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Frydenberg, Mark; Mentzer, Kevin – Information Systems Education Journal, 2021
Project-based learning (PBL) engages students deeply with course concepts and empowers them to drive their own learning through the development of solutions to real-world challenges. By taking ownership of and completing a project that they designed, students develop and demonstrate creativity, critical thinking, and collaboration skills. This…
Descriptors: Learner Engagement, Student Empowerment, Active Learning, Student Projects
Shao-Heng Ko; Kristin Stephens-Martinez – ACM Transactions on Computing Education, 2025
Background: Academic help-seeking benefits students' achievement, but existing literature either studies important factors in students' selection of all help resources via self-reported surveys or studies their help-seeking behavior in one or two separate help resources via actual help-seeking records. Little is known about whether computing…
Descriptors: Computer Science Education, College Students, Help Seeking, Student Behavior
Hsu, Wen-Chin; Gainsburg, Julie – Journal of Educational Computing Research, 2021
Block-based programming languages (BBLs) have been proposed as a way to prepare students for learning to program in more sophisticated, text-based languages, such as Java. Hybrid BBLs add the ability to view and edit the block commands in auto-generated, text-based code. We compared the use of a non-hybrid BBL (Scratch), a hybrid BBL (Pencil…
Descriptors: Computer Science Education, Introductory Courses, Teaching Methods, Student Attitudes
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
Teng Ma; Ahmad Samed Al-Adwan; Na Li; Erick Purwanto; Wan Meng; Hai-Ning Liang – IEEE Transactions on Education, 2025
Contribution: This study has proposed a hybrid framework of acceptance and self-determination for the use of digital textbooks in higher education programming courses. The intertwined relationships between acceptance and self-determination factors, and their joint effects on student's engagement and learning performance are all examined.…
Descriptors: Textbooks, Electronic Publishing, College Students, Programming
Yesengazyevna, Sagimbayeva Ainur; Niyetbayeva, Nadira; Tassuov, Bolat; Kalima, Tuyenbayeva; Bekbulatovna, Arystanova Assel – Cypriot Journal of Educational Sciences, 2022
The purpose of this research is to get students' opinions on teaching programming to students with the help of educational games in the conditions of additional education in computer science. In order to carry out the study in accordance with the main purpose, the phenomenological approach, one of the qualitative research methods, was used. The…
Descriptors: Computer Science Education, Educational Games, College Students, Student Attitudes
Hao-Chiang Koong Lin; Chun-Hsiung Tseng; Nian-Shing Chen – Educational Technology & Society, 2025
In recent years, learning programming has been a challenge for both learners and educators. How to enhance student engagement and learning outcomes has been a significant concern for researchers. This study examines the effects of AI-based pedagogical agents on students' learning experiences in programming courses, focusing on web game development…
Descriptors: Programming, Learner Engagement, Self Efficacy, Artificial Intelligence
Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
Yusuf, Abdullahi; Noor, Norah Md – Journal of Computer Assisted Learning, 2023
Background: Several attitude scales have been developed to measure students' attitudes toward computer programming, including the prominent one developed by Cetin and Ozden. The development of these scales stemmed from the elusive nature of attitude and the lack of specific constructs to measure attitude. These instruments measure students'…
Descriptors: Programming, Computer Science Education, Attitude Measures, Student Attitudes
Tarling, Georgie; Melro, Ana; Kleine Staarman, Judith; Fujita, Taro – Pedagogies: An International Journal, 2023
Coding bootcamps targeting diverse learners are increasingly popular. However, little research has focused on the student experience of these courses: what pedagogic practices make learning coding meaningful for them and why. In a previous paper, we proposed a conceptual framework outlining three dimensions of learning opportunities in relation to…
Descriptors: Student Attitudes, Coding, Programming, Computer Science Education
Hedia Mhiri Sellami – Education and Information Technologies, 2024
This study describes an experiment in which engineering students create serious games (SG) that tackle problems relevant to their jobs. This experiment was conducted as part of the "Business Games" module we taught students enrolled in the Master's program "Innovation Management" at the National School of Engineers of Tunis. By…
Descriptors: Engineering Education, College Students, Game Based Learning, Foreign Countries
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
Jamie Sarah Gorson – ProQuest LLC, 2022
While there is high demand for university computer science (CS) courses, students often struggle when learning to program. Prior work has identified that student perceptions of their programming ability may contribute to these challenges. For example, studies show that students often perceive that they do not belong, are not capable of succeeding,…
Descriptors: Programming, Student Attitudes, Student Experience, Self Efficacy
Aivaloglou, Efthimia; van der Meulen, Anna – ACM Transactions on Computing Education, 2021
Courses in computer science curricula often involve group programming assignments. Instructors are required to take several decisions on assignment setup and monitoring, team formation policies, and grading systems. Group programming projects provide unique monitoring opportunities due to the availability of both product and process data, as well…
Descriptors: Student Attitudes, Grading, Cooperative Learning, Programming
Xie, Weiguo; Davis, Richard A. – Chemical Engineering Education, 2022
A chemical engineering analysis course was modified to include analytics with advanced numerical methods. The course uses the MATLAB computational environment to develop student programming, modeling, analytics, and optimization skills. Case studies reinforce MATLAB, numerical methods, and advanced optimization skills. Students reported confidence…
Descriptors: Chemical Engineering, Computation, Programming, Mathematical Models