Agile methodologies particularly scrum, have increasingly extended their relevance beyond software development and are now being effectively adapted to educational settings. This study explores the various dimensions of applying scrum framework within education. By aligning scrum features with academic context, the research introduces a novel perspective on its applicability in teaching and learning. Recognizing the growing applicability of agile methodologies in education, the proposed framework adapts scrum principles—such as iterative learning cycles (sprints), continuous feedback, and collaborative task management—to create a more dynamic, student-centered learning environment. Focusing on computer science education, the proposed framework designed to bridge the gap between academic process and industry expectations, the model encourages active engagement, practical skill development, and timely performance assessment. By aligning course delivery with industry-relevant competencies, the model aims to better prepare students for recruitment processes and real-world challenges. Future work will involve implementing this model in a selected computer science course, gathering data on student performance and feedback, and evaluating its impact on both academic performance and placement success.

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Scrum Based Proposed Framework Applicable for Improving the Teaching and Learning Process in Computer Science Degree Courses

  • Sona Gadani,
  • Urja Mankad,
  • Monica Gahlawat

摘要

Agile methodologies particularly scrum, have increasingly extended their relevance beyond software development and are now being effectively adapted to educational settings. This study explores the various dimensions of applying scrum framework within education. By aligning scrum features with academic context, the research introduces a novel perspective on its applicability in teaching and learning. Recognizing the growing applicability of agile methodologies in education, the proposed framework adapts scrum principles—such as iterative learning cycles (sprints), continuous feedback, and collaborative task management—to create a more dynamic, student-centered learning environment. Focusing on computer science education, the proposed framework designed to bridge the gap between academic process and industry expectations, the model encourages active engagement, practical skill development, and timely performance assessment. By aligning course delivery with industry-relevant competencies, the model aims to better prepare students for recruitment processes and real-world challenges. Future work will involve implementing this model in a selected computer science course, gathering data on student performance and feedback, and evaluating its impact on both academic performance and placement success.