Video Tabanlı Öğrenme Alanındaki Göz İzleme Araştırmalarına Bibliyometrik Bir Bakış

Year 2024, , 378 - 400, 16.08.2024

Şeyma Ulukök Yıldırım , Duygu Sönmez

https://doi.org/10.33711/yyuefd.1378898

Abstract

Göz izleme teknolojisi, video tabanlı öğrenme süreçlerini anlamak için son zamanlarda daha popüler hale gelmiştir. Bu araştırmanın temel amacı, video tabanlı öğrenme alanındaki göz izleme araştırmalarına ilişkin genel bir bakış sunmaktır. Bu amaçla Web of Science Core Collection’da indekslenen ve video tabanlı öğrenme üzerine yürütülen 147 göz izleme makalesi analiz edilmiştir. Araştırmaların entelektüel yapısını ortaya çıkarmak için bibliyometrik bir yaklaşım uygulanmıştır. Bibliyometrik analiz için VOSviewer yazılımı kullanılmıştır. Sonuçlar, ‘‘göz takibi’’nin en fazla tekrarlanma sıklığına sahip anahtar kelime olduğunu göstermiştir. En etkili yazarlar Van Gog, T. ve Jarodzka, H. dir. İncelenen çalışmaların çoğu Amerika Birleşik Devletleri, Almanya ve Çin Halk Cumhuriyeti’nde yapılmıştır. Dergilerde yer alan doküman sayısı açısından "Journal of Computer Assisted Learning" dergisinin öne çıktığı, atıf sayısı açısından ise " Computers & Education" dergisinin ilk sırada yer aldığı tespit edilmiştir. Sonuçlar, video tabanlı öğrenme süreçlerinde göz izleme teknolojisinin kullanımına ilişkin son araştırmalar hakkında içgörüler sağlar. Bu çalışmanın, araştırmacıların alandaki eğilimleri görmelerine, gelecek çalışmalara ve uygulamalara rehberlik etmesine yardımcı olacağı düşünülmektedir.

Keywords

Video, video tabanlı öğrenme, göz izleme araştırmaları, bibliyometrik analiz

A Bibliometric Look at Eye Tracking Research in Video-Based Learning

Abstract

Eye tracking technology has become more popular recently for understanding video-based learning processes.The main purpose of this research is to provide an overview of eye tracking research in video-based learning. For this purpose, 172 eye-tracking articles related to video-based learning indexed in the Web of Science Core Collection were analyzed. A bibliometric approach was applied to reveal the intellectual nature of the research. VOSviewer software was used for bibliometric analysis. The results showed that "eye tracking" was the keyword with the highest frequency of occurrence. The most influential authors are Jarodzka, H., and Van Gog, T. Most of the studies reviewed were conducted in the USA, Germany, and China. It has been determined that the "Research in Developmental Disabilities" journal stands out regarding the number of documents in the journals, and the "Computers & Education" journal ranks first in the number of citations. The results provide insights into a recent research on eye tracking in video-based learning processes. It is thought that this study will help researchers see trends in the field and guide future studies and applications.

Keywords

Video, video-based learning, eye tracking research, bibliometric analysis

References

• Adnan, H., & Redzuan, F. (2016, August). Evaluating students' emotional response in video-based learning using Kansei Engineering. In 2016 4th International Conference on User Science and Engineering (i-USEr) (pp. 237-242). IEEE.
• Alemdağ, E., & Çağıltay, K. (2018). A systematic review of eye tracking research on multimedia learning. Computers & Education, 125, 413-428. https://doi.org/10.1016/j.compedu.2018.06.023
• Ashraf, H., Sodergren, M. H., Merali, N., Mylonas, G., Singh, H., & Darzi, A. (2018). Eye-tracking technology in medical education: A systematic review. Medical Teacher, 40(1), 62-69. https://doi.org/10.1080/0142159X.2017.1391373
• Beach, P., & McConnel, J. (2019). Eye tracking methodology for studying teacher learning: A review of the research. International Journal of Research & Method in Education, 42(5), 485-501. https://doi.org/10.1080/1743727X.2018.1496415
• Bétrancourt, M., & Benetos, K. (2018). Why and when does instructional video facilitate learning? A commentary to the special issue “developments and trends in learning with instructional video”. Computers in Human Behavior, 89, 471-475. https://doi.org/10.1016/j.chb.2018.08.035
• Biehl, M., Kim, H., & Wade, M. (2006). Relationships among the academic business disciplines: A multi-method citation analysis. Omega, 34(4), 359-371.
• Caputo, A., Pizzi, S., Pellegrini, M. M., & Dabić, M. (2021). Digitalization and business models: Where are we going? A science map of the field. Journal of Business Research, 123, 489-501. https://doi.org/10.1016/j.jbusres.2020.09.053
• Cobo, M. J., Martínez, M. Á., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25 years at knowledge-based systems: a bibliometric analysis. Knowledge-Based Systems, 80, 3-13. https://doi.org/10.1016/j.knosys.2014.12.035
• Cojean, S., & Jamet, E. (2022). Does an interactive table of contents promote learning from videos? A study of consultation strategies and learning outcomes. British Journal of Educational Technology, 53(2), 269-285. https://doi.org/10.1111/bjet.13164
• Comarú, M. W., Lopes, R. M., Braga, L. A. M., Batista Mota, F., and Galvão, C. (2021). A bibliometric and descriptive analysis of inclusive education in science education. Studies in Science Education, 57(2), 241-263. https://doi.org/10.1080/03057267.2021.1897930
• Çoşkun, A., & Çağıltay, K. (2022). A systematic review of eye‐tracking‐based research on animated multimedia learning. Journal of Computer Assisted Learning, 38(2), 581-598. https://doi.org/10.1111/jcal.12629
• Deng, R., & Gao, Y. (2023). A review of eye tracking research on video-based learning. Education and Information Technologies, 28(6), 7671-7702. https://doi.org/10.1007/s10639-022-11486-7
• Dönmez, M. (2023). A systematic literature review for the use of eye-tracking in special education. Education and Information Technologies, 28(6), 6515-6540. https://doi.org/10.1007/s10639-022-11456-z
• Djeki, E., Dégila, J., Bondiombouy, C., & Alhassan, M. H. (2022). E-learning bibliometric analysis from 2015 to 2020. Journal of Computers in Education, 9(4), 727-754. https://doi.org/10.1007/s40692-021-00218-4
• Fiorella, L., van Gog, T., Hoogerheide, V., & Mayer, R. E. (2017). It’s all a matter of perspective: Viewing first-person video modeling examples promotes learning of an assembly task. Journal of Educational Psychology, 109(5), 653. https://doi.org/10.1037/edu0000161
• Göksu, I. (2021). Bibliometric mapping of mobile learning. Telematics and Informatics, 56, 101491. https://doi.org/10.1016/j.tele.2020.101491
• Hahn, L., & Klein, P. (2022). Eye tracking in physics education research: A systematic literature review. Physical Review Physics Education Research, 18(1), 013102. https://doi.org/10.1103/PhysRevPhysEducRes.18.013102
• Halszka, J., Holmqvist, K., & Gruber, H. (2017). Eye tracking in Educational Science: Theoretical frameworks and research agendas. Journal of Eye Movement Research, 10(1), 3,1-18. https://doi.org/10.16910%2Fjemr.10.1.3
• Hao, T., Chen, X., Li, G., & Yan, J. (2018). A bibliometric analysis of text mining in medical research. Soft Computing, 22, 7875-7892. https://doi.org/10.1007/s00500-018-3511-4
• Hjorth, W. R. (2023). Instructional videos. TechTrends, 67(2), 215-216. https://doi.org/10.1007/s11528-023-00836-y
• Hung, J. L. (2012). Trends of e‐learning research from 2000 to 2008: Use of text mining and bibliometrics. British Journal of Educational Technology, 43(1), 5-16. https://doi.org/10.1111/j.1467-8535.2010.01144.x
• Kılıç, A.E., & Yılmaz, R. (2021). Examination of Youtube's acceptance for educational purposes. Journal of Ahmet Keleşoğlu Education Faculty, 3(1), 69-89.
• Kılınç, H., Fırat, M., & Yüzer, T. V. (2017). Trends of video use in distance education: A research synthesis. Pegem Journal of Education and Instruction, 7, 55–82. https://doi.org/10.14527/pegegog.2017.003.
• Kokoç, M., & Altun, A. (2018, May). Lecture videos in e-learning environments: new trends in design and analytics. 12th International Computer and Instructional Technologies Symposium (pp. 392). İzmir, Turkey. ISBN:978-605-338-245-4
• Kokoç, M., IIgaz, H., & Altun, A. (2020). Effects of sustained attention and video lecture types on learning performances. Educational Technology Research and Development, 68(6), 3015-3039. https://doi.org/10.1007/s11423-020-09829-7
• Kokoç, M. (2020). Design Suggestions and current practices for educational video development. In M. Kokoç & H. Ilgaz (Eds.), Videos Applications and Current Trends in E-Learning (pp. 233-252). Pegem academy.
• Lai, M.-L., Tsai, M.-J., Yang, F.-Y., Hsu, C.-Y., Liu, T.-C., Lee, S. W.-Y., & Tsai, C. C. (2013). A review of using eye-tracking technology in exploring learning from 2000 to 2012. Educational Research Review, 10, 90– 115. https://doi.org/10.1016/j.edurev.2013.10.001
• Li, J., Antonenko, P. D., & Wang, J. (2019). Trends and issues in multimedia learning research in 1996–2016: A bibliometric analysis. Educational Research Review, 28, 100282. https://doi.org/10.1016/j.edurev.2019.100282
• Lorenzo, G., Lorenzo-Lledó, A., Lledó, A., & Pérez-Vázquez, E. (2020). Application of virtual reality in people with ASD from 1996 to 2019. Journal of Enabling Technologies, 14(2), 99–114. https://doi.org/10.1108/JET-01-2020-0005
• Lund, H. (2016). Eye tracking in library and information science: a literature review. Library Hi Tech, 585-614. https://doi.org/10.1108/lht-07-2016-0085
• Martins, J., Gonçalves, R., & Branco, F. (2022). A bibliometric analysis and visualization of e-learning adoption using VOSviewer. Universal Access in the Information Society, 1-15. https://doi.org/10.1007/s10209-022-00953-0
• Mayer, R. E., Fiorella, L., & Stull, A. (2020). Five ways to increase the effectiveness of instructional video. Educational Technology Research and Development, 68(3), 837-852. https://doi.org/10.1007/s11423-020-09749-6
• Mendoza, G. L. L., Caranto, L. C., & David, J. J. T. (2015). Effectiveness of video presentation to students’ learning. International Journal of Nursing Science, 5(2), 81-86.
• Mikhailenko, M., Maksimenko, N., & Kurushkin, M. (2022, March). Eye-tracking in immersive virtual reality for education: a review of the current progress and applications. In Frontiers in Education 7, 697032. https://doi.org/10.3389/feduc.2022.697032
• Mishra, S., Sahoo, S., & Pandey, S. (2021). Research trends in online distance learning during the COVID-19 pandemic. Distance Education, 1-26. https://doi.org/10.1080/01587919.2021.1986373
• Mutluer, C. (2023). A bibliometric analysis on test equating studies. Journal of Ahmet Keleşoğlu Education Faculty, 5(3), 1451-1463.
• Özdinç, F. (2020). Trends and new approaches in educational video research. In M. Kokoç & H. Ilgaz (Eds.), Videos Applications and Current Trends in E-Learning (pp. 195-207). Pegem academy.
• Özer, E. (2022). A new window to special education: eye tracking technique. Turkish Journal of Special Education Research and Practice, 4(1), 49-63.
• Pan, S. C., Sana, F., Schmitt, A. G., & Bjork, E. L. (2020). Pretesting reduces mind wandering and enhances learning during online lectures. Journal of Applied Research in Memory and Cognition, 9(4), 542–554. https://doi.org/10.1016/j.jarmac.2020.07.004
• Park, J., Chang, J., Park, J., & Yoon, H. G. (2022). Features of and representational strategies in instructional videos for primary science classes. International Journal of Science Education, 44(16), 2397-2422.
• Poquet, O., Lim, L., Mirriahi, N., & Dawson, S. (2018, March). Video and learning: a systematic review (2007--2017). In Proceedings of the 8th international conference on learning analytics and knowledge (pp. 151-160). Sablić, M., Mirosavljević, A., & Škugor, A. (2021). Video-based learning (VBL)—past, present and future: An overview of the research published from 2008 to 2019. Technology, Knowledge and Learning, 26(4), 1061-1077. https://doi.org/10.1007/s10758-020-09455-5
• Sağlam, Z., & Yılmaz, F. G. K. (2021). Eye tracking in educational research: determining trends in research. Journal of Gazi University Gazi Education Faculty, 41(3), 1621-1649.
• Salgado-Fernández, A., Vázquez-Amor, A., Alvarez-Peregrina, C., Martinez-Perez, C., Villa-Collar, C., & Sánchez-Tena, M. Á. (2022). Influence of eye movements on academic performance: A bibliometric and citation network analysis. Journal of Eye Movement Research, 15(4). https://doi.org/10.16910%2Fjemr.15.4.4
• Song, Y., Chen, X., Hao, T., Liu, Z., & Lan, Z. (2019). Exploring two decades of research on classroom dialogue by using bibliometric analysis. Computers & Education, 137, 12-31. https://doi.org/10.1016/j.compedu.2019.04.002
• Strohmaier, A. R., MacKay, K. J., Obersteiner, A., & Reiss, K. M. (2020). Eye-tracking methodology in mathematics education research: A systematic literature review. Educational Studies in Mathematics, 104, 147-200. https://doi.org/10.1007/s10649-020-09948-1
• Tunga, Y., & Çağıltay, K. (2023). Looking through the model’s eye: A systematic review of eye movement modeling example studies. Education and Information Technologies, 1-27.
• Ulukök, E. (2022). Mapiıng the intellectual structure of perceived overqualification research: A co-keyword and co-citaiıon analysis. Dumlupınar University Journal of Soiıal Sciences, (74), 54-74.
• Ulukök, E., & Merdan, E. (2022). Laissez-faire leadership: a map of the field and a bibliometric analysis. International Journal of Economics, Business and Politics, 6(2), 371-396.
• Van der Meij, H. (2017). Reviews in instructional video. Computers & Education, 114, 164-174. https://doi.org/10.1016/j.compedu.2017.07.002
• Van Eck, N. J., & Waltman, L. (2022). VOSviewer manual: manual for VOSviewer. Version, 1, 18.
• Van Gog, T., & Jarodzka, H. (2013). Eye tracking as a tool to study and enhance cognitive and metacognitive processes in computer-based learning environments. In R. Azevedo & V. Aleven (Eds.), International handbook of metacognition and learning technologies (pp. 143–156). Springer.
• Wang, X., Lin, L., Han, M., & Spector, J. M. (2020). Impacts of cues on learning: Using eye-tracking technologies to examine the functions and designs of added cues in short instructional videos. Computers in Human Behavior, 107, 106279. https://doi.org/10.1016/j.chb.2020.106279
• Xu, H., Cheng, X., Wang, T., Wu, S., & Xiong, Y. (2022). Mapping neuroscience in the field of education through a bibliometric analysis. Brain Sciences, 12(11), 1454. https://doi.org/10.3390/brainsci12111454
• Yıldırım, Y., Kaçar, E., & Altınpulluk, H. (2023) Bibliometric analysis of articles published on online learning videos in scopus database between 2012-2022. The Journal of Buca Faculty of Education, (58), 2409-2429. https://doi.org/10.53444/deubefd.1268857
• Yıldızhan, B. & Atmaca Aksoy, A. C. (2023). A different perspective on scientific publications on teacher education in mathematics and science education: bibliometric mapping. Journal of Necmettin Erbakan University Ereğli Faculty of Education, 5(Special İssue), 467-496. https://doi.org/10.51119/ereegf.2023.52
• Yılmaz, K. (2021). Systematic review, meta evaluation, and bibliometric analysis in social sciences and educational sciences. Manas Journal of Social Studies, 10(2), 1457-1490.
• Yousef, A. M. F., Chatti, M. A., & Schroeder, U. (2014). The state of video-based learning: A review and future perspectives. International Journal on Advances in Life Sciences, 6(3), 122-135.
• Zammarchi, G., & Conversano, C. (2021). Application of eye tracking technology in medicine: a bibliometric analysis. Vision, 5(4), 56. https://doi.org/10.3390/vision5040056
• Zeng, R., & Chini, A. (2017). A review of research on embodied energy of buildings using bibliometric analysis. Energy and Buildings, 155, 172-184. https://doi.org/10.1016/j.enbuild.2017.09.025
• Zhai, X., Fang, Q., Dong, Y., Wei, Z., Yuan, J., Cacciolatti, L., & Yang, Y. (2018). The effects of biofeedback‐based stimulated recall on self‐regulated online learning: A gender and cognitive taxonomy perspective. Journal of Computer Assisted Learning, 34(6), 775-786. https://doi.org/10.1111/jcal.12284
• Zhi-Tiao, Z., Man-Man, Z., Peng, Z., Ying, F. U., Zi-Jia, L. V., & Zhuan-Li, Z. (2022). Using citespace-based bibliometric analysis to examine the hotspots and trends from 20 years of research on eye movements in reading. Journal of Psychological Science, 45(4), 811.