Development of an integrated connectedness model to evaluate the effectiveness of teaching and learning.

Al-Hamad, Salah; Kollar, Laszlo E.; Asim, Taimoor; Mishra, Rakesh

Abstract

Use of blended learning system in a structured manner results in achieving higher order skills in cognitive domain. However, there is a need to quantify skills improvements as the students go through lower level skills to higher level skills. To ascertain this progression, it is necessary to develop a mathematical model of learning which can indicate the effectiveness of teaching and learning methods on skills improvement. In this study, mathematical learning model has been developed, which predicts the students’ knowledge, depending on the amount of instruction they receive. It is expected that this model will enable development of direct correlation between teaching and learning methods, and the skills level attained by the students. The model is applied for different categories of learning. Parameters in the model are determined after least-square fitting has been applied on observed student learning data.

Citation

AL-HAMAD, S., KOLLAR, L.E., ASIM, T. and MISHRA, R. 2016. Development of an integrated connectedness model to evaluate the effectiveness of teaching and learning. In Dwivedi, Y.K., Mäntymäki, M., Ravishankar, M.N., Janssen, M., Clement, M., Slade, E.L., Rana, N.P., Al-Sharhan, S. and Simintiras, A.C. (eds.) Social media: the good, the bad and the ugly: proceedings of the 15th International Federation of Information Processing (IFIP) e-Business, e-services and e-society conference (I3E 2016), 13-15 September, 2016, Swansea, UK. Lecture notes in computer science, 9844. Cham: Springer [online], pages 707-716. Available from: https://doi.org/10.1007/978-3-319-45234-0_64

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 15th International Federation of Information Processing (IFIP) e-Business, e-services and e-society conference (I3E 2016)
• Start Date: Sep 13, 2016
• End Date: Sep 15, 2016
• Acceptance Date: Apr 30, 2016
• Online Publication Date: Aug 23, 2016
• Publication Date: Sep 30, 2016
• Deposit Date: Oct 5, 2020
• Publicly Available Date: Oct 5, 2020
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 707-716
• Series Title: Lecture notes in computer science
• Series Number: 9844
• Series ISSN: 0302-9743
• Book Title: Social media: the good, the bad and the ugly: proceedings of the 15th International Federation of Information Processing (IFIP) e-Business, e-services and e-society conference (I3E 2016), 13-15 September, 2016, Swansea, UK
• ISBN: 9783319452333
• DOI: https://doi.org/10.1007/978-3-319-45234-0_64
• Keywords: Knowledge domain; Cognitive learning; Sticking coefficient; Initial knowledge; Learning domain
• Public URL: https://rgu-repository.worktribe.com/output/872663