The DOI matches its Crossref record; 90 of the 93 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · cited 1×
“Hu and Bentler (1999) suggested that TLI and CFI should be greater than or equal to 0.90 to indicate good suitability, and RMSEA and SRMR should be less than 0.06 and 0.08, respectively.”
BackgroundInfluentialTabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · cited 3×
“The TAM was first proposed by Davis (1989) on the basis of the theory of reasoned action (TRA) advanced by Fishbein and Ajzen (1975), which is used to explain the associations between the students’ technology acceptance of computer system, behavioral intention, and definite behavior of technology…”
BackgroundMethodUser Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · cited 2×
“Venkatesh et al. (2003) expanded the TAM with empirical research by adding such factors as social influence, cognitive structure, and experience and the factor of subjective norm that had not been adopted in the original TAM.”
Background(2013) · Cited by 44,563
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941 · cited 1×
“In this study, structural equation modeling was used, and a two-stage approach to data analysis was adopted (Anderson and Gerbing, 1988).”
Method(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior
Deci, E. L., & Ryan, R. M. (2000) · Psychological Inquiry · doi:10.1207/s15327965pli1104_01 · Cited by 34,210 · cited 2×
“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).”
BackgroundUser Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709 · cited 13×
“According to Teo et al. (2015, p.78), “attitude toward technology use has been examined in various models that attempt to explain individuals’ intention for technology use, including Technology Acceptance Model (TAM; Davis et al., 1989), TAM2 (Venkatesh and Davis, 2000), and Unified Theory of Acceptance and Use of Tec…”
BackgroundMethodInfluentialSelf-efficacy: the exercise of control
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1826 · Cited by 24,451
Flagged first, then by citations
3 of the 93 references couldn’t be matched to a known paper.
Research works printed but not linked: 8
- Bandura, 1986, Social foundations of thought and action: A social cognitive theory.
- Carmines, 1981, Analyzing models with unobserved variables: analysis of covariance structures, 65
- Elliot, 2017, Achievement goals, 43
- Knowles, 1975, Self-directed learning: A guide for leaners and teachers.
- Knowles, 2015, The adult learner: The definitive classic in adult education and human resource development (Vol. 8).
- Kop, 2011, New dimension of self-directed learning in an open-networked learning environment, International Journal of Self-Directed Learning, 7, 1
- Oxford, 2009, The influence of technology on second language writing, 9
- Schunk, 2009, Self-efficacy theory, 35
Cited by
Sorted by citations
Items 101–200 of 329
Peng, C., Zhang, Z., Zhang, J., Zhang, J., Zhang, Z., Liu, Y., Jia, R., & Xu, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1719970 · Cited by 8
“Research confirmed that college students’ technology acceptance is positively associated with both learning self-eÿcacy and the development of self-directed learning competencies (Pan, 2020).”
Kaya, D., Kutluca, T., & Dağhan, G. (2024) · International e-Journal of Educational Studies · doi:10.31458/iejes.1355282 · Cited by 7
Sadam, N. Y. S., & Mamun, M. A. A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35977 · Cited by 7
“More recently, Pan [61] indicated that students ’ self-efficacy affected their attitude toward technology-based learning.”
BackgroundArif, T. Z. Z. A., Kurniawan, D., Handayani, R., Hidayati, H., & Armiwati, A. (2024) · The Electronic Journal of e-Learning · doi:10.34190/ejel.22.1.3063 · Cited by 11
“It is in line with a study conducted by Pan (2020) who found the influence of SE on PEoU, and self-efficacy showed higher attitude toward technology use in English learning.”
BackgroundResultInfluentialFrom tech to tact: emotion dysregulation in online communication during the COVID-19 pandemic
James, M. M., Koshkina, N., & Froese, T. (2023) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-023-09916-z · Cited by 9
“All of this limits their technological self-efficacy (Pan, 2020).”
BackgroundYulian, R., Yuniarti, Y., & Sirat, O. M. (2024) · Journal of Education Technology · doi:10.23887/jet.v7i4.64567 · Cited by 6
“Learners who have strong convictions can achieve desirable results because their positive attitudes drive their behaviour (Getie, 2020; Pan, 2020).”
BackgroundResultChou, C.-M., Shen, T.-C., & Shen, T.-C. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13469-w · Cited by 7
“Pan (2020) pointed out that learning motivation mediates between technology acceptance, technology self-efficacy, and attitudes toward technology-autonomous learning.”
Balaskas, S., Tsiantos, V. D., Chatzifotiou, S., Lourida, L., Rigou, M., & Komis, K. (2025) · Systems · doi:10.3390/systems13060412 · Cited by 9
Chiang, Y.-H., Huang, C.-S., Hung, L.-S., & Huang, T. (2025) · Innovations in Education and Teaching International · doi:10.1080/14703297.2025.2533390 · Cited by 7
“Students with higher DL are better prepared to explore emerging technologies independently, thereby enhancing AUM’s positive influence on engagement (Pan, 2020).”
Li, B., Zhang, Z., Lowell, V. L., Wang, C., & Bonk, C. J. (2025) · System · doi:10.1016/j.system.2025.103793 · Cited by 7
Afrianty, T., Raharjo, K., Prakasa, Y., & Abimanyu, A. (2025) · Cogent Business & Management · doi:10.1080/23311975.2025.2547085 · Cited by 3
“For instance, Zhang et al. (2017), Pan (2020), and Khoa (2023) demonstrated that self-efficacy is a critical determinant of individuals’ perceived ability to engage with emerging technologies. this connection is particularly relevant in Malang Raya, where many drivers may have limited exposure to…”
Hebibi, F., Runge, I., Scheiter, K., & Lazarides, R. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13795-z · Cited by 11
“This aligns with studies showing that teachers with high self-efficacy report more frequent technology usage (Al-Adwan et al., 2023; Anderson et al., 2011; Fathema et al., 2015; John, 2013; Pan, 2020).”
Zheng, Q., & Pan, X. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2547263 · Cited by 6
“Most of the conclusions drawn from many empirical studies indicate that students’ perceptions of the technological environment are an important factor influencing their academically relevant beliefs (Pan, 2020).”
InfluentialSelf-citationDutta, B. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2223821 · Cited by 5
“Pan (2020) explored that more foreign technology is compatible with the remaining technology; a more positive attitude can be derived.”
Ma, C., Wang, F., & Lv, Y. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12054-3 · Cited by 6
“…application acceptance model to empirically study the staff’s task-related Internet behaviors by comprehensively applying TAM (Chen et al., 2021; Pan, 2020; Sprenger & Schwaninger, 1 3 Education and Information Technologies (2024) 29:5283–5307 2021; Stephan et al., 2019) and Choo’s (1996)…”
Wang, D., Qiu, Q., Wang, L., Yu, J., & Ran, A. (2024) · Psychology in the Schools · doi:10.1002/pits.23294 · Cited by 6
The effect of social media engagement on telemedicine adoption: an empirical study
Dass, J., Yeravdekar, R., & Singh, A. (2024) · International Journal of Pharmaceutical and Healthcare Marketing · doi:10.1108/ijphm-08-2023-0072 · Cited by 6
Huang, X., Gao, X., Kim, S., & Ohno, S. (2024) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-024-00943-1 · Cited by 10
“This result contrasts with prior research, such as Pan (2020), which suggests that the intention to use ICT directly boosts learning motivation.”
Wang, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.849570 · Cited by 7
“…use are more likely to focus on tasks and enjoy tackling those tasks, thereby becoming motivated and more engaged in blended learning tasks (Albiladi and Alshareef, 2019), and subsequently developing a positive attitude toward the FL learning (Pan, 2020; Rafiee and Abbasian-Naghneh, 2021).”
BackgroundInfluentialTella, A. (2023) · Journal of Librarianship and Information Science · doi:10.1177/09610006231173690 · Cited by 6
“Sun and Gao (2020), Pan (2020), and Sun et al. (2016) noted that personality variables support intrinsic and extrinsic motives, which in turn influence internet entrepreneurial intention.”
Hidayat, H. (2025) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2025.15.1.2221 · Cited by 5
Wicaksono, A., Barunastra, F. I., Suhari, M. C. J. G., & Jingga, F. (2024) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i61595.2024.10829196 · Cited by 7
“Therefore, the willingness to use AI chatbots will also have an impact on the benefits that users will get [13].”
Ayık, Z., & Gül, M. D. (2025) · ASYA STUDIES · doi:10.31455/asya.1619664 · Cited by 5
Caratıquıt, K., & Javier, B. S. (2025) · Participatory Educational Research · doi:10.17275/per.25.31.12.3 · Cited by 5
Wang, F., & Pan, X. (2025) · Scientific Reports · doi:10.1038/s41598-025-03894-9 · Cited by 7
“…a theoretical foundation for the motivation process about individual self-determination behavior, stipulating that the environment enhances the internal motivation and promotes the internalization of the external motivation by satisfying the basic psychological needs of the individual” (p. 4) 9 .”
Self-citationBörekci, C., & Uyangör, N. (2025) · Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.25092/baunfbed.1596547 · Cited by 7
Luo, X., & Adelopo, I. A. (2025) · Accounting Education · doi:10.1080/09639284.2025.2586574 · Cited by 5
Lin, L., & Talib, M. A. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1702507 · Cited by 12
“In addition, technological self-efficacy was mentioned twice, underscoring the role of technology in learning motivation and the increasing focus on this area within educational technology research (Pan, 2020; Aboobaker et al., 2023).”
InfluentialWang, X., Wen, L., Fu, H., & Yin, Z. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-077205 · Cited by 5
Navarro, R., Baldeón, G., García, A., & Bernal, V. M. G. (2023) · Digital Education Review · doi:10.1344/der.2023.44.13-22 · Cited by 5
“Para recoger estas evidencias, próximas investigaciones pueden analizar correlaciones entre la aceptación de tecnologías e-learning y aprendizaje autodirigido (An, Xi, et al., 2022), autoeficacia tecnológica (Pan, 2020) o motivación al aprendizaje (An, Yu, et al., 2022).”
BackgroundDantes, G. R., Suryandani, P. D., Suwastini, N. K. A., Adnyani, N. L. P. S., & Suarcaya, P. (2022) · Jurnal Penelitian dan Pengembangan Sains dan Humaniora · doi:10.23887/jppsh.v6i2.50139 · Cited by 9
Sharma, S., & Saini, J. R. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2209787 · Cited by 6
“Pan (2020) addressed the attitude towards self-directed learning.”
Effects of Motivation on Chinese EFL Students to Read English Text on Social Media
Wang, Y. N., & Low, H. M. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12040-9 · Cited by 5
“Pan (2020) also regarded English learning motivation as a mediator to connect self-efficacy and English learning achievement.”
Navanitha, M., Savita, K. S., Arshad, N. I., Isawasan, P., Adams, D., Ahmat, N. H. C., & Shariman, T. P. N. T. (2022) · Journal of Hunan University Natural Sciences · doi:10.55463/issn.1674-2974.49.10.9 · Cited by 5
Flerlage, C., Bernholt, A., & Parchmann, I. (2023) · Chemistry Teacher International · doi:10.1515/cti-2022-0035 · Cited by 5
Yao, L., & Liu, Y. (2025) · Research Square · doi:10.21203/rs.3.rs-6289643/v1 · Cited by 16
Sam, M., & Franz, B. W. (2025) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2025.018 · Cited by 4
Karayianni, I., Klidas, A. K., & Karakitsou, C. (2025) · TechTrends · doi:10.1007/s11528-025-01124-7 · Cited by 8
“These attitudes are shaped by two key factors: perceived usefulness—the belief that technology enhances performance or facilitates tasks (Pan, 2020)—and ease of use.”
Shan, S., & Rasool, N. (2025) · International Journal of Sport and Exercise Psychology · doi:10.1080/1612197x.2025.2563307 · Cited by 4
“In sports education, educators with strong technological self-efficacy are more likely to integrate innovative tools – such as video analysis software, wearable tech for real-time data, and VR simulations – into their teaching (Pan, 2020).”
Siddiqi, K. O., Rahman, M. H., Rahman, J., & Rãdulescu, M. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105631 · Cited by 14
Kong, P. (2025) · European Journal of Education · doi:10.1111/ejed.70275 · Cited by 6
Wibowo, J., Hofmann, R., Brand, T., & Wiese, H. (2025) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2025.1653809 · Cited by 4
“In future studies, other components of professional competence, such as self-efficacy (58), teacher beliefs (59), and digital competences (60), might be considered to map learning outcomes.”
Li, K. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1716913 · Cited by 9
“Among the psychological constructs central to learning, self-efficacy and learning interest are consistently found to influence students’ academic behaviors and outcomes (Hanham et al., 2021; Lee et al., 2014; Pan, 2020).”
Cultivating self-directed learning abilities in K-12 students through immersive online virtual tours
Shadiev, R., Yi, S., & Altınay, F. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2024.2312923 · Cited by 5
“…learning equips individuals with the necessary skills, attitudes, and mindset to thrive in a rapidly changing world, fostering lifelong learning, independence, adaptability, critical thinking, and self-con fi dence (Pan, 2020; Rashid & Asghar, 2016; Song & Bonk, 2016; Sze-Yeng & Hussain, 2010).”
InfluentialLi, Y., Yang, Y., & Bao, S. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104661 · Cited by 5
Seo, H., da Silva, M. P., Jona, B., Iqbal, A., Burkett, K. M., Khan, H. U., & Carreño, A. U. (2025) · Online Media and Global Communication · doi:10.1515/omgc-2024-0060 · Cited by 5
“For example, previous research indicates that individuals who perceive a certain technology as e ffi cient, familiar, or useful are more likely to embrace it (Li 2023; Pan 2020).”
Optimizing sustainable urban mobility through digital integration
Ahmed, W. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.100879 · Cited by 4
Wei, F., & Hwang, B. (2025) · Journal of Management in Engineering · doi:10.1061/jmenea.meeng-6921 · Cited by 5
Palapa, A. (2023) · Jurnal Kependidikan Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan Pengajaran dan Pembelajaran · doi:10.33394/jk.v9i1.7074 · Cited by 4
“Independent learning activities do not only focus on cognitive aspects but also psychomotor aspects, where students with laboratory limitations can obtain additional material and practice through visualization available in CBT (Khiat, 2017; Pan, 2020).”
BackgroundAlam, S. S., Jannat, T., Lin, C. Y., Omar, N. A., & Ho, Y. H. (2024) · International Journal of Ethics and Systems · doi:10.1108/ijoes-03-2023-0064 · Cited by 6
Assessing the adoption and utilization of blockchain technology among software developers
Stojanović, T. D., Lazarević, S., Radenković, M., Naumović, T., & Miletić, A. (2024) · Facta universitatis - series Electronics and Energetics · doi:10.2298/fuee2401075s · Cited by 4
Hu, A., Chen, B., Liu, S., & Zhang, J. (2024) · Behavioral Sciences · doi:10.3390/bs14121187 · Cited by 7
“In this study, different from PU and PEU, which focus on the subjective perception of the devices, PSE emphasizes individual’s assessment of their competence to utilize digital displays [61].”
Fortuna, K. L., Brooks, J., Myers, A., Sivakumar, B., & Lebby, S. R. (2022) · Psychiatric Quarterly · doi:10.1007/s11126-022-09997-0 · Cited by 4
“Compatibility Beliefs in Technology has shown validity and reliability among users of a compatibility relationship management system [13].”
BackgroundBosch, C. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-1066-3.ch003 · Cited by 4
Acceptance and use of live streaming on metaverse in Vietnam: An analysis with the UTAUT2
Nguyen, A.-H. D., Pham, N.-U. T., Lin, P.-T., Dang, T.-Q., Tran, P.-T., Le, T.-T., Phan, T.-T. C., & Nguyen, L.-T. (2024) · Journal of Infrastructure Policy and Development · doi:10.24294/jipd.v8i8.6069 · Cited by 5
Measuring EFL Learners’ Perceptions of Technology Self-efficacy in Online Language Learning
Linh, T. T., Pham, T. N., & Ngo, P. A. (2024) · International Journal of Language Instruction · doi:10.54855/ijli.24334 · Cited by 5
“Similarly, Pan (2020) emphasized that learners' perceived TSE and acceptance of technology radically influenced their learning outcomes.”
BackgroundWiese, L. K., Luna, C. M., Cook, D. J., Minor, B., & Schmitter‐Edgecombe, M. (2025) · Educational Gerontology · doi:10.1080/03601277.2025.2449985 · Cited by 3
“Paper-and pencil surveys included the ‘Technology Self-Efficacy Questionnaire’ (Pan, 2020), ‘Computer Proficiency Questionnaire-12’ (CPQ-12; Boot et al., 2015), and the ‘Patient-Reported Outcomes Measurement Information System’ (PROMIS®)-Applied Cognition-SF8a.”
Yuliasih, N., Khoiry, Q. A., Alfian, S. D., Suwantika, A. A., & Abdulah, R. (2025) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s515295 · Cited by 6
“125 This implies that the effective adoption of HIS could be significantly improved by training initiatives to enhance health workers confidence in using system and by clearly communicating the benefits to increase motivation.”
Ba, S., Lu, G., Mendoza, N. B., Yang, Y. P., Pan, Z., & Wang, Y. (2025) · Journal of Educational Computing Research · doi:10.1177/07356331251396357 · Cited by 3
“Studies suggest that self-ef fi cacy mediates the relationship between LLM adoption and learning outcomes, with high self-ef fi cacy learners more likely to use LLMs strategically for problem-solving and knowledge construction (Shahzad et al., 2025; Pan, 2020; J. Liu, Hwang, et al., 2024).”
Wang, K., Li, H., Yu, G., Li, G., & Song, Y. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1662331 · Cited by 3
“…2020), system quality (Won et al., 2023), and perceived usefulness (Wang et al., 2022); self-eÿcacy is associated with multiple factors including role models (Kleppang et al., 2023), perceived environment (Wu et al., 2025), peer support (Lin et al., 2024), and technological factors (Pan, 2020).”
Zahrani, A. A. (2025) · IEEE Access · doi:10.1109/access.2025.3647788 · Cited by 3
Yu, H., Fu, Y., & Zhong, S. (2026) · Current Psychology · doi:10.1007/s12144-025-08937-y · Cited by 4
“In existing research, learning motivation is widely regarded as a key factor influencing both students’ behavior and their self-efficacy (Pan, 2020).”
User trust in AI and major tech companies in twelve countries
Cvetkovic, A., Savolainen, I., Celuch, M., Heiskari, M., Ruokosuo, E. S., Arriaga, P., Koike, M., & Oksanen, A. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2619648 · Cited by 4
“The role of self-efficacy has been studied, for example, in relation to work performance (Judge et al. 2007; Stajkovic and Luthans 1998), habit building (Stojanovic, Fries, and Grund 2021), general health (Dadipoor et al. 2021), and interactions with technologies (Pan 2020).”
Meishar‐Tal, H., & Amzalag, M. (2026) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2026.102246 · Cited by 5
The Preliminary Investigation on Micro-Credentials Practices in Malaysia
Navanitha, M., Savita, K. S., Arshad, N. I., Isawasan, P., Adams, D., Ahmat, N. H. C., & Shariman, T. P. N. T. (2022) · International Conference on Digital Transformation and Intelligence (ICDI) · doi:10.1109/icdi57181.2022.10007115 · Cited by 3
Canlas, I. P., Ceblano, M. V., Gayrama, V. P., & Panit, N. M. (2024) · Gender Technology and Development · doi:10.1080/09718524.2023.2270798 · Cited by 3
“At the same time, Pan (2020) found that technology-acceptance and self-efficacy predicted attitudes toward technology-based self-directed learning.”
BackgroundInfluentialWang, J., & Zhu, W.-H. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2353474 · Cited by 4
“Pan (2020) demonstrated that learning motivation mediated technology acceptance, technological self-efficacy, and students ’ attitudes toward technology-based self-directed learning.”
Exploring EFL Learners’ Technology Acceptance in Online Learning in Collaborative Education Programs
Chen, X., & Yang, Y. (2024) · Journal of Education Teaching and Social Studies · doi:10.22158/jetss.v6n2p195 · Cited by 3
Uştuk, Ö. (2024) · Language Teaching Research · doi:10.1177/13621688241254991 · Cited by 3
Factors affecting career motivation of recent graduates: Career adaptability as a mediator
Lin, M., Lim, P. K., Azalea, A., & Lee, M. C. C. (2024) · The Career Development Quarterly · doi:10.1002/cdq.12361 · Cited by 5
Homyamyen, P., Kulachai, W., Kurniawati, L., Khaowisade, T., & Thaiposri, W. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2500000 · Cited by 5
“Pan (2020) demonstrated that learning motivation significantly mediates the relationship between technology acceptance, technological self-efficacy, and students ’ attitudes toward technology-based self-directed learning, which subsequently influences learning achievement.”
Factors affecting EFL students’ behavioral intention to use AI in EFL writing development
Guo, J. (2025) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2025.2563695 · Cited by 8
“…the effectiveness of AI tools for L2 writing development – such as automated feedback systems or generative writing assistants – remains critically contingent on learners’ subjective attitudes and willingness to engage (Pan 2020; Vargas-Murillo, De La Asuncion Pari-Bedoya, and Guevara-Soto 2023).”
Adoption of digital marketing among farm tourism sites in the province of Quezon, Philippines
Orias, M. J. S., & Borbon, N. M. D. (2022) · International Journal of Research Studies in Management · doi:10.5861/ijrsm.2022.12 · Cited by 3
“In addition, the technological self-efficacy has a positive influence to people in the academe on technology acceptance and utilization of individual's control beliefs in technology use Pan (2020).”
BackgroundInfluentialBervell, B., Umar, I. N., Segbenya, M., Armah, J. K., Somuah, B. A., & Twum, R. (2022) · Online Journal of Communication and Media Technologies · doi:10.30935/ojcmt/12530 · Cited by 3
Herwanis, D., Zakaria, R., & Rusmiati, R. (2023) · Buletin Literasi Budaya Sekolah · doi:10.23917/blbs.v5i2.3095 · Cited by 3
Predicting Consumer Purchase Intention Through E-Catalogue: A Theory Of Planned Behavior Approach
Pusparini, P. A., Hartoyo, H., & Simanjuntak, M. (2024) · Jurnal Manajemen · doi:10.24912/jm.v28i2.1955 · Cited by 3
“There is a correlation between how one feels about one's abilities and how one feels about using technology-based self-directed learning (Pan, 2020).”
BackgroundYorman, Y., Miswaty, T. C., Adawiyah, R., Dewi, D. A., Ningsih, D. P., & Wardi, M. (2025) · Multidisciplinary Science Journal · doi:10.31893/multiscience.2025431 · Cited by 3
“Learning motivation serves as a mediating mechanism that explains the relationship between students' perceptions of the creativity of a technological environment and their attitudes toward a self-directed independent learning curriculum (Pan, 2020).”
Kılıç, E., & Çelik, H. E. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100452 · Cited by 9
Meera, B., Fields, B., Hodge, S. R., Roth, K., & Columna, L. A. (2024) · Journal of Mixed Methods Research · doi:10.1177/15586898241306785 · Cited by 2
“Recognizing the impact of social factors on technology adoption (Pan, 2020), parents ’ perspectives on interventions for autistic children are emphasized.”
Singh, D., Malik, G., & Kaur, A. (2025) · Journal of Public Affairs · doi:10.1002/pa.70055 · Cited by 2
Maryam, Z., Rehman, A. U., Nawal, A., Shoaib, M., & Ullah, I. (2025) · Journal of International Students · doi:10.32674/rv7pqq16 · Cited by 2
Liu, F., Nah, S., LaPlaca, L., & DeFelice, C. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2590580 · Cited by 3
“For example, concerns over privacy and transparency on AI-driven news platforms have been shown to reduce user interaction and acceptance (Pan, 2020).”
Guo, X. (2026) · Journal of Accounting Education · doi:10.1016/j.jaccedu.2026.101004 · Cited by 4
Exploring Chinese EFL teachers’ adoption of generative AI: the roles of social influence and AI-PACK
Huang, F., Wang, Y., & Tang, Z. (2026) · Journal of China Computer-Assisted Language Learning · doi:10.1515/jccall-2025-0035 · Cited by 2
“However, due to its parsimony, researchers need to incorporate variables, such as internal psychological factors and external contextual variables, to expand its explanatory power (Dehghani and Mashhadi 2024; Pan 2020; Uluda ğ et al. 2025).”
Perceived Risk and Trust Towards Health Chatbots: Extending TAM with Self-Efficacy
Song, L., Liu, J., Yasin, M., & Mokhtar, M. M. (2026) · Information · doi:10.3390/info17050439 · Cited by 2
Wang, M., Zhao, X., Huang, K., Li, X., Downey, L. E., Hassounah, S., Liu, X., Jin, Y., & Ren, M. (2026) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2026.101875 · Cited by 3
“We examined two domain-specific forms of self-efficacy: technology self-efficacy, 8–10 defined as confidence in learning and using digital health tools (e.g., navigating apps, entering data, troubleshooting), and health self-efficacy, 11,12 defined as confidence in managing one’s health tasks…”
Zhang, M., 刘, 磊., & Pan, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1858642 · Cited by 2
“Items adapted from Pan (2020) and Bandura (1997) emphasized efficacy in dynamic teaching contexts ( α = 0.940).”
InfluentialSelf-citationFactors affecting Virtual Team Performance: A Theoretical Integration
Weerawardane, S. D., & Jayawardana, A. K. L. (2022) · Journal of Management and Research · doi:10.29145/jmr/91/08 · Cited by 2
“Further, Vankatesh and Davis (1996; as cited in Pan, 2020) stated that technology self-efficacy could be considered as a proxy of an individual’s control beliefs in the use of technology.”
BackgroundJean, P., Murphy, E., & Bates, E. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-35992-7_65 · Cited by 2
Natalie, H. (2023) · The Korean Association of General Education · doi:10.46392/kjge.2023.17.6.107 · Cited by 4
“This greatly motivates students to use a given technology, particularly for self-directed learning (Pan, 2020).”
BackgroundYaakub, N. A., Ramli, N. M., Muhamed, N. A., Aziz, S. A., & Tahir, A. M. (2023) · Journal of Information System and Technology Management · doi:10.35631/jistm.833019 · Cited by 2
Gupta, M., & Nagar, K. (2025) · Global Business Review · doi:10.1177/09721509241308348 · Cited by 5
Research on the Application of AIGC in Short Video Creation
Ouyang, W., & Hu, X. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93536-7_11 · Cited by 2
Developing a model to explain teacher effectiveness: the mediating role of gamification
Gejandran, P., & Abdullah, N. B. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2521154 · Cited by 6
“A positive attitude toward technology is positively related to the chances that a teacher will adopt new methods, such as gamification, while a negative attitude results in resistance to change and a lack of interest in testing new forms of approach, pointed out by Pan (2020).”
Mensah, L. K., Bronteng, J. E., & Nyamekye, E. (2025) · Discover Education · doi:10.1007/s44217-025-00505-7 · Cited by 2
“These results underscore the compelling role of individual perceived sense of capabilities in line with the use of technology [52, 53].”
Investigating Teachers’ Changing Perceptions Towards MOOCs Through the Technology Acceptance Model
Camilleri, P., Watted, A., & Tonna, M. A. (2025) · Education Sciences · doi:10.3390/educsci15101395 · Cited by 2
“Changes in self-efficacy and perceptions towards technology complement each other and, understanding the relationship between self-efficacy and perceptions towards technology has important implications for educators, trainers, and policymakers (Pan, 2020).”
Kepatuhan Pelaporan E-Faktur 3.0 Berdasarkan Persepsi Efikasi Diri, Kebermanfaatan, dan Kemudahan
Felani, M. R., & Fidiana, F. (2022) · Jurnal Kajian Akuntansi · doi:10.33603/jka.v6i1.5675 · Cited by 2
PENGARUH TECHNOLOGY ACCEPTANCE TERHADAP USER EXPERIENCE DALAM PENGGUNAAN SMARTPHONE
Ratnasari, L., & Majorsy, U. (2022) · Jurnal Sosial Humaniora dan Pendidikan · doi:10.56127/jushpen.v1i2.163 · Cited by 2
Do you feel prepared? EFL learners’ readiness for online learning and self-directed learning ability
Genç, G., Kutlu, M. N., & Kırmızıbayrak, Ö. (2024) · Contemporary Educational Technology · doi:10.30935/cedtech/14332 · Cited by 3
Browne, S. H., Umlauf, A., Moore, D. J., Benson, C. A., & Vaida, F. (2024) · JMIR mhealth and uhealth · doi:10.2196/53596 · Cited by 3
“…acceptance models has underscored the importance of understanding how personal attitudes contribute to behavioral intention on technology use [36-41], particularly how perceived ease of use and utility influences individuals’ willingness to adopt and continue to use a given technology [39].”
Background
Metadata
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review