Assessing Students’ Focus and Interest Using YouTube Analytics

Zamira Hasanah Zamzuri

Abstract


Knowing the fact whether your students are paying attention in the class is a valuable information that helps educators to reassess their teaching quality. With the recent global situation, opting to the recorded or online streaming session has become more common and needed. Various platforms are available in order to share these sessions and one of the most commonly used is YouTube. One attractive property offered by YouTube is the analytics are readily available for each video with various important and interesting facts. From these facts, the educators are able to assess the students’ focus and further strategizing for the future lessons. Based on the data of 22 videos uploaded on October 2020 to January 2021, the average view of duration for each video is around 10 to 12 minutes, which is approximately one third from the total duration of the video. The students were giving more attention to the demonstration sessions, when white board being used and visualizations are shown in the videos.  Less interest is observed from the students when the video contents are chapters’ summary or the formulas.

 

 

 

DOI: http://dx.doi.org/10.17576/ajtlhe.1401.2022.05


Keywords


students’ focus; YouTube; lesson videos; data analytics

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References


Draus, P., Curran, M., & Trempus, M. (2014). The influence of instructor-generated video content on students satisfaction with and engagement in asynchronous online classes. Journal of Online Learning & Teaching, 10(2), 240-254.

Eick, C. J & King Jr., D. T. (2012). Nonscience Majors’ Perception on the Use of YouTube Video to Support Learning in an Integrated Science Lecture. Journal of College Science Teaching, 42(1), 26-30.

Emerson, E., Tansley, G. & Javanbakht, Z. (2019). Blended learning in Engineering Design: Using YouTube analytics to track student engagement with online content. The 30th Annual Conference for the Australasian Association for Engineering Education (AAEE 2019).

Farrell, M. (2021). Using YouTube Analytics to Measure the Effectiveness of Instructor-Generated Video in Online Courses. The 11th International Conference on Learning Analytics and Knowledge.

Guo, P.J., Kim. J. & Rubin, R. (2014). How video production affect student engagement: an empirical study of MOOC videos. Proceedings of the first ACM conference on Learning, 41-50.

Mirriahi, N. & Vigentini, L. (2017). Analytics of Learner Video Use in C. Lang. Handbook of Learning Analytic. Siemens, A. Wise & D. Gasevic (Eds).

Sinha, T., Jermann, P., Li, N. & Dillenbourg, P. (2014). Your click decides your fate:

Inferring Information Processing and Attrition Behavior from MOOC Video

clickstream Interactions. Proceedings of the 2014 Conference on Empirical Methods

in Natural Language Processing (EMNLP), 3–14.

Walsh, J. N., O’Brien, M. P. & Slattery, D. M. (2019). Video Viewing Patterns Using Different Teaching Treatments: A Case Study Using YouTube Analytics. Research in Education and Learning Innovation Archives, 22.

Zainuddin, Z. & Attaran, M. (2016). Malaysian students’ perception of flipped classroom: a case study. Innovations in Education and Teaching International, 53(6), 660-670.


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