Self-efficacy in Online Learning: A Bibliometric Analysis

Onwardono Rit Riyanto; Ilham Muhammad; Nurul Husnah Mustika Sari; Nabil Husnan Azmy

doi:10.58421/gehu.v4i1.361

DOI:

https://doi.org/10.58421/gehu.v4i1.361

Authors

Onwardono Rit Riyanto Institut Prima Bangsa Cirebon, Jawa Barat https://orcid.org/0000-0003-0744-6913
Ilham Muhammad Universitas Pendidikan Indonesia, Jawa Barat
Nurul Husnah Mustika Sari UIN K.H. Abdurrahman Wahid Pekalongan, Jawa Tengah
Nabil Husnan Azmy Islamic University of Madinah, Madinah

Keywords:

Bibliometric Analysis , Online learning , Self-efficacy

Abstract

Whether synchronous or asynchronous, online learning utilizes various digital tools that significantly differentiate it from conventional offline learning. One critical factor influencing students' success in this environment is self-efficacy, which reflects their belief in their ability to perform learning tasks effectively. Despite increasing research on online learning self-efficacy, a comprehensive overview of its development and trends is needed. This study aims to analyze the research landscape related to online learning self-efficacy over the last five years, identifying key contributors, collaboration networks, and thematic research focuses. This study employs descriptive bibliometric analysis to systematically examine the growth, distribution, and impact of research in this field. Data was collected from major academic databases, focusing on publications between 2018 and 2023. Key parameters analyzed include publication trends, country-wise research output, institutional contributions, collaboration networks, keyword co-occurrence, and citation impact. Findings indicate a growing interest in online learning self-efficacy studies, particularly between 2018 and 2021. The United Kingdom leads in publications, while United States researchers engage in the most international collaborations. The Hong Kong Polytechnic University emerges as the top institution in this field. Most studies appear in education and technology journals, with commonly associated keywords including motivation, e-learning, self-concept, and self-regulated learning. Quantitative research dominates, as 84 of the 100 most-cited publications employ quantitative methodologies, with students as the most frequently studied sample group. These findings provide insights into scholarly trends, highlighting key contributors and research directions for future studies.

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References

M. E. Gladden, “Who Will Be the Members of Society 5.0? Towards an Anthropology of Technologically Posthumanized Future Societies,” Soc. Sci., vol. 8, no. 5, p. 148, May 2019, doi: 10.3390/socsci8050148.

P. Mishra, P. Thakur, and G. Singh, “Sustainable Smart City to Society 5.0: State-of-the-Art and Research Challenges,” SAIEE Afr. Res. J., vol. 113, no. 4, pp. 152–164, Dec. 2022, doi: 10.23919/SAIEE.2022.9945865.

S. Dhawan, “Online Learning: A Panacea in the Time of COVID-19 Crisis,” J. Educ. Technol. Syst., vol. 49, no. 1, pp. 5–22, Sep. 2020, doi: 10.1177/0047239520934018.

P. Goodyear, “Technology and the articulation of vocational and academic interests: reflections on time, space and e-learning,” Stud. Contin. Educ., vol. 28, no. 2, pp. 83–98, Jul. 2006, doi: 10.1080/01580370600750973.

S. Elfirdoussi, M. Lachgar, H. Kabaili, A. Rochdi, D. Goujdami, and L. El Firdoussi, “Assessing Distance Learning in Higher Education during the COVID-19 Pandemic,” Educ. Res. Int., vol. 2020, pp. 1–13, Dec. 2020, doi: 10.1155/2020/8890633.

F. Ferri, P. Grifoni, and T. Guzzo, “Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations,” Societies, vol. 10, no. 4, p. 86, Nov. 2020, doi: 10.3390/soc10040086.

R. Bates and S. Khasawneh, “Self-efficacy and college students’ perceptions and use of online learning systems,” Comput. Hum. Behav., vol. 23, no. 1, pp. 175–191, Jan. 2007, doi: 10.1016/j.chb.2004.04.004.

A. Bandura, “Self-efficacy: Toward a unifying theory of behavioral change,” Adv. Behav. Res. Ther., vol. 1, no. 4, pp. 139–161, Jan. 1978, doi: 10.1016/0146-6402(78)90002-4.

G. Guidetti, S. Viotti, A. Bruno, and D. Converso, “Teachers’ work ability: a study of relationships between collective efficacy and self-efficacy beliefs,” Psychol. Res. Behav. Manag., vol. Volume 11, pp. 197–206, May 2018, doi: 10.2147/PRBM.S157850.

J. A. Chen and M. Shane Tutwiler, “Implicit Theories of Ability and Self-Efficacy: Testing Alternative Social Cognitive Models to Science Motivation,” Z. Für Psychol., vol. 225, no. 2, pp. 127–136, Apr. 2017, doi: 10.1027/2151-2604/a000289.

W. A. Zimmerman and J. M. Kulikowich, “Online Learning Self-Efficacy in Students With and Without Online Learning Experience,” Am. J. Distance Educ., vol. 30, no. 3, pp. 180–191, Jul. 2016, doi: 10.1080/08923647.2016.1193801.

T. M. Kuo, C.-C. Tsai, and J.-C. Wang, “Linking web-based learning self-efficacy and learning engagement in MOOCs: The role of online academic hardiness,” Internet High. Educ., vol. 51, p. 100819, Oct. 2021, doi: 10.1016/j.iheduc.2021.100819.

J. Hanham, C. B. Lee, and T. Teo, “The influence of technology acceptance, academic self-efficacy, and gender on academic achievement through online tutoring,” Comput. Educ., vol. 172, p. 104252, Oct. 2021, doi: 10.1016/j.compedu.2021.104252.

S. Alharbi and S. Drew, “The Role of Self-efficacy in Technology Acceptance,” in Proceedings of the Future Technologies Conference (FTC) 2018, vol. 880, K. Arai, R. Bhatia, and S. Kapoor, Eds., in Advances in Intelligent Systems and Computing, vol. 880. , Cham: Springer International Publishing, 2019, pp. 1142–1150. doi: 10.1007/978-3-030-02686-8_85.

N. Valencia-Vallejo, O. López-Vargas, and L. Sanabria-Rodríguez, “Self-Efficacy in Computer-Based Learning Environments: A Bibliometric Analysis,” Psychology, vol. 07, no. 14, pp. 1839–1857, 2016, doi: 10.4236/psych.2016.714170.

C. B. Hodges, “Self-efficacy in the context of online learning environments: A review of the literature and directions for research,” Perform. Improv. Q., vol. 20, no. 3–4, pp. 7–25, 2008, doi: 10.1002/piq.20001.

D. Moher, A. Liberati, J. Tetzlaff, D. G. Altman, and for the PRISMA Group, “Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement,” BMJ, vol. 339, no. jul21 1, pp. b2535–b2535, Jul. 2009, doi: 10.1136/bmj.b2535.

N. J. Van Eck and L. Waltman, “Software survey: VOSviewer, a computer program for bibliometric mapping,” Scientometrics, vol. 84, no. 2, pp. 523–538, Aug. 2010, doi: 10.1007/s11192-009-0146-3.

S. Kumar Basak, M. Wotto, and P. Bélanger, “E-learning, M-learning and D-learning: Conceptual definition and comparative analysis,” E-Learn. Digit. Media, vol. 15, no. 4, pp. 191–216, Jul. 2018, doi: 10.1177/2042753018785180.

N. Valencia-Vallejo, O. López-Vargas, and L. Sanabria-Rodríguez, “Effect of Motivational Scaffolding on E-Learning Environments: Self-Efficacy, Learning Achievement, and Cognitive Style,” J. Educ. Online, vol. 15, no. 1, Jan. 2018, doi: 10.9743/JEO2018.15.1.5.

D. H. Schunk and M. K. DiBenedetto, “Self-Efficacy: Education Aspects,” in International Encyclopedia of the Social & Behavioral Sciences, Elsevier, 2015, pp. 515–521. doi: 10.1016/B978-0-08-097086-8.92019-1.

L. D. Basileo, B. Otto, M. Lyons, N. Vannini, and M. D. Toth, “The role of self-efficacy, motivation, and perceived support of students’ basic psychological needs in academic achievement,” Front. Educ., vol. 9, p. 1385442, May 2024, doi: 10.3389/feduc.2024.1385442.

J. Ferla, M. Valcke, and G. Schuyten, “Judgments of self-perceived academic competence and their differential impact on students’ achievement motivation, learning approach, and academic performance,” Eur. J. Psychol. Educ., vol. 25, no. 4, pp. 519–536, Dec. 2010, doi: 10.1007/s10212-010-0030-9.

H.-R. Shih, W. Zheng, P.-C. Yuan, and R. T. Ford, “Development of Self Regulation Skills and Academic Self-Efficacy Beliefs,” in Volume 5: Education and Globalization, Houston, Texas, USA: American Society of Mechanical Engineers, Nov. 2015, p. V005T05A008. doi: 10.1115/IMECE2015-50343.

Qiao Lu and Mohd Rustam Mohd Rameli, “How Academic Self-Efficacy Influences Online Learning Engagement: The Mediating Role of Boredom,” Int. J. Interact. Mob. Technol. IJIM, vol. 17, no. 24, pp. 115–135, Dec. 2023, doi: 10.3991/ijim.v17i24.44759.

S. Yokoyama, “Impact of academic self-efficacy on online learning outcomes: a recent literature review,” EXCLI J. 23Doc960 ISSN 1611-2156, 2024, doi: 10.17179/EXCLI2024-7502.