TY - GEN
T1 - Curb Your Procrastination
T2 - 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
AU - Zhao, Siqian
AU - Sahebi, Shaghayegh
AU - Behnagh, Reza Feyzi
N1 - Publisher Copyright: © 2023 Copyright held by the owner/author(s).Publication rights licensed to ACM.
PY - 2023/6/19
Y1 - 2023/6/19
N2 - Procrastination is a major issue faced by students which can lead to negative impacts on their academic performance and mental health.Productivity tools aim to help individuals to alleviate this behavior by providing self-regulatory support.However, the processes of how these applications help students conquer academic procrastination are under-explored.Particularly, it is essential to understand what aspects of these applications help which kinds of students in accomplishing their academic tasks.In this paper, we address this gap by presenting an academic planning and time management app (Proccoli) and a study designed to understand the association between student procrastination modeling, in-app behaviors, and perceived performance with app evaluation.As the core of our study, we analyze student perceptions of Proccoli and its impact on their study tasks and time management skills.Then, we model student procrastination behaviors by Hawkes process mining, assess student in-app behaviors by specifying planning and performance-related measures and evaluate the relationship between student behaviors and the evaluation survey results.Our study shows a need for personalized self-regulation support in Proccoli, as students with different in-app studying behaviors are found to have different perceptions of the app functionalities and the association between the prompts for social accountability students received by using Proccoli and their procrastination behavior is significant.
AB - Procrastination is a major issue faced by students which can lead to negative impacts on their academic performance and mental health.Productivity tools aim to help individuals to alleviate this behavior by providing self-regulatory support.However, the processes of how these applications help students conquer academic procrastination are under-explored.Particularly, it is essential to understand what aspects of these applications help which kinds of students in accomplishing their academic tasks.In this paper, we address this gap by presenting an academic planning and time management app (Proccoli) and a study designed to understand the association between student procrastination modeling, in-app behaviors, and perceived performance with app evaluation.As the core of our study, we analyze student perceptions of Proccoli and its impact on their study tasks and time management skills.Then, we model student procrastination behaviors by Hawkes process mining, assess student in-app behaviors by specifying planning and performance-related measures and evaluate the relationship between student behaviors and the evaluation survey results.Our study shows a need for personalized self-regulation support in Proccoli, as students with different in-app studying behaviors are found to have different perceptions of the app functionalities and the association between the prompts for social accountability students received by using Proccoli and their procrastination behavior is significant.
KW - Academic self-regulation
KW - Procrastination
KW - Student study behavior
KW - Time management
UR - https://www.scopus.com/pages/publications/85163833423
U2 - 10.1145/3565472.3592953
DO - 10.1145/3565472.3592953
M3 - Conference contribution
T3 - UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
SP - 124
EP - 134
BT - UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
PB - Association for Computing Machinery, Inc
Y2 - 26 June 2023 through 30 June 2023
ER -