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Sarah Matthews; Maria Nicholas; Lisa Kervin; Louise Paatsch; Peta Wyeth – Education and Information Technologies, 2025
Computational Thinking (CT) is recognised as an essential foundational skill that enhances problem-solving abilities and is a crucial learning area for effective engagement in an increasingly digital society. This paper highlights the significance of screen-less tangible tools in promoting young children's exploration and open-ended play with…
Descriptors: Thinking Skills, Computer Science Education, Infants, Toddlers
Ismaila Temitayo Sanusi; Enoch Shadrack Cudjoe; Musa Adekunle Ayanwale; Bisola Adepoju – SAGE Open, 2025
The increased trend of incorporating computer programming in the basic education system across countries requires the training of new educators. However, the current effort to increase the number of teachers teaching programming is through professional development programs for computer science (CS) teachers and from other content areas. Meanwhile,…
Descriptors: Preservice Teachers, Student Attitudes, Programming, Computer Science Education
Sophie McKenzie; Shaun Bangay; Karen Young – International Journal of Work-Integrated Learning, 2025
This study explores the evaluation of Information Technology (IT) students during and after their core-to-course work-integrated learning (WIL) placement conducted with an industry host and aligned for credit at an Australian University. The case study investigates the value of the performance evaluation criteria used by supervisors to judge…
Descriptors: Foreign Countries, Work Based Learning, Computer Science Education, Evaluation Criteria
Niloofar Mansoor; Cole S. Peterson; Michael D. Dodd; Bonita Sharif – ACM Transactions on Computing Education, 2024
Background and Context: Understanding how a student programmer solves different task types in different programming languages is essential to understanding how we can further improve teaching tools to support students to be industry-ready when they graduate. It also provides insight into students' thought processes in different task types and…
Descriptors: Biofeedback, Eye Movements, Computer Science Education, Programming Languages
Drew Hwang; Hui Shi; Larisa Preiser-Houy – Information Systems Education Journal, 2024
Modern digital technologies are advancing rapidly, driving transformative changes. For Information Systems (IS) educators, maintaining curricula that prepare graduates for the digital economy is imperative. This study developed a knowledge pool of 121 common keywords in digital transformation through literature review and investigated their…
Descriptors: Information Systems, Computer Science Education, Course Descriptions, Undergraduate Study
Hüseyin Gokal; Cem Ufuk Baytar – Turkish Online Journal of Educational Technology - TOJET, 2025
This study aims to examine university students' intentions to use artificial intelligence (AI) applications in their educational processes within the context of job characteristics (JC), technology characteristics (TC), task-technology fit (TTF), and self-efficacy (SE). The research was conducted with 965 students enrolled in Information…
Descriptors: College Students, Intention, Technology Uses in Education, Artificial Intelligence
Muhammet Yildirim; Yigit Emrah Turgut – Journal of Pedagogical Research, 2025
This study aimed to examine the impact of the flipped classroom model applied in the information technologies courses on pre-service teachers' candidates' academic achievements, self-regulated learning skills, and classroom engagement. The research was conducted with a total of 96 pre-service teachers teacher candidates, 48 in the experimental…
Descriptors: Flipped Classroom, Academic Achievement, Metacognition, Comparative Analysis
Wei Wei; BinBin Zhu; Ning Ding – Education and Information Technologies, 2025
The promotion and implementation of programming education in primary and secondary schools in the intelligent era are associated with high-quality information technology (IT) teachers who possess programming literacy. IT teachers' programming literacy requires a scientific and reasonable index system for quantitative evaluation. On the basis of…
Descriptors: Information Technology, Computer Science Education, Programming, Computer Literacy
Mugruza-Vassallo, Carlos Andrés – Education and Information Technologies, 2023
In the present research the typical triangle on formative research was extended to a double triangle for an overall career programme (here expander/ compressor) and funnel proposal was explored in a single course (as a "fractal" method). Array processing and ElectroEncephaloGram (EEG) techniques have been incorporated into a Digital…
Descriptors: Research Methodology, Undergraduate Students, Computer Science Education, Homework
Olipas, Cris Norman – Online Submission, 2022
This study aims to identify the experiences of information technology (IT) students in learning computer programming. Specifically, the feelings towards learning programming and the challenges and difficulties encountered by IT students were determined. The researcher used a phenomenological approach to determine the commonality of lived…
Descriptors: Information Technology, Programming, Computer Science Education, Student Attitudes
Kathleen J. Lehman; Julia Rose Karpicz; Tomoko M. Nakajima; Linda J. Sax; Veronika Rozhenkova – Computer Science Education, 2024
Department chairs play a key role in efforts to diversify higher education, particularly in fields like computer science that face long-standing gender and racial/ethnic gaps. This study considers the role of computer science department chairs in guiding broadening participation efforts and how they make sense of external dynamics that influence…
Descriptors: Department Heads, Influences, Student Participation, Computer Science Education
Jin Wei-Kocsis; Moein Sabounchi; Gihan J. Mendis; Praveen Fernando; Baijian Yang; Tonglin Zhang – IEEE Transactions on Education, 2024
Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer of the multidisciplinary artificial intelligence (AI)-cybersecurity knowledge. Specifically, the proposed learning paradigm contains: 1) an immersive learning environment to…
Descriptors: Computer Security, Artificial Intelligence, Interdisciplinary Approach, Models
Incorporating Coding into the Classroom: An Important Component of Modern Bioinformatics Instruction
Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
Mohammed Ahmed Kofahi; Anas Jebreen Atyeh Husain – Journal of Information Technology Education: Research, 2025
Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students' higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their…
Descriptors: Artificial Intelligence, Computer Science Education, Thinking Skills, Computer System Design
Sendag, Serkan; Yakin, Ilker; Gedik, Nuray – Education and Information Technologies, 2023
Teaching programming skills has attracted a great deal of attention for more than a decade. One potential reason behind this is that the explicit teaching of computer programming can improve higher-order thinking skills, such as creativity. Moreover, whether or not creative programming learning activities, such as the use of…
Descriptors: Preservice Teachers, Information Technology, Programming, Computer Science Education

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