Integrating Critical Thinking and Digital Literacy into Technology Acceptance for Online Counseling: A PLS-SEM Study among Muslim University Students

Authors

  • Zadrian Ardi Universitas Negeri Padang, Indonesia
  • Ganefri Ganefri Universitas Negeri Padang, Indonesia
  • Ade Herdian Putra Universitas Negeri Padang, Indonesia
  • Hendra Hidayat Universitas Negeri Padang, Indonesia
  • Abna Hidayati Universitas Negeri Padang, Indonesia

DOI:

https://doi.org/10.25217/0020258725500

Keywords:

Academic Performance, Critical Thinking, Digital Literacy, Higher Education, Muslim University Students, Online Counseling, Technology Acceptance

Abstract

The rapid development of digital platforms has transformed the landscape of counseling services in higher education, creating an urgent need to understand their acceptance, especially among Muslim university students in Indonesia. This study aimed to examine the influence of critical thinking and academic performance on technology acceptance in online counseling, with a focus on the mediating role of digital literacy. Using a quantitative approach, data were collected through purposive random sampling from 815 Muslim university students (49 % male; 51% female) at Universitas Negeri Padang and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The study employed validated scales for critical thinking, academic performance, digital literacy, and technology acceptance, all of which showed high reliability (Cronbach’s alpha > 0.90). The findings supported the proposed hypotheses, showing that both critical thinking and academic performance significantly influenced digital literacy and technology acceptance. Digital literacy also acted as a significant mediator linking these variables to technology acceptance, confirming its central role in the model. These results underscore the importance of fostering digital competence and academic readiness in promoting effective adoption of online counseling services. The study highlights the need for culturally sensitive digital interventions that align with the ethical and spiritual values of Muslim university students.

References

AbdulKareem, A. K., & Oladimeji, K. A. (2024). Cultivating the digital citizen: trust, digital literacy and e-government adoption. Transforming Government: People, Process and Policy, 18(2), 270–286. https://doi.org/10.1108/TG-11-2023-0196

Afthanorhan, A., Ghazali, P. L., & Rashid, N. (2021). Discriminant Validity: A Comparison of CBSEM and Consistent PLS using Fornell & Larcker and HTMT Approaches. Journal of Physics: Conference Series, 1874(1), 12085. https://doi.org/10.1088/1742-6596/1874/1/012085

Almulla, M. A. (2023). Constructivism learning theory: A paradigm for students’ critical thinking, creativity, and problem solving to affect academic performance in higher education. Cogent Education, 10(1), 2172929. https://doi.org/10.1080/2331186X.2023.2172929

Alshurafat, H., Al Shbail, M. O., Masadeh, W. M., Dahmash, F., & Al-Msiedeen, J. M. (2021). Factors affecting online accounting education during the COVID-19 pandemic: an integrated perspective of social capital theory, the theory of reasoned action and the technology acceptance model. Education and Information Technologies, 26(6), 6995–7013. https://doi.org/10.1007/s10639-021-10550-y

Arbulú Pérez Vargas, C. G., Moreno Muro, J. P., Pérez Delgado, J. W., Espino Carrasco, D. K., Fernández Cueva, A., & Acosta-Enriquez, B. G. (2024). Mediating role of digital skills and mobile self-efficacy in the stress and academic engagement of Peruvian university students in postpandemic virtual environments. BMC Psychology, 12(1), 481. https://doi.org/10.1186/s40359-024-01982-5

Békés, V., Aafjes-van Doorn, K., Luo, X., Prout, T. A., & Hoffman, L. (2021). Psychotherapists’ Challenges With Online Therapy During COVID-19: Concerns About Connectedness Predict Therapists’ Negative View of Online Therapy and Its Perceived Efficacy Over Time. Frontiers in Psychology, 12, 705699. https://doi.org/10.3389/fpsyg.2021.705699

Caratozzolo, P., Alvarez-Delgado, A., & Sirkis, G. (2021). Fostering Digital Literacy through Active Learning in Engineering Education. Proceedings - Frontiers in Education Conference, FIE, 2021-Octob, 1–6. https://doi.org/10.1109/FIE49875.2021.9637304

Chocarro, R., Cortiñas, M., & Marcos-Matás, G. (2023). Teachers’ attitudes towards chatbots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics. Educational Studies, 49(2), 295–313. https://doi.org/10.1080/03055698.2020.1850426

Collins, C., Broglia, E., & Barkham, M. (2025). Evaluating the evidence base for university counseling services and their effectiveness using CORE measures: A systematic review and meta-analysis. Journal of Affective Disorders, 372, 451–462. https://doi.org/10.1016/j.jad.2024.12.022

Creswell, J. W. (2009). Research Design Qualitative Quantitative and Mixed Methods Approaches. Sage publications.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. J Manag Sci, 35(8), 982–1003.

Duong, C. D., Vu, T. N., & Ngo, T. V. N. (2023). Applying a modified technology acceptance model to explain higher education students’ usage of ChatGPT: A serial multiple mediation model with knowledge sharing as a moderator. International Journal of Management Education, 21(3), 100883. https://doi.org/10.1016/j.ijme.2023.100883

Emmelkamp, P. M. G., & Meyerbröker, K. (2021). Virtual Reality Therapy in Mental Health. Annual Review of Clinical Psychology, 17(1), 495–519. https://doi.org/10.1146/annurev-clinpsy-081219-115923

Faturohman, T., Kengsiswoyo, G. A. N., Harapan, H., Zailani, S., Rahadi, R. A., & Arief, N. N. (2021). Factors influencing COVID-19 vaccine acceptance in Indonesia: An adoption of Technology Acceptance Model. F1000Research, 10, 476. https://doi.org/10.12688/f1000research.53506.2

Garavand, A., Aslani, N., Nadri, H., Abedini, S., & Dehghan, S. (2022). Acceptance of telemedicine technology among physicians: A systematic review. Informatics in Medicine Unlocked, 30, 100943. https://doi.org/10.1016/j.imu.2022.100943

Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/10.1016/j.rmal.2022.100027

Hair, J. F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021). Executing and interpreting applications of PLS-SEM: Updates for family business researchers. Journal of Family Business Strategy, 12(3), 100392. https://doi.org/10.1016/j.jfbs.2020.100392

Halpern, D. F., & Dunn, D. S. (2021). Critical Thinking: A Model of Intelligence for Solving Real-World Problems. Journal of Intelligence, 9(2), 22. https://doi.org/10.3390/jintelligence9020022

Han, Y., Yang, S., Han, S., He, W., Bao, S., & Kong, J. (2025). Exploring the relationship among technology acceptance, learner engagement and critical thinking in the Chinese college-level EFL context. Education and Information Technologies, 1–24. https://doi.org/10.1007/s10639-025-13375-1

Hanham, J., Lee, C. B., & Teo, T. (2021). The influence of technology acceptance, academic self-efficacy, and gender on academic achievement through online tutoring. Computers and Education, 172, 104252. https://doi.org/10.1016/j.compedu.2021.104252

Hanley, T., & Wyatt, C. (2021). A systematic review of higher education students’ experiences of engaging with online therapy. Counselling and Psychotherapy Research, 21(3), 522–534. https://doi.org/10.1002/capr.12371

Hannan, E., & Liu, S. (2023). AI: new source of competitiveness in higher education. Competitiveness Review, 33(2), 265–279. https://doi.org/10.1108/CR-03-2021-0045

Hwang, Y., & Oh, J. (2021). The relationship between self-directed learning and problem-solving ability: The mediating role of academic self-efficacy and self-regulated learning among nursing students. International Journal of Environmental Research and Public Health, 18(4), 1–9. https://doi.org/10.3390/ijerph18041738

Kabakus, A. K., Bahcekapili, E., & Ayaz, A. (2023). The effect of digital literacy on technology acceptance: An evaluation on administrative staff in higher education. Journal of Information Science, 01655515231160028. https://doi.org/10.1177/01655515231160028

Kara, M. (2022). Revisiting online learner engagement: exploring the role of learner characteristics in an emergency period. Journal of Research on Technology in Education, 54(S1), S236–S252. https://doi.org/10.1080/15391523.2021.1891997

Kolbe, L., Jaywant, A., Gupta, A., Vanderlind, W. M., & Jabbour, G. (2021). Use of virtual reality in the inpatient rehabilitation of COVID-19 patients. General Hospital Psychiatry, 71, 76–81. https://doi.org/10.1016/j.genhosppsych.2021.04.008

Law, K. M. Y., & Geng, S. (2019). How innovativeness and handedness affect learning performance of engineering students? International Journal of Technology and Design Education, 29(4), 897–914. https://doi.org/10.1007/s10798-018-9462-3

Lee, Y. F., Hwang, G. J., & Chen, P. Y. (2022). Impacts of an AI-based chabot on college students’ after-class review, academic performance, self-efficacy, learning attitude, and motivation. Educational Technology Research and Development, 70(5), 1843–1865. https://doi.org/10.1007/s11423-022-10142-8

Levin, I., & Mamlok, D. (2021). Culture and society in the digital age. Information (Switzerland), 12(2), 1–13. https://doi.org/10.3390/info12020068

Lin, Y., & Yu, Z. (2023). Extending Technology Acceptance Model to higher-education students’ use of digital academic reading tools on computers. International Journal of Educational Technology in Higher Education, 20(1), 34. https://doi.org/10.1186/s41239-023-00403-8

Mao, C. M., & Hovick, S. R. (2022). Adding Affordances and Communication Efficacy to the Technology Acceptance Model to Study the Messaging Features of Online Patient Portals among Young Adults. Health Communication, 37(3), 307–315. https://doi.org/10.1080/10410236.2020.1838106

Martín-Raugh, M., Kell, H., Ling, G., Fishtein, D., & Yang, Z. (2023). Noncognitive skills and critical thinking predict undergraduate academic performance. Assessment and Evaluation in Higher Education, 48(3), 350–361. https://doi.org/10.1080/02602938.2022.2073964

Mater, N. R., Haj Hussein, M. J., Salha, S. H., Draidi, F. R., Shaqour, A. Z., Qatanani, N., & Affouneh, S. (2022). The effect of the integration of STEM on critical thinking and technology acceptance model. Educational Studies, 48(5), 642–658. https://doi.org/10.1080/03055698.2020.1793736

Mitchell, S. L. (2023). The Work of College Counseling Centers in the Early 21st Century. American Psychologist, 78(9), 1125–1136. https://doi.org/10.1037/amp0001249

Morina, N., Kampmann, I., Emmelkamp, P., Barbui, C., & Hoppen, T. H. (2023). Meta-analysis of virtual reality exposure therapy for social anxiety disorder. Psychological Medicine, 53(5), 2176–2178. https://doi.org/10.1017/S0033291721001690

Moussa, N. M., & Asender, S. A. (2022). A Comparative Study Of College Counseling Preferences: Face-To-Face Vs. Online Counseling. Journal of Positive School Psychology, 2022(11), 133–146. http://journalppw.comhttps//orcid.org/0000-0003-1342-8201

Muhammad, R. (2024). The Effectiveness of Technology to Improve Educational Counseling Services: A Systematic Literature Review. Journal of Teaching and Learning, 18(2), 111–127. https://doi.org/10.22329/jtl.v18i2.8709

Naidoo, P., & Cartwright, D. (2022). Where to from Here? Contemplating the Impact of COVID-19 on South African Students and Student Counseling Services in Higher Education. Journal of College Student Psychotherapy, 36(4), 355–369. https://doi.org/10.1080/87568225.2020.1842279

Nikou, S., De Reuver, M., & Mahboob Kanafi, M. (2022). Workplace literacy skills—how information and digital literacy affect adoption of digital technology. Journal of Documentation, 78(7), 371–391. https://doi.org/10.1108/JD-12-2021-0241

Novella, J. K., Ng, K. M., & Samuolis, J. (2022). A comparison of online and in-person counseling outcomes using solution-focused brief therapy for college students with anxiety. Journal of American College Health, 70(4), 1161–1168. https://doi.org/10.1080/07448481.2020.1786101

Oh, S. S., Kim, K. A., Kim, M., Oh, J., Chu, S. H., & Choi, J. Y. (2021). Measurement of digital literacy among older adults: Systematic review. Journal of Medical Internet Research, 23(2), e26145. https://doi.org/10.2196/26145

Peng, D., & Yu, Z. (2022). A Literature Review of Digital Literacy over Two Decades. Education Research International, 2022(1), 2533413. https://doi.org/10.1155/2022/2533413

Pilav-Velić, A., Černe, M., Trkman, P., Wong, S. I., & Kadić-Abaz, A. (2021). Digital or innovative: Understanding “Digital Literacy–practice–innovative work behavior” chain. The South East European Journal of Economics and Business, 16(1), 107–119.

Potyrała, K., & Tomczyk, Ł. (2021). Teachers in the lifelong learning process: examples of digital literacy. Journal of Education for Teaching, 47(2), 255–273. https://doi.org/10.1080/02607476.2021.1876499

Profetto-McGrath, J. (2003). The relationship of critical thinking skills and critical thinking dispositions of baccalaureate nursing students. Journal of Advanced Nursing, 43(6), 569–577. https://doi.org/10.1046/j.1365-2648.2003.02755.x

Ramachandran, H. J., Jiang, Y., Teo, J. Y. C., Yeo, T. J., & Wang, W. (2022). Technology Acceptance of Home-Based Cardiac Telerehabilitation Programs in Patients With Coronary Heart Disease: Systematic Scoping Review. Journal of Medical Internet Research, 24(1), e34657. https://doi.org/10.2196/34657

Rivas, S. F., Saiz, C., & Almeida, L. S. (2023). The Role of Critical Thinking in Predicting and Improving Academic Performance. Sustainability (Switzerland) , 15(2), 1527. https://doi.org/10.3390/su15021527

Sabrina, R., Akrim, A., Hartanto, D., & Dalle, J. (2023). Role of Perceived Religious Values to Facilitate Predictors of Public Trust in Government: The Case of a Muslim-Majority Culture. Journal of Ethnic and Cultural Studies, 10(3), 169–189. https://doi.org/10.29333/ejecs/1776

Saif, N., Khan, S. U., Shaheen, I., Alotaibi, A., Alnfiai, M. M., & Arif, M. (2024). Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism. Computers in Human Behavior, 154, 108097. https://doi.org/10.1016/j.chb.2023.108097

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. In Handbook of Market Research. Springer Nature. https://doi.org/10.1007/978-3-319-57413-4_15

Sawrikar, V., & Mote, K. (2022). Technology acceptance and trust: Overlooked considerations in young people’s use of digital mental health interventions. Health Policy and Technology, 11(4), 100686. https://doi.org/10.1016/j.hlpt.2022.100686

Setiawan, D., Junaidi, Marzal, J., Zulfanetti, & Fitri, L. E. (2024). Integrating Religiosity with Technology Acceptance Model (TAM) and Technology Organization Environment (TOE) Frameworks: A Study on ICT Adoption in Micro and Small Enterprises. Pakistan Journal of Commerce and Social Sciences, 18(3), 651–675. https://doi.org/10.2139/ssrn.4987568

Srijundaree, P., Yurayat, P., & Nipanan, P. (2024). Factors Influencing Acceptance and Use of Online Counseling Technology among Thai Psychologists and Mental Health Counsellors. Islamic Guidance and Counseling Journal, 7(1). https://doi.org/10.25217/0020247451200

Stoumpos, A. I., Kitsios, F., & Talias, M. A. (2023). Digital Transformation in Healthcare: Technology Acceptance and Its Applications. International Journal of Environmental Research and Public Health, 20(4), 3407. https://doi.org/10.3390/ijerph20043407

Sutiani, A., Situmorang, M., & Silalahi, A. (2021). Implementation of an Inquiry Learning Model with Science Literacy to Improve Student Critical Thinking Skills. International Journal of Instruction, 14(2), 117–138. https://doi.org/10.29333/iji.2021.1428a

Tinmaz, H., Lee, Y. T., Fanea-Ivanovici, M., & Baber, H. (2022). A systematic review on digital literacy. Smart Learning Environments, 9(1), 21. https://doi.org/10.1186/s40561-022-00204-y

Tomczyk, Ł., & Potyrała, K. (2021). Parents’ knowledge and skills about the risks of the digital world. South African Journal of Education, 41(1). https://doi.org/10.15700/saje.v41n1a1833

Usman, H., Mulia, D., Chairy, C., & Widowati, N. (2022). Integrating trust, religiosity and image into technology acceptance model: the case of the Islamic philanthropy in Indonesia. Journal of Islamic Marketing, 13(2), 381–409. https://doi.org/10.1108/JIMA-01-2020-0020

Velez-Cruz, R. J., & Holstun, V. P. (2022). Pandemic impact on higher education faculty self-care, burnout, and compassion satisfaction. Journal of Humanistic Counseling, 61(2), 118–127. https://doi.org/10.1002/johc.12174

Wang, J., Yuan, G. F., Shi, X., Tang, A., & Shi, W. (2022). Factors influencing attitudes toward cyber-counseling among China’s Generation Z: A structural equation model. Archives of Psychiatric Nursing, 40, 124–131. https://doi.org/10.1016/j.apnu.2022.07.011

Wu, R., & Yu, Z. (2024). Investigating Users’ Acceptance of the Metaverse with an Extended Technology Acceptance Model. International Journal of Human-Computer Interaction, 40(19), 5810–5826. https://doi.org/10.1080/10447318.2023.2241295

Xin, Y., Weina, H., & Yan, D. (2025). Digital literacy impacts quality of life among older adults through hierarchical mediating mechanisms. Scientific Reports, 15(1), 19288. https://doi.org/10.1038/s41598-025-04472-9

Yulia, D., Permata, M., & Anwar, M. (2024). Analysis of Critical Thinking Skills on the Use of Augmented Reality with the TAM Approach. Journal of Engineering and Collaborative Learning (IJECL), 1(1), 18–24.

Zaid, B., Fedtke, J., Shin, D. D., El Kadoussi, A., & Ibahrine, M. (2022). Digital Islam and Muslim Millennials: How Social Media Influencers Reimagine Religious Authority and Islamic Practices. Religions, 13(4), 335. https://doi.org/10.3390/rel13040335

Downloads

Published

2026-01-04

How to Cite

Ardi, Z., Ganefri, G., Putra, A. H., Hidayat, H., & Hidayati, A. (2026). Integrating Critical Thinking and Digital Literacy into Technology Acceptance for Online Counseling: A PLS-SEM Study among Muslim University Students. Islamic Guidance and Counseling Journal, 9(1). https://doi.org/10.25217/0020258725500