Work

A Debugging Learning Trajectory for Text-Based Programming Learners

Year: 2021

Type: conference-paper

Abstract: Novice programming learners encounter programming errors on a regular basis. Resolving programming errors, which is also known as debugging, is not easy yet important to programming learning. Students with poor debugging ability hardly perform well on programming courses. A debugging learning trajectory which identifies learning goals, learning pathways, and instructional activities will benefit debugging learning activities development. This study aims to develop a debugging learning trajectory for text-based programming learners. This is accomplished through (1) analyzing programming errors in a logic programming learning environment and (2) examining existing literature on debugging analysis.

Source: ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE)

DOI: 10.1145/3456565.3460049

Authors: Hanxiang Du, Wanli Xing, Yuanlin Zhang

Institutions: University of Florida, Texas Tech University

Language: English

Topic: Teaching and Learning Programming

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: bronze

Funder: National Science Foundation