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Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
Liang, Wei Jhen; Lim, Fei Victor – Innovation in Language Learning and Teaching, 2021
With the increasing recognition in the importance of multiliteracies, this study argues for the need to develop a pedagogical framework to teach and support students' digital multimodal composing practices, such as video production, in the classroom. The framework, informed by Systemic Functional Theory and Design Thinking, organises the knowledge…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, English (Second Language)