Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles

06/17/2021
by   Anirudh Som, et al.
2

Collaboration is identified as a required and necessary skill for students to be successful in the fields of Science, Technology, Engineering and Mathematics (STEM). However, due to growing student population and limited teaching staff it is difficult for teachers to provide constructive feedback and instill collaborative skills using instructional methods. Development of simple and easily explainable machine-learning-based automated systems can help address this problem. Improving upon our previous work, in this paper we propose using simple temporal-CNN deep-learning models to assess student group collaboration that take in temporal representations of individual student roles as input. We check the applicability of dynamically changing feature representations for student group collaboration assessment and how they impact the overall performance. We also use Grad-CAM visualizations to better understand and interpret the important temporal indices that led to the deep-learning model's decision.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

07/13/2020

A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues

K-12 classrooms consistently integrate collaboration as part of their le...
01/07/2018

Group Communication Analysis: A Computational Linguistics Approach for Detecting Sociocognitive Roles in Multi-Party Interactions

Roles are one of the most important concepts in understanding human soci...
04/26/2019

Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory

Deep learning based knowledge tracing model has been shown to outperform...
12/06/2021

Designing a Dashboard for Student Teamwork Analysis

Classroom dashboards are designed to help instructors effectively orches...
12/03/2021

Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises

Cybersecurity students need to develop practical skills such as using co...
08/25/2020

Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology

Advances in data collection in radiation therapy have led to an abundanc...
10/31/2018

Quantitative analysis of approaches to group marking

Group work, where students work on projects to overcome challenges toget...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.