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Xu, Zhen; Ritzhaupt, Albert D.; Umapathy, Karthikeyan; Ning, Yang; Tsai, Chin-Chung – Computer Science Education, 2021
Background and context: Researchers have been looking into the complexity of computer science (CS) education and tried to apply rigorous and relevant educational research methods to understand and facilitate the learning experience of students. Objective: The purpose of this study was to explore college students' conceptions of learning CS to shed…
Descriptors: College Students, Student Attitudes, Computer Science Education, Freehand Drawing
Du, Jie; Wimmer, Hayden; Rada, Roy – Information Systems Education Journal, 2018
This study investigates the delivery of the "Hour of Code" tutorials to college students. The college students who participated in this study were surveyed about their opinion of the Hour of Code. First, the students' comments were discussed. Next, a content analysis of the offered tutorials highlights their reliance on visual…
Descriptors: College Students, Tutorial Programs, Student Surveys, Computer Games
Devon M. Christman – ProQuest LLC, 2024
Computer use has become a fact of life, especially for children, many of whom were forced to switch to online learning during the COVID-19 pandemic and resorted to digital hobbies as a safety measure. Further the amount of time children spend on computers, as well as the number of different computer devices that pervade our post-pandemic society…
Descriptors: Computer Software, Computer Use, Information Technology, Cognitive Science
Yun Huang; Christian Dieter Schunn; Julio Guerra; Peter L. Brusilovsky – ACM Transactions on Computing Education, 2024
Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…
Descriptors: Programming, Computer Science Education, Error Patterns, Classification
Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
Jing Wang; Jasni Dolah – International Journal of Virtual and Personal Learning Environments, 2024
Cultural tourism provides rich opportunities for experiential learning, but a framework to foster such learning is lacking. This study introduces the "learning behaviors-interactive scenarios" framework to explore key facilitators of experiential learning in cultural tourism. Through a literature review, it outlines key learning…
Descriptors: Influences, Experiential Learning, Tourism, Cultural Awareness
Carlos Sandoval-Medina; Carlos Argelio Arévalo-Mercado; Estela Lizbeth Muñoz-Andrade; Jaime Muñoz-Arteaga – Journal of Information Systems Education, 2024
Learning basic programming concepts in computer science-related fields poses a challenge for students, to the extent that it becomes an academic-social problem, resulting in high failure and dropout rates. Proposed solutions to the problem can be found in the literature, such as the development of new programming languages and environments, the…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Instructional Materials
Karavirta, Ville; Shaffer, Clifford A. – IEEE Transactions on Learning Technologies, 2016
Data Structures and Algorithms are a central part of Computer Science. Due to their abstract and dynamic nature, they are a difficult topic to learn for many students. To alleviate these learning difficulties, instructors have turned to algorithm visualizations (AV) and AV systems. Research has shown that especially engaging AVs can have an impact…
Descriptors: Electronic Learning, Computer Science, Animation, Mathematics
Bermingham, Nevan; Boylan, Frances; Ryan, Barry – Innovations in Education and Teaching International, 2023
Peer Assisted Leaning (PAL) programmes have been shown to enhance learner confidence and have an overall positive effect on learner comprehension, particularly in subjects traditionally perceived as difficult. This research describes the findings of a three-cycle Action Research study into the perceived benefits of implementing such a programme…
Descriptors: Foreign Countries, Adult Students, Evidence Based Practice, Models
Ramírez-Donoso, Luis; Pérez-Sanagustín, Mar; Neyem, Andrés; Alario-Hoyos, Carlos; Hilliger, Isabel; Rojos, Felipe – Interactive Learning Environments, 2023
Over the past years, higher education institutions have been exploring different mechanisms to adapt their learning and teaching practices to increase students' engagement. One of the proposals has been to reuse Massive Online Open Courses (MOOCs) as Small Online Private Courses (SPOCs), or as complementary resources in traditional courses through…
Descriptors: Technology Uses in Education, Electronic Learning, Cooperative Learning, Gamification
Menon, Pratibha – Journal of Information Systems Education, 2023
This paper introduces a teaching process to develop students' problem-solving and programming efficacy in an introductory computer programming course. The proposed teaching practice provides step-by-step guidelines on using worked-out examples of code to demonstrate the applications of programming concepts. These coding demonstrations explicitly…
Descriptors: Introductory Courses, Programming, Computer Science Education, Feedback (Response)
Chrysafiadi, Konstantina; Virvou, Maria; Tsihrintzis, George A.; Hatzilygeroudis, Ioannis – Education and Information Technologies, 2023
Nowadays, the improvement of digital learning with Artificial Intelligence has attracted a lot of research, as it provides solutions for individualized education styles which are independent of place and time. This is particularly the case for computer science, as a tutoring domain, which is rapidly growing and changing and as such, learners need…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Programming
Amanda M. Meek – ProQuest LLC, 2023
Despite high scores and abilities, girls lose interest in science and math throughout middle school. According to the Bureau of Labor Statistics, jobs in the computer science research field will grow 19% by 2026; however, only 18% of the bachelor's degrees in computer science are earned by women in the United States (ComputerScience.org, 2021).…
Descriptors: Problem Solving, Creativity, Programming, Computer Science
Yabing Jiang; Kazuo Nakatani – Journal of Information Systems Education, 2025
This research answers the call for Information Systems (IS) faculty to actively embrace rapidly advancing AI tools in teaching. We experimented with redesigning learning activities in two courses, requiring students to use GenAI, to aid student learning and teach responsible use of GenAI. The results show that students in the experimental group…
Descriptors: Teaching Methods, Technology Integration, Artificial Intelligence, Higher Education
Hsiao, Ling; Lee, Irene; Klopfer, Eric – British Journal of Educational Technology, 2019
Computer modeling promotes mechanistic reasoning when learners build and analyze models of complex systems to explore causal mechanisms and use models to generate patterns. StarLogo Nova (SLN), an agent-based modeling (ABM) environment, enables novice programmers to model a system's individual components and investigate its emergent, collective…
Descriptors: Logical Thinking, Computer Simulation, Models, Computer Science Education