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Technology Acceptance, Technological Self-Efficacy, and Attitude Toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator
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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 [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]
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“Although previous studies highlighted the links of related variables of students’ technology acceptance (Teo, 2009; Lai, 2013), the other generating constructs (e.g., learning motivation) that may affect these associations have not been revealed.”
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“…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 supporting the technology-enhanced learning experience (McLoughlin and Lee, 2010).”
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Teo, T. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.008 · Cited by 914 · cited 5×
“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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Surveying instructor and learner attitudes toward e-learning
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“…language learning environment, learners’ perception and acceptance of emerging technologies are important factors that affect their effective learning (McLoughlin and Lee, 2010; Huang and Liaw, 2018) and also one of the core factors that affect self-directed learning (Liaw et al., 2007).”
BackgroundSocial supports from teachers and peers as predictors of academic and social motivation
Wentzel, K. R., Battle, A. A., Russell, S. L., & Looney, L. (2010) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2010.03.002 · Cited by 823 · cited 1×
“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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“In this study, the motivation factors described in Guilloteaux and Dörnyei (2008) and Kormos and Csizer (2014) were used, some of which were revised and developed in combination with the actual situation.”
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Song, L., & Hill, J. R. (2007) · Cited by 475
Joo, Y. J., So, H.-J., & Kim, N. H. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.01.003 · Cited by 420 · cited 1×
“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).”
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Lai, C., & Gu, M. M. (2011) · Computer Assisted Language Learning · doi:10.1080/09588221.2011.568417 · Cited by 399 · cited 2×
“Nevertheless, some researchers identified that learners’ active use of technology for language learning does not necessarily guarantee satisfactory outcomes (Lai and Gu, 2011) and does not really reflect a sound understanding of their effective use (Oxford, 2009; Kennedy and Miceli, 2010).”
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Nikou, S. A., & Economides, A. A. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.02.005 · Cited by 388 · cited 1×
“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).”
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“Researchers have verified a significant positive influence of technological self-efficacy on technology acceptance and utilization (Celik and Yesilyurt, 2013) and regarded technological self-efficacy as a proxy of individuals’ control beliefs in technology use (Venkatesh and Davis, 1996).”
BackgroundKormos, J., & Csizér, K. (2013) · TESOL Quarterly · doi:10.1002/tesq.129 · Cited by 354 · cited 1×
“In this study, the motivation factors described in Guilloteaux and Dörnyei (2008) and Kormos and Csizer (2014) were used, some of which were revised and developed in combination with the actual situation.”
MethodBenson, P., & Reinders, H. (2011) · Palgrave Macmillan UK eBooks · doi:10.1057/9780230306790 · Cited by 305
Teo, T. P. (2008) · Interactive Learning Environments · doi:10.1080/10494820802231327 · Cited by 299 · cited 1×
“In the TAM (Davis et al., 1989), individuals’ attitude toward using technology (Teo, 2010, 2012; Jan and Contreras, 2011) was significantly predicted by perceived usefulness and ease of use of technology, which was in turn hypothesized to affect their behavioral intention to use technology and…”
BackgroundInvestigating Determinants of Software Developers' Intentions to Follow Methodologies
Hardgrave, B. C., Davis, F. D., & Riemenschneider, C. K. (2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045751 · Cited by 280 · cited 1×
“%) demonstrated by this questionnaire survey highlighted the issue of educational compatibility, as previous studies have established compatibility as an important predictor of information system acceptance (Hardgrave et al., 2003; Liao and Lu, 2008).”
Understanding learner agency as a complex dynamic system
Mercer, S. (2011) · System · doi:10.1016/j.system.2011.08.001 · Cited by 280 · cited 1×
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BackgroundSelf-directed learning and distance education
Moore, M. (1986) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 256
What factors predict undergraduate students' use of technology for learning? A case from Hong Kong
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“Few previous studies exploring the relation between technology climate and students’ perceived attitude toward technology-based self-directed learning have been conducted in samples of students from Asian countries, especially China (e.g., Teo, 2009; Lai et al., 2012).”
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“…language learning environment, learners’ perception and acceptance of emerging technologies are important factors that affect their effective learning (McLoughlin and Lee, 2010; Huang and Liaw, 2018) and also one of the core factors that affect self-directed learning (Liaw et al., 2007).”
BackgroundBeyond Web 2.0: mapping the technology landscapes of young learners
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“…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 supporting the technology-enhanced learning experience (McLoughlin and Lee, 2010).”
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Teo, T. P. (2010) · Interactive Learning Environments · doi:10.1080/10494821003714632 · Cited by 235 · cited 1×
“In the TAM (Davis et al., 1989), individuals’ attitude toward using technology (Teo, 2010, 2012; Jan and Contreras, 2011) was significantly predicted by perceived usefulness and ease of use of technology, which was in turn hypothesized to affect their behavioral intention to use technology and…”
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“Technology-based self-directed learning, as an activity and event for learners to undertake their own learning responsibilities (Perry and Winne, 2006), not only entails the accessibility of technology but more importantly the acceleration of learning motivation.”
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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).”
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“Related studies also explored the relationship between learners’ technology acceptance and other variables, such as the relationship between technology acceptance and research constructs such as self-regulated learning, self-efficacy, and learning anxiety (Cho and Kim, 2013; Lai, 2013).”
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“The analysis of variance conducted to examine the mean differences between male and female in their decision to utilize technology for self-directed learning showed no significant gender differences, which is consistent with the previous study from Perse and Courtright (1993).”
ResultLevel of intrinsic motivation of distance education students in e‐learning environments
Fırat, M., Kılınç, H., & Yüzer, T. V. (2017) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12214 · Cited by 207
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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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An empirical analysis of the antecedents of web-based learning continuance
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“In the TAM (Davis et al., 1989), individuals’ attitude toward using technology (Teo, 2010, 2012; Jan and Contreras, 2011) was significantly predicted by perceived usefulness and ease of use of technology, which was in turn hypothesized to affect their behavioral intention to use technology and…”
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“Based on TAM and motivational and social-cognitive frameworks, Ifinedo (2017) identified that students’ intrinsic motivation and attitudes toward blog use significantly determined students’ intention to continuously utilize blogs for learning.”
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“SDT concentrates largely on how environments support or thwart people’s basic psychological needs for autonomy, competence, and relatedness (Jeno et al., 2019).”
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“…that perceived support from technology use is particularly relevant for students’ learning motivation and their attitude toward technology-based self-directed learning probably because they are confronted with the increasing technological modernity of the educational landscape (Lai et al., 2016).”
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Teo, T. P., Fan, X., & Du, J. (2015) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1672 · Cited by 164 · cited 1×
“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…”
BackgroundTechnological acceptance of LINE in flipped EFL oral training
Hsieh, J. C., Huang, Y., & Wu, W. V. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.066 · Cited by 154 · cited 2×
“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).”
BackgroundTechnology acceptance model for the use of information technology in universities
Jan, A. U., & Contreras, V. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.11.009 · Cited by 152 · cited 1×
“In the TAM (Davis et al., 1989), individuals’ attitude toward using technology (Teo, 2010, 2012; Jan and Contreras, 2011) was significantly predicted by perceived usefulness and ease of use of technology, which was in turn hypothesized to affect their behavioral intention to use technology and…”
BackgroundThe impact of online use of English on motivation to learn
Lamb, M., & Arisandy, F. E. (2019) · Computer Assisted Language Learning · doi:10.1080/09588221.2018.1545670 · Cited by 135 · cited 1×
“As a major psychological concept, motivation is widely believed to be an important factor contributing to students’ acquisition outcomes of second or foreign language (Lamb and Arisandy, 2019).”
BackgroundAdult learners' intention to adopt mobile learning: A motivational perspective
Hashim, K. F., Tan, F. B., & Rashid, A. (2014) · British Journal of Educational Technology · doi:10.1111/bjet.12148 · Cited by 134
Taş, Y. (2016) · European Journal of Psychology of Education · doi:10.1007/s10212-016-0303-z · Cited by 133 · cited 1×
“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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Lai, C. (2013) · Language learning & technology · doi:10.64152/10125/44326 · Cited by 132 · cited 6×
“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).”
BackgroundAR videos as scaffolding to foster students’ learning achievements and motivation in EFL learning
Chen, C. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.12902 · Cited by 116 · cited 1×
“These findings confirmed that external technology environment is a critical element for triggering students’ learning motivation (Chen, 2020).”
BackgroundThe psychology of effective learning and teaching
(2006) · Choice Reviews Online · doi:10.5860/choice.44-1657 · Cited by 111 · cited 2×
“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).”
BackgroundUniversity students’ approaches to learning: rethinking the place of technology
Goodyear, P., & Ellis, R. A. (2008) · Distance Education · doi:10.1080/01587910802154947 · Cited by 107 · cited 1×
“…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
Reinders, H., & White, C. (2011) · Language learning & technology · doi:10.64152/10125/44254 · Cited by 93 · cited 3×
“Thereby, it is indispensable that language learners are equipped with the competence to engage in technology-based self-directed learning (Benson and Reinders, 2011; Reinders and Darasawang, 2012).”
BackgroundModeling Key Drivers of E-Learning Satisfaction among Student Teachers
Teo, T., & Wong, S. L. (2013) · Journal of Educational Computing Research · doi:10.2190/ec.48.1.d · Cited by 77 · cited 1×
“Previous studies (e.g., Teo, 2011; Teo and Wong, 2013) highlighted that students’ beliefs on the utility of technology influenced attitude toward technology use.”
An Investigation of Students' Attitudes and Motivations Toward Online Learning
Knowles, E., & Kerkman, D. D. (2007) · InSight A Journal of Scholarly Teaching · doi:10.46504/02200708kn · Cited by 76
Exploring 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 65
User Acceptance on Mobile Apps as an Effective Medium to Learn Kadazandusun Language
Pindeh, N., Sukı, N. M., & Sukı, N. M. (2016) · Procedia Economics and Finance · doi:10.1016/s2212-5671(16)30139-3 · Cited by 59 · cited 1×
“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).”
BackgroundHandbook of Distance Education
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“It represents learners’ ownership and responsibility for their learning as it reflects their personal autonomy in handling and controlling their learning objectives (Pan, 2020).”
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“For example, perceived ease of use was associated with self-efficacy in undergraduate students engaged in technol-ogy-supported self-directed learning (Pan, 2020).”
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
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