Cited by 149Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationTechnology-Enhanced Education Studies

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index; none of the 19 sources its claims cite is checked for support yet.

Students’ attitudes towards using ChatGPT as a learning tool: the case of the University of Jordan.

Open access
O. Ajlouni, Aseel, Abd-Alkareem Wahba, Fatima, Salem Almahaireh, Abdallah·2023·International Journal of Interactive Mobile Technologies (iJIM)

Abstract

This research aims to examine students’ attitudes toward using ChatGPT as a learning tool using a quantitative approach with a descriptive study design. For data collection, researchers have developed attitude measures that utilize the ABC model, which encompasses three components of attitudes (affective, cognitive, and behavioral). The study was conducted among a random sample of 623 undergraduates who enrolled at the University of Jordan, consisting of 476 females and 147 males. The results of the descriptive statistics indicate that there is a high level of positive attitude toward utilizing ChatGPT as a learning tool. Furthermore, the findings confirm moderate affective and high behavioral and cognitive components of attitudes toward using ChatGPT as a learning tool among undergraduate students. A proportion of respondents (73.2%) agreed on the potential ability of ChatGPT to facilitate the learning process. In comparison, 20.7% of the study participants raised apprehensions regarding the precision of the data produced by ChatGPT, while an equivalent percentage (20.7%) reported feeling uncomfortable utilizing the platform; conversely, 14.6% of those surveyed acknowledged experiencing anxiety when unable to access ChatGPT’s services. The results of this study encourage decision-makers and educators at the University of Jordan to incorporate ChatGPT into curricula and instructional practices, considering student concerns and the risk of misuse.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This descriptive quantitative study surveyed 623 undergraduates at the University of Jordan in May 2023 to assess attitudes toward ChatGPT as a learning tool using an ABC-model attitude scale. Students showed a high overall positive attitude (mean 3.74), with high cognitive and behavioral components but only moderate affective attitudes.

Key findings

  • Overall ATUC mean was 3.74 (SD 1.03), indicating a highly positive attitude toward using ChatGPT as a learning tool.
  • Subscale means were affective 3.65 (moderate), cognitive 3.77 (high), and behavioral 3.81 (high).
  • 73.2% agreed that ChatGPT can facilitate the learning process; 20.7% were concerned about the accuracy of ChatGPT-generated data; 20.7% reported feeling uncomfortable using the platform; 14.6% reported anxiety when unable to access ChatGPT services.
  • The sample included 476 females and 147 males; 51% were humanities majors and 49% scientific majors; 50.1% reported beginner technological skills, 34.3% intermediate, and 10.8% advanced.

Methods

  • Quantitative descriptive design using an online self-administered questionnaire distributed in May 2023 during the second semester of 2022–2023 at the University of Jordan.
  • Random sample of 623 undergraduates from a population of 40,188; 690 students were sent the questionnaire link via Microsoft Teams, email, and Moodle, yielding a 90% response rate.
  • Instrument: 27 items, including 5 demographic items and the 22-item ATUC scale based on the ABC model, with affective (7 items), cognitive (8 items), and behavioral (7 items) subscales on a 5-point Likert scale. Validity was assessed by 10 experts and a pilot study of 80 students; Cronbach’s alphas were 0.86 affective, 0.92 cognitive, 0.92 behavioral, and 0.96 total. Analysis used descriptive statistics in SPSS version 23.

Limitations

  • Stated by the paper: the study included only undergraduate students at one public university in Jordan’s capital metropolitan area, with a sample of 623; the authors call for similar studies across diverse cohorts and for exploring additional concerns such as addiction.
  • Evident from the text: the design is cross-sectional and self-report, so it cannot establish causality or track attitude change over time; the paper itself notes that attitudes toward information technology can change over time.
  • Evident from the text: although described as random sampling, recruitment was voluntary via online platforms, which may introduce self-selection bias.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3991/ijim.v17i18.41753

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

22 Own result · 18 Not checked yet · 11 Own method · 8 Own interpretation · 3 No basis given

Verify all 19 references — free account
  • It may state two separate claims as one. 23
  • Probably not a substantial claim. 17
  • The quote only partly states this claim. 2
34 of 34
  • The paper relies on this without support.

    The population of undergraduate students at the University of Jordan during the second semester of the academic year 2022-2023 was 40,188.

    “The population of this research was 40188 students, which are all undergraduates who enrolled at the University of Jordan during the second semester of the academic year 2022-2023.”
  • The paper relies on this without support.

    Non-response bias is negligible; the 90% response rate did not bias the sample.

    “623 questionnaires were returned, with a response rate of 90%.”
  • The paper relies on this without support.

    The study is the first to evaluate undergraduates' attitudes regarding utilizing ChatGPT as a learning tool.

    “The uniqueness of this study is that it is the first to evaluate undergraduates' attitudes regarding utilizing ChatGPT as a learning tool.”
  • The paper relies on this without support.

    The absence of a study that investigated students' attitudes towards ChatGPT emphasized the need to replicate this study on a different population.

    “Further, the absence of a study that investigated students' attitudes towards ChatGPT emphasized the need to replicate this study on a different population.”
  • The paper relies on this without support.

    The significance of this study lies in the influence of attitudes on the adoption and incorporation of technology, particularly in the realm of education.

    “The significance of this study lies in the influence of attitudes on the adoption and incorporation of technology, particularly in the realm of education.”
  • The paper relies on this without support.

    Implementing ChatGPT enables uninterrupted communication throughout the day, enhancing student involvement by offering adaptable and confidential communication avenues that cater to the student's requirements.

    “Implementing this technology enables uninterrupted communication throughout the day, enhancing student involvement by offering adaptable and confidential communication avenues that cater to the student's requirements.”
  • The paper relies on this without support.

    Instant messaging systems facilitate improved student communication, enabling them to participate in more meaningful dialogues, respond to inquiries requiring elaboration, and receive prompt support.

    “Furthermore, instant messaging systems facilitate improved student communication, enabling them to participate in more meaningful dialogues, respond to inquiries requiring elaboration, and receive prompt support.”
7 of 7

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2 of 2

Citations

Cites

Show all 75 references

Research works printed but not linked: 9

  1. A. Alharbi, A. Alsalami, and A. AlanzI, "Chat with ChatGPT on Industry 5.0: Learning and decision-making for intelligent industries," Journal of Control and Intelligent Systems, vol. 7, no. 1, pp. 25-36, 2022. https://doi.org/10.1000/1234567 · DOI
  2. A.B. Smith and C.D. Johnson, "Is Chat GPT Biased against Conservatives? An empirical study," Journal of Artificial Intelligence Research, vol. 65, pp. 573-592, 2022. https://doi. org/10.1613/jair.1.0345 · DOI
  3. J.D. Jones and K.L. Smith, "A conversation on Artificial Intelligence, Chatbots, and Plagiarism in higher education," Journal of Higher Education, vol. 93, no. 1, pp. 42-56, 2022. https://doi.org/10.1080/00221546.2022.2012345 · DOI
  4. A.O. Ajlouni and S.M. Rawadieh, "Technophobia and Technophilia among Undergrad- uates: Cross-national Research in Jordan, Qatar, and Egypt," Journal of Social Studies Education Research, vol. 13, no. 4, pp. 24-55, 2022.
  5. International Conference on Artificial Intelligence in Education. (2019, May 19). UNESCO. Retrieved from https://ar.unesco.org/events/lmwtmr-ldwly-bshn-twzyf-ldhk- lstny-fy-ltlym
  6. N.M.S. Surameery and M.Y. Shakor, "Use Chatgpt to solve programming bugs," International Journal of Information Technology & Computer Engineering (IJITC), vol. 3, no. 01, pp. 17-22, 2023. https://doi.org/10.55529/ijitc.31.17.22 · DOI · Paper page
  7. V. Jain, "3D model of attitude," International Journal of Advanced Research in Management and Social Sciences, vol. 3, no. 3, pp. 1-12, 2014.
  8. P. Bii, J. Too, and R. Langat, "An investigation of student's attitude towards use of chatbot technology in instruction: The case of Knowie in a selected high school," International Research Journals, vol. 4, no. 10, pp. 710-716, 2013.
  9. C. Baker, "Quantitative research designs: Experimental, quasi-experimental, and descrip- tive," Evidencebased practice: An integrative approach to research, administration, and practice, pp. 155-183, 2017.

Cited by

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Metadata

Authors
O. Ajlouni, A., Abd-Alkareem Wahba, F., & Salem Almahaireh, A.
Venue
International Journal of Interactive Mobile Technologies (iJIM)
Published
2023-09-20
Volume
17
Issue
18
Pages
99-117
ISSN
1865-7923 (ISSN-L)
OpenAlex
W4386897099
Cited by
116
References
75
Citations by year
2026: 19 · 2025: 47 · 2024: 49 · 2023: 1
FWCI
27.18
Type
journal article
Language
en
Open access
Locations
International Journal of Interactive Mobile Technologies (iJIM) (publishedVersion, cc-by)
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Social Sciences › Education › Technology-Enhanced Education Studies
Keywords
ChatGPT, student attitudes, generative AI in education, learning tools, ABC model of attitudes, undergraduate students, AI anxiety, AI misuse, University of Jordan

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