Nowadays, learning management systems (LMSs) are established tools in higher education, especially in the domain of software engineering (SE). However, the potential of such educational technologies has not been fully exploited, as student performance in SE education is still strongly dependent on feedback from time-constrained lecturers and tutors. Moreover, current LMSs are not designed for SE courses, as external SE tools are required to fulfill the requirements of lecturers such as programming and UML modeling features. Evolving these LMSs in the direction of intelligent tutoring could assist students in receiving automatic, individual feedback from the LMSs on their learning performance at any time. Also, gamified learning elements can serve to motivate students to engage with SE materials. Therefore, this paper presents an approach combining learning analytics, feedback, and interactive learning such as gamification in one LMS designed for SE education. The system could thus address diverse students with different backgrounds and motivational aspects and provide appropriate individual support to ensure effective SE education.
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Niklas Meißner (2024) studied this question.
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