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Alajlan, Hayat A. – Technology, Knowledge and Learning, 2023
The purpose of this quasi-experimental design study was to investigate and compare flipped learning (FL) and traditional learning (TL), and how FL impacts on student performance, participation and perceptions in higher education in Saudi Arabia. FL as an instructional approach has received much attention as a way to center learning on students in…
Descriptors: Flipped Classroom, Conventional Instruction, College Students, Computer Science Education
Noah Glaser; Zeinab Parishani; Amogh Chetankumar Joshi; Prasad Calyam – Technology, Knowledge and Learning, 2025
As Virtual Reality (VR) gains traction in education, its potential to support neurodivergent learners in cybersecurity training remains underexplored. This emerging technology report examines how VR can bridge the gap between STEM education and cybersecurity training for neurodivergent individuals, highlighting both its promise and the challenges…
Descriptors: Computer Simulation, Computer Uses in Education, Computer Science Education, Computer Security
Aykut Durak; Vahide Bulut – Technology, Knowledge and Learning, 2025
The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…
Descriptors: Prediction, Low Achievement, High Achievement, Academic Achievement
Umar Bin Qushem; Solomon Sunday Oyelere; Gökhan Akçapinar; Rogers Kaliisa; Mikko-Jussi Laakso – Technology, Knowledge and Learning, 2024
Predicting academic performance for students majoring in computer science has long been a significant field of research in computing education. Previous studies described that accurate prediction of students' early-stage performance could identify low-performing students and take corrective action to improve performance. Besides, adopting machine…
Descriptors: Predictor Variables, Learning Analytics, At Risk Students, Computer Science
Ruta Pirta-Dreimane; Agne Brilingaite; Evita Roponena; Karen Parish; Janis Grabis; Ricardo Gregorio Lugo; Martinš Bonders – Technology, Knowledge and Learning, 2025
Incorporating gamification elements and innovative approaches in training programs are promising for addressing cybersecurity knowledge gaps. Cybersecurity education should combine hard and soft skill development when building the capacity to manage cyber incidents requiring timely communication, team collaboration, and self-efficacy in risk…
Descriptors: Computer Security, Computer Science Education, Educational Games, Gamification
Kiliç, Servet; Çakiroglu, Ünal – Technology, Knowledge and Learning, 2023
Since teaching robotics in schools is still new for teachers, studies on how to integrate computational thinking concepts in robotics courses are still rare. In this direction, teacher training sessions for teaching robotics should be visited. Accordingly, in this exploratory case study, a professional development program for teachers was…
Descriptors: Program Development, Program Implementation, Program Evaluation, Faculty Development
Sunday, Kissinger; Oyelere, Solomon Sunday; Agbo, Friday Joseph; Aliyu, Muhammad Bello; Balogun, Oluwafemi Samson; Bouali, Nacir – Technology, Knowledge and Learning, 2023
Many empirical studies have shown that educational games and recent technologies impact education and increase learning effectiveness, students' motivation and engagement. The overall aim of this study is to evaluate the usability of Imikode, a virtual reality (VR) game that was developed to introduce the concepts of object-oriented programming to…
Descriptors: Usability, Program Evaluation, Instructional Effectiveness, Computer Games
Amos Oyelere Sunday; Friday Joseph Agbo; Jarkko Suhonen – Technology, Knowledge and Learning, 2025
The recent popularity of computational thinking (CT) and the desire to apply CT in our daily lives have prompted the need for a successful pedagogical technique for learning CT in K-12 education. The application of co-design pedagogical techniques has the potential to improve students' CT learning through knowledge sharing and the creation of…
Descriptors: Thinking Skills, Computer Science Education, Research Reports, Teaching Methods
Marco Zappatore – Technology, Knowledge and Learning, 2024
This research aims to address the current gaps in computer-assisted translation (CAT) courses offered in bachelor's and master's programmes in scientific and technical translation (STT). A multi-framework course design methodology is proposed to support CAT teachers from the computer engineering field, improve student engagement, and promote…
Descriptors: Translation, Computational Linguistics, Computer Software, Language Skills

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