D&S learning continuity matrix: A novel framework for visually monitoring learner progression in technology-mediated higher education

Authors

DOI:

https://doi.org/10.20448/jeelr.v13i3.8884

Keywords:

Cohort study, Experimental research, Learning continuity research, Learning continuity, Learning gain, Learner Matrix, D&S Scale.

Abstract

Learning continuity advocates the uninterrupted advancement of knowledge, enabling students to consistently build on their learning abilities in pursuit of their academic objectives. The research proposed the newly developed D&S Matrix and D&S Scale of Learning Continuity, along with their validation, as a groundbreaking effort to visually monitor learners' progress in higher education. Prospective cohort research, EFA, box-and-whisker plots, and data analytics were used in this study to monitor the cyclical development of students. Data were collected from Higher Educational Institutions across different parts of the globe. An experimental study was conducted to observe how a group of higher education students transferred from one cohort to another and to evaluate their learning gains. The findings demonstrate encouraging results in monitoring the incremental development of learners, both at the individual and group levels, across dimensions such as maturity, rote, traditional, and induced characteristics. Acquiring deep understanding, expertise, and lasting memory of scholarly material is a crucial component of research in the technology-mediated learning space. The advent of remote learning and disruptions to conventional classroom instruction necessitate preserving learning continuity to avert adverse effects on students' academic achievements. This will have a substantial influence on the future undertakings of educational policymakers.

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Published

2026-06-29

How to Cite

Chakraborty, S., Mukherjee, D., Jena, L. K., & Islam, M. (2026). D&S learning continuity matrix: A novel framework for visually monitoring learner progression in technology-mediated higher education. Journal of Education and E-Learning Research, 13(3), 22–37. https://doi.org/10.20448/jeelr.v13i3.8884