WIP: Automated Flexible Extensions for Improving Learning Equity in Large Scale Computing Classrooms

This Work-In-Progress Innovative Practice paper describes a new flexible, at-scale assignment extension policy and its implementation in large undergraduate computing class-rooms. While prior work has studied flexible deadlines and their effect on student learning, such policies are still under-utilized in post-secondary classrooms due to practical constraints on administrative workload, from managing hundreds to thousands of requests to reducing excessive grading overhead, especially in large post-secondary classrooms. The Flextensions tool-an automated flexible extension assignment software-promotes equitable learning opportunities in higher education by providing sufficient accommodations to each student's unique learning needs and life circumstances. Part of Flextensions is a scalable software tool implementation that facilitates instructor management of extension requests across thousands of students and a variety of course policies. We present Flextensions and describe initial experiences with adapting the tool to computer science and data science undergraduate courses at an R1 institution in the United States. This work shares the open-source software that enables and streamlines the management of extension requests across different course policies. Additionally, we provide an initial analysis of flexible extensions in three specific large-scale (500–1500 students) undergraduate computing courses. Overall, students tended not to take advantage of the policy but rather used it only when needed, with many citing extenuating circumstances-personal or otherwise. By analzing survey results, the policy was well-received, with positive impressions on well-being, learning outcomes, and overall academic experience. One student-reported benefit was that many felt valued as individuals in the classroom. Despite some students still reporting stigma towards requesting an extension, Flextensions has the promising ability to improve the quality and responsiveness of creating accommodations in large-scale classrooms.

Authors

Institutions

Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/fie61694.2024.10892976
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

WIP: Automated Flexible Extensions for Improving Learning Equity in Large Scale Computing Classrooms

Lisa Yan, Jordan Schwartz, Narges Norouzi, Dana Benedicto
1 citations
Online Learning and Analytics
0.41
article

WIP: Automated Flexible Extensions for Improving Learning Equity in Large Scale Computing Classrooms

Lisa Yan, Jordan Schwartz, Narges Norouzi, Dana Benedicto
article en
1 citations

Abstract

This Work-In-Progress Innovative Practice paper describes a new flexible, at-scale assignment extension policy and its implementation in large undergraduate computing class-rooms. While prior work has studied flexible deadlines and their effect on student learning, such policies are still under-utilized in post-secondary classrooms due to practical constraints on administrative workload, from managing hundreds to thousands of requests to reducing excessive grading overhead, especially in large post-secondary classrooms. The Flextensions tool-an automated flexible extension assignment software-promotes equitable learning opportunities in higher education by providing sufficient accommodations to each student's unique learning needs and life circumstances. Part of Flextensions is a scalable software tool implementation that facilitates instructor management of extension requests across thousands of students and a variety of course policies. We present Flextensions and describe initial experiences with adapting the tool to computer science and data science undergraduate courses at an R1 institution in the United States. This work shares the open-source software that enables and streamlines the management of extension requests across different course policies. Additionally, we provide an initial analysis of flexible extensions in three specific large-scale (500–1500 students) undergraduate computing courses. Overall, students tended not to take advantage of the policy but rather used it only when needed, with many citing extenuating circumstances-personal or otherwise. By analzing survey results, the policy was well-received, with positive impressions on well-being, learning outcomes, and overall academic experience. One student-reported benefit was that many felt valued as individuals in the classroom. Despite some students still reporting stigma towards requesting an extension, Flextensions has the promising ability to improve the quality and responsiveness of creating accommodations in large-scale classrooms.

University of California, Berkeley (US)
Openalex Percentile: Top 23%
Online Learning and Analytics
0.41
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.