Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism
The current study aims to establish a connection between students' behavioral concerns, namely stress and anxiety, related to the completion of academic tasks, and their integration of technology using the Technology Acceptance Model (TAM) through the utilization of Chat-GPT via ubiquitous lear...
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| Vydané v: | Computers in human behavior Ročník 154; s. 108097 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.05.2024
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| ISSN: | 0747-5632, 1873-7692 |
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| Abstract | The current study aims to establish a connection between students' behavioral concerns, namely stress and anxiety, related to the completion of academic tasks, and their integration of technology using the Technology Acceptance Model (TAM) through the utilization of Chat-GPT via ubiquitous learning (UL) procedure. To achieve this objective, data was collected from 156 students studying management science who were engaged in their final year research projects or internship reports from selected universities in Pakistan. The gathered data underwent analysis through Structural Equation Modeling (SEM) using Smart PLS software. The findings reveal a significant relationship: students' stress contributes to the emergence of anxiety, which in turn motivates the adoption of technology-assisted solutions, specifically Chat-GPT, to efficiently complete assigned tasks within deadlines working through any device from anywhere. Consequently, the perceived ease of use and usefulness associated with Chat-GPT's AI-generated text contribute to shaping students' favorable attitudes toward utilizing Chat-GPT and also play a role in reducing their stress levels. Furthermore, the study confirms that the development of a positive attitude in students acts as a driving force, compelling them to engage with Chat-GPT through ubiquitous learning (UL) procedure, ultimately resulting in increased actual usage of Chat-GPT. This pattern, in turn, contributes to stress and anxiety reduction among management science students. The study's outcomes corroborate the TAM model, which aligns with the social exchange process, demonstrating its applicability within the context of the educational setup in management sciences and its potential to enhance the learning experiences of researchers.
•The study applies the Technology Acceptance Model to understand chat-GPT use among students of Universities of Pakistan.•Psychological factors (stress & Anxiety) and technology use is investigated among university students.•Behavioral Factors, Ubiquitous learning, Chat GPT and TAM are aligned to understand human computer interaction.•Based on detail analysis novel approach related to Technology and Social Acceptance Model (TSAM) is proposed. |
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| AbstractList | The current study aims to establish a connection between students' behavioral concerns, namely stress and anxiety, related to the completion of academic tasks, and their integration of technology using the Technology Acceptance Model (TAM) through the utilization of Chat-GPT via ubiquitous learning (UL) procedure. To achieve this objective, data was collected from 156 students studying management science who were engaged in their final year research projects or internship reports from selected universities in Pakistan. The gathered data underwent analysis through Structural Equation Modeling (SEM) using Smart PLS software. The findings reveal a significant relationship: students' stress contributes to the emergence of anxiety, which in turn motivates the adoption of technology-assisted solutions, specifically Chat-GPT, to efficiently complete assigned tasks within deadlines working through any device from anywhere. Consequently, the perceived ease of use and usefulness associated with Chat-GPT's AI-generated text contribute to shaping students' favorable attitudes toward utilizing Chat-GPT and also play a role in reducing their stress levels. Furthermore, the study confirms that the development of a positive attitude in students acts as a driving force, compelling them to engage with Chat-GPT through ubiquitous learning (UL) procedure, ultimately resulting in increased actual usage of Chat-GPT. This pattern, in turn, contributes to stress and anxiety reduction among management science students. The study's outcomes corroborate the TAM model, which aligns with the social exchange process, demonstrating its applicability within the context of the educational setup in management sciences and its potential to enhance the learning experiences of researchers.
•The study applies the Technology Acceptance Model to understand chat-GPT use among students of Universities of Pakistan.•Psychological factors (stress & Anxiety) and technology use is investigated among university students.•Behavioral Factors, Ubiquitous learning, Chat GPT and TAM are aligned to understand human computer interaction.•Based on detail analysis novel approach related to Technology and Social Acceptance Model (TSAM) is proposed. |
| ArticleNumber | 108097 |
| Author | Khan, Sajid Ullah Shaheen, Imrab Arif, Mohammad Alnfiai, Mrim M. ALotaibi, Faiz Abdullah Saif, Naveed |
| Author_xml | – sequence: 1 givenname: Naveed surname: Saif fullname: Saif, Naveed organization: Institute of Management Sciences, University of Science and Technology Bannu, Pakistan – sequence: 2 givenname: Sajid Ullah surname: Khan fullname: Khan, Sajid Ullah organization: Department of Computer Science & IT, University of Lakki Marwat, Pakistan – sequence: 3 givenname: Imrab surname: Shaheen fullname: Shaheen, Imrab organization: University of Kotli AJK, Pakistan – sequence: 4 givenname: Faiz Abdullah surname: ALotaibi fullname: ALotaibi, Faiz Abdullah organization: Department of Information Science, College of Humanities and Social Sciences, King Saud University, Saudi Arabia – sequence: 5 givenname: Mrim M. surname: Alnfiai fullname: Alnfiai, Mrim M. organization: Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, 21944, Saudi Arabia – sequence: 6 givenname: Mohammad orcidid: 0000-0001-9687-1385 surname: Arif fullname: Arif, Mohammad email: mohammadarif911@gachon.ac.kr organization: Department of Computer Engineering, Gachon University, Seongnam-si, 13120, South Korea |
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