Enabled: Educational Network Amplifying Learning Experience (EnAbled)

Bolotov, A., Pierantoni, G., Wisudha, A., Abduraimova, Z. and Chan You Fee, D. 2018. Enabled: Educational Network Amplifying Learning Experience (EnAbled).

TitleEnabled: Educational Network Amplifying Learning Experience (EnAbled)
AuthorsBolotov, A., Pierantoni, G., Wisudha, A., Abduraimova, Z. and Chan You Fee, D.
TypeTechnical report
Abstract

In modern days, students are faced with a plethora of different options in their learning journey during the University years. From the classical approach of at-tending lectures and tutorials to learning from online videos or participating in the many fora and tutorials that are freely available online; there are so many possible paths and approaches that it is becoming difficult for students to make an in-formed and optimal choice among available resources. To help students to make optimal choices among all these options, we have conducted a research project “Enabled: Educational Network Amplifying Learning Experience” (EnAbled). In this paper, we present and discuss the results of this project. The project aims at “mapping” these choices to personal preferences and individual learning styles. We define students’ individual learning profiles based on the Lumina Psychological Traits of Behavioral Preferences. We argue that this approach will be beneficial not only to the students but also to the academics assisting them in the preparation and delivery of modules and providing them with more insight into what and how teaching is delivered. Alongside the theoretical investigation, the project aims at creating an “Academic Compass”, a digital platform that brings together students and lecturers. Students use the platform to navigate across the various learning op-tions guided by both their preferences and learning styles and previous learning experience whilst lecturers use the platform to model their modules encompassing the various options available at each learning stage. During the project, we collect data required to build students individual learning profiles and utilize them in the definition of a Use Case that models the revision sessions for a module: “Mathe-matics for Computing”.

KeywordseLearning, Psychological Profiles, Threshold Concepts, Strategies for Online Learning.
Year2018

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Dixon, C., Fisher, M. and Bolotov, A. 2002. Clausal resolution in a logic of rational agency. Artificial Intelligence: an international journal. 139 (1), pp. 47-89. doi:10.1016/S0004-3702(02)00196-0

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