Goal-oriented student motivation in learning analytics: How can a requirements-driven approach help?

Autor: Omar Talbi, Abdelkader Ouared
Rok vydání: 2022
Předmět:
Zdroj: Education and Information Technologies. 27:12083-12121
ISSN: 1573-7608
1360-2357
Popis: Determining student motivation within the context of Learning Analytics is fundamental for academic students to realize their educational goals. We aim to perceive the student's motivation state at a high level of abstraction and act accordingly to deal with motivation issues. We investigate how Model-Driven Engineering paradigms capture the essence of a motivation domain and provide deep automation in stimulating students' tasks. In this paper, first, we propose a Conceptual Modeling Approach that provides a unified environment in which all dimensions of students' motivation are explicitly defined. Secondly, a guideline, allows educational stakeholders to perceive the states of change in students' motivation. Third, the issue of student motivation is addressed by making a mechanism that stimulates students. Finally, to stress our approach and to prove how it is useful, we present a global usage scenario for our system called
Databáze: OpenAIRE
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