research-article

Prediction and Visualization of Academic Procrastination in Online Learning

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Yuting LingAuthors Info & Claims

ICDEL '21: Proceedings of the 2021 6th International Conference on Distance Education and Learning

Pages 133 - 139

https://doi.org/10.1145/3474995.3475017

Published: 22 November 2021 Publication History

Abstract

With the development of educational data mining and artificial intelligence, it has become a trend to use online learning data to evaluate students’ performance. Academic procrastination is an important performance of online learning and has a negative impact on academic performance. To address the problem of academic procrastination, this paper constructed an online learning academic procrastination prediction model. Task completion times and engagement performance were converted feature vectors. K-means algorithm was used to label the behaviors as procrastinators and non-procrastinators. Five classification algorithms were used to predict academic procrastination, and the performance of different classification algorithms was evaluated. The study found that the academic procrastination prediction model has good performance in predicting procrastination. It is expected that the findings of this paper will provide some warning for procrastinators, and encourage students to keep learning enthusiasm and initiative, and improve learning performance.

References

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Digital Library

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Cited By

Dol SJawandhiya P(2023)Classification Technique and its Combination with Clustering and Association Rule Mining in Educational Data Mining — A surveyEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106071122:COnline publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1016/j.engappai.2023.106071
Cheng SXie KCollier J(2023)Motivational beliefs moderate the relation between academic delay and academic achievement in online learning environmentsComputers & Education10.1016/j.compedu.2023.104724195:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.compedu.2023.104724
Zhang GZhu ZZhu SLiang RSun G(2022)Towards a better understanding of the role of visualization in online learning: A reviewVisual Informatics10.1016/j.visinf.2022.09.0026:4(22-33)Online publication date: Dec-2022
https://doi.org/10.1016/j.visinf.2022.09.002

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Prediction and Visualization of Academic Procrastination in Online Learning

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ICDEL '21: Proceedings of the 2021 6th International Conference on Distance Education and Learning

May 2021

330 pages

ISBN:9781450390033

DOI:10.1145/3474995

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 22 November 2021

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National Natural Science Foundation of China
National Natural Science Foundation of China

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ICDEL 2021

ICDEL 2021: 2021 the 6th International Conference on Distance Education and Learning

May 21 - 24, 2021

Shanghai, China

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Cited By

Dol SJawandhiya P(2023)Classification Technique and its Combination with Clustering and Association Rule Mining in Educational Data Mining — A surveyEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106071122:COnline publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1016/j.engappai.2023.106071
Cheng SXie KCollier J(2023)Motivational beliefs moderate the relation between academic delay and academic achievement in online learning environmentsComputers & Education10.1016/j.compedu.2023.104724195:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.compedu.2023.104724
Zhang GZhu ZZhu SLiang RSun G(2022)Towards a better understanding of the role of visualization in online learning: A reviewVisual Informatics10.1016/j.visinf.2022.09.0026:4(22-33)Online publication date: Dec-2022
https://doi.org/10.1016/j.visinf.2022.09.002

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