ARCHIVES
Original Article
Data-Driven Curriculum Design in Creative Tech Education Using Student Interaction Analysis
Aditya Kamble1
Kartik Salame2
Bhagyashree Kumbhare3
Yamini B. Laxane4
12 Students, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 3HOD, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 4 Professor, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India.
Published Online: May-August 2025
Pages: 191-198
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250402024
References
[1]. B. Liu, "Sentiment Analysis and Opinion Mining," Synthesis Lectures on Human Language Technologies, vol. 5, no. 1, pp. 1–167, 2012.
[2]. A. Pak and P. Paroubek, "Twitter as a Corpus for Sentiment Analysis and Opinion Mining," in Proceedings of the Seventh International
Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta, 2010, pp. 1320–1326.
[3]. M. A. A. Murad and M. F. Javed, "Sentiment Analysis of Social Media Data Using Machine Learning Techniques," Procedia Computer
Science, vol. 167, pp. 1260–1267, 2020.
[4]. J. Zhang, Y. Dang, H. Chen and M. Thurmond, "An integrated framework for sentiment analysis of student feedback in MOOCs," Journal
of Decision Systems, vol. 26, sup1, pp. 100–118, 2017
[5]. S. M. Mohammad, "From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales," in Proceedings of the
5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, Portland, Oregon, USA, 2011.
[6]. A collection of research articles examining how user engagement analytics, such as click-through rates, dwell time, and commenting
patterns, can be used to rank content in Q&A platforms, and the impact of these metrics on trust and content credibility.
[7]. A. K. Jose, S. Bhat and M. Agarwal, "Cross Domain Sentiment Analysis using Wikipedia," in Proceedings of the International Conference
on Data Mining and Computer Engineering, Bangkok, Thailand, 2010.
[8]. A. Ghosh and B. Guha, "Effectiveness of Social Media Sentiment Analysis in Learning and Curriculum Enhancement," International Journal
of Educational Technology in Higher Education, vol. 17, no. 1, pp. 1–19, 2020.
[9]. Y. Liu, X. Wang and M. Yang, "Deep Learning for Sentiment Analysis of Student Feedback in Online Education," IEEE Access, vol. 8, pp.
91502–91510, 2020
[10]. T. A. Bui, A. G. Nyugen, and M. T. Tran, "Big Data Analytics in Education: A Review of the Current Landscape and Future Directions,"
Education and Information Technologies, vol. 26, pp. 5041–5066, 2021.
[2]. A. Pak and P. Paroubek, "Twitter as a Corpus for Sentiment Analysis and Opinion Mining," in Proceedings of the Seventh International
Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta, 2010, pp. 1320–1326.
[3]. M. A. A. Murad and M. F. Javed, "Sentiment Analysis of Social Media Data Using Machine Learning Techniques," Procedia Computer
Science, vol. 167, pp. 1260–1267, 2020.
[4]. J. Zhang, Y. Dang, H. Chen and M. Thurmond, "An integrated framework for sentiment analysis of student feedback in MOOCs," Journal
of Decision Systems, vol. 26, sup1, pp. 100–118, 2017
[5]. S. M. Mohammad, "From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales," in Proceedings of the
5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, Portland, Oregon, USA, 2011.
[6]. A collection of research articles examining how user engagement analytics, such as click-through rates, dwell time, and commenting
patterns, can be used to rank content in Q&A platforms, and the impact of these metrics on trust and content credibility.
[7]. A. K. Jose, S. Bhat and M. Agarwal, "Cross Domain Sentiment Analysis using Wikipedia," in Proceedings of the International Conference
on Data Mining and Computer Engineering, Bangkok, Thailand, 2010.
[8]. A. Ghosh and B. Guha, "Effectiveness of Social Media Sentiment Analysis in Learning and Curriculum Enhancement," International Journal
of Educational Technology in Higher Education, vol. 17, no. 1, pp. 1–19, 2020.
[9]. Y. Liu, X. Wang and M. Yang, "Deep Learning for Sentiment Analysis of Student Feedback in Online Education," IEEE Access, vol. 8, pp.
91502–91510, 2020
[10]. T. A. Bui, A. G. Nyugen, and M. T. Tran, "Big Data Analytics in Education: A Review of the Current Landscape and Future Directions,"
Education and Information Technologies, vol. 26, pp. 5041–5066, 2021.
Related Articles
2025
Transforming Cyber-Physical Systems: Machine Learning for Secure and Efficient Solutions
2025
Exploring AI Techniques for Quantum Threat Detection and Prevention
2025
Maturity Models for Business Intelligence: An Overview
2025
INSPIRO: An AI Driven Institution Auditor
2025
Adaptive AI Framework for Anomaly Detection and DDoS Mitigation in Distributed Systems
2025
