Technology Acceptance, Technological Self-Efficacy, and Attitude Toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator
Open accessAbstract
This study explored the contribution of technology acceptance and technological self-efficacy to attitude toward technology-based self-directed learning in a sample of Chinese undergraduate students. The study also inquired into whether learning motivation mediated these associations. A total of 332 undergraduate students of college English course were enrolled to participate in questionnaires regarding their technology acceptance, technological self-efficacy, attitude toward technology-based self-directed learning, and learning motivation. Results indicated that students' technology acceptance and technological self-efficacy were related to their attitude toward technology-based self-directed learning. The findings also indicated that learning motivation mediated the relations of technology acceptance, technological self-efficacy, and attitude toward technology-based self-directed learning. Specifically, students experiencing greater technology acceptance and technological self-efficacy showed higher attitude toward technology-based self-directed learning. This study highlighted the significance of learning motivation as a mediating mechanism illustrating relations between students' perception of technology environments and their attitude toward technology-based self-directed learning.
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SE was widely acknowledged as an essential predictor of students' technology acceptance because it influences cognitive processing, emotional stability, and perceived ability to manage new technologies.
“SE was widely acknowledged as an essential predictor of students’ technology acceptance because it influences cognitive processing, emotional stability, and perceived ability to manage new technologies [58,59].”
From Advancing Undergraduate Student Mental Healthcare of Social Anxiety Disorder: Evaluating the Acceptance of AR-Assisted Cognitive Behavioral Therapy Through TAM-Based Constructs. (2026) · cites this paper as [59]
The Literature Review (Technology Acceptance and Technological Self-Efficacy; page not available) describes technological self-efficacy as an important determinant of technology-use intentions and reports a positive influence on technology acceptance. It also defines the construct in terms of students’ perceived ability to use technology. The cited passages do not establish the claimed explanation through cognitive processing or emotional stability. (LLM, conf=0.85)
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“As such, in the educational field, technology acceptance is considered as a prerequisite for learners to adopt information technology to promote learning (Hsieh et al., 2017).”
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“According to Deci and Ryan (2000), intrinsic motivation helps to construct students’ experience of pleasure, enjoyment, and satisfaction, which in turn would further motivate their learning engagement (Dysvik and Kuvaas, 2013).”
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“Using this theory and analysis method, later in the educational landscape, there were studies that verified and explained the intention of students’ technology use (Teo, 2011) and the research of students’ independent use of technology for language learning (Lai, 2013), etc.”
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“Researchers have found that undergraduate students do adopt technology for learning (Inozu et al., 2010), but their use of technologies often lacks sufficient effectiveness (Kennedy and Miceli, 2010).”
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“Specifically, students perceiving the convenience and availability in their interactive learning process report higher motivation, engagement, and persistence in learning (Wentzel et al., 2010; Tas, 2016).”
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“These findings confirmed that external technology environment is a critical element for triggering students’ learning motivation (Chen, 2020).”
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“Learning Motivation as a Mediator Between the Technology Acceptance and Technological Self-Efficacy and Attitude Toward Technology-Based Self-Directed Learning Learning motivation is the sum of the incentives that positively force the choice of a specific behavior or purpose (Jarvis, 2005).”
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“…students’ utilization of technology for learning, including competency in technology use (Kennedy et al., 2008), perceived usefulness of technology (Goodyear and Ellis, 2008; Teo, 2011), perception of the utility of technological resources (Clark et al., 2009), and the scaffolding available in…”
BackgroundLearner Autonomy and New Learning Environments
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BackgroundModeling Key Drivers of E-Learning Satisfaction among Student Teachers
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An Investigation of Students' Attitudes and Motivations Toward Online Learning
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User Acceptance on Mobile Apps as an Effective Medium to Learn Kadazandusun Language
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“Previous studies have discussed learners’ acceptance of different types of technology, such as mobile technology (Pindeh et al., 2016; Nikou and Economides, 2017), computer-based communication technology (Park et al., 2014), social media (Hsieh et al., 2017), and MOOCS courses (Joo et al., 2018).”
BackgroundExploring how student motivation relates to acceptance and participation in MOOCs
Romero‐Frías, E., Montaño, J. L. A., & del Barrio‐García, S. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2020.1799020 · Cited by 58 · see citing works
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A "Uses and Gratification Expectancy Model" to Predict Students' "Perceived e-Learning Experience"
Mondi, M., Woods, P., & Rafi, A. (2008) · Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University) · Cited by 55 · see citing works
Rotgans, J. I., & Schmidt, H. G. (2012) · International journal on teaching and learning in higher education · Cited by 50 · see citing works
An integrated framework for theories of individual attitudes toward technology
Tate, M., Evermann, J., & Gable, G. G. (2015) · Information & Management · doi:10.1016/j.im.2015.06.005 · Cited by 48 · cited 1× · see citing works
“As such, Tate et al. (2015) posed the concern that current theories are deficient in constructs that could better annotate students’ behavioral intention on technology use from the perspective of attitude.”
BackgroundThe nature of language learning experiences beyond the classroom and its learning outcomes
Julide, Inozu, Sehnaz, Sahinkarakas, Hülya, & Yumru (2010) · Acta Scientiarum Naturalium Universitatis Sunyatseni · Cited by 43 · see citing works
Kim, D., Lee, I., & Park, J. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12746 · Cited by 41 · cited 1× · see citing works
“In the pace of network communication technology, the research on self-directed learning in open educational resource repositories via the use of information technology and the Internet (such as MOOCs and online courses) has also received great concern (Kim et al., 2019).”
BackgroundSecond Language Teaching and Learning in the Net Generation.
Oxford, R., & Oxford, J. T. (2009) · Cited by 40 · see citing works
Gan, Z. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00496 · Cited by 40 · cited 1× · see citing works
“…perspective, individual motivation is defined as the degree of autonomy that individuals display during learning activity, and it falls into two major motivational orientations: (1) self-determined forms of intrinsic motivation; and (2) controlled forms of extrinsic motivation (Gan, 2020, p. 3).””
BackgroundThe nature of language learning experiences beyond the classroom and its learning outcomes
İnözü, J., Şahinkarakaş, Ş., & Yumru, H. (2010) · Cited by 31 · see citing works
Greener, S. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2020.1712105 · Cited by 27 · see citing works
Hubbard, P. L., & Romeo, K. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139060981.003 · Cited by 22 · cited 1× · see citing works
“…such as computer literacy, technological facilitating conditions, have been viewed as a prerequisite for learners’ effective use of technology (Hubbard and Romeo, 2012); on the other hand, learners’ willingness to engage in technology use for self-directed learning has been highlighted ((Kop…”
BackgroundReinders, H., & Darasawang, P. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139060981.004 · Cited by 21 · cited 1× · see citing works
“Thereby, it is indispensable that language learners are equipped with the competence to engage in technology-based selfdirected learning (Benson and Reinders, 2011; Reinders and Darasawang, 2012).”
BackgroundEffects of Computer Self Efficacy on the Use and Adoption of Online Social Networking
Mew, L., & Money, W. H. (2010) · International Journal of Virtual Communities and Social Networking · doi:10.4018/jvcsn.2010010102 · Cited by 19 · cited 2× · see citing works
“…students’ technological learning motivation is reflected in their mastery and familiarity of technical skills, as is consistent with the study from Mew and Honey (2010), which indicated that technological learning motivation significantly influences students’ intention to use online learning…”
BackgroundResultGonzales, R. D. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.2746285 · Cited by 13 · cited 1× · see citing works
“Significantly, related studies have conformed to the positive and strong associations between intrinsic motivation and extrinsic motivation (Gonzales, 2011).”
BackgroundVanderStouwe, C. (2013) · Language in Society · doi:10.1017/s0047404513000390 · Cited by 6 · see citing works
Flagged first, then by citations
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Cited by
Sorted by citations
Li, K. (2023) · Sustainability · doi:10.3390/su15065221 · Cited by 157 · see citing works
Al‐Adwan, A. S., Yaseen, H., Alsoud, A. R., Abousweilem, F., & Al-Rahmi, W. M. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10758-y · Cited by 145 · see citing works
“It represents learners’ ownership and responsibility for their learning as it reflects their personal autonomy in handling and controlling their learning objectives (Pan, 2020).”
BackgroundChen, D., Liu, W., & Liu, X. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104442 · Cited by 156 · see citing works
Liu, Y., Li, Y., Song, K., & Chu, F. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.103875 · Cited by 138 · see citing works
Shata, A., & Hartley, K. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00511-7 · Cited by 127 · see citing works
“For example, perceived ease of use was associated with self-efficacy in undergraduate students engaged in technol-ogy-supported self-directed learning (Pan, 2020).”
Mustofa, R. H., Kuncoro, T. G., Atmono, D., Hermawan, H. D., & Sukirman, S. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100379 · Cited by 166 · see citing works
Falebita, O. S., & Kok, P. J. (2024) · Journal for STEM Education Research · doi:10.1007/s41979-024-00132-1 · Cited by 142 · see citing works
“Studies have proven the presence of an interaction between attitude toward technology and the adoption of AI, which was mostly found to be positive (Adelana et al., 2024; Ayanwale & Ndlovu, 2024; Cai et al., 2017; Kwak et al., 2022; Obenza et al., 2024; Pan, 2020).”
InfluentialWang, Q., Gao, Y., & Wang, X. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2400403 · Cited by 111 · see citing works
“In contrast, students with high technology or online self-efficacy beliefs show more self-regulated learning strategies, motivation, confidence, engagement, and satisfaction (Pan, 2020; Namaziandost & C¸akmak, 2020).”
A Systematic Review of Machine-Translation-Assisted Language Learning for Sustainable Education
Deng, X., & Yu, Z. (2022) · Sustainability · doi:10.3390/su14137598 · Cited by 103 · see citing works
“Students recognizing the benefits of greater technology use possessed a higher level of learning motivation, thus facilitating students’ technology-based self-directed learning [26].”
BackgroundEşiyok, E., Gökçearslan, Ş., & Küçükergi̇n, K. G. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2303557 · Cited by 122 · see citing works
“The technology acceptance level and technological self-efficacy among students are also related to their attitudes toward SDLT (Pan, 2020).”
Fu-hai, A., Xi, L., & Yu, J. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11959-3 · Cited by 132 · see citing works
“The present results echo previous studies documenting technology acceptance, technological self-efficacy, and self-regulated learning (Pan, 2020).”
Álvarez-Risco, A., Del-Aguila-Arcentales, S., Rosen, M. A., & Yáñez, J. A. (2022) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc8030142 · Cited by 93 · see citing works
“In one model, self-efficacy is influenced by a person’s specific abilities, other individual factors, and environmental factors [68,69].”
BackgroundWu, D., Zhang, S., Ma, Z., Yue, G. X.-G., & Dong, R. K. (2024) · Systems · doi:10.3390/systems12090332 · Cited by 127 · see citing works
Chou, C.-M., Shen, T.-C., Shen, T.-C., & Shen, C.-H. (2022) · Education and Information Technologies · doi:10.1007/s10639-021-10866-9 · Cited by 114 · see citing works
“From the viewpoint of self-directed learning theory, students should have the self-ability of "ICT skills" and "ICT cognition", manifested in the self-assessment of AI information technology, transformation of learning needs and goals, selection of efficient strategies, and the ability to collect and evaluate (Loeng,…”
BackgroundPeng, M. Y., Xu, Y., & Xu, C. (2022) · Heliyon · doi:10.1016/j.heliyon.2023.e13302 · Cited by 81 · see citing works
Jiang, M. Y., Jong, M. S., Lau, W. W. F., Meng, Y.-L., Chai, C. S., & Chen, M. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.671615 · Cited by 71 · see citing works
“…computer-and internet-related ability to carry out specific tasks and it has been concluded in many reviews and empirical studies that ICT self-efficacy plays an integral role in a computer-mediated learning environment (e.g., Moos and Azevedo, 2009; Kumar et al., 2020; Pan, 2020; Zheng and Li, 2020).”
BackgroundEducational UTAUT-based virtual reality acceptance scale: a validity and reliability study
Üstün, A. B., Yılmaz, F. G. K., & Yılmaz, R. (2022) · Virtual Reality · doi:10.1007/s10055-022-00717-4 · Cited by 71 · see citing works
“The rule of thumb that a factor load should be at least 0.30 in the relevant factor was followed in order for each item to be kept on the scale (Pallant 2005).”
InfluentialCamacho-Sánchez, R., Rillo-Albert, A., & Burgués, P. L. (2022) · Applied Sciences · doi:10.3390/app122111214 · Cited by 59 · see citing works
Artificial intelligence tools utilized in nursing education: incidence and associated factors
Jallad, S. T., Alsaqer, K., Albadareen, B. I., & Al-maghaireh, D. (2024) · Nurse Education Today · doi:10.1016/j.nedt.2024.106355 · Cited by 58 · see citing works
Chen, M., Jeronen, E. K., & Wang, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18158217 · Cited by 57 · see citing works
Wagiran, W., Suharjana, S., Nurtanto, M., & Mutohhari, F. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e11160 · Cited by 78 · see citing works
“Research from (de Barba et al., 2016; Pan, 2020; Wang et al., 2021) reports that motivation plays a signi fi cant role in mediating the indirect effect of digital technology capabilities and supporting equipment on e-learning readiness.”
Pan, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1000069 · Cited by 68 · see citing works
Self-citationHuang, L., & Zhao, Y. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1669247 · Cited by 55 · see citing works
“Moreover, faculty members’ level of technology acceptance may moderate the extent to which AI literacy supports psychological need fulfillment (Pan, 2020).”
Al‐Hattami, H. M. (2025) · The International Journal of Management Education · doi:10.1016/j.ijme.2025.101131 · Cited by 45 · see citing works
Zhao, Z., An, Q., & Liu, J. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1619391 · Cited by 72 · see citing works
“Pan (2020) demonstrated that college students who were more confident in using tech were more open to trying AI tools, Liwanag and Galicia (2023) emphasized AI’s role in promoting self-directed learning, and Masry-Herzallah and Watted (2024) highlighted the positive effect of AI on engaging with…”
Ndebele, C., & Mbodila, M. (2022) · Education Sciences · doi:10.3390/educsci12010054 · Cited by 54 · see citing works
Fu-hai, A., Xi, L., Yu, J., & Zhang, M. (2022) · Sustainability · doi:10.3390/su141610390 · Cited by 50 · see citing works
Kang, S., Choi, Y., & Kim, B. (2024) · Social Sciences · doi:10.3390/socsci13090475 · Cited by 58 · see citing works
“Furthermore, personalized services significantly improve user experience and satisfaction because they are tailored to users’ individual needs and preferences (Pan 2020; Schmid and Dowling 2020; Kabalisa and Altmann 2021).”
Wang, S., Sun, Z., Wang, H., Yang, D., & Zhang, H. (2025) · The International Journal of Management Education · doi:10.1016/j.ijme.2025.101184 · Cited by 51 · see citing works
Pan, X., & Chen, W. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.751017 · Cited by 53 · see citing works
“Online learning, E-learning, M-learning and other informal technological learning approaches provide students with more chances to explore selfdirected learning ways (King and He, 2006; Zandi et al., 2014; Hsu, 2016; Huang et al., 2020; Pan, 2020).”
BackgroundSelf-citationBarz, N., Benick, M., Dörrenbächer‐Ulrich, L., & Perels, F. (2024) · Discover Education · doi:10.1007/s44217-024-00195-7 · Cited by 40 · see citing works
The Mediating Effect of AI Trust on AI Self-Efficacy and Attitude Toward AI of College Students
Obenza, B. N., Baguio, J. S. I. E., Bardago, K. M. W., Granado, L. B., Loreco, K. C. A., Matugas, L. P., Talaboc, D. J., Zayas, R. K. D. D., Caballo, J. H. S., & Caangay, R. B. R. (2023) · International Journal of Metaverse · doi:10.54536/ijm.v2i1.2286 · Cited by 49 · see citing works
“In the interim, Pan (2020) .”
Ogegbo, A. A., Penn, M., Ramnarain, U. D., Pila, O. K., Westhuizen, C. V. D., Mdlalose, N., Moser, I., Hlosta, M., & Bergamin, P. B. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12664-5 · Cited by 35 · see citing works
“Studies have highlighted the role of technological self-efficacy, anxiety and attitude on the acceptance and actual usage of systems (Pan, 2020; Schlebusch, 2018).”
Qi, J., Liu, J., & Xu, Y.-R. (2025) · Behavioral Science · doi:10.3390/bs15030328 · Cited by 41 · see citing works
“Past studies have revealed that self‑directed learning ability is posi‑ tively associated with students’ usage behaviors of digital technologies, including GenAI tools (Esiyok et al., 2024; Gokcearslan, 2017; Pan, 2020).”
Mekheimer, M. A. A. G. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04947-0 · Cited by 62 · see citing works
“However, unlike some previous research (e.g. Pan 2020), our study suggests that the direct in fl uence of intrinsic motivation on satisfaction is less pronounced than that of technological self-ef fi cacy and the contextual factors shaping online learning environments.”
InfluentialLiu, Q., Tian, Q., Li, X., & Tan, H. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1690238 · Cited by 43 · see citing works
“Prior AI related studies on enterprise management concentrated on analyzing from one employee view, such as the AI adoption (Pan, 2020; Bakir et al., 2025) or AI awareness (Kong et al., 2024; Wang et al., 2022) on employee behavior from the perspective of individual employees.”
Al-khresheh, M. H., & Alkursheh, T. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-02783-2 · Cited by 32 · see citing works
Aldosari, A. M., Alramthi, S. M., & Eid, H. F. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.994403 · Cited by 31 · see citing works
“Technological self-efficacy is the conviction that one can successfully use technology to fulfill a learning task (Pan, 2020).”
BackgroundImjai, N., Nui-Suk, C., Usman, B., Somwethee, P., & Aujirapongpan, S. (2024) · Int. J. Inf. Manag. Data Insights · doi:10.1016/j.jjimei.2024.100301 · Cited by 32 · see citing works
Wang, Y., & Wang, H. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1477470 · Cited by 37 · see citing works
“This finding is consistent with the other works (Pan, 2020; Zaineldeen et al., 2020), which indicate that attitudes toward technology, while influential, are often overshadowed by more immediate contextual factors such as usability and perceived usefulness.”
Sukkamart, A., Pimdee, P., Leekitchwatana, P., Kongpiboon, W., & Kantathanawat, T. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1211594 · Cited by 27 · see citing works
“Table 5 details the correlation coefficient analysis results of the six latent variables (Pan, 2020).”
BackgroundImpact of technology self-efficacy on online learning effectiveness during the COVID-19 pandemic
Rahman, M. K., Bhuiyan, M. A., Hossain, M. M., & Sifa, R. (2023) · Kybernetes · doi:10.1108/k-07-2022-1049 · Cited by 27 · see citing works
Zhu, Y., Xu, Y., Wang, X., Yan, S., & Zhao, L. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.765832 · Cited by 26 · see citing works
“Regarding technology-based behavior, a number of meta-analyses have found that there is a good correlation between perceived behavioral control and the usefulness of certain technologies (Pan, 2020), which means that self-efficacy of technology is related to its usefulness.”
BackgroundWill Teacher-AI Collaboration Enhance Teaching Engagement?
Ding, L.-J., Li, J., & Hui, B.-H. (2025) · Behavioral Sciences · doi:10.3390/bs15070866 · Cited by 33 · see citing works
“Conversely, low technological self-efficacy may lead to avoidance of technology and decreased participation (Li et al., 2025b; Pan, 2020).”
Hameed, I., Mubarik, M. S., Khan, K., & Waris, I. (2022) · Human Behavior and Emerging Technologies · doi:10.1155/2022/4904686 · Cited by 24 · see citing works
“This tendency can be high for a few individuals and for some it is low [38].”
BackgroundNinghardjanti, P., Umam, M. C., Subarno, A., Winarno, W., Langgi, N. R., & Widodo, J. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1719625 · Cited by 42 · see citing works
Tian, Y., & Chan, T. J. (2024) · SAGE Open · doi:10.1177/21582440241292525 · Cited by 22 · see citing works
“Patil et al. (2020) assessed the association between behavioral intention and the actual use of mobile payments and demonstrated that behavioral intention drives the actual usage of users.”
InfluentialFactors influencing international students’ adoption of generative artificial intelligence
Ittefaq, M., Zain, A., Arif, R., Taufiq, A., Khan, M. L., & Seo, H. (2025) · Journal of International Students · doi:10.32674/fnwdpn48 · Cited by 29 · see citing works
Zhou, Y., Zhang, D., Guan, X., Pan, Q., Deng, S., & Yu, M. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03189-x · Cited by 22 · see citing works
Ibrahim, H. B., Zin, M. L. M., Aman‐Ullah, A., & Ghazi, M. R. M. (2023) · Kybernetes · doi:10.1108/k-01-2023-0018 · Cited by 22 · see citing works
Li, B., Wang, C., Bonk, C. J., & Kou, X. (2024) · TechTrends · doi:10.1007/s11528-024-00960-3 · Cited by 25 · see citing works
“Previous studies have emphasized the importance of learning motivation as a mechanism that illustrates the relationship between students’ perception of technology environments and their attitude toward technology-based SDL (Pan, 2020).”
Jallad, S. T., Natsheh, I., Helo, L. A., Ibdah, D. M., Salah, A., Muhsen, R., Shehadeh, Y., & Froukh, N. (2024) · BMC Nursing · doi:10.1186/s12912-024-02254-8 · Cited by 21 · see citing works
“Furthermore, students’ technological learning motivation is reflected in their mastery and familiarity with technical skills, thus significantly influencing their intention to use VR applications [71].”
BackgroundSun, L., & Zhou, L. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13236-3 · Cited by 25 · see citing works
“In the field of education, they are particularly important as they directly influence students’ willingness and effectiveness in using technology-assisted learning (Pan, 2020).”
Jacobs, C., Johnson, H., Tan, N., Brownlie, K., Joiner, R., & Thompson, T. (2025) · JMIR Medical Education · doi:10.2196/70766 · Cited by 20 · see citing works
“Learning motivation can be seen as a mediator between technological acceptance and self-efficacy on the task [35, 36].”
The STEAM learning performance and sustainable inquiry behavior of college students in China
Nong, L., Liao, C., Ye, J., Wei, C., Zhao, C., & Nong, W. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.975515 · Cited by 20 · see citing works
“In addition, students’ self-efficacy is related to the PU and PEOU of technology (Pan, 2020), through which learners can feel that technology is more useful and easier to use (Nur and Joviando, 2021).”
BackgroundConsumer’s acceptance of retail service robots: mediating role of pleasure and arousal
Alam, S., Abdullah, S., Kokash, H. A., Ahmed, S., & Omar, N. A. (2024) · Journal of Decision System · doi:10.1080/12460125.2024.2318527 · Cited by 20 · see citing works
Alhur, M., Caamaño-Alegre, J., & Reyes-Santías, F. (2024) · Digital Health · doi:10.1177/20552076241272567 · Cited by 19 · see citing works
Cui, Z., Song, Y., & Du, X. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1458899 · Cited by 32 · see citing works
“This notion aligns with findings from Pan (2020), who noted that individuals with a predisposition for physical activity tend to engage more with technological tools designed to enhance their workouts.”
ResultGong, Y., Xu, C., Luo, S., & Lin, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-03298-9 · Cited by 26 · see citing works
“Studies on students’ technological intentions have found a strong correlation between SE and SN 54,55 .”
Yoo, N., & Jang, S. H. (2023) · Digital Health · doi:10.1177/20552076231171503 · Cited by 22 · see citing works
Wiprayoga, P., & Widagda, K. I. G. N. J. A. (2023) · Russian Journal of Agricultural and Socio-Economic Sciences · doi:10.18551/rjoas.2023-08.06 · Cited by 18 · see citing works
Sense of belonging and grit in e-learning portal usage in higher education
Devisakti, A., & Ramayah, T. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2021.1983611 · Cited by 18 · see citing works
“Past research showed that learners have a positive attitude positively correlated with technology usage (Pan, 2020; Tatli et al., 2019).”
BackgroundResultEducational Technology in the Post-Pandemic Era: Current Progress, Potential, and Challenges
Zhang, Z., & Wasie, S. (2023) · International Conference on Education Technology and Computer · doi:10.1145/3629296.3629303 · Cited by 22 · see citing works
“On the students’ side, technology can enhance students’ self-directed learning abilities [52].”
BackgroundPlaying to learn: developing self-directed learning skills through serious games
Pacheco-Velazquez, E. A., Rodés, V., Glasserman‐Morales, L. D., & Carlos-Arroyo, M. (2024) · Journal of International Education in Business · doi:10.1108/jieb-08-2023-0054 · Cited by 17 · see citing works
Yao, Y., Wang, X., & Sun, K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0314306 · Cited by 23 · see citing works
“If the learning or operating process of a new technology is easy, they will perceive the AI image generator as a practical and valuable tool because they can easily use its various functions during use, thus increasing their perception of the software’s usefulness [45].”
Zhu, Y., & Siquan, X. (2025) · European Journal of Education · doi:10.1111/ejed.70160 · Cited by 23 · see citing works
Liwanag, M. F., & Galicia, L. S. (2023) · Technium Social Sciences Journal · doi:10.47577/tssj.v44i1.8980 · Cited by 16 · see citing works
“Furthermore, the study of Pan (2020) also proves that students experiencing greater technology acceptance and technological self-efficacy showed higher attitudes toward technology-based self-directed learning.”
BackgroundZhang, Y. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105452 · Cited by 15 · see citing works
Generative AI in Self-Directed Learning: a thematic scoping review
Roe, J., & Perkins, M. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2603431 · Cited by 46 · see citing works
Pan, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1028264 · Cited by 15 · see citing works
“…use and self-regulation (Pintrich and Schunk, 2002; Zusho et al., 2003) and that learning motivation functioned as a mediating mechanism illustrating relations between students’ perception of technology environments and their attitude toward technology-based self-directed learning (Pan, 2020).”
BackgroundSelf-citationPurnomo, E. N., Ali Imron, A. M., Wiyono, B. B., Sobri, A. Y., & Dami, Z. A. (2023) · Pegem Journal of Education and Instruction · doi:10.47750/pegegog.13.04.23 · Cited by 15 · see citing works
“According to the self-efficacy theory, a person’s perception of their ability to carry out particular activities impacts their emotional reactions and behavior (Pan, 2020).”
InfluentialChughtai, M. S., & Khalid, Y. (2022) · Journal of Innovative Research in Management Sciences · doi:10.62270/jirms.vi.24 · Cited by 17 · see citing works
Factors determining the use of e-learning and teaching satisfaction
Cazan, A., & Maican, C. I. (2022) · Comunicar · doi:10.3916/c74-2023-07 · Cited by 14 · see citing works
“…de los antecedentes más importantes del uso de las plataformas de e-learning y de la satisfacción de utilizarlas, © COMUNICAR, 74 (2023-1); e-ISSN: 1988-3293; OnlineFirst DOI: 10.3916/C74-2023-07 siendo los efectos directos de la autoeficacia positivos y significativos (Pan, 2020), apoyando la H1.”
BackgroundInfluentialPang, X., Zou, J., Zhang, X., Li, Y., Zhang, H., Wang, F., Zhang, Y., & Chen, X. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07826-z · Cited by 17 · see citing works
Modeling Student Acceptance of AI Technologies in Higher Education: A Hybrid SEM–ANN Approach
Saflor, C. S. (2025) · Future Internet · doi:10.3390/fi17120581 · Cited by 13 · see citing works
“This aligns with the “risk–benefit acceptability” model, which highlights that risk evaluations are influenced not only by personal beliefs but also by how risks and benefits are framed and communicated within one’s social environment [17].”
Wang, X., Chen, X., Wu, X., Lu, J. W., Xu, B., & Wang, H. (2023) · Sustainability · doi:10.3390/su151612454 · Cited by 12 · see citing works
Liu, J., Liu, Z., Wang, C., Li, X.-Y., & Xu, Y. (2023) · Current Psychology · doi:10.1007/s12144-023-05136-5 · Cited by 12 · see citing works
“Pan (2020) used structural equations to demonstrate the positive effect of technical self-efficacy on motivation among undergraduate English students.”
Fan, Q., Hoang, M.-N., DuBose, L., Ory, M. G., Vennatt, J., Salha, D., Lee, S., & Falohun, T. (2024) · JMIR Aging · doi:10.2196/55132 · Cited by 12 · see citing works
“In addition, an individual’s adoption of a technological intervention is greatly influenced by their perception of technology self-efficacy, which is defined as an individual’s confidence in applying a technology to perform a task [20-23].”
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Xu, J., Huang, S., Wu, C., Ren, Y., Li, Q., Cai, J., Wang, C., & Jiang, P. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e36698 · Cited by 12 · see citing works
“Previous studies have emphasized that independent learners should be motivated to learn, have clear goals, and be able to learn independently and continuously [21-23].”
BackgroundNurlaela, N., Irfan, A. M., Rahman, M. H., Putra, K. P., Mahmud, A., & Setialaksana, W. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13465-0 · Cited by 12 · see citing works
“These findings align with previous research, highlighting the importance of engaging in self-directed learning environments in fostering positive attitudes toward new technologies (An et al., 2022; Mentz & Van Zyl, 2016; Pan, 2020).”
Pirzado, F. A., Ahmed, A., Alipour, M. A., & Terashima‐Marín, H. (2025) · Journal of Computers in Education · doi:10.1007/s40692-025-00375-w · Cited by 16 · see citing works
“In educational environments, it might be understood as the inclination of students or learners to utilize or not use an application or specialized technology, depending on the degree to which they believe it would improve their study performance (Pan, 2020 ; Alfadda & Mahdi, 2021).”
Abhijith, P. S., & Antony Joseph, K. (2023) · International Journal of E-Business Research · doi:10.4018/ijebr.316146 · Cited by 11 · see citing works
Medici, G., Grote, G., Igic, I., & Hirschi, A. (2023) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2023.2197215 · Cited by 12 · see citing works
“So far, the influence of TSE has been explored for the use of technology in higher education and online classes (Huffman et al., 2013; Pan, 2020; Warden et al., 2020), and in healthcare (Rahman et al., 2016).”
BackgroundAl-Hammouri, Q., Ghaith, M. M., Abueita, J. D., Ababneh, E., Altaher, A. M., Al-Gasawneh, J. A., & Mansour, A. M. H. (2022) · Journal of Southwest Jiaotong University · doi:10.35741/issn.0258-2724.57.5.48 · Cited by 11 · see citing works
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ZHANG, Y. (. (2025) · Journal of Information Technology Education Research · doi:10.28945/5502 · Cited by 13 · see citing works
“Past studies have shown that when a technology is easy to use, users are more likely to perceive it as useful, which in turn enhances their overall attitudes toward adoption (Ashraf et al., 2014; Pan, 2020; Yao et al., 2024).”
Addai, P. (2025) · International Journal of Public Leadership · doi:10.1108/ijpl-04-2025-0073 · Cited by 10 · see citing works
Oluyinka, S. A., & Cusipag, M. N. (2021) · Acta Informatica Pragensia · doi:10.18267/j.aip.154 · Cited by 10 · see citing works
Lin, Y.-T., & Wang, T.-C. (2022) · Education Sciences · doi:10.3390/educsci12110764 · Cited by 10 · see citing works
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Seniors’ attitudes and intention toward IoT enabled healthcare devices in emerging economies
Malarvizhi, C. A., Mamun, A. A., Reza, M. N. H., & Yang, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-97507-0 · Cited by 8 · see citing works
“As expected, we found that individuals’ attitudes toward IoT-enabled healthcare devices significantly affect their intention to use them (H 7 ), which is consistent with earlier studies conducted by Svenningsson, Höst 61 and Pan 62 .”
Gibreel, O., Karataş, K., & Arpacı, İ. (2026) · Scientific Reports · doi:10.1038/s41598-026-46335-x · Cited by 12 · see citing works
Ermilinda, L., Handarkho, Y. D., & Emanuel, A. W. R. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.03.098 · Cited by 8 · see citing works
Büyük, U., & Çetingüney, H. (2025) · Batı anadolu eğitim bilimleri dergisi · doi:10.51460/baebd.1602705 · Cited by 7 · see citing works
Younas, M., El‐Dakhs, D. A. S., & Jiang, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-28433-4 · Cited by 15 · see citing works
- Authors
- Pan, X.
- Affiliations
- Zhejiang Normal University (CN)
- Corresponding author
- Pan, Xiaoquan
- ORCID
- Pan, Xiaoquan
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2020-10-27
- Volume
- 11
- Pages
- 564294-564294
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC7653185
- OpenAlex
- W3097042973
- Cited by
- 329
- References
- 93
- Citations by year
- 2026: 67 · 2025: 99 · 2024: 76 · 2023: 42 · 2022: 39 · 2021: 6
- FWCI
- 21.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministry of Education of the People's Republic of China
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Gender Studies › Gender and Technology in Education
- Social Sciences › Education › Online and Blended Learning
- Keywords
- technology acceptance, technology self-efficacy, student motivation, mediation, self-directed learning, undergraduate students, college English, Chinese students
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