Optimizing Student Teamwork: Improving User Engagement and Collaborative Effectiveness

with SMART Collaborative-Goal-Setting Based Chatbot and Effort Visualization Tool

Master Thesis (2023)
Author(s)

S. Li (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Ujwal Gadiraju – Mentor (TU Delft - Web Information Systems)

M.L. Tielman – Graduation committee member (TU Delft - Interactive Intelligence)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Shikuan Li
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Shikuan Li
Graduation Date
30-11-2023
Awarding Institution
Delft University of Technology
Programme
['Computer Science']
Related content

TeamSynerPad system implemented based on Etherpad-lite editor that is used for experiment in this study

https://github.com/Shikuan99-shadowkk/newtestdeploy.git
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

With the growing importance of teamwork in higher education, effective communication and goal congruence have become vital in improving the effectiveness of student teamwork. This study aims todesign and implement an innovative system that combines a goal-setting chatbot and an effort visualizer to facilitate effective collaboration in student teams. We found that unclear goals and lack ofengagement were the main challenges in teamwork. To address these challenges, we developed asystem that combines a chatbot and an effort visualizer designed to enhance team transparency andgoal alignment through technology. The chatbot guides users to set specific collaborative goals throughthe SMART framework. At the same time, the effort visualizer displays each member’s contribution,thus increasing accountability among team members and facilitating greater participation. The systemwe designed was validated in a creative writing task (N=84) in a collaborative scenario. The resultsshowed that either the chatbot or the effort visualizer alone positively impacted student engagementand collaboration. However, when using the chatbot and effort visualizer in combination, there neededto be more clear evidence to improve engagement and collaboration effects further. This finding suggests that we pay more attention to the characteristics of individual tools and combination strategieswhen designing collaboration enhancement tools. This study provides valuable insights into using chatbots and visualization techniques to improve team collaboration and suggests new directions for futureresearch in educational technology.

Files

License info not available