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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
Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation
Karnalim, Oscar; Budi, Setia; Toba, Hapnes; Joy, Mike – Informatics in Education, 2019
Source code plagiarism is an emerging issue in computer science education. As a result, a number of techniques have been proposed to handle this issue. However, comparing these techniques may be challenging, since they are evaluated with their own private dataset(s). This paper contributes in providing a public dataset for comparing these…
Descriptors: Plagiarism, Computer Science Education, Comparative Analysis, Problem Solving
Saucerman, Jenny; Ruis, A. R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Learning to solve "complex problems"--problems whose solutions require the application of more than basic facts and skills--is critical to meaningful participation in the economic, social, and cultural life of the digital age. In this paper, we use a theoretical understanding of how professionals use reflection-in-action to solve complex…
Descriptors: Reflection, Problem Solving, Automation, Skill Development
Blackmon, Stephanie – International Review of Research in Open and Distributed Learning, 2015
Online environments, particularly virtual worlds, can sometimes complicate issues of self expression. For example, the faculty member who loves punk rock has an opportunity, through hairstyle and attire choices in the virtual world, to share that part of herself with students. However, deciding to share that part of the self can depend on a number…
Descriptors: Online Courses, Computer Simulation, Simulated Environment, Teacher Attitudes
McMillan, Stephanie Renee – ProQuest LLC, 2012
This study explored undergraduate teaching faculty's perceptions regarding using biometric-based technologies to reduce academic dishonesty in online classes. The first objective was to develop a baseline of the respondents' concerns toward and experience with using biometrics; attitudes, experience, and mitigation strategies used to…
Descriptors: College Faculty, Undergraduate Students, Teacher Attitudes, Educational Technology