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Shabrina, Preya; Mostafavi, Behrooz; Tithi, Sutapa Dey; Chi, Min; Barnes, Tiffany – International Educational Data Mining Society, 2023
Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Graphs, Data Analysis
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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
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Xu, Jia; Wei, Tingting; Lv, Pin – International Educational Data Mining Society, 2022
In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…
Descriptors: Prediction, Programming, Natural Language Processing, Databases
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Ragazou, Vasiliki; Karasavvidis, Ilias – International Association for Development of the Information Society, 2021
Video tutorials substantially support demonstration-based training where the main goal is to enhance procedural knowledge by observing various understandable examples of performing a task. Although video tutorials are broadly popular nowadays, little attention is given to the design features of an instructional tutorial. The aim of this study is…
Descriptors: Instructional Design, Video Technology, Educational Technology, Cues
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Taniguchi, Tadanari; Maruyama, Yukiko; Kurita, Daisaku; Tanaka, Makoto – International Association for Development of the Information Society, 2018
We propose developing a method to set key educational skills which students need to achieve for each class using a student self-assessment questionnaire in analytical approach. It is difficult to set key academic skills for class since there are little systematic methods to set them. The questionnaire survey with 25 educational skills was…
Descriptors: Student Attitudes, Computer Science Education, Self Evaluation (Individuals), Information Technology
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Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
Djambong, Takam; Freiman, Viktor – International Association for Development of the Information Society, 2016
While today's schools in several countries, like Canada, are about to bring back programming to their curricula, a new conceptual angle, namely one of computational thinking, draws attention of researchers. In order to understand the articulation between computational thinking tasks in one side, student's targeted skills, and the types of problems…
Descriptors: Foreign Countries, Computer Science Education, Programming, Computation
Yoshida, Kin'ei – 1998
A bilingual (Japanese/English) electronic mail survey of over 1,100 computer science students at the University of Aizu elicited recommendations for content and design of a curriculum in English for Special Purposes (ESP). Features students preferred included these: a four-skills introductory course during the first year; materials encouraging…
Descriptors: Class Size, Computer Science, Course Content, Curriculum Design