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Boxuan Ma; Li Chen; Shin’ichi Konomi – International Association for Development of the Information Society, 2024
Generative artificial intelligence (AI) tools like ChatGPT are becoming increasingly common in educational settings, especially in programming education. However, the impact of these tools on the learning process, student performance, and best practices for their integration remains underexplored. This study examines student experiences and…
Descriptors: Artificial Intelligence, Computer Science Education, Programming, Computer Uses in Education
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Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
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Sahebi, Shaghayegh; Lin, Yu-Ru; Brusilovsky, Peter – International Educational Data Mining Society, 2016
We propose a novel tensor factorization approach, Feedback-Driven Tensor Factorization (FDTF), for modeling student learning process and predicting student performance. This approach decomposes a tensor that is built upon students' attempt sequence, while considering the quizzes students select to work with as its feedback. FDTF does not require…
Descriptors: Data Analysis, Prediction, Models, Learning
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Chen, Chen; Haduong, Paulina; Brennan, Karen A.; Sonnert, Gerhard; Sadler, Philip M. – AERA Online Paper Repository, 2017
The impact of a novice programmer's first language on their subsequent achievement in further computing education has been the subject of much study in the field of computer science education. Our research is a retrospective study of more than 10,000 undergraduate students enrolled in CS1 (introduction to computer programming) from 118 US college…
Descriptors: Undergraduate Students, Computer Science Education, Novices, Programming
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Moffett, David W. – Online Submission, 2019
The Education Program Provider Chair's objective was to create a student legacy artifact archival retrieval system. The goal was to have the database system operational by Spring Semester, 2019. The purpose of the new system was to house and index student and pre-service candidate product across performance levels reflective of the program's key…
Descriptors: Databases, Computer Science Education, College Faculty, Departments
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Reilly, Joseph M.; Schneider, Bertrand – International Educational Data Mining Society, 2019
Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…
Descriptors: Problem Solving, Discourse Analysis, Cooperative Learning, Computer Assisted Instruction
Mihci, Can; Ozdener, Nesrin – International Association for Development of the Information Society, 2014
The aim of this study is to assess the impact upon academic success of the use of a reference block-based visual programming tool, namely the MIT App Inventor for Android, as an educational instrument for teaching object-oriented GUI-application development (CS2) concepts to students; who have previously completed a fundamental programming course…
Descriptors: Computer Science Education, Programming, Computer Software, Programming Languages
Urbaczewski, Andrew; Urbaczewski, Lise – 1997
The objective of this study was to find the answers to two primary research questions: "Do students learn programming languages better when they are offered in a particular order, such as 4th generation languages before 3rd generation languages?"; and "Do students learn programming languages better when they are taken in separate semesters as…
Descriptors: Academic Achievement, Higher Education, Information Science Education, Instructional Effectiveness
Goldenson, Dennis – 1996
The assertion that "higher order" thinking skills can be improved by learning to program computers is not a new one. The idea endures even though the empirical evidence over the years has been mixed at best. In fact, there is no reason to expect that all programming courses will have identical, or even similar, effects. Such courses typically…
Descriptors: Academic Achievement, Authoring Aids (Programming), Computer Software, Computers