Teacher’s Perspective on Students’ Engagement across Gender in Writing Class Using Google Classroom Platform

Mega Indah Mutiarasari, Ngadiso Ngadiso, Diah Kristina

Abstract


How teacher perceives students' interaction and activities can play a crucial role in assessing educational progress and cultivating a more fruitful and meaningful learning experience, particularly when considering the gender factor. This study aimed to investigate teacher's perspective regarding students' engagement across gender in a writing class using Google Classroom platform. It used qualitative approach through case study method. Purposive sampling technique was employed to select an English teacher at the vocational high school level that used Google Classroom in teaching writing as the participant of this study. To fulfill the research goal, teacher’s interview were conducted which was supported by documentation to collect the data. For data analysis, an interactive model of analysis was employed to derive findings and conclusions of the research. The outcomes revealed a noticeable gap in students' engagement between male and female students in writing class facilitated by the Google Classroom platform, according to teacher perception. Female students engaged in online discussions had greater enthusiasm and actively responded to teacher's or other students' comments on online forum. In contrast, male students preferred to interact with their peers in real setting. It was influenced by their participation, performance, emotional responses, and skills.


Keywords


Gender; Google Classroom; Students Engagement; Teacher Perspective; Writing

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References


Alghamdi, A., Karpinski, A. C., Lepp, A., & Barkley, J. (2020). Online and face-to-face classroom multitasking and academic performance: Moderated mediation with self-efficacy for self-regulated learning and gender. Computers in Human Behavior, 102, 214–222. https://doi.org/10.1016/j.chb.2019.08.018

Apriani, E., Arsyad, S., Syafryadin, Supardan, D., Gusmuliana, P., & Santiana. (2022). ICT platforms for Indonesian EFL students viewed from gender during the COVID-19 pandemic. Studies in English Language and Education, 9(1), 187-202. https://doi.org/10.24815/siele.v9i1.21089

Boyte-Eckis, L., Minadeo, D. F., Bailey, S. S., & Bailey, W. C. (2018). Age, gender, and race as predictors of opting for a midterm retest: A statistical analysis of online economics students. The Journal of Business Diversity, 18(1), 17–28.

Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1–13.

Creswell, J. W. (2009). Research design: qualitative, quantitative, and mixed methods approaches. SAGE.

Dawson, C. (2009). Introduction to Research Methods. London: Routledge.

Efron, R. (1969). What is perception? In R. S. Cohen & M. W. Wartofsky (Eds.), Proceedings of the Boston Colloquium for the Philosophy of Science 1966/1968 (pp. 137-173). Springer.

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School Engagement: Potential of the Concept, State of the Evidence. Review of Educational Research, 74(1), 59-109. http://dx.doi.org/10.3102/00346543074001059

Gašević, D., Dawson, S., Rogers, T., & Gasevic, D. (2016). Learning analytics should not promote one size fts all: The efects of instructional conditions in predicting academic success. The Internet and Higher Education, 28, 68–84.

Harvey, H. L., Parahoo, S., & Santally, M. (2017). Should gender diferences be considered when assessing student satisfaction in the online learning environment for millennials? Higher Education Quarterly, 71(2), 141–158. https://doi.org/10.1111/hequ.12116

Mahawar, M. S., & Nandedkar, T. (2019). Students’ perception towards effectiveness of e-learning. UNNAYAN: International Bulletin of Management and Economics, 10, 189-194.

Miles, M.B., Huberman, A.M. & Saldana, J. (2014). Qualitative Data Analysis: A Methods Sourcebook. Sage.

Murphrey, T. P., & Arnold, S. (2012). Verbal immediacy and audio/video technology use in online course delivery: What do university agricultural education students think? Journal of Agricultural Education, 53(3), 14-27. https://doi.org/10.5032/jae.2012.03014

Nielsen, M. W., Alegria, S., Börjeson, L., Etzkowitz, H., Falk-Krzesinski, H. J., Joshi, A., Leahey, E., Smith-Doerr, L., Woolley, A. W. & Schiebinger, L. (2017). Opinion: Gender diversity leads to better science. Proceedings of the National Academy of Sciences, 114(8), 1740-1742. https://doi.org/10.1073/pnas.1700616114

Rafiq, F., Hussain, S., & Abbas, Q. (2020). Analyzing students’ attitude towards e-learning: A case study in higher education in Pakistan. Pakistan Social Sciences Review, 4(1), 367-380. http://doi.org/10.35484/pssr.2020(4-I)29

Richardson, J. T., & Woodley, A. (2003). Another look at the role of age, gender and subject as predictors of academic attainment in higher education. Studies in Higher Education, 28(4), 4.

Rojabi, A. R. (2020). Exploring EFL students’ perception of online learning via Microsoft Teams: University level in Indonesia. English Language Teaching Educational Journal, 3(2), 163-173. https://doi.org/10.12928/eltej.v3i2.2349

Tsokova, Y., Taneva, T., Tornyova, B., & Cherkezov, T. (2017). Undergraduate healthcare students’ attitude to e-learning at Medical University-PLOVDIV. CBU International Conference Proceedings, 5, 855-861. https://doi.org/10.12955/cbup.v5.1038

Yin R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage.




DOI: http://dx.doi.org/10.18415/ijmmu.v11i2.5428

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