Examining Students’ Motivation to Continue Using AI-Chatbot for Academic Assignment

This study focuses on the motivations of engaged Indonesian university students who frequently utilize the AI-chatbot to assist them with their academic work. This research modifies Post-Acceptance of Information System Continue model with the ECT (Expectation Confirmation Theory) and TAM (Technology Acceptance Model) to explore constructs to determine what motivates students to continue using the emerging AI-chatbot, namely BING. The findings revealed a positive and substantial correlation between Perceived Information Quality (PEIQ), Confirmation (CON), Perceived Usefulness (PEU), Perceived Enjoyment (PEE), Satisfaction (SAT), and Continue Intention (COI). Confirmation (CON) has a significant impact on how usefulness and enjoyment BING is perceived, which influences Satisfaction and the decision to continue using BING. Confirmation (CON) and Perceived Ease of Use (PEEOU) have no clear correlation with Satisfaction (SAT). Some contributions are discussed in this study, both theoretically and practically.

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Publication Details

Journal
Jurnal Sistem Informasi
Published
2024-10-11
DOI
https://doi.org/10.21609/jsi.v20i2.1417
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.35
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article

Examining Students’ Motivation to Continue Using AI-Chatbot for Academic Assignment

Puspita Kencana Sari, Yusza Reditya Murti, Ferdhy Ramadan
1 citations
Jurnal Sistem Informasi
AI in Service Interactions
0.35
article

Examining Students’ Motivation to Continue Using AI-Chatbot for Academic Assignment

Puspita Kencana Sari, Yusza Reditya Murti, Ferdhy Ramadan
article en
1 citations

Abstract

This study focuses on the motivations of engaged Indonesian university students who frequently utilize the AI-chatbot to assist them with their academic work. This research modifies Post-Acceptance of Information System Continue model with the ECT (Expectation Confirmation Theory) and TAM (Technology Acceptance Model) to explore constructs to determine what motivates students to continue using the emerging AI-chatbot, namely BING. The findings revealed a positive and substantial correlation between Perceived Information Quality (PEIQ), Confirmation (CON), Perceived Usefulness (PEU), Perceived Enjoyment (PEE), Satisfaction (SAT), and Continue Intention (COI). Confirmation (CON) has a significant impact on how usefulness and enjoyment BING is perceived, which influences Satisfaction and the decision to continue using BING. Confirmation (CON) and Perceived Ease of Use (PEEOU) have no clear correlation with Satisfaction (SAT). Some contributions are discussed in this study, both theoretically and practically.

Jurnal Sistem InformasiVol. 20(2)
Telkom University (ID)
Openalex Percentile: Top 33%
AI in Service Interactions
0.35
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