Read
Employing Software Agents and Constructivism to make Massive Open Online Courses more student-oriented
Abstract
This paper aims at reviewing and applying constructivism, as a learning theory, in the design and development of automated technologies for Massive Open Online Courses in higher education. Although new in the field of online education, these courses hold the promise of ensuring many people get access to higher education. As it promises many advantages, its multiple challenges also lurk around. Applying the right learning theories would provide a platform that delivers a learning environment which is both automated (to account for the high number of users) and personalized. The methodology uses big data technologies and natural language processing skills to provide quality interaction between platform and student. A review of the types of MOOCs is done, and the challenges of delivery and assessment which limits its recognition as a standard means of education. Then, the use of software agents is explored to accommodate for the stream of big data generated by the high number of students. Learning theories and styles, which are relevant in the design of these courses, are also discussed. Finally, a model is proposed which employs software agents and constructivism (as a learning theory) to make massive open online courses more student-oriented.
Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.
Climate change Research Articles published between May 09, 2022 to May 15, 2022
Introduction: Climate change is a pervasive threat to global biodiversity and is expected to have profound effects on the resilience and abundance of ...
Read More