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Jennings, Jay; Muldner, Kasia – International Journal of Artificial Intelligence in Education, 2021
When students are first learning to program, they not only have to learn to write programs, but also how to trace them. Code tracing involves stepping through a program step-by-step, which helps to predict the output of the program and identify bugs. Students routinely struggle with this activity, as evidenced by prior work and our own experiences…
Descriptors: Scaffolding (Teaching Technique), Tutors, Tutoring, Programming
Phung, Tung; Cambronero, José; Gulwani, Sumit; Kohn, Tobias; Majumdarm, Rupak; Singla, Adish; Soares, Gustavo – International Educational Data Mining Society, 2023
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…
Descriptors: Computational Linguistics, Feedback (Response), Programming, Computer Science Education
Sudol, Leigh Ann; Rivers, Kelly; Harris, Thomas K. – International Educational Data Mining Society, 2012
In complex problem solving domains, correct solutions are often comprised of a combination of individual components. Students usually go through several attempts, each attempt reflecting an individual solution state that can be observed during practice. Classic metrics to measure student performance over time rely on counting the number of…
Descriptors: Problem Solving, Tutors, Feedback (Response), Probability
Boyer, Kristy Elizabeth; Phillips, Robert; Wallis, Michael D.; Vouk, Mladen A.; Lester, James C. – Computer Science Education, 2009
The majority of computer science education research to date has focused on purely cognitive student outcomes. Understanding the "motivational" states experienced by students may enhance our understanding of the computer science learning process, and may reveal important instructional interventions that could benefit student engagement and…
Descriptors: Computer Science Education, Tutoring, Student Motivation, Learning Processes
Learning with a Missing Sense: What Can We Learn from the Interaction of a Deaf Child with a Turtle?
Miller, Paul – American Annals of the Deaf, 2009
This case study reports on the progress of Navon, a 13-year-old boy with prelingual deafness, over a 3-month period following exposure to Logo, a computer programming language that visualizes specific programming commands by means of a virtual drawing tool called the Turtle. Despite an almost complete lack of skills in spoken and sign language,…
Descriptors: Speech, Sign Language, Programming Languages, Oral Language
Emurian, Henry H. – Behavior Analyst Today, 2007
At the beginning of a Java computer programming course, nine students in an undergraduate class and nine students in a graduate class completed a web-based programmed instruction tutoring system that taught a simple computer program. All students exited the tutor with an identical level of skill, at least as determined by the tutor's required…
Descriptors: Multiple Choice Tests, Computer Software, Computers, Program Effectiveness
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