Iterative Design of a Teaching Assistant Training Program in Computer Science Using the Agile Method

Facing soaring enrollment and disruptive educational technologies, computing education increasingly relies on the contributions of teaching assistants (TAs), hence the critical importance of high-quality TA training. However, the design and implementation of TA training in computer science face substantial barriers, such as the lack of experienced TA trainers and the scarcity of relevant training materials.

Authors

Institutions

Publication Details

Published
2025-02-12
DOI
https://doi.org/10.1145/3641554.3701829
Citations
4
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
6.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Iterative Design of a Teaching Assistant Training Program in Computer Science Using the Agile Method

Xiaofeng Tang, Runda Liu, Jiajie Chen, Shengqi Chen et al.
4 citations
Teaching and Learning Programming
6.77
article

Iterative Design of a Teaching Assistant Training Program in Computer Science Using the Agile Method

Xiaofeng Tang, Runda Liu, Jiajie Chen, Shengqi Chen, Yuchun Ma, Songjie Niu
article en
4 citations

Abstract

Facing soaring enrollment and disruptive educational technologies, computing education increasingly relies on the contributions of teaching assistants (TAs), hence the critical importance of high-quality TA training. However, the design and implementation of TA training in computer science face substantial barriers, such as the lack of experienced TA trainers and the scarcity of relevant training materials.

Tsinghua University (CN)
Quality Education
Openalex Percentile: Top 4%
Teaching and Learning Programming
6.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.