Disrupting the Rote Learning Loop: CS Majors Iterating Over Learning Modules with an Adaptive Educational Hypermedia
The rote learning problem has plagued the education systems of developing world since long. To name a few, improperly designed assessments, teachers’ authority, rewarding verbatim answers, sheer class sizes, and individual learner differences are amongst the most notable mediators. The authors report on the design and development of an adaptive educational hypermedia, which disrupts the rote learning loop by hitting a few of the aforementioned reasons. The reported system provides a personalized learning experience to each learner, adapting on the basis of cognitive and learning styles. Further, the assessments are designed in a way that they loop each failed learning via variated paths, hence eliminating chances of rote learning. Moreover, the failed perturbations are traced back to the problematic domain segment for further knowledge acquisition. In-situ evaluations of the system with end-users (real students of Bachelor of Science in Computer Science) reveal a difference between control and experimental groups. The effect size is however moderate.
KeywordsRote learning Adaptive educational hypermedia AEH Contextualization Adaptor-innovator model Cognitive styles Learning styles ESL
We would like to acknowledge the support and guidance of Prof. Ashraf Iqbal, Dean Faculty of IT, University of Central Punjab, Pakistan. We are also grateful to The Punjab Group, Pakistan, for funding this research.
- 4.Mokhtar, A.A., Rawian, R.M., Yahaya, M.F., Abdullah, A., Mohamed, A.R.: Vocabulary learning strategies of adult ESL learners. Engl. Teach. 36, 133–145 (2017)Google Scholar
- 7.Hacieminoglu, E.: Elementary school students’ attitude toward science and related variables. Int. J. Environ. Sci. Educ. 11(2), 35–52 (2016)Google Scholar
- 9.Sonawat, R., Kothari, M.: Rote learning and meaningful learning in mathematics: perspectives of primary school teachers and learning in children. Indian J. Posit. Psychol. 4(1), 49–54 (2013)Google Scholar
- 10.Safdar, M.: Meaningful learning and rote learning in physics: a comparative study in city Jhelum (Pakistan). Middle Eastern Afr. J. Educ. Res. 6, 60–77 (2013)Google Scholar
- 14.Rum, S.N.M., Ismail, M.A.: Metacognitive support accelerates computer assisted learning for novice programmers. Educ. Technol. Soc. 20(3), 170–181 (2017)Google Scholar
- 16.Hassan, M.M., Qureshi, A.N.: Situating adaptive educational hypermedia into the local context of developing nations. In: Proceedings of the 2017 2nd International Conference on Communication and Information Systems (ICCIS 2017), Wuhan, China (2017)Google Scholar
- 17.Fleming, N.D., Mills, C.: Not another inventory, rather a catalyst for reflection. To Improve the Academy, Paper 246. DigitalCommons@University of Nebraska, Lincoln (1992)Google Scholar
- 18.Saga, Z., Qamar, K., Trali, G.: Learning styles-understanding for learning strategies. Pak. Armed Forces Med. J. 65(5), 706–709 (2015)Google Scholar
- 20.Popham, W.J.: Why standardized tests don’t measure educational quality. Educ. Leadersh. 56(6), 8–15 (1999)Google Scholar
- 21.Lix, L.M., Keselman, J.C., Keselman, H.J.: Consequences of assumption violations revisited: a quantitative review of alternatives to the one-way analysis of variance “F” Test. Rev. Educ. Res. 66(4), 579–619 (1996)Google Scholar