Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…

One of the challenges that commencing university students in computing degree programs face is the difficulty in engaging with the abstract and complicated theories in the computing discipline. In particular, it is hard for beginner computer architecture students to visualise the link between the theory of digital logic and the behaviour of the…

Content and Language Integrated Learning (CLIL) has emerged as a popular approach to language education in Europe and America in recent years. The main features of CLIL are learning foreign languages while gaining professional knowledge, enhancing student thinking, and improving the understanding of culture. However, CLIL has certain limitations,…

Scaffolding is crucial as transfer of learning does not occur naturally and teaching-learning strategies found to be effective for experts may not be suitably adopted as is for novice learners. Furthermore, opportunities are often "found" or "made." The quality of solutions, however, is mediated by different conceptualizations…

Articulation remains a significant problem in language education as in education in general. The particular concern is that articulation is targeted toward programs and not toward learners. Specific language teaching methods, and use of more-uniform teaching materials and testing have been used to cope with the problem. However, a broader…