The Road to Better Assessment: Unleashing the Potential of Feedback Literacy Through Bibliometric Analysis in Education
Abstract
Objective: Feedback literacy is a fundamental skill in education that supports academic success, personal growth, and the development of lifelong learning skills. It improves the educational experience by encouraging a culture of improvement and effective communication. Feedback literacy enhances students' learning by leveraging their ability to evaluate feedback. This research analyzes articles on Feedback Literacy using Bibliometric Analysis to explore topic development and research potential. Method: descriptive research that Bibliometric Analysis processes. Results: 106 articles on feedback literacy from 2012 to 2022 were mined from Database Scopus, with the United Kingdom being the leading country contributing to this topic. The most active authors are Paul Sutton and David Carless. The latest trends in feedback literacy are associated with self-assessment, student engagement, socio-material aspects, and interprofessional education. Novelty: The novelty in exploring articles related to feedback literacy is the research associated with individual differences in learning, as each student always desires to be treated differently, especially when receiving feedback and giving feedback to other classmates



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References
Admoko, S., Mukhayyarotin, N. R. J., & Madlazim, E. H. (2021). Bibliometric profile of science education research on argumentation and the contribution of indonesia. International Journal of Education in Mathematics, Science and Technology, 209, 502–509. https://doi.org/10.2991/aer.k.211215.085
Afraz, S. M., Gillani, H., Bin, A., Senin, A., & Bode, J. (2022). Bibliometric analysis of digital entrepreneurial education and student intention ; Reviewed and analyzed by VOSViewer from Google Scholar. International Journal of Internactive Mobile Technologye, 16(13), 48–65, https://doi.org/10.3991/ijim.v16i13.30619
Aksnes, D. W., Langfeldt, L., & Wouters, P. (2019). Citations, citation indicators, and research quality: An overview of basic concepts and theories. SAGE Open, 9(1), 1-10. https://doi.org/10.1177/2158244019829575
Arsyad, S., Zaim, M., & Susyla, D. (2018). Review and citation style in research article introductions: A comparative study between national and international english-medium journals in medical sciences. Discourse and Interaction, 11(1), 28–51. https://doi.org/10.5817/DI2018-1-28
Asfahani, A., El-Farra, S. A., & Iqbal, K. (2023). International benchmarking of teacher training programs: Lessons learned from diverse education systems. EDUJAVARE: International Journal of Educational Research, 1(2), 141–152.
Barbosa, W., Prado, T., Batista, C., Câmara, J. C., Cerqueira, R., Coelho, R., & Guarieiro, L. (2022). Electric vehicles: Bibliometric analysis of the current state of the art and perspectives. Energies, 15(2), 1–16. https://doi.org/10.3390/en15020395
Barnawi, A., Sonbol, A. M., Al-Shawwa, L., Abulaban, A., Asiri, K., Bagasi, A., Alafari, R., & Alamoudi, A. A. (2024). Employing students’ evaluations and tutors’ perceptions to evaluate a faculty development program on problem-based learning at the Faculty of Medicine, King Abdulaziz University. BMC Medical Education, 24(1), 1–14. https://doi.org/10.1186/s12909-024-05662-1
Bayuo, B. B., Chaminade, C., & Göransson, B. (2020). Unpacking the role of universities in the emergence, development and impact of social innovations – A systematic review of the literature. Technological Forecasting and Social Change, 155, 1-10. https://doi.org/10.1016/j.techfore.2020.120030
Belli, S., Mugnaini, R., Baltà, J., & Abadal, E. (2020). Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society? Scientometrics, 124(3), 2661–2685. https://doi.org/10.1007/s11192-020-03590-7
Boud, D., & Dawson, P. (2021). What feedback literate teachers do: An empirically-derived competency framework. Assessment & Evaluation in Higher Education, 1–14. https://doi.org/10.1080/02602938.2021.1910928
Cahyo, W. N. (2021). Finding novelty of research with systematic literature mapping (SLM). Journal of Physics: Conference Series, 1764(1), 1-7. https://doi.org/10.1088/1742-6596/1764/1/012186
Carless, D. (2019). Feedback loops and the longer-term: Towards feedback spirals. Assessment and Evaluation in Higher Education, 44(5), 705–714. https://doi.org/10.1080/02602938.2018.1531108
Carless, D. (2022). From teacher transmission of information to student feedback literacy: Activating the learner role in feedback processes. Active Learning in Higher Education, 23(2), 143–153. https://doi.org/10.1177/1469787420945845
Carless, D., & Boud, D. (2018). The development of student feedback literacy: Enabling uptake of feedback. Assessment and Evaluation in Higher Education, 43(8), 1315–1325. https://doi.org/10.1080/02602938.2018.1463354
Carless, D., & Winstone, N. (2020a). Teacher feedback literacy and its interplay with student feedback literacy. Teaching in Higher Education, 1–14. https://doi.org/10.1080/13562517.2020.1782372
Carless, D., & Winstone, N. (2020b). Teacher feedback literacy and its interplay with student feedback literacy. Teaching in Higher Education, 1–14. https://doi.org/10.1080/13562517.2020.1782372
Castañeda, K., Sánchez, O., Herrera, R. F., & Mejía, G. (2022). Highway planning trends: A bibliometric analysis. Sustainability, 14(9), 1-14. https://doi.org/10.3390/su14095544
Chan, C. K. Y., & Luo, J. (2022). Exploring teacher perceptions of different types of ‘feedback practices’ in higher education: Implications for teacher feedback literacy. Assessment & Evaluation in Higher Education, 47(1), 61–76. https://doi.org/10.1080/02602938.2021.1888074
Chong, S. W. (2020). Reconsidering student feedback literacy from an ecological perspective. Assessment & Evaluation in Higher Education, 46(1), 92–104. https://doi.org/10.1080/02602938.2020.1730765
Colavizza, G., Costas, R., Traag, V. A., van Eck, N. J., van Leeuwen, T., & Waltman, L. (2021). A scientometric overview of CORD-19. PLOS ONE, 16(1), 1-10. https://doi.org/10.1371/journal.pone.0244839
Darvishi, A., Khosravi, H., Abdi, S., Sadiq, S., & Gašević, D. (2022). Incorporating training, self-monitoring and AI-assistance to improve peer feedback quality. Proceedings of the 9th ACM Conference on Learning, 35–47. https://doi.org/10.1145/3491140.3528265
Dawson, P., Carless, D., & Lee, P. P. W. (2021). Authentic feedback: Supporting learners to engage in disciplinary feedback practices. Assessment & Evaluation in Higher Education, 46(2), 286–296. https://doi.org/10.1080/02602938.2020.1769022
Deta, U. A., Arika, A., Lentika, D. L., Al Lathifah, S. A. S., Suliyanah, S., Admoko, S., & Suprapto, N. (2021). Research trend of socio scientific issues (SSI) in physics learning through bibliometric analysis in 2011-2020 using scopus database and the contribution of indonesia. Jurnal Penelitian Pendidikan IPA, 7(4), 682–692. https://doi.org/10.29303/jppipa.v7i4.862
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021a). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Donthu, N., Kumar, S., Pandey, N., & Gupta, P. (2021b). Forty years of the International Journal of Information Management: A bibliometric analysis. International Journal of Information Management, 57, 102307. https://doi.org/10.1016/j.ijinfomgt.2020.102307
Ellegaard, O. (2018). The application of bibliometric analysis: disciplinary and user aspects. Scientometrics, 116(1), 181–202. https://doi.org/10.1007/s11192-018-2765-z
Evans, C. (2013). Making sense of assessment feedback in higher education. Review of Educational Research, 83(1), 70–120. https://doi.org/10.3102/0034654312474350
Ezugwu, A. E., Shukla, A. K., Nath, R., Akinyelu, A. A., Agushaka, J. O., Chiroma, H., & Muhuri, P. K. (2021). Metaheuristics: A comprehensive overview and classification along with bibliometric analysis. Artificial Intelligence Review, 54(6), 4237–4316. https://doi.org/10.1007/s10462-020-09952-0
Fry, C. V, Cai, X., Zhang, Y., & Wagner, C. S. (2020). Consolidation in a crisis: Patterns of international collaboration in early COVID-19 research. PLOS ONE, 15(7), 1-11. https://doi.org/10.1371/journal.pone.0236307
Gravett, K. (2022). Feedback literacies as sociomaterial practice. Critical Studies in Education, 63(2), 261–274. https://doi.org/10.1080/17508487.2020.1747099
Hallinger, P., & Kovačević, J. (2019). A bibliometric review of research on educational administration: Science mapping the literature, 1960 to 2018. Review of Educational Research, 89(3), 335–369. https://doi.org/10.3102/0034654319830380
Han, Y., & Xu, Y. (2020). The development of student feedback literacy: the influences of teacher feedback on peer feedback. Assessment & Evaluation in Higher Education, 45(5), 680–696. https://doi.org/10.1080/02602938.2019.1689545
Harris, R., Blundell-birtill, P., Pownall, M., Harris, R., Blundell-birtill, P., Development, M. P., & Blundell-birtill, P. (2022). Development and evaluation of two interventions to improve students ’ reflection on feedback. Assessment & Evaluation in Higher Education, 1–14. https://doi.org/10.1080/02602938.2022.2107999
Henderson, M., Ryan, T., & Phillips, M. (2019). The challenges of feedback in higher education. Assessment & Evaluation in Higher Education, 44(8), 1237–1252. https://doi.org/10.1080/02602938.2019.1599815
Hladchenko, M. (2022). Implications of publication requirements for the research output of ukrainian academics in scopus in 1999-2019. Journal of Data and Information Science, 7(3), 71–93. https://doi.org/10.2478/jdis-2022-0016
Hoo, H. T., Deneen, C., & Boud, D. (2021). Developing student feedback literacy through self and peer assessment interventions. Assessment & Evaluation in Higher Education, 1–14. https://doi.org/10.1080/02602938.2021.1925871
Hudha, M. N., Hamidah, I., Permanasari, A., Abdullah, A. G., Rachman, I., & Matsumoto, T. (2020). Low carbon education: A review and bibliometric analysis. European Journal of Educational Research, 9(1), 319–329. https://doi.org/10.12973/eu-jer.9.1.319
Jauhariyah, M. N. R., Anggaryani, M., & Marzuki, A. (2021). Research trend on erbium-doped tellurite glasses based on scopus database. E3S Web of Conferences, 328, 1-10. https://doi.org/10.1051/e3sconf/202132804018
Jensen, L. X., Bearman, M., & Boud, D. (2021). Understanding feedback in online learning – A critical review and metaphor analysis. Computers & Education, 173, 1-12. https://doi.org/10.1016/j.compedu.2021.104271
Kastrin, A., & Hristovski, D. (2021). Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020). Scientometrics, 126(2), 1415–1451. https://doi.org/10.1007/s11192-020-03811-z
Kwiek, M. (2020). Internationalists and locals: International research collaboration in a resource-poor system. Scientometrics, 124(1), 57–105. https://doi.org/10.1007/s11192-020-03460-2
Lee, J. J., & Haupt, J. P. (2021). Scientific globalism during a global crisis: Research collaboration and open access publications on COVID-19. Higher Education, 81(5), 949–966. https://doi.org/10.1007/s10734-020-00589-0
Li, Y., Zhang, Y., Lee, C.-C., & Li, J. (2021). Structural characteristics and determinants of an international green technological collaboration network. Journal of Cleaner Production, 324, 1-10. https://doi.org/10.1016/j.jclepro.2021.129258
Lipnevich, A. A., & Panadero, E. (2021). A review of feedback models and theories: Descriptions, definitions, and conclusions. Frontiers in Education, 6, 24-32. https://doi.org/10.3389/feduc.2021.720195
Mäkipää, T. (2024). Upper secondary students’ perceptions of feedback literacy in second language learning in finland – A qualitative case study. Teaching and Teacher Education, 143, 1-15. https://doi.org/10.1016/j.tate.2024.104554
Masic, I. (2023). How evaluation expert’s teams of pubmed central (PMC) and scopus indexed databases making quality assessment of the journals – A case of international journal on biomedicine and healthcare (IJBH) journal. International Journal on Biomedicine and Healthcare, 11(1), 78-92. https://doi.org/10.5455/ijbh.2023.11.78-106
Mazov, N. A., Gureev, V. N., & Glinskikh, V. N. (2020). The methodological basis of defining research trends and fronts. Scientific and Technical Information Processing, 47(4), 221–231. https://doi.org/10.3103/S0147688220040036
McAllister, J. T., Lennertz, L., & Atencio Mojica, Z. (2022). Mapping a discipline: A guide to using VOSviewer for bibliometric and visual analysis. Science & Technology Libraries, 41(3), 319–348. https://doi.org/10.1080/0194262X.2021.1991547
Mishra, M., Sudarsan, D., Santos, C. A. G., Mishra, S. K., Kar, D., Baral, K., & Pattnaik, N. (2021). An overview of research on natural resources and indigenous communities: A bibliometric analysis based on Scopus database (1979–2020). Environmental Monitoring and Assessment, 193(2), 1-11. https://doi.org/10.1007/s10661-020-08793-2
Mystakidis, S., Christopoulos, A., & Pellas, N. (2022). A systematic mapping review of augmented reality applications to support STEM learning in higher education. Education and Information Technologies, 27(2), 1883–1927. https://doi.org/10.1007/s10639-021-10682-1
Namaziandost, E., Kargar, H., & Heydarnejad, T. (2024). Tapping the alphabets of learning-oriented assessment: self-assessment, classroom climate, mindsets, trait emotional intelligence, and academic engagement are in focus. Language Testing in Asia, 14(1), 1–30. https://doi.org/10.1186/s40468-024-00293-1
Ndukwe, I. G., & Daniel, B. K. (2020). Teaching analytics, value and tools for teacher data literacy: a systematic and tripartite approach. International Journal of Educational Technology in Higher Education, 17(1), 22-35. https://doi.org/10.1186/s41239-020-00201-6
Panadero, E., & Lipnevich, A. A. (2022). A review of feedback models and typologies: Towards an integrative model of feedback elements. Educational Research Review, 35, 1-23. https://doi.org/https://doi.org/10.1016/j.edurev.2021.100416
Phoocharoensil, S. (2022). ELT and AL research trends in thai scopus-indexed journals. Pasaa, 64, 163–193.
Prahani, B. K., Alfin, J., Fuad, A. Z., Saphira, H. V., Hariyono, E., & Suprapto, N. (2022). Learning management system (LMS) research during 1991–2021: How technology affects education. International Journal of Emerging Technologies in Learning, 17(17), 28–49. https://doi.org/10.3991/ijet.v17i17.30763
Prahani, B. K., Imah, E. M., Maureen, I. Y., Rakhmawati, L., & Saphira, H. V. (2023). Trend and visualization of artificial intelligence research in the last 10 years. TEM Journal, 12(2), 1-10. https://doi.org/10.18421/TEM122-38
Prahani, B. K., Jatmiko, B., Amelia, T., Pristianti, M. C., Suliyanah, S., & Mahtari, S. (2022). Online and distance learning research in the last 30 years: Real contribution in physics learning. Jurnal Penelitian Dan Pengkajian Ilmu Pendidikan: E-Saintika, 6(3), 202–220. https://doi.org/10.36312/esaintika.v6i3.897
Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Artificial intelligence in education research during the last ten years : A review and bibliometric study. International Journal of Emerging Technologies in Learning, 17(08), 169–188. https://doi.org/10.3991/ijet.v17i08.29833
Prahani, B. K., Zaidi, M., Amiruddin, B., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Top 100 cited publications for the last thirty years in digital learning and mobile learning. International Journal of Interactive Mobile Technologies (IJIM), 16(8), 18–33, https://doi.org/10.3991/ijet.v17i08.29833
Pranckutė, R. (2021). Web of Science (WoS) and scopus: the titans of bibliographic information in today’s academic world. Publications, 9(1), 1-11. https://doi.org/10.3390/publications9010012
Rodríguez-Soler, R., Uribe-Toril, J., & De Pablo Valenciano, J. (2020). Worldwide trends in the scientific production on rural depopulation, a bibliometric analysis using bibliometrix R-tool. Land Use Policy, 97, 1-23. https://doi.org/https://doi.org/10.1016/j.landusepol.2020.104787
Rojas-Sánchez, M. A., Palos-Sánchez, P. R., & Folgado-Fernández, J. A. (2023). Systematic literature review and bibliometric analysis on virtual reality and education. Education and Information Technologies, 28(1), 155–192. https://doi.org/10.1007/s10639-022-11167-5
Rupp, M., Schneckenburger, M., Merkel, M., Börret, R., & Harrison, D. K. (2021). Industry 4.0: A technological-oriented definition based on bibliometric analysis and literature review. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 68-96. https://doi.org/https://doi.org/10.3390/joitmc7010068
Sanchayan, S., Olupeliyawa, A., & Chandratilake, M. (2024). Feedback practices in undergraduate clinical teaching in sri lanka – A qualitative study. BMC Medical Education, 24(1), 1–14. https://doi.org/10.1186/s12909-024-05556-2
Setyaningsih, I., Indarti, N., & Jie, F. (2018). Bibliometric analysis of the term “green manufacturing.” International Journal of Management Concepts and Philosophy, 11(3), 315-323. https://doi.org/10.1504/ijmcp.2018.093500
Singh, V. K., Singh, P., Uddin, A., Arora, P., & Bhattacharya, S. (2022). Exploring the relationship between journals indexed from a country and its research output: An empirical investigation. Scientometrics, 127(6), 2933–2966. https://doi.org/10.1007/s11192-022-04366-x
Sutton, P. (2012). Conceptualizing feedback literacy: Knowing, being, and acting. Innovations in Education and Teaching International, 49(1), 31–40. https://doi.org/10.1080/14703297.2012.647781
Swacha, J. (2021). State of research on gamification in education: A bibliometric survey. Education Sciences, 11(2), 1-10. https://doi.org/10.3390/educsci11020069
Velez-Estevez, A., García-Sánchez, P., Moral-Munoz, J. A., & Cobo, M. J. (2022). Why do papers from international collaborations get more citations? A bibliometric analysis of library and information science papers. Scientometrics, 127(12), 7517–7555. https://doi.org/10.1007/s11192-022-04486-4
Xie, Z., & Liu, W. (2024). What matters in the cultivation of student feedback literacy: exploring university EFL teachers’ perceptions and practices. Humanities and Social Sciences Communications, 11(1), 1–9. https://doi.org/10.1057/s41599-024-02648-8
Yan, Z., & Carless, D. (2022). Self-assessment is about more than self: The enabling role of feedback literacy. Assessment and Evaluation in Higher Education, 47(7), 1116–1128. https://doi.org/10.1080/02602938.2021.2001431
Yu, S., & Liu, C. (2021). Improving student feedback literacy in academic writing: An evidence-based framework. Assessing Writing, 48, 1-10. https://doi.org/10.1016/j.asw.2021.100525
Zhang, L., Carter Jr., R. A., Qian, X., Yang, S., Rujimora, J., & Wen, S. (2022). Academia’s responses to crisis: A bibliometric analysis of literature on online learning in higher education during COVID-19. British Journal of Educational Technology, 53(3), 620–646. https://doi.org/https://doi.org/10.1111/bjet.13191
Zhang, L., Zhao, W., Sun, B., Huang, Y., & Glänzel, W. (2020). How scientific research reacts to international public health emergencies: A global analysis of response patterns. Scientometrics, 124(1), 747–773. https://doi.org/10.1007/s11192-020-03531-4
Zhang, Y., Schunn, C. D., & Wu, Y. (2024). What does it mean to be good at peer reviewing? A multidimensional scaling and cluster analysis study of behavioral indicators of peer feedback literacy. International Journal of Educational Technology in Higher Education, 21(1), 1–22. https://doi.org/10.1186/s41239-024-00458-1
Zhang, Z. (Victor), & Hyland, K. (2022). Fostering student engagement with feedback: An integrated approach. Assessing Writing, 51, 40-51. https://doi.org/10.1016/j.asw.2021.100586
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