A Study of Learning-by-Doing in MOOCs through the Integration of Third-Party External Tools:Comparison of Synchronous and Asynchronous Running Modes

Many MOOCs are being designed replicating traditional passive teaching approaches but using video lectures as the means of transmitting information. However, it is well known that learning-by-doing increases retention rates and, thus, allows achieving a more effective learning. To this end, it is worth exploring which tools fit best in the context of each MOOC to enrich learners' experience, including built-in tools already available in the MOOC platform, and third-party external tools which can be integrated in the MOOC platform. This paper presents an example of the integration of a software development tool, called Codeboard, in three MOOCs which serve as an introduction to programming with Java. We analyze the effect this tool has on learners' interaction and engagement when running the MOOCs in synchronous (instructor-paced) or asynchronous (self-paced) modes. Results show that the overall use of the tool is similar, regardless of the course running mode, although in the case of the synchronous mode the use of the tool is concentrated in a shorter period of time. Results also show that in the synchronous mode there is a higher percentage of accesses to the tool from registered learners (who can save their advances and continue the work later); this finding suggests that learners in the synchronous running mode are more engaged with the MOOC.The authors acknowledge the eMadrid Network, which is funded by the Madrid Regional Government (Comunidad de Madrid) with grant No. S2013/ICE-2715. This work also received partial support from the Spanish Ministry of Economy, Industry and Competitiveness, Project RESET (TIN2014-53199-C3-1-R), Project SYMBHYO-TIC (PTQ-15-07505), Project SIMLAP (RTC-2014-2811-1), Project SMARTLET (TIN2017-85179-C3-1-R), and from the European Commission through Erasmus+ projects MOOC-Maker (561533-EPP-1-2015-1-ESEPPKA2-CBHE-JP), SHEILA (562080-EPP-1-2015-1-BEEPPKA3-PI-FORWARD), COMPASS (2015-1-EL01-KA203-014033), and COMPETEN-SEA (574212-EPP-1-2016-1-NLEPPKA2-CBHE-JP)

Big data for monitoring educational systems

This report considers “how advances in big data are likely to transform the context and methodology of monitoring educational systems within a long-term perspective (10-30 years) and impact the evidence based policy development in the sector”, big data are “large amounts of different types of data produced with high velocity from a high number of various types of sources.” Five independent experts were commissioned by Ecorys, responding to themes of: students' privacy, educational equity and efficiency, student tracking, assessment and skills. The experts were asked to consider the “macro perspective on governance on educational systems at all levels from primary, secondary education and tertiary – the latter covering all aspects of tertiary from further, to higher, and to VET”, prioritising primary and secondary levels of education

MOOCs: Expectations and Reality

This comprehensive study of MOOCs from the perspective of institutions of higher education includes an investigation of definitions and characteristics of MOOCs, their origins, institutional goals for developing and delivering MOOCs, how MOOC data is being used, a review of MOOC resource requirements and costs, and a compilation of ideas from 83 interviewees about MOOCs and the future of higher education. We identify six major goals for MOOC initiatives and assess the evidence regarding whether these goals are being met, or are likely to be in the future

Student Perceptions of Meaningful Learning, Behaviors Towards Learning Experiences, and Academic Performance in Aeronautical Courses: A Quantitative Research Study

Current literature on the predictive correlation between a student’s perceived course value and their end-of-course results utilizing the Course Valuing Inventory (Nehari & Bender, 1978) has not been studied in aeronautics education. While research investigating various attributes of academic success exists, quantitative studies specifically addressing predictive variables of course success related to end-of-course grades in aeronautics education do not exist. Given the results of quantitative data, aeronautics academia can strategically implement specific variables into course planning and designing to create academic content that appeals to aeronautic students. The purpose of this quantitative, predictive correlational study is to examine the predictive correlational relationship between the predictor variables (course valuing, cognitive content, affective-personal, and behavioral factors) and the criterion variable (end-of-course grade) for undergraduate aeronautical degree-seeking students at a large, accredited, faith-based, non-profit, private university in the southeastern United States with a large student population. The convenience sample consisted of 137 undergraduate aeronautics students. Data were analyzed using multiple linear regression. The study results showed no significant connection between the predictor variables (course valuing, cognitive content, affective-personal, and behavioral factors) and the criterion variable (end-of-course grade)