Industry Collaborated Reflections and Scaffolding in Problem Based Learning

Authors

  • Omkar Patil School of Computer Science and Engineering, KLE Technological University, Karnataka, Hubli
  • Prakash Hegade School of Computer Science and Engineering, KLE Technological University, Karnataka, Hubli
  • Ashok Shettar School of Computer Science and Engineering, KLE Technological University, Karnataka, Hubli

DOI:

https://doi.org/10.16920/jeet/2023/v36is2/23027

Keywords:

Collaboration; Reflections; Problem Based Learning; Problem Solving; Scaffolding

Abstract

Problem based learning has evolved in consideration with culture and demography adapting to its social elements and class environment. The research community proves the method to be effective in building problem solving skills and developing cognitive capabilities along with professional and other team building skills. In this paper we propose a model to integrate industry expertise in building reflection and scaffolding constructs in course design and delivery. Collaboration was made with the industry Knit Space to assist in designing course elements meeting the course learning objectives. The syllabus was redesigned to conceptually split the contents as theories, concepts and applications. Reflection videos, three types of case studies and challenges were created accompanying to the problem based learning process adapted as per industry state-of-art. The course was delivered with the contents organized for the known knowledge leading to the discovery of the unknown. The case study research method, thematic analysis, feedback and the scores indicate that the process was effective in delivering the course model. The process can be applied beyond all the courses that are task or process oriented, or algorithmic in nature.

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Published

2025-06-17

How to Cite

Patil, O., Hegade, P., & Shettar, A. (2025). Industry Collaborated Reflections and Scaffolding in Problem Based Learning. Journal of Engineering Education Transformations, 36, 194–201. https://doi.org/10.16920/jeet/2023/v36is2/23027

Issue

Section

Research Article