597,387 research outputs found

    Addressing A Missing Link In Higher Education On-line Content Development: Toward A Tripartite Collaborative Model

    Get PDF
    Although more than a dozen methods for developing and offering courses through distance education have been utilized over the years, the offering of on-line courses through the “World Wide Web” is still in its infancy. The number of failures in managing such on-line offerings calls for substantial research to explore why some programs are successful while others fail.  A few years ago, dozens of business schools in the US were trying to position themselves in what was promised to be a lucrative market for on-line education and training.  While some institutions have successfully established internet-based programs, many others have scrapped their on-line projects.  Many reasons account for these failures.  Among these are misinterpretations of the market, problems faced by traditional schools, start-up costs, choice of development/delivery model and faculty skepticism.  While all these reasons have a great impact on the results of the first decade of on-line education experience, this paper focuses on what seems to be the major factor: finding the right on-line model.  The paper suggests that an on-line higher education model based on a partnership between the institution, the content experts and the e-learning technology providers is the most functional.  This model helps each partner clearly determine an appropriate role, increasing the likelihood of a successful outcome

    Students’ perception to integrate education 4.0 in Science program

    Full text link
    [EN] This study aims to explore students’ perception of integrating education 4.0 in the Science program. The technology acceptance model was used to determine students’ understanding of integrating education 4.0 focusing on the Science program. This research was conducted using a qualitative approach. The interview was used to collect the data. Five respondents among Science students were interviewed. They were undergraduate students pursue study in a science education program. The finding of the interview result showed that students had positive responses in integrating education 4.0 for technological sustainable development. The results of the study showed that students had a positive understanding of the three aspects namely, readiness in integrating education 4.0 for the Science program, the impact of technology facilities, and enhancing digital skills for employability. We recommend further research to evaluate the preparation or readiness of students to integrate training using technology 4.0. Based on the results, further research is proposed to take into account new education skills among Science students in line with the industrial revolution 4.0.We would like to acknowledge the financial support provided by the Ministry of Education FRGS grant FP024-2018A.Halili, SH.; Sulaiman, S. (2021). Students’ perception to integrate education 4.0 in Science program. Multidisciplinary Journal for Education, Social and Technological Sciences. 8(1):45-57. https://doi.org/10.4995/muse.2021.14768OJS455781Afolabi, A.A. (2015). Availability of online learning tools and the readiness of teachers and students towards it in Adenkule Ajasin University, Akungba-Akoko, Ondo State, Nigeria. Procedia - Social and Behavioral Sciences, 176, 610-615. https://doi.org/10.1016/j.sbspro.2015.01.517Ahmad, J. (2012). Can a university act as a corporate social responsibility (CSR) driver? An analysis. Social Responsibility Journal, 8(1), 77-86. https://doi.org/10.1108/17471111211196584Ali, W. (2016). Nursing students' readiness for e-learning experience. Gynecology & Obstetrics. 6. https://doi.org/10.4172/2161-0932.1000388.Anthony, D.C. (2003). The critical role of higher education in creating a sustainable future. Planning for higher education, 15-22.Anuar, R., Wan Zakaria, W.Z., Md Noor, H. & Othman, N. F. (2016). TPACK in VAE: A study on students' readiness to use e-learning in the teaching and learning of visual art education. In C.Y. Fook et.al (Eds.), Proceedings of the 7th International Conference on University Learning and Teaching (InCULT 2014) (pp.811-822). Singapore: Springer Science + Business Media Singapore. https://doi.org/10.1007/978-981-287-664-5_64Beaumont, E., Gedye, S., & Richardson, S. (2016). 'Am I employable?': Understanding students' employability confidence and their perceived barriers to gaining employment. Journal of Hospitality, Leisure, Sport & Tourism Education, 19, 1-9. https://doi.org/10.1016/j.jhlste.2016.06.001Blaschke, L. M. (2012). Heutagogy and lifelong learning: A review of heutagogical practice and self-determined learning. International Review of Research in Open and Distance Learning, 13(1), 56-71. https://doi.org/10.19173/irrodl.v13i1.1076Bridgstock, R. (2009). The graduate attributes we've overlooked: Enhancing graduate employability through career management skills. Higher Education Research & Development, 28(1), 31-44. https://doi.org/10.1080/07294360802444347Casasus, E.T., Ivars, E.A., & Lopez, R.M.I. (2018). Present and future of the e-learning in economics schools and faculties. Multidisciplinary Journal for Education, Social and Technological Sciences, 5(1), 44-64. https://doi.org/10.4995/muse.2018.9777.Centre for Teaching Excellence & Academic Quality. (2017). Criteria for Academic Program 4.0. http://www.ums.edu.my/ppsav2/index.php/ms/muat-turun/kriteria-untuk-program-akademik-4-0Contreras, J.O. & Hilles, S.M.S. (2015). Assesment in e-learning environment readiness of teaching staff, administrators and students of Faculty of Nursing-Benghazi University. International Journal of the Computer, the Internet and Management, 23(1), 53-58.Dacre Pool, L., Qualter, P., & J. Sewell, P. (2014). Exploring the factor structure of the CareerEDGE employability development profile. Education & Training, 56(4), 303-313. https://doi.org/10.1108/ET-01-2013-0009Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008Deanna, Z. (2016). Connecting the 4Cs of 21st century education (with a 5th C!). https://www.linkedin.com/pulse/connecting-4cs-21st-century-education-5th-c-deanna-zauchaDzulkifli Abdul Razak. (2017). 4th industry revolution: Can I technology. https://www.majalahsains.com/revolusi-industri-ke-4-mampukah-menginsankan-teknologi/Halili, S.H. (2019). Technological advancements in education 4.0. The Online Journal of Distance Education and e-Learning, 7(10), 63-69.Jennie, C. S., Marian, E.H., Mikael, R., Amanda, C.G. & Roland, S. (2008). Higher education as a change agent for sustainability in different cultures and contexts. International Journal of Sustainability in Higher Education, 9(3), 317-338. https://doi.org/10.1108/14676370810885916John, B., & Cedric, C. (2004). The sustainability curriculum: The challenge for higher education. London.Kajornboon, A. B. (2004). Creating Useful Knowledge: A Case Study of Policy Development in E-learning at Chulalongkorn University Language Institute. (Dissertation). Australia.Klaus, S. (2017). The fourth industrial revolution. London.Kubilay, K., & Ozden, T. (2012). Challenges for Science Education. Procedia - Social and Behavioral Sciences, 51(2012), 763 - 771. https://doi.org/10.1016/j.sbspro.2012.08.237Lorna, K. (2016). Pedagogy and Technology: Integrating 5C's of 21st Century education. http://fishtreeblog.tumblr.com/post/112037114985/pedagogy-and-technology-integrating-the-5-cs-ofMalaysia Ministry of Higher Education Malaysia. (2018). Framing Malaysian higher education 4.0: Future-proof talents. Putrajaya.Malaysian Qualifications Agency. (2018). Code of practice for Open and Distance Learning, The Standards Division, Malaysian Qualifications Agency, 1-34.Miller, B. (2015). The 6 C's squared version of learning skills for the twenty-first century. http://flipped4science.blogspot.my/p/the-6-cs-of-education-for-future-during.htmlMoore, R. K. (2012). A Bayesian explanation of the 'Uncanny Valley' effect and related psychological phenomena. Nature Scientific Reports, 2,10-23. https://doi.org/10.1038/srep00864Ng, S.B. (2014). Malaysian school Science education: Challenges and the way forward. http://research.utar.edu.my/SoSE2014/1.Challenges%20and%20issues%20in%20science%20education.pdfOthman, R., & Othman, R. (2014). Higher education institutions and social performance: Evidence from public and private universities. International Journal of Business and Society, 15(1), 1-18.Pai, F., & Huang, K. (2011). Applying the Technology Acceptance Model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650-660. https://doi.org/10.1016/j.techfore.2010.11.007Park, N. (2009). User acceptance of e-learning in higher education: An application of Technology Acceptance Model. Paper presented at the Annual meeting of the International Communication Association, New York.Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). London.Penaloza, F., J.L., & Vargas, P.C. (2017). Big-data and the challenges for statistical inference and economics teaching and learning. Multidisciplinary Journal for Education, Social and Technological Sciences, 4(1), 64-87. https://doi.org/10.4995/muse.2017.6350Rose, A. (2016). STEM pedagogical approach for primary Science teachers' through early Engineering training program. http://eprints.um.edu.my/16793/1/0001.pdfSuguneswary, R. (2014). Teachers' acceptance of using information communication and technology in teaching Tamil language in a primary school, Master thesis, University Malaya.Swaim, J. A., Maloni, M. J., Napshin, S. A., & Henley, A. B. (2014). Influences on student intention and behaviour toward environmental sustainability. Journal of Business Ethics, 124(3), 465-484. https://doi.org/10.1007/s10551-013-1883-zThi, T. H. T., Ronald, S. L., & Kylie, S. (2018). The Importance of Developing Soft Skill Sets for the Employability of Business Graduates in Vietnam: A Field Study on Selected Business Employers. Journal of Education and Culture Studies, 2(1), 32-45. https://doi.org/10.22158/jecs.v2n1p32Thomas, W., & Gerold, W, L. (2016). Academic education 4.0: University of Applied Science Upper Austria (Austria) International Conference on Education and New Developments 2016 Conference: Conference: END 2016 International Conference on Education and New Developments, At Ljubljana, 155-159.Track, D. (2017). Preparing sports graduates for employment: Satisfying employers expectations. Higher Education, Skills and Work-Based Learning, 7(4), 354-368. https://doi.org/10.1108/HESWBL-02-2017-0017Tracy, S.J. (2013). Qualitative Research Method: Collecting evidence, crafting analysis, communicating impact. United Kingdom.Ulrike, S.F. (2018). The need for digital and soft skills in the Romanian business service industry. Management & Marketing. Challenges for the Knowledge Society. 13(1), 831-847. https://doi.org/10.2478/mmcks-2018-008Vasja, R., Maja, M., & Alojz, K. (2016). A Complex View of Industry 4.0. https://doi.org/10.1177/215824401665398

    Are we ready for the new normal in e-business education? Sentiment analysis of learners' opinions on MOOCs

    Get PDF
    Introduction. The new digital economy and its constantly evolving paradigm have completely transformed the model of doing business and the learning methods. MOOCs (massive-open-online-courses) and micro-credentials are the educations interfaces, have become an important teaching environment tool. Distance learning has become an indispensable alternative teaching method in updating and transferring classical education materials according to real-world settings, especially for learners in higher education.Aim. The current research is aimed to address the society's readiness and attitude direction to the concept of MOOCs and distance learning, highlighting its emergence and inevitability for educational institutions of all types in order to make a fundamental change in their curricula, especially in e-business courses, which are the most demanded training courses on MOOCs platforms.Methodology and research methods. In the study, the awareness and recognition of the online community on the MOOCs concept is examined. In this direction, Turkish people's perception and attitudes toward MOOCs have been addressed via sentiment analysis on Eksi Sozluk, the largest social communication and discussion platform in Turkey.Results. According to the sentiment analysis results, it has been determined that 52% of respondents have positive judgments on distance education and MOOCs, 29% of responses are neutral and 18% are negative. In general, distance education and MOOCs are perceived as a useful new education model by the Turkish people.Scientific novelty. This paper is the first sentiment analysis of learners' opinions on MOOCs and distance learning in Turkey. Considering the increasing awareness of MOOCs and the need for e-business education, as the most demanded type of MOOCs, this is the first study investigating the priority of these two phenomena within the context of COVID-19.Practical significance. It is thought that this study will contribute to the stakeholders in terms of showing how MOOCs and micro-credentials have a high potential to understanding trends in education especially in the new normal after the COVID-19 pandemic. The holistic education model of institutions has difficulty meeting the competitive nature and result-oriented approach of the e-business ecosystem. This market reality requires the institutions to offer more to-the-point and applied education solutions. In terms of e-business (e-commerce, digital marketing) education, the importance of MOOCs as a solution-focused on “how” rather than “what” has been comprehensively discussed in the paper.Введение. Новая цифровая экономика и ее постоянно развивающаяся парадигма полностью изменили модель ведения бизнеса и методы обучения. MOOK (массовые открытые онлайн-курсы) и программы микроквалификаций - это образовательные интерфейсы, которые превратились в важный инструмент учебной среды. В высших учебных заведениях дистанционное обучение стало незаменимым альтернативным методом преподавания при обновлении и передаче классических учебных материалов в соответствии с реальными условиями.Цель данного исследования - определить готовность и отношение общества к концепции МООК и дистанционного обучения, а также подчеркнуть неизбежность их использования в образовательных учреждениях любого уровня, для того чтобы внести фундаментальные изменения в учебные планы, особенно в программы курсов электронного бизнеса - наиболее востребованного направления образовательных курсов на платформах МООК.Методология и методы исследования. В исследовании анализируется осведомленность общества о концепции MOOK. Восприятие и отношение респондентов к МООК было рассмотрено с помощью сентимент-анализа на платформе Eksi Sozluk (социальная коммуникационно-дискуссионная онлайн-площадка). Результаты. Согласно результатам сентимент-анализа, 52 % опрошенных оценивают дистанционное обучение и МООК положительно, 29 % - нейтрально и 18 % - отрицательно. В общем, дистанционное образование и МООК воспринимаются респондентами как новая полезная модель образования. Научная новизна. Авторы впервые провели сентимент-анализ мнений о МООК и дистанционном обучении среди пользователей этих платформ в Турции. Это первое исследование, в котором рассматривается приоритетность растущей осведомленности о МООК и необходимости в дистанционном бизнес-образовании как наиболее предпочтительном типе МООК в условиях пандемии COVID-19. Практическая значимость. Предполагается, что данное исследование будет способствовать демонстрации заинтересованным участникам того, что МООК и программы микроквалификаций имеют высокий потенциал для осмысления тенденций изменения образования, особенно в условиях модели новой нормальности после пандемии COVID-19. Целостная образовательная модель учреждения образования сопряжена с трудностями в плане соответствия конкурентному характеру и ориентированному на результат подходу экосистемы электронного бизнеса. Рыночная реальность требует, чтобы учебные заведения предлагали более целенаправленные и прикладные образовательные решения для развития данной сферы обучения. Что касается курсов электронного бизнеса (электронная коммерция, цифровой маркетинг), то важность MOOК как решения, ориентированного на то, как, а не что, подробно обсуждается в статье.The present research is supported by Inonu University Scientific Research Projects Coordination Unit (Project No. SBA-2021-2442).Данное исследование поддержано Отделом координации научно-исследовательских проектов Университета Инёню (проект № SBA-2021-2442)

    Paralegal Students’ and Paralegal Instructors’ Perceptions of Synchronous and Asynchronous Online Paralegal Course Effectiveness: A Comparative Study

    Get PDF
    To improve online learning pedagogy within the field of paralegal education, this study investigated how paralegal students and paralegal instructors perceived the effectiveness of synchronous and asynchronous online paralegal courses.  This study intended to inform paralegal instructors and course developers how to better design, deliver, and evaluate effective online course instruction in the field of paralegal studies.Survey results were analyzed using independent samples t-test and correlational analysis, and indicated that overall, paralegal students and paralegal instructors positively perceived synchronous and asynchronous online paralegal courses.  Paralegal instructors reported statistically significant higher perceptions than paralegal students: (1) of instructional design and course content in synchronous online paralegal courses; and (2) of technical assistance, communication, and course content in asynchronous online paralegal courses.  Instructors also reported higher perceptions of the effectiveness of universal design, online instructional design, and course content in synchronous online paralegal courses than in asynchronous online paralegal courses.  Paralegal students reported higher perceptions of asynchronous online paralegal course effectiveness regarding universal design than paralegal instructors.  No statistically significant differences existed between paralegal students’ perceptions of the effectiveness of synchronous and asynchronous online paralegal courses. A strong, negative relationship existed between paralegal students’ age and their perceptions of effective synchronous paralegal courses, which were statistically and practically significant.  Lastly, this study provided practical applicability and opportunities for future research. Akyol, Z., & Garrison, D. R. (2008). The development of a community of inquiry over time in an online course: Understanding the progression and integration of social, cognitive and teaching presence. Journal of Asynchronous Learning Networks, 12, 3-22.  Retrieved from https://files.eric.ed.gov/fulltext/EJ837483.pdf Akyol, Z., Garrison, D. R., & Ozden, M. Y. (2009). Online and blended communities of inquiry: Exploring the developmental and perceptional differences. The International Review of Research in Open and Distributed Learning, 10(6), 65-83.  Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/765/1436 Allen, I. E., & Seaman, J. (2014). Grade change: Tracking online education in the United States. Babson Park, MA:  Babson Survey Research Group and Quahog Research Group, LLC.  Retrieved from https://www.utc.edu/learn/pdfs/online/sloanc-report-2014.pdf Alreck, P. L., & Settle, R. B. (2004). The Survey Research Handbook (3rd ed.) New York, NY: McGraw-Hill Irwin. American Association for Paralegal Education (2013, Oct.).  AAfPE core competencies for paralegal programs.  Retrieved from https://cdn.ymaws.com/www.aafpe.org/resource/resmgr/Docs/AAfPECoreCompetencies.pdf American Bar Association, Standing Committee on Paralegals.  (2017). https://www.americanbar.org/groups/paralegals.html American Bar Association, Standing Committee on Paralegals (2013, September).  Guidelines for the approval of paralegal education programs.  Retrieved from https://www.americanbar.org/content/dam/aba/administrative/paralegals/ls_prlgs_2013_paralegal_guidelines.authcheckdam.pdf Astani, M., Ready, K. J., & Duplaga, E. A. (2010). Online course experience matters: Investigating students’ perceptions of online learning. Issues in Information Systems, 11(2), 14-21.  Retrieved from http://iacis.org/iis/2010/14-21_LV2010_1526.pdf Bailey, C. J., & Card, K. A. (2009). Effective pedagogical practices for online teaching: Perception of experienced instructors. The Internet and Higher Education, 12, 152-155. doi: 10.1016/j.iheduc.2009.08.002 Bernard, R., Abrami, P., Borokhovski, E., Wade, C., Tamim , R., Surkes, M., & Bethel, E. (2009).  A meta-analysis of three types of interaction treatments in distance education.  Review of Educational Research, 79, 1243-1289.  doi: 10.3102/0034654309333844 Cherry, S. J., & Flora, B. H. (2017). Radiography faculty engaged in online education: Perceptions of effectiveness, satisfaction, and technological self-efficacy. Radiologic Technology, 88(3), 249-262.  http://www.radiologictechnology.org/ Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Taylor & Francis Group. Colorado, J. T., & Eberle, J. (2010). Student demographics and success in online learning environments.  Emporia State Research Studies, 46(1), 4-10.  Retrieved from https://esirc.emporia.edu/bitstream/handle/123456789/380/205.2.pdf?sequence=1 Dutcher, C. W., Epps, K. K., & Cleaveland, M. C. (2015). Comparing business law in online and face to face formats: A difference in student learning perception. Academy of Educational Leadership Journal, 19, 123-134.  http://www.abacademies.org/journals/academy-of-educational-leadership-journal-home.html Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191.  Retrieved from http://www.gpower.hhu.de/fileadmin/redaktion/Fakultaeten/Mathematisch-Naturwissenschaftliche_Fakultaet/Psychologie/AAP/gpower/GPower3-BRM-Paper.pdf Field, A. (2009).  Discovery statistics using SPSS. (3rd ed.).  Thousand Oaks, CA:  Sage Publications, Inc. Gall M., Borg, W., & Gall, J. (1996). Educational research: An introduction (6th ed.). White Plains, NY: Longman Press. Garrison, D. R., Anderson, T., & Archer, W. (2001). Critical thinking, cognitive presence, and computer conferencing in distance education. American Journal of distance education, 15(1), 7-23.  Retrieved from http://cde.athabascau.ca/coi_site/documents/Garrison_Anderson_Archer_CogPres_Final.pdf Green, S. B., & Salkind, N. J. (2005). Using SPSS for Windows and Macintosh: Internal consistency estimates of reliability. Upper Saddle River, NJ: Pearson Prentice Hall. Harrell, I. L. (2008). Increasing the Success of Online Students. Inquiry, 13(1), 36-44.  Retrieved from http://files.eric.ed.gov/fulltext/EJ833911.pdf Horspool, A., & Lange, C. (2012). Applying the scholarship of teaching and learning: student perceptions, behaviours and success online and face-to-face. Assessment & Evaluation in Higher Education, 37, 73-88.  doi: 10.1080/02602938.2010.496532 Inman, E., Kerwin, M., & Mayes, L. (1999). Instructor and student attitudes toward distance learning. Community College Journal of Research & Practice, 23, 581-591.  doi:10.1080/106689299264594 Institute of Legal Executives (ILEX).  https://www.cilexcareers.org.uk/ Johnson, J. & Taggart, G. (1996).  Computer assisted instruction in paralegal education: Does it help? Journal of Paralegal Education and Practice, 12, 1-21. Johnstone, Q. & Flood, J. (1982).  Paralegals in English and American law offices.  Windsor YB Access to Justice 2, 152. Jones, S. J. (2012). Reading between the lines of online course evaluations: Identifiable actions that improve student perceptions of teaching effectiveness and course value. Journal of Asynchronous Learning Networks, 16(1), 49-58.  doi:http://dx.doi.org/10.24059/olj.v16i1.227 Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30, 607-610.  http://journals.sagepub.com/home/epm Liu, S., Gomez, J., Khan, B., & Yen, C. J. (2007). Toward a learner-oriented community college online course dropout framework. International Journal on ELearning, 6(4), 519-542.  https://www.learntechlib.org/j/IJEL/ Lloyd, S. A., Byrne, M. M., & McCoy, T. S. (2012). Faculty-perceived barriers of online education. Journal of online learning and teaching, 8(1), 1-12.  Retrieved from http://jolt.merlot.org/vol8no1/lloyd_0312.pdf Lockee, B., Burton, J., & Potter, K. (2010, March). Organizational perspectives on quality in distance learning. In D. Gibson & B. Dodge (Eds.), Proceedings of SITE 2010—Society for Information Technology & Teacher Education International Conference (pp. 659-664). San Diego, CA:  Association for the Advancement of Computing in Education (AACE).  https://www.learntechlib.org/p/33419/ Lowerison, G., Sclater, J., Schmid, R. F., & Abrami, P. C. (2006). Student perceived effectiveness of computer technology use in post-secondary classrooms. Computers & Education, 47(4), 465-489.  doi:10.1016/j.compedu.2004.10.014  Retrieved from https://pdfs.semanticscholar.org/fc9c/13f0187d3967217aa82cc96c188427e29ec9.pdf Martins, L. L., & Kellermanns, F. W. (2004). A model of business school students' acceptance of a web-based course management system. Academy of Management Learning & Education, 3(1), 7-26.  doi: 10.5465/AMLE.2004.12436815 Mayes, J. T. (2001). Quality in an e-University. Assessment & Evaluation in Higher Education, 26, 465-473.  doi:10.1080/02602930120082032 McCabe, S. (2007).  A brief history of the paralegal profession.  Michigan Bar Journal, 86(7), 18-21.  Retrieved from https://www.michbar.org/file/barjournal/article/documents/pdf4article1177.pdf McMillan, J. H. (2008). Educational Research: Fundamentals for the customer.  Boston, MA:  Pearson Education, Inc. Myers, C. B., Bennett, D., Brown, G., & Henderson, T. (2004). Emerging online learning environments and student learning: An analysis of faculty perceptions. Educational Technology & Society, 7(1), 78-86.  Retrieved from http://www.ifets.info/journals/7_1/9.pdf Myers, K. (2002). Distance education: A primer.  Journal of Paralegal Education & Practice, 18, 57-64. Nunnaly, J. (1978). Psychometric theory. New York: McGraw-Hill. Otter, R. R., Seipel, S., Graeff, T., Alexander, B., Boraiko, C., Gray, J., Petersen, K., & Sadler, K. (2013). Comparing student and faculty perceptions of online and traditional courses. The Internet and Higher Education, 19, 27-35.  doi:10.1016/j.iheduc.2013.08.001 Popham, W. J. (2000). Modern educational measurement: Practical guidelines for educational leaders. Boston, MA:  Allyn & Bacon. Rich, A. J., & Dereshiwsky, M. I. (2011). Assessing the comparative effectiveness of teaching undergraduate intermediate accounting in the online classroom format. Journal of College Teaching and Learning, 8(9), 19.  https://www.cluteinstitute.com/ojs/index.php/TLC/ Robinson, C., & Hullinger, H. (2008).  New benchmarks in higher education:  Student engagement in online learning.  The Journal of Education for Business, 84(2), 101-109.  Retrieved from http://anitacrawley.net/Resources/Articles/New%20Benchmarks%20in%20Higher%20Education.pdf Salkind, N. J. (2008). Statistics for people who think they hate statistics. Los Angeles, CA: Sage Publications. Santos, J. (1999, April). Cronbach's Alpha: A tool for assessing the reliability of scales.  Journal of Extension, 37, 2. Retrieved from https://www.joe.org/joe/1999april/tt3.php Seok, S., DaCosta, B., Kinsell, C., & Tung, C. K. (2010). Comparison of instructors' and students' perceptions of the effectiveness of online courses. Quarterly Review of Distance Education, 11(1), 25.  Retrieved from http://online.nuc.edu/ctl_en/wp-content/uploads/2015/08/Online-education-effectiviness.pdf Sheridan, K., & Kelly, M. A. (2010). The indicators of instructor presence that are important to students in online courses. Journal of Online Learning and Teaching, 6(4), 767-779.  Retrieved from http://jolt.merlot.org/vol6no4/sheridan_1210.pdf Shook, B. L., Greer, M. J., & Campbell, S. (2013). Student perceptions of online instruction. International Journal of Arts & Sciences, 6(4), 337.  Retrieved from https://s3.amazonaws.com/academia.edu.documents/34496977/Ophoff.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1508119686&Signature=J1lJ8VO0xardd%2FwH35pGj14UeBg%3D&response-content-disposition=inline%3B%20filename%3DStudent_Perceptions_of_Online_Learning.pdf Song, L., Singleton, E. S., Hill, J. R., & Koh, M. H. (2004). Improving online learning: Student perceptions of useful and challenging characteristics. The Internet and Higher Education, 7, 59-70.  doi:10.1016/j.iheduc.2003.11.003 Steiner, S. D., & Hyman, M. R. (2010). Improving the student experience: Allowing students enrolled in a required course to select online or face-to-face instruction. Marketing Education Review, 20, 29-34.  doi:10.2753/MER1052-8008200105 Stoel, L., & Hye Lee, K. (2003). Modeling the effect of experience on student acceptance of web-based courseware. Internet Research, 13(5), 364-374.  http://www.emeraldinsight.com/loi/intr Taggart, G., & Bodle, J. H. (2003). Example of assessment of student outcomes data from on-line paralegal courses: Lessons learned. Journal of Paralegal Education & Practice, 19, 29-36. Tanner, J. R., Noser, T. C., & Totaro, M. W. (2009). Business faculty and undergraduate students' perceptions of online learning: A comparative study. Journal of Information Systems Education, 20, 29-40.  http://jise.org/ Tung, C.K. (2007).  Perceptions of students and instructors of online and web-enhanced course effectiveness in community colleges (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses database (Publication No. AAT 3284232). Vodanovich, S. J.  & Piotrowski, C., & (2000). Are the reported barriers to Internet-based instruction warranted? A synthesis of recent research. Education, 121(1), 48-53.  http://www.projectinnovation.com/education.html Ward, M. E., Peters, G., & Shelley, K. (2010). Student and faculty perceptions of the quality of online learning experiences. The International Review of Research in Open and Distributed Learning, 11, 57-77.  Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/867/1610? Wilkes, R. B., Simon, J. C., & Brooks, L. D. (2006). A comparison of faculty and undergraduate students' perceptions of online courses and degree programs. Journal of Information Systems Education, 17, 131-140. http://jise.org/

    Adoption of E-Learning at Higher Education Institutions: A Systematic Literature Review

    Full text link
    [EN] The concept of e-learning offers a number of benefits, however, the effective adoption of e-learning systems at HEIs is a relatively new concept and thus a challenging task. The comprehensive review of extant literature on the topic of adoption of e-learning systems at HEIs is provided. Using PRISMA search technique, relevant articles published from 2005 to 2020 owing to the widespread adoption of e-learning since 2005 were selected. The paper identifies and puts forward the level of compatibility and readiness of students and teachers in adopting e-learning, factors that motivate and hinder the adoption of e-learning respectively, benefits of adopting an e-learning system, and the strategies for the effective implementation of e-learning at the higher education institutions. In this realm of COVID-19 and e-learning, this paper also envisage different strategies, policies and recommendations for implementing e-learning in an effective way at HEIs.Awan, RK.; Afshan, G.; Memon, AB. (2021). Adoption of E-Learning at Higher Education Institutions: A Systematic Literature Review. Multidisciplinary Journal for Education, Social and Technological Sciences. 8(2):74-91. https://doi.org/10.4995/muse.2021.15813OJS749182Abou El-Seoud, M. S., Taj-Eddin, I. A., Seddiek, N., El-Khouly, M. M., & Nosseir, A. (2014). E-learning and students' motivation: A research study on the effect of e-learning on higher education. International Journal of Emerging Technologies in Learning, 9(4), 20-26. https://doi.org/10.3991/ijet.v9i4.3465Ahmed, S. S., Khan, E., Faisal, M., & Khan, S. (2017). The potential and challenges of MOOCs in Pakistan: a perspective of students and faculty. Asian Association of Open Universities Journal. https://doi.org/10.1108/AAOUJ-01-2017-0011Akçayır, M., Akçayır, G., Pektaş, H. M., & Ocak, M. A. (2016). Augmented reality in science laboratories: The effects of augmented reality on university students' laboratory skills and attitudes toward science laboratories. Computers in Human Behavior, 57, 334-342. https://doi.org/10.1016/j.chb.2015.12.054Al-Azawei, A., Parslow, P., & Lundqvist, K. (2017). Investigating the effect of learning styles in a blended e-learning system: An extension of the technology acceptance model (TAM). Australasian Journal of Educational Technology, 33(2). https://doi.org/10.14742/ajet.2741Al-Okaily, M., Alqudah, H., Matar, A., Lutfi, A., & Taamneh, A. (2020). Dataset on the Acceptance of e-learning System among Universities Students' under the COVID-19 Pandemic Conditions. Data in brief, 32, 106176. https://doi.org/10.1016/j.dib.2020.106176Al‐Taweel, F. B., Abdulkareem, A. A., Gul, S. S., & Alshami, M. L. (2021). Evaluation of technology‐based learning by dental students during the pandemic outbreak of coronavirus disease 2019. European Journal of Dental Education, 25(1), 183-190. https://doi.org/10.1111/eje.12589Al Shuaili, K., Al Musawi, A. S., & Hussain, R. M. (2020). The effectiveness of using augmented reality in teaching geography curriculum on the achievement and attitudes of Omani 10th Grade Students. Multidisciplinary Journal for Education, Social Technological Sciences, 7(2), 20-29. https://doi.org/10.4995/muse.2020.13014Alqahtani, A. Y., & Rajkhan, A. A. J. E. s. (2020). E-learning critical success factors during the covid-19 pandemic: A comprehensive analysis of e-learning managerial perspectives. 10(9), 216. https://doi.org/10.3390/educsci10090216Au, O. T.-S., Li, K., & Wong, T. (2019). Student persistence in open and distance learning: success factors and challenges. Asian Association of Open Universities Journal. https://doi.org/10.1108/AAOUJ-12-2018-0030Azlan, C. A., Wong, J. H. D., Tan, L. K., Huri, M. S. N. A., Ung, N. M., Pallath, V., Tan, C. P. L., Yeong, C. H., & Ng, K. H. (2020). Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic-A case study from Malaysia. Physica Medica, 80, 10-16. https://doi.org/10.1016/j.ejmp.2020.10.002Bates, A. T. (2005). Technology, e-learning and distance education: Routledge. https://doi.org/10.4324/9780203463772Birch, D., & Burnett, B. (2009). Bringing academics on board: Encouraging institution-wide diffusion of e-learning environments. Australasian Journal of Educational Technology, 25(1). https://doi.org/10.14742/ajet.1184Cha, H., Park, T., & Seo, J. J. S. (2020). What should be considered when developing ICT-integrated classroom models for a developing country? , 12(7), 2967. https://doi.org/10.3390/su12072967Costa, C., Alvelos, H., & Teixeira, L. (2012). The use of Moodle e-learning platform: a study in a Portuguese University. Procedia Technology, 5, 334-343. https://doi.org/10.1016/j.protcy.2012.09.037Erdmann, A., & Torres Marín, A. J. (2019). Can we improve academic performance and student satisfaction without additional time cost for teachers? Evidence from a blended methodology in Microeconomics. Multidisciplinary Journal for Education, Social Technological Sciences, 6(2), 54-91. https://doi.org/10.4995/muse.2019.11869Fereday, J., & Muir-Cochrane, E. (2006). Demonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme development. International journal of qualitative methods, 5(1), 80-92. https://doi.org/10.1177/160940690600500107Gerbic, P. (2011). Teaching using a blended approach-what does the literature tell us? Educational Media International, 48(3), 221-234. https://doi.org/10.1080/09523987.2011.615159Grimus, M. (2020). Emerging technologies: Impacting learning, pedagogy and curriculum development. In Emerging technologies and pedagogies in the curriculum (pp. 127-151): Springer. https://doi.org/10.1007/978-981-15-0618-5_8Hasan, R., Palaniappan, S., Mahmood, S., Abbas, A., Sarker, K. U., & Sattar, M. U. (2020). Predicting student performance in higher educational institutions using video learning analytics and data mining techniques. Applied Sciences, 10(11), 3894. https://doi.org/10.3390/app10113894Holt, D., Palmer, S., Munro, J., Solomonides, I., Gosper, M., Hicks, M., Sankey, M., Allan, G., & Hollenbeck, R. (2013). Leading the quality management of online learning environments in Australian higher education. Australasian Journal of Educational Technology, 29(3). https://doi.org/10.14742/ajet.84Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K., & Muhamad, N. (2018). Big data emerging technology: insights into innovative environment for online learning resources. International Journal of Emerging Technologies in Learning, 13(1), 23-36. https://doi.org/10.3991/ijet.v13i01.6990Ibrahim, M. M., & Nat, M. (2019). Blended learning motivation model for instructors in higher education institutions. International Journal of Educational Technology in Higher Education, 16(1), 1-21. https://doi.org/10.1186/s41239-019-0145-2Islam, A. N., & Azad, N. (2015). Satisfaction and continuance with a learning management system: Comparing perceptions of educators and students. The International Journal of Information Learning Technology. https://doi.org/10.1108/IJILT-09-2014-0020Jones, C., Ramanau, R., Cross, S., & Healing, G. (2010). Net generation or Digital Natives: Is there a distinct new generation entering university? Computers Education, 54(3), 722-732. https://doi.org/10.1016/j.compedu.2009.09.022Kamba, M. (2009). Problems, challenges and benefits of implementing e-learning in Nigerian universities: An empirical study. International Journal of Emerging Technologies in Learning, 4(1), 66-69. https://doi.org/10.3991/ijet.v4i1.653https://doi.org/10.3991/ijet.v4i1.653Kasim, N. N. M., & Khalid, F. (2016). Choosing the right learning management system (LMS) for the higher education institution context: A systematic review. International Journal of Emerging Technologies in Learning, 11(6). https://doi.org/10.3991/ijet.v11i06.5644Kennedy, G. E., Judd, T. S., Churchward, A., Gray, K., & Krause, K.-L. (2008). First year students' experiences with technology: Are they really digital natives? Australasian Journal of Educational Technology, 24(1). https://doi.org/10.14742/ajet.1233Khan, A. A., & Umair, S. (2017). Handbook of research on mobile devices and smart gadgets in K-12 education: IGI Global. https://doi.org/10.4018/978-1-5225-2706-0Kim, H. J., Hong, A. J., & Song, H.-D. (2019). The roles of academic engagement and digital readiness in students' achievements in university e-learning environments. International Journal of Educational Technology in Higher Education, 16(1), 1-18. https://doi.org/10.1186/s41239-019-0152-3Kjellsdotter, A. (2020). What matter (s)? A didactical analysis of primary school teachers' ICT integration. Journal of Curriculum Studies, 52(6), 823-839. https://doi.org/10.1080/00220272.2020.1759144Kobusińska, A., Leung, C., Hsu, C.-H., Raghavendra, S., & Chang, V. (2018). Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing. In: Elsevier. https://doi.org/10.1016/j.future.2018.05.021Lange, C., & Costley, J. (2020). Improving online video lectures: learning challenges created by media. International Journal of Educational Technology in Higher Education, 17(1), 1-18. https://doi.org/10.1186/s41239-020-00190-6Leo, S., Alsharari, N. M., Abbas, J., & Alshurideh, M. T. (2021). From Offline to Online Learning: A Qualitative Study of Challenges and Opportunities as a Response to the COVID-19 Pandemic in the UAE Higher Education Context. The Effect of Coronavirus Disease on Business Intelligence, 334, 203. https://doi.org/10.1007/978-3-030-67151-8_12Maldonado, U. P. T., Khan, G. F., Moon, J., & Rho, J. J. (2011). E‐learning motivation and educational portal acceptance in developing countries. Online Information Review. https://doi.org/10.1108/14684521111113597Mayer, R. E. (2014). Multimedia instruction. In Handbook of research on educational communications and technology (pp. 385-399): Springer. https://doi.org/10.1007/978-1-4614-3185-5_31Mehall, S. (2021). Purposeful interpersonal interaction and the point of diminishing returns for graduate learners. The Internet Higher Education, 48, 100774. https://doi.org/10.1016/j.iheduc.2020.100774Memon, A. B., & Meyer, K. (2017). Why we need dedicated web-based collaboration platforms for inter-organizational connectivity? A research synthesis. International Journal of Information Technology and Computer Science, 9(11), 1-11. https://doi.org/10.5815/ijitcs.2017.11.01Moore, J. L., Dickson-Deane, C., & Galyen, K. (2011). e-Learning, online learning, and distance learning environments: Are they the same? The Internet Higher Education, 14(2), 129-135. https://doi.org/10.1016/j.iheduc.2010.10.001Mtebe, J. S., & Raphael, C. J. A. J. o. E. T. (2018). Key factors in learners' satisfaction with the e-learning system at the University of Dar es Salaam, Tanzania. 34(4). https://doi.org/10.14742/ajet.2993Mumtaz, N., Saqulain, G., & Mumtaz, N. (2021). Online academics in Pakistan: COVID-19 and beyond. Pakistan Journal of Medical Sciences, 37(1), 283. https://doi.org/10.12669/pjms.37.1.2894Naveed, Q. N., Muhammed, A., Sanober, S., Qureshi, M. R. N., & Shah, A. (2017). Barriers Effecting Successful Implementation of E-Learning in Saudi Arabian Universities. International Journal of Emerging Technologies in Learning, 12(6). https://doi.org/10.3991/ijet.v12i06.7003Ngampornchai, A., & Adams, J. (2016). Students' acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(1), 1-13. https://doi.org/10.1186/s41239-016-0034-xOlum, R., Atulinda, L., Kigozi, E., Nassozi, D. R., Mulekwa, A., Bongomin, F., Kiguli, S. J. J. o. M. E., & Development, C. (2020). Medical education and E-learning during COVID-19 pandemic: awareness, attitudes, preferences, and barriers among undergraduate medicine and nursing students at Makerere University, Uganda. 7, 2382120520973212. https://doi.org/10.1177/2382120520973212Ouatik, F., & Ouatik, F. (2021). Learning Management System Comparison: New Approach Using Multi-Criteria Decision Making. Paper presented at the International Conference on Business Intelligence. https://doi.org/10.1007/978-3-030-76508-8_17Panda, S., & Mishra, S. (2007). E‐Learning in a Mega Open University: Faculty attitude, barriers and motivators. Educational Media International, 44(4), 323-338. https://doi.org/10.1080/09523980701680854Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29(4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717Paul, J., Lim, W. M., O'Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR). International Journal of Consumer Studies. https://doi.org/10.1111/ijcs.12695Pham, L., Limbu, Y. B., Bui, T. K., Nguyen, H. T., & Pham, H. T. (2019). Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam. International Journal of Educational Technology in Higher Education, 16(1), 1-26. https://doi.org/10.1186/s41239-019-0136-3Popoola, S. O., & Olajide, O. (2021). Influence of Library Anxiety and Computer Literacy Skills on Use of Library Information Resources by Undergraduates in Private Universities in Southwest Nigeria. International Information Library Review, 1-19. https://doi.org/10.1080/10572317.2021.1873051Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers Education, 144, 103701. https://doi.org/10.1016/j.compedu.2019.103701Richardson, M., Abraham, C., & Bond, R. J. P. b. (2012). Psychological correlates of university students' academic performance: a systematic review and meta-analysis. 138(2), 353. http://doi.org/2012-04281-001Saeed Al-Maroof, R., Alhumaid, K., & Salloum, S. (2021). The continuous intention to use e-learning, from two different perspectives. Education Sciences, 11(1), 6. https://doi.org/10.3390/educsci11010006Sahibzada, U. F., Xu, Y., Afshan, G., & Khalid, R. (2021). Knowledge-oriented leadership towards organizational performance: symmetrical and asymmetrical approach. Business Process Management Journal. https://doi.org/10.1108/BPMJ-03-2021-0125Sánchez-Sordo, J. M. (2019). Data mining techniques for the study of online learning from an extended approach. Multidisciplinary Journal for Education, Social Technological Sciences, 6(1), 1-24. https://doi.org/10.4995/muse.2019.11482Sayaf, A. M., Alamri, M. M., Alqahtani, M. A., & Al-Rahmi, W. M. (2021). Information and Communications Technology Used in Higher Education: An Empirical Study on Digital Learning as Sustainability. Sustainability, 13(13), 7074. https://doi.org/10.3390/su13137074Singh, V., & Thurman, A. (2019). How many ways can we define online learning? A systematic literature review of definitions of online learning (1988-2018). American Journal of Distance Education, 33(4), 289-306. https://doi.org/10.1080/08923647.2019.1663082Tarhini, A., Hone, K., & Liu, X. (2014). Measuring the moderating effect of gender and age on e-learning acceptance in England: A structural equation modeling approach for an extended technology acceptance model. Journal of Educational Computing Research, 51(2), 163-184. https://doi.org/10.2190/EC.51.2.bWilliams, R. I., Clark, L. A., Clark, W. R., & Raffo, D. M. (2020). Re-examining systematic literature review in management research: Additional benefits and execution protocols. European Management Journal. https://doi.org/10.1016/j.emj.2020.09.007Wu, J.-H., Tennyson, R. D., & Hsia, T.-L. (2010). A study of student satisfaction in a blended e-learning system environment. Computers Education, 55(1), 155-164. https://doi.org/10.1016/j.compedu.2009.12.01

    Social distance through music in EFL students

    Full text link
    [EN] Music is constantly around us and, if in English, it fosters social distance in EFL students, consequently increasing the level of affinity with the language, however, can social distance help with other personal aspects? Music lyrics provide different perspectives that can become enriching on an academic level, as music brings cultural aspects of the country of origin and directly affects emotions, therefore song lyrics may become a very powerful instrument when combining social distance and the level of English of students in order to improve academic and future professional performance, among others.The aim of this study was to measure the impact of social distance on the improvement of academic performance, emotional states and future prospects in EFL students. In order to measure those variables, a questionnaire, based on the Likert scale, conducted amongst 82 students from different educational centres. Resulting data analysed with the use of the structural equation modeling (SEM-PLS) revealed the relevance of social distance through music in order to improve learning processes, to feel emotions and to consolidate hopes for future prospects.Sánchez González, MG. (2021). Social distance through music in EFL students. Multidisciplinary Journal for Education, Social and Technological Sciences. 8(2):42-59. https://doi.org/10.4995/muse.2021.15014OJS425982Abbot, M. (2002). Using music to promote L2 learning among adult learners. Tesol journal, 11(1).Alcaraz Varó, E. (2000). El inglés profesional y académico. Alianza Editorial.Aragão, R. (2011). Beliefs and emotions in foreign language learning. Fuel and Energy Abstracts,39(3), 302-313. https://doi.org/10.1016/j.system.2011.07.003Bogt, T., Mulder, J., Raaijmakers, Q.A.W., & Gabhainn, S.N. (2011). Moved by music: A typology of music listeners. Psychology of Music, 39(2), pp. 147-163. https://doi.org/10.1177/0305735610370223Chin, W.W. (1998). The Partial Least Squares Approach to Structural Equation Modeling, In Modern Methods for Business Research, Marcoulides GA [ed]. Lawrence Erlbaum Associates: Mahwah N. J., 295-336.Cooper, D.R., & Schindler, P.S. (2006). Business Research Methods (9th edition). McGraw-Hill.Creswell, J.W., & Clark, V.L.P. (2017). Designing and conducting mixed methods research. Sage Publications.Do, S.L., & Schallert, D.L. (2004). Emotions and classroom talk: Toward a model of the role of affect in students' experiences of classroom ciscussions. Journal of Educational Psychology, 96(4), pp. 619-634. https://doi.org/10.1037/0022-0663.96.4.619Fedorenko, E. (2014). The role of domain-general cognitive control in language comprehension. Frontiers in Psychology, 5, p. 335. https://doi.org/10.3389/fpsyg.2014.00335Flowerdew, J., & Peacock, M. (2001). Research perspectives on English for academic purposes. Cambridge University Press. https://doi.org/10.1017/CBO9781139524766Fonseca-Mora, M.C. (2000). Foreign language acquisition and melody singing. Elt Journal, 54(2), 146-152. https://doi.org/10.1093/elt/54.2.146Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312Fuller, A. (2015). Vocational education. International encyclopedia of the social & behavioral sciences (2nd Ed), 232-238. Elsevier. https://doi.org/10.1016/B978-0-08-097086-8.92091-9Gardner, R.C., & Lambert, W.E. (1972). Attitudes and motivation in second language learning. Newbury House Publishers.González Davies, M., & Celaya Villanueva, M.L. (1992). New teachers in a new education system: A Guide book for the Reforma. PPU.Graddol, D. (1997). The future of English? British Council.Henseler, J., Ringle, C.M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8Izard, C.E. (2002). Translating emotion theory and research into preventive interventions. Psychological Bulletin, 128(5), 796-824. https://doi.org/10.1037/0033-2909.128.5.796Kachru, B.B., & Nelson, C.L. (2001). World Englishes. In A. Burns & C. Coffin (Eds.). Analysing English in a global context, 9-25. Routledge.Krashen, S.D. (2003). Explorations in language acquisition and use. Heinemann.Levitin, D.J. (2006). This is your brain on music: The science of a human obsession. Dutton/Penguin Books.Macdonald, R., Kreutz, G., & Mitchell, L. (2012). What is music, health, and wellbeing and why is it important? Music, health, and wellbeing. Oxford Scholarship online. https://doi.org/10.1093/acprof:oso/9780199586974.003.0001McLean, A.C. (1980). Destroying the teacher: the need for a learner-centred teaching. E.T.Forum, 28:3, 16-19.Ménard, M., Richard, P., Hamdi, H., Daucé, B., & Yamaguchi, T. (2015). Emotion recognition based on heart rate and skin conductance. In Proceedings of the 2nd international conference on physiological computing systems, vol. 1: PhyCS, 26-32. https://doi.org/10.5220/0005241100260032Nicolás, G., & Azorín, C. (2013). Música y valores. Una relación educativa ineludible. Música y educación: Revista trimestral de pedagogía musical, ISSN 0214-4786, Año nº 26, Nº 93, 16-25.Niittylahti, S., Annala, J., & Mäkinen, M. (2019). Student engagement at the beginning of vocational studies. Nordic journal of vocational education and training, Vol.9, n.1, 21-42. https://doi.org/10.3384/njvet.2242-458X.199121North, A.C., & Hargreaves, D.J. (1997). Music and consumer behaviour. In D.J. Hargreaves & A.C. North (Eds.), The social psychology of music, 268-289. Oxford University Press.Pekrun, R., & Perry, R.P. (2014). Control-value theory of achievement emotions. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education, 120-141. Routledge/Taylor & Francis Group. https://doi.org/10.4324/9780203148211Punset, E. (2012). Una Mochila para el universo. Ediciones Destino.Richards, J.C., Platt, J., & Platt, H. (1992). Dictionary of language teaching and applied linguistics. Longman.Ringle, C.M., Wende, S., & Becker, J.M. (2015). SmartPLS 3. SmartPLS GmbH, Boenningstedt. http://www.smartpls.comSam, D.L, & Berry, J.W. (2010). Acculturation: When individuals and groups of different cultural backgrounds meet. Perspectives on Psychological Science, 5(4), 472-481. https://doi.org/10.1177/1745691610373075Sánchez González, M.G. (2020). Adolescents and values portrayed in music nowadays. Multidisciplinary Journal for Education Social and Technological Sciences, v. 7, 2, 45-60. https://doi.org/10.4995/muse.2020.14001Schumann, J. (1994). Where is cognition? Emotion and cognition in second language acquisition. In Studies in Second Language Acquisition, vol. 16, Issue 2, 231-242. Cambridge University Press. https://doi.org/10.1017/S0272263100012894Shoaib, A., & Dörnyei, Z. (2004). Affect in lifelong learning: Exploring L2 motivation as a dynamic process. In P. Benson, & D. Nunan (Eds.), Learners' stories, 23-41. Cambridge University Press.Sloboda, J.A., & Juslin, P.N. (2001). Handbook of music and emotion: Theory, research, applications, 605-642. Oxford University Press.Tarrant, M, North A.C., & Hargreaves, D.J. (2000). English and American adolescents' reasons for listening to music. Psychology of Music, 28(2), 166-173. https://doi.org/10.1177/030573560028200

    ELABORATING A MULTI-ITEMS SCALE TO EVALUATE THE DECISIVE FACTORS FOR THE USE OF TECHNOLOGICAL INNOVATION IN DISTANCE EDUCATION

    Get PDF
    O objetivo deste estudo é testar estatisticamente a adequação de um modelo de escala multiitens com intuito de avaliar os fatores que determinam o uso de inovação tecnológica na Educação a Distância, na percepção dos docentes dos cursos de Administração e Ciências Contábeis. Para alcançar o objetivo deste estudo, verificaram-se, por meio de uma pesquisa na literatura, os atributos que influenciam no uso de inovação tecnológica, identificaram-se os construtos propostos por Rogers (1983) e posteriormente ampliados por Moore e Benbasat (1991), fundamentados pela Teoria da Difusão de Inovação (TDI). A amostra do estudo corresponde a 436 docentes atuantes em cursos na modalidade à distância na área de negócios. Os construtos testados são: a vantagem relativa, a compatibilidade, a facilidade de uso, a experimentação, a imagem, a demonstração de resultado, a visibilidade, o voluntarismo e o uso da inovação tecnológica (determinado, neste estudo, o Ambiente Virtual de Aprendizagem (AVA)). O teste estatístico utilizado para a validação dos construtos foi a Análise Fatorial Confirmatória (AFC). Após a purificação do modelo, os resultados apontaram que os índices de ajustes do modelo foram adequados, os resultados comprovaram a validade convergente e discriminante, e todos os construtos evidenciaram consistência e confiabilidade. Assim, o modelo de medição tornou-se apropriado, ou seja, os itens medem adequadamente os construtos propostos para avaliar os fatores que determinam o uso de inovação tecnológica na Educação a Distância.This study aims at testing statistically the suitability of a multi-items scale model in order to evaluate the factors that establish the use of technological innovation in Distance Education to the point of view of Business and Accounting professors. To achieve this study’s goal, thought literature research, it was checked the attributes that affects the use of technologic innovation, it also was identified the constructs proposed by Rogers (1983) and later extended by Moore and Benbasat (1991) based on the Theory of Diffusion and Innovation (TDI).  The study’s sample is of 436 professors of distance learning business courses.  The constructs tested are: relative advantage, compatibility, ease of use, experimentation, image, income statement, visibility, volunteering and the use of technological innovation (established, in this study, by the Virtual Learning Environment (VLE)).  Statistic test used to valid the constructs was the Confirmatory Factor Analysis (CFA).  After purification of the model, the results showed that rates of adjustments of the model were suitable, the results confirmed the convergent and discriminative validity, and all constructs showed consistency and reliability. Thus, the measurement model has become appropriate, ie, the items measure properly the constructs proposed to evaluate the factors that determine the use of technological innovation in Distance Education

    ELABORATING A MULTI-ITEMS SCALE TO EVALUATE THE DECISIVE FACTORS FOR THE USE OF TECHNOLOGICAL INNOVATION IN DISTANCE EDUCATION

    Get PDF
    O objetivo deste estudo é testar estatisticamente a adequação de um modelo de escala multiitens com intuito de avaliar os fatores que determinam o uso de inovação tecnológica na Educação a Distância, na percepção dos docentes dos cursos de Administração e Ciências Contábeis. Para alcançar o objetivo deste estudo, verificaram-se, por meio de uma pesquisa na literatura, os atributos que influenciam no uso de inovação tecnológica, identificaram-se os construtos propostos por Rogers (1983) e posteriormente ampliados por Moore e Benbasat (1991), fundamentados pela Teoria da Difusão de Inovação (TDI). A amostra do estudo corresponde a 436 docentes atuantes em cursos na modalidade à distância na área de negócios. Os construtos testados são: a vantagem relativa, a compatibilidade, a facilidade de uso, a experimentação, a imagem, a demonstração de resultado, a visibilidade, o voluntarismo e o uso da inovação tecnológica (determinado, neste estudo, o Ambiente Virtual de Aprendizagem (AVA)). O teste estatístico utilizado para a validação dos construtos foi a Análise Fatorial Confirmatória (AFC). Após a purificação do modelo, os resultados apontaram que os índices de ajustes do modelo foram adequados, os resultados comprovaram a validade convergente e discriminante, e todos os construtos evidenciaram consistência e confiabilidade. Assim, o modelo de medição tornou-se apropriado, ou seja, os itens medem adequadamente os construtos propostos para avaliar os fatores que determinam o uso de inovação tecnológica na Educação a Distância.This study aims at testing statistically the suitability of a multi-items scale model in order to evaluate the factors that establish the use of technological innovation in Distance Education to the point of view of Business and Accounting professors. To achieve this study’s goal, thought literature research, it was checked the attributes that affects the use of technologic innovation, it also was identified the constructs proposed by Rogers (1983) and later extended by Moore and Benbasat (1991) based on the Theory of Diffusion and Innovation (TDI).  The study’s sample is of 436 professors of distance learning business courses.  The constructs tested are: relative advantage, compatibility, ease of use, experimentation, image, income statement, visibility, volunteering and the use of technological innovation (established, in this study, by the Virtual Learning Environment (VLE)).  Statistic test used to valid the constructs was the Confirmatory Factor Analysis (CFA).  After purification of the model, the results showed that rates of adjustments of the model were suitable, the results confirmed the convergent and discriminative validity, and all constructs showed consistency and reliability. Thus, the measurement model has become appropriate, ie, the items measure properly the constructs proposed to evaluate the factors that determine the use of technological innovation in Distance Education

    Strategies to improve retention of postgraduate business students in distance education courses: an Australian case

    Get PDF
    In spite of the clear value of postgraduate business students to many providers of distance education courses, the factors affecting the retention of these students have received limited attention in the literature. In addressing this gap, this paper presents the findings of a qualitative study into the factors affecting the retention of postgraduate business students at a major Australian distance education university. The findings of this study suggest that a range of situational, dispositional and attitudinal factors impact upon student retention on this context, both as enablers of and obstacles to ongoing participation. In many cases, these factors differ to those identified in the existing literature on student retention. Based on these findings, we present a range of strategies designed to improve the retention of postgraduate business students by maximising enabling factors and minimising the impact of any identified obstacles. Limitations of the study and suggestions for further research are also presented
    corecore