Developing Feedback Analytics Discovering Feedback Patterns in an Introductory Course

• Feedback plays a vital role in learning. The earlier misconceptions are identified and corrected, the better for the development of a student's knowledge. Whilst this primarily benefits the student, this paper investigates the value of developing feedback analytics in order to discover new insights, patterns or issues within a course. To facilitate this, issue tracking was used within a large introductory computer science course to capture weekly feedback between teaching assistants and students. Key areas of feedback analytics were identified in terms of the amount of interaction and volume of discussion generated for weekly assignments over a twelve week period. These areas were further divided by focusing on the difference between weekly assignments and the teaching assistants. Applied to two years of data, feedback analytics revealed novel and useful insights about the course, its assignments and the interaction between students and teaching assistants, which helped to highlight areas for deeper course analysis and improvement.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Feedback

Analytics

CS1

Issue Tracking

Teaching Assistants

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)