An Evaluation of Technological Resources for Computer Science Education | IJCT Volume 13 – Issue 4 | IJCT-V13I4P15
International Journal of Computer Techniques
ISSN 2394-2231
Author
Shweta Agrawal
Abstract
This review examines the technological resources that support teaching and learning in computer science education across schools and higher education. It explores a broad range of educational technologies, including learning management systems (LMS), integrated development environments (IDEs), online coding platforms, automated assessment systems, simulation and visualization tools, collaborative learning platforms, virtual and augmented reality (VR/AR), and artificial intelligence (AI)-driven educational applications. The study highlights how these technologies enhance programming skills, computational thinking, collaboration, personalized learning, assessment, and student engagement. It also discusses the role of intelligent tutoring systems, immersive learning environments, and AI-assisted feedback in improving learning outcomes while addressing challenges related to academic integrity, privacy, governance, accessibility, and ethical AI adoption. Furthermore, the review examines implementation strategies, taxonomy-based classification of educational technologies, evidence of effectiveness, and emerging research trends. The findings indicate that technology-enhanced learning has transformed computer science education by promoting learner-centered instruction, improving educational efficiency, and supporting scalable, inclusive, and adaptive learning environments. However, continued research, robust governance frameworks, and evidence-based implementation are necessary to maximize the benefits of these technologies and ensure equitable access and responsible use.
Keywords
Computer science education, educational technology, digital learning, artificial intelligence, learning management systems, programming tools, online coding platforms, computational thinking, automated assessment, collaborative learning, virtual reality, augmented reality, programming education, student engagement, and technology-enhanced learning.
Conclusion
This review highlights the significant role of technological resources in transforming computer science education by making teaching and learning more interactive, accessible, and effective. The study examined a wide range of educational technologies, including learning management systems, integrated development environments, online coding platforms, automated assessment tools, collaborative learning applications, simulation and visualization technologies, immersive learning environments, and artificial intelligence-based educational systems. These technologies support the development of programming skills, computational thinking, problem-solving abilities, collaboration, and personalized learning experiences while improving student engagement and learning outcomes. Despite these advantages, the successful integration of technology into computer science education requires careful attention to challenges such as data privacy, academic integrity, ethical AI use, accessibility, and institutional governance. Effective implementation depends on appropriate teacher training, well-designed pedagogical approaches, and evidence-based evaluation of educational technologies. Future research should focus on longitudinal studies, equitable access to digital resources, explainable AI, standardized evaluation frameworks, and the responsible adoption of emerging technologies. Overall, technology-enhanced learning has become an essential component of modern computer science education, and its continued development will play a vital role in preparing students with the knowledge and skills required for an increasingly digital world.
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How to Cite This Paper
Shweta Agrawal (2026). An Evaluation of Technological Resources for Computer Science Education. International Journal of Computer Techniques, 13(4). ISSN: 2394-2231.
