AI-Enhanced Learning in Diploma Engineering: A Paradigm Shift Toward Student-Centric and Industry-Ready Education
Diploma engineering education is undergoing a paradigm shift, driven by integrating AIpowered technologies. This research paper explores the transformative impact of AI-driven best educational practices on diploma engineering programs, specifically focusing on their implementation at Thiagarajar Polytechnic College. The study delves into innovative initiatives such as Student Centric Learning (SCL), Learning Management Systems (LMS), Lecture Capturing System (LCS) and industryoriented programs that have significantly enhanced the teaching and learning process. This paper highlights the positive outcomes of these practices, including improved academic performance, higher employability rates, and the development of essential skills employers seek. Key strategies discussed include the use of Blackboard LMS for efficient content delivery and assessment, the implementation of HireMee for enhancing employability, and the integration of Moodle for interactive online learning. Additionally, the research explores the role of student facilitators in promoting peer learning and the significance of life and employability skills courses in preparing students for the workforce. By examining these innovative approaches, this paper aims to provide valuable insights for educational institutions seeking to leverage AI to improve student outcome based education and meet the demands of the modern workforce.
Authors
- E. Sheela
- A. Kanakaraj
- K. Senathipathi
Publication Details
- Journal
- International Journal of Emerging Knowledge Studies.
- Published
- 2025-03-30
- DOI
- https://doi.org/10.70333/ijeks-04-02-s-013
- Primary Topic
- Biomedical and Engineering Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00