113,914 research outputs found

    From participation to dropout

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    The academic e-learning practice has to deal with various participation patterns and types of online learners with different support needs. The online instructors are challenged to recognize these and react accordingly. Among the participation patterns, special attention is requested by dropouts, which can perturbate online collaboration. Therefore we are in search of a method of early identification of participation patterns and prediction of dropouts. To do this, we use a quantitative view of participation that takes into account only observable variables. On this background we identify in a field study the participation indicators that are relevant for the course completion, i.e. produce significant differences between the completion and dropout sub-groups. Further we identify through cluster analysis four participation patterns with different support needs. One of them is the dropout cluster that could be predicted with an accuracy of nearly 80%. As a practical consequence, this study recommends a simple, easy-to-implement prediction method for dropouts, which can improve online teaching. As a theoretical consequence, we underline the role of the course didactics for the definition of participation, and call for refining previous attrition models

    Social media in collaborative learning in higher education : a qualitative case study of teachers’ and students’ views

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    In this study, it was investigated how social media are used in collaborative learning in higher education and also how it can be better used in teaching and learning according to the students and teachers. The research questions of this study were: 1) How social media are used in collaborative learning by the teachers and students in higher education for educational purposes? 2) How could social media be used in collaborative learning process in higher education, according to the students and teachers? Qualitative interviews were conducted to collect the data from ten students and five teachers from the different faculties of University of Lapland and Lapland University of Applied Sciences. In conclusion it was found that, social media were not much used in collaboration with teachers by the students of both institutions. In case of teachers, it was found that all of them were using social media in their collaborative ways of teaching design and they have found social media as useful tool to deliver their teaching. Most of the students and all the teachers found social media to be useful in their teaching and learning. But there were also some challenges faced and areas of improvements identified by them. Thus the higher educational institutions should understand the importance of using social media in teaching and learning and take initiatives to overcome the current challenges identified by the students and teachers

    Factors affecting e-Learning effectiveness in a higher learning institution in Malaysia

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    The purpose of this research was to investigate factors that influence the effectiveness of the e-learning system in a higher learning institution. The participants were students randomly selected from diploma and degree programs. The main instrument was a questionnaire that was distributed to the students. The researchers collected 205 completed questionnaires out of a total of 300. Four factors were chosen as independent variables namely: reaction and satisfaction,learning outcome and achievement, familiarity with online learning technology, and participation and interaction. It was found that the effectiveness of the e-learning system was significantly affected by reaction and satisfaction, learning outcome and achievement, and familiarity with online learning technology. The participation and interaction factor had no apparent effect on the effectiveness of the e-learning system. Therefore, it is recommended that higher learning institutions interested in introducing e-learning should focus on students’ reaction and satisfaction towards the system.E-learning should focus on learning outcomes and achievement. It is also recommended that institutions first look into the issue of familiarity with online learning technology among students before introducing the e-learning system so as to determine whether students are comfortable with the online learning tools

    Student Engagement in a Team-Based Capstone Course: A Comparison of What Students Do and What Instructors Value

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    Student engagement is an important consideration across all levels of education. The adoption of student-centered teaching methods is an effective way to increase student engagement. Student engagement is at risk when instructor expectations and student participation in purposeful engagement activities are not aligned. Traditionally, student engagement is measured at the institutional level, which proves less than useful to instructors who wish to gauge engagement in specific courses in higher education. In this study, we sought to determine classroom level engagement in a capstone farm management course recently converted to the team-based learning format by comparing student perceptions regarding participation in engagement-specific activities with the instructors’ perceived importance of those same activities. The Classroom-Level Survey of Student Engagement (CLASSE) was utilized to collect student participation and instructor importance data. Data were examined utilizing a 2x2 quadrant analysis. Congruence between student participation frequency and instructor importance was found between 73.7% of the educational activities, while discrepancies were found on 26.3% of educational activities. Overall, students who completed the team-based learning-structured farm management course were physically and psychologically engaged in the learning environment. It is recommended that team-based learning be implemented in other courses within agricultural education to examine its utility in other contexts

    Understanding Communication Patterns in MOOCs: Combining Data Mining and qualitative methods

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    Massive Open Online Courses (MOOCs) offer unprecedented opportunities to learn at scale. Within a few years, the phenomenon of crowd-based learning has gained enormous popularity with millions of learners across the globe participating in courses ranging from Popular Music to Astrophysics. They have captured the imaginations of many, attracting significant media attention - with The New York Times naming 2012 "The Year of the MOOC." For those engaged in learning analytics and educational data mining, MOOCs have provided an exciting opportunity to develop innovative methodologies that harness big data in education.Comment: Preprint of a chapter to appear in "Data Mining and Learning Analytics: Applications in Educational Research

    Review of research and evaluation on improving adult literacy and numeracy skills

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    The purposes of this literature review are threefold. First, this review summarises findings of the research from the last decade in six fields identified by the Department for Business, Innovation and Skills (BIS) as critical to its forward planning: (1) the economic, personal and social returns to learning; (2) the quality and effectiveness of provision; (3) the number of learning hours needed for skills gain; (4) learner persistence; (5) the retention and loss of skills over time; (6) the literacy and numeracy skills that are needed. Second, this review assesses this evidence base in terms of its quality and robustness, identifying gaps and recommending ways in which the evidence base can be extended and improved. Thirdly, this review attempts to interpret the evidence base to suggest, where possible, how returns to ALN learning for individuals, employers and wider society might be increased through effective and cost-effective interventions

    Engagement with virtual learning environments : a case study across faculties

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    Original article can be found at: www.herts.ac.uk/blip Copyright University of HertfordshireThe Virtual Learning Environment (VLE) at the University of Hertfordshire (UH) not only supports institutional and national strategies in learning and teaching, but represents a significant investment in capital. Studies show that VLEs offer a variety of pedagogical benefits and usage of such systems can be effectively measured through the analysis of a system’s log files. However, although the increase in engagement with the VLE at UH as a whole has been considerable over recent years, there appears to be a wide variation in engagement across faculties, suggesting that tutors of some faculties could benefit from increased support to improve engagement. For example, during each of the academic years under study, the range of student engagement between two particular faculties dif-fered by at least 290%. Having identified faculties that show consistently low VLE engage-ment, we need to ask why this is, and ask whether there needs to be further investigation into the reasons behind this disparity.Peer reviewe

    Applying the interaction equivalency theorem to online courses in a large organization

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    Finding effective ways of designing online courses is a priority for corporate organizations. The interaction equivalency theorem states that meaningful learning can be achieved as long as courses are designed with at least a high level of one of three types of interactions (learner-content, learner-teacher or learner-learner). This study aimed to establish whether the interaction equivalency theorem applies to online learning in the corporate sector. The research was conducted in a large Mexican commercial organization, and involved 147 learners (sales supervisors), 30 teachers (sales managers and directors) and 3 academic assistants (course designers, or Education support staff). Three courses of an existing Leadership Program (Situational Leadership, Empowering Beliefs and Effective Performance) were redesigned and developed to test three course designs, each emphasizing a different type of interaction (learner-content, learner-teacher or learner-learner). Data were collected through surveys (for diagnostic and evaluation purposes) and exams. All courses yielded high levels of effectiveness, in terms of satisfaction, learning, perceived readiness for knowledge transfer and return on expectations. This suggests that the interaction equivalency theorem not only applies in a business setting but might also include other indicators of course effectiveness, such as satisfaction, learning transfer and return on expectations. Further research is needed to explore the possible expansion of the theorem
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