4 research outputs found
A Framework of Exercise Recommendation for Novice Learners in Computer Programming
To support novice learners majoring in Information Technology, this paper proposed an ontology-based framework to recommend exercise to learners in response to their understanding levels. This framework involves three essential mechanisms: (1) determination of the level of exercise, (2) evaluation of learner's understanding, and (3) recommendation of exercise. The prototype system will be implemented to enable the instructors to add or edit exercises based on 60 questions with solutions covering 20 topics of introductory programming which are initially determined by this research
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Personalized education, tailored to individual student needs, leverages
educational technology and artificial intelligence (AI) in the digital age to
enhance learning effectiveness. The integration of AI in educational platforms
provides insights into academic performance, learning preferences, and
behaviors, optimizing the personal learning process. Driven by data mining
techniques, it not only benefits students but also provides educators and
institutions with tools to craft customized learning experiences. To offer a
comprehensive review of recent advancements in personalized educational data
mining, this paper focuses on four primary scenarios: educational
recommendation, cognitive diagnosis, knowledge tracing, and learning analysis.
This paper presents a structured taxonomy for each area, compiles commonly used
datasets, and identifies future research directions, emphasizing the role of
data mining in enhancing personalized education and paving the way for future
exploration and innovation.Comment: 25 pages, 5 figure