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Marwan, Samiha; Shi, Yang; Menezes, Ian; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2021
Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…
Descriptors: Expertise, Models, Feedback (Response), Identification
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Kermek, Dragutin; Novak, Matija – Informatics in Education, 2016
In programming courses there are various ways in which students attempt to cheat. The most commonly used method is copying source code from other students and making minimal changes in it, like renaming variable names. Several tools like Sherlock, JPlag and Moss have been devised to detect source code plagiarism. However, for larger student…
Descriptors: Plagiarism, Programming, Assignments, Cheating
Le, Nguyen-Thinh; Menzel, Wolfgang – International Journal of Artificial Intelligence in Education, 2009
In this paper, we introduce logic programming as a domain that exhibits some characteristics of being ill-defined. In order to diagnose student errors in such a domain, we need a means to hypothesise the student's intention, that is the strategy underlying her solution. This is achieved by weighting constraints, so that hypotheses about solution…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Programming, Models
Watkins, Charlette Ward – ProQuest LLC, 2009
Aspect-Oriented Software Development (AOSD) is a new approach that addresses limitations inherent in conventional programming, especially the principle of separation of concerns by emphasizing the encapsulation and modularization of crosscutting concerns through a new abstraction, the "aspect." Aspect-oriented programming is an emerging AOSD…
Descriptors: Check Lists, Programming Languages, Identification, Computer Software
Banks, Edward J. – ProQuest LLC, 2011
If it is true that bullying begins in elementary school and peaks in middle school, schools are obvious laboratories of research, undeniable arenas of investigation. With a reality of physical, social, and emotional undoing, and a result of serious short and long term repercussions, this phenomenon not only affects the social environments, but the…
Descriptors: Expertise, Prevention, Programming, Intervention
Lau, Wilfred W. F.; Yuen, Allan H. K. – Computers & Education, 2010
It has been advocated that pedagogical content knowledge as well as subject matter knowledge are important for improving classroom instructions. To develop pedagogical content knowledge, it is argued that understanding of students' mental representations of concepts is deemed necessary. Yet assessing and comparing mental model of each individual…
Descriptors: Identification, Mathematics Instruction, Pedagogical Content Knowledge, Cognitive Style
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers