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Using a Hybrid Approach of Game Design, Blockchain Technology and Learning Analytics in Higher Education Institutions: A Case Study of the British University in Dubai

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Information Systems (EMCIS 2021)

Abstract

The Learning Management System (LMS) tries to resolve the multiple challenges that occur due to limits of time, location, and frequency of teacher-student interactions. As a tool in the e- learning process, the LMS provides several benefits that can help overcome problems that often occur during the learning process.

However, the current deployment of LMS as a learning medium still has its limitations such as low engagement and motivation, secure documents, certification, and exam verification to replace a cumbersome manual process, and ultimately personalization of features that relevant to students’ requirements. Recently, some new technologies developed as recent trends to tackle the various difficulties and challenges relevant to these issues and obstacles. In this sense, the Gamification design boosted users’ interaction and engagement with the online system by adding a new game concept. Similarly, blockchain technology improves the security of online document exchange, verification, and storage. Ultimately, learning analytics demonstrated to allow the personalization of online platforms based on interactions and data logs. In this work, we studied how combining these strategies might boost the LMS performance and tackle existing issues and problems.

To do that, we employed a design science methodology as a rigor innovation strategy in digital innovation. The results reveal encouraging results of the new systems (LMSD) implementation in Dubai’s British university.

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Correspondence to Khaled Al Shehhi .

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Al Shehhi, K., Almarri, K. (2022). Using a Hybrid Approach of Game Design, Blockchain Technology and Learning Analytics in Higher Education Institutions: A Case Study of the British University in Dubai. In: Themistocleous, M., Papadaki, M. (eds) Information Systems. EMCIS 2021. Lecture Notes in Business Information Processing, vol 437. Springer, Cham. https://doi.org/10.1007/978-3-030-95947-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-95947-0_13

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