Current - Issue
Year 2026 · Volume 6 · Issue 4
Original Article
Learn Full: Adaptive Learning Artifact Generation via AI-Driven Semantic Auditing of Video Content
Amit Kumar1
Naivedya Sharma2
Dr. Gaurav Kumar3
1 2 Department of Computer Science & Engineering, IILM University, Greater Noida, Uttar Pradesh, India. 3 Supervisor, Department of Computer Science & Engineering, IILM University, Greater Noida, Uttar Pradesh, India.
Published Online: July-August 2026
Pages: 126-133
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20260604013
References
1. Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. The Journal of the Learning
Sciences, 4(2), 167–207.
2. Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy
of educational objectives. Longman.
3. Bloom, B. S. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. David
McKay.
4. Google DeepMind. (2024). Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. Technical Report.
Google DeepMind.
5. Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work? A literature review of empirical studies on gamification. In
Proceedings of the 47th Hawaii International Conference on System Sciences (pp. 3025–3034). IEEE.
6. Judge0 API Documentation. (2024). Sandboxed code execution.
7. Karpicke, J. D., & Blunt, J. R. (2011). Retrieval practice produces more learning than elaborative studying with concept mapping. Science,
331(6018), 772–775.
8. Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On
opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
9. Ko, A. J., Myers, B. A., & Aung, H. H. (2004). Six learning barriers in end-user programming systems. In Proceedings of the 2004 IEEE
Symposium on Visual Languages and Human Centric Computing (pp. 199–206). IEEE.
10. Kurdi, G., Leo, J., Parsia, B., Sattler, U., & Al-Emari, S. (2020). A systematic review of automatic question generation for educational
purposes. International Journal of Artificial Intelligence in Education, 30(1), 121–204.
11. Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist,
38(1), 1–4.
12. Piech, C., Bassen, J., Huang, J., Ganguli, S., Sahami, M., Guibas, L. J., & Sohl-Dickstein, J. (2015). Deep knowledge tracing. Advances in
Neural Information Processing Systems, 28.
13. Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological
Science, 17(3), 249–255.
14. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.
15. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
16. Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A review of artificial intelligence (AI) in education
from 2010 to 2020. Complexity, 2021, 8812542.
Sciences, 4(2), 167–207.
2. Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy
of educational objectives. Longman.
3. Bloom, B. S. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. David
McKay.
4. Google DeepMind. (2024). Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. Technical Report.
Google DeepMind.
5. Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work? A literature review of empirical studies on gamification. In
Proceedings of the 47th Hawaii International Conference on System Sciences (pp. 3025–3034). IEEE.
6. Judge0 API Documentation. (2024). Sandboxed code execution.
7. Karpicke, J. D., & Blunt, J. R. (2011). Retrieval practice produces more learning than elaborative studying with concept mapping. Science,
331(6018), 772–775.
8. Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On
opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
9. Ko, A. J., Myers, B. A., & Aung, H. H. (2004). Six learning barriers in end-user programming systems. In Proceedings of the 2004 IEEE
Symposium on Visual Languages and Human Centric Computing (pp. 199–206). IEEE.
10. Kurdi, G., Leo, J., Parsia, B., Sattler, U., & Al-Emari, S. (2020). A systematic review of automatic question generation for educational
purposes. International Journal of Artificial Intelligence in Education, 30(1), 121–204.
11. Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist,
38(1), 1–4.
12. Piech, C., Bassen, J., Huang, J., Ganguli, S., Sahami, M., Guibas, L. J., & Sohl-Dickstein, J. (2015). Deep knowledge tracing. Advances in
Neural Information Processing Systems, 28.
13. Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological
Science, 17(3), 249–255.
14. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.
15. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
16. Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A review of artificial intelligence (AI) in education
from 2010 to 2020. Complexity, 2021, 8812542.
Related Articles
2026
Fake Currency Detection Using Deep Learning
2026
Smart E-Commerce System with Dynamic Pricing
2026
Personal Expense Tracker with Currency Converter
2026
Paw Safe: An Extensive Technology-Driven Framework for Stray Dog Rescue, Healthcare Management, Community Engagement, and Smart Urban Governance
2026
Design and Development of a Full-Stack E-Commerce Website
2026
Power quality improvement techniques from a topological perspective: An overview
Share Article
Or copy link
https://www.ijsreat.com/archives/learn-full-adaptive-learning-artifact-generation-via-ai-driven-semantic-auditing-of-video-content
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.