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Crabtree, John; Zhang, Xihui; Ray, Daniel – International Journal of Teaching and Learning in Higher Education, 2022
Learning how to solve problems using computer programming is very challenging for beginners. Supplemental instructors (SIs), who lead tutoring sessions outside of normally scheduled class time and are usually peers of the students they tutor, can be of great assistance. However, since these tutors are also taking classes themselves, it can be…
Descriptors: Peer Teaching, Tutoring, Programming, Mentors
Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
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
Engelberger, Felipe; Galaz-Davison, Pablo; Bravo, Graciela; Rivera, Maira; Ramirez-Sarmiento, Cesar A. – Journal of Chemical Education, 2021
The COVID-19 pandemic has swiftly forced a change in learning strategies across educational institutions, from extensively relying on in-person activities toward online teaching. It is particularly difficult to adapt courses that depend on physical equipment to be now carried out remotely. This is the case for bioinformatics, which typically…
Descriptors: Biology, Information Science, Computer Software, Tutoring
Suraweera, Pramuditha; Mitrovic, Antonija; Martin, Brent – International Journal of Artificial Intelligence in Education, 2010
Intelligent Tutoring Systems (ITS) are effective tools for education. However, developing them is a labour-intensive and time-consuming process. A major share of the effort is devoted to acquiring the domain knowledge that underlies the system's intelligence. The goal of this research is to reduce this knowledge acquisition bottleneck and better…
Descriptors: Intelligent Tutoring Systems, Programming, Engineering, Tutoring
Lee, Nancy – ProQuest LLC, 2013
The current study explored the differential effects of two learning strategies, self-explanation and reading questions and answers, on students' test performance in the computer programming language JavaScript. Students' perceptions toward the two strategies as to their effectiveness in learning JavaScript was also explored by examining students'…
Descriptors: Programming Languages, Tests, Student Attitudes, Tutoring
Kumar, R.; Rose, C. P. – IEEE Transactions on Learning Technologies, 2011
Tutorial Dialog Systems that employ Conversational Agents (CAs) to deliver instructional content to learners in one-on-one tutoring settings have been shown to be effective in multiple learning domains by multiple research groups. Our work focuses on extending this successful learning technology to collaborative learning settings involving two or…
Descriptors: Educational Technology, Computer Software, Computer Software Evaluation, Programming
Savvopoulos, Anastasios; Virvou, Maria – Campus-Wide Information Systems, 2010
Purpose: The elderly are often unfamiliar with computer technology and can encounter great difficulties. Moreover, the terms used in such systems may prove to be a challenge for these users. The aim of this research is to tutor the elderly on using an adaptive e-shop system in order to buy products easily. Design/methodology/approach: In view of…
Descriptors: Older Adults, Tutoring, Adult Education, Educational Technology
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2020
These proceedings contain the papers of the 14th International Conference on e-Learning (EL 2020), which was organised by the International Association for Development of the Information Society, July 21-23, 2020. This conference is part of the 14th Multi Conference on Computer Science and Information Systems 2020, July 21-25, which had a total of…
Descriptors: Educational Technology, Electronic Learning, Blended Learning, Open Educational Resources
Gerhardt, Jill; Olan, Michael – Information Systems Education Journal, 2010
This article describes our experience with peer tutoring in introductory programming courses. This tutoring concept was one of the integral support services out of five student services, which were part of a National Science Foundation Grant, designed to improve education, increase retention, improve professional development and employability, and…
Descriptors: Peer Teaching, Tutoring, Programming, Introductory Courses
Sykes, Edward – Journal of Interactive Learning Research, 2007
The Java Intelligent Tutoring System (JITS) was designed and developed to support the growing trend of Java programming around the world. JITS is an advanced web-based personalized tutoring system that is unique in several ways. Most programming Intelligent Tutoring Systems require the teacher to author problems with corresponding solutions. JITS,…
Descriptors: Programming, Tutoring, Intelligent Tutoring Systems, Interviews
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
Wells, J.; Barry, R. M.; Spence, A. – IEEE Transactions on Education, 2012
Traditional teaching styles practiced at universities do not generally suit all students' learning styles. For a variety of reasons, students do not always engage in learning in the courses in which they are enrolled. New methods to create and deliver educational material are available, but these do not always improve learning outcomes.…
Descriptors: Foreign Countries, Video Technology, Multimedia Instruction, Student Surveys
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
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
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