A Framework of E-learning System for Students' Engagement with Cognitive Tasks to Enhance Learning Performance

The use of integrating technology with learning has been a pivot that transformed the role of instructors and students; and makes it both technology-driven and learner-centric controlmediated. It has been a research-based issue in connecting technology and learning theories for effective learning performance. Learning should be a platform where students are actively engaged in a process to construct a realistic and meaningful knowledge suitable to solve an impressing and confronting societal problems for sustainable development. The approach to learning has been in diverse ways from the fundamental principles of learning theories and strategies. The emphasis of learning is in making it a platform where students can be attracted to it to study effectively, for easy retention and recall and able to apply the knowledge acquisition to futuristic similar real-world problems. Many researchers have worked along with this school of thought; all is to enhance study performance of students. Hence, the research paper develops a framework of e-learning system that engages students in active cognitive tasks to enhance their learning performance. General Terms E-learning Technology, Cognitive Information Processing

[1]  Chien-Yuan Su,et al.  Designing and implementing a personalized remedial learning system for enhancing the programming learning , 2013, J. Educ. Technol. Soc..

[2]  John B. Black,et al.  Using Touch-Based Input to Promote Student Math Learning in a Multimedia Learning Environment , 2013 .

[3]  Gianni Vercelli,et al.  Semantic wiki for learning and teaching computer science , 2013 .

[4]  Nigel Ford,et al.  Cognitive styles and virtual environments , 2000, J. Am. Soc. Inf. Sci..

[5]  Nick Zap,et al.  Assessments for Learning, of Learning, and as Learning in 3D Immersive Virtual Environments , 2013 .

[6]  Randy Elliot Bennett,et al.  Measuring Problem Solving with Technology: A Demonstration Study for NAEP. , 2010 .

[7]  B. Kayode,et al.  Design of a Neurofuzzy­based Model for Active and Collaborative Online Learning , 2013 .

[8]  Hsiu-Chen Chang,et al.  Learning Achievement in Solving Word-Based Mathematical Questions through a Computer-Assisted Learning System , 2012, J. Educ. Technol. Soc..

[9]  Ali Mustafa,et al.  An approach to Adaptive E-learning Hypermedia System based on Learning Styles (AEHS-LS): Implementation and evaluation , 2011 .

[10]  Raúl Santiago Campión,et al.  Web 2.0 and Higher Education: Its educational use in the University Environment , 2012 .

[11]  Paul Chandler,et al.  Considering Cognitive Load Theory Within E-Learning Environments , 2011, PACIS.

[12]  John Larson,et al.  Beyond e-learning : approaches and technologies to enhance organizational knowledge, learning, and performance , 2006 .

[13]  Gwo-Jen Hwang,et al.  Development of an Adaptive Learning System with Multiple Perspectives based on Students? Learning Styles and Cognitive Styles , 2013, J. Educ. Technol. Soc..

[14]  Margaret Honey,et al.  A manual of learning styles , 1986 .

[15]  Russell Walker,et al.  You Decide: A Novel Multimedia Format for Case Study Assignments in Online and Blended Learning Environments , 2013 .

[16]  R. Riding On the Nature of Cognitive Style , 1997 .

[17]  A. Garmpis,et al.  Design and Development of a Web-based Interactive Software Tool for Teaching Operating Systems , 2011 .