Involvement of Students in Online Learning During the Covid-19 Pandemic Based on Gender and Domicile: Analysis Using the Rasch Method

  • Debora Debora Universitas Palangka Raya
  • Wiyogo Palangka Raya University
Keywords: online learning, students, pandemic covid-19, domicile, gender


This study aims to analyze the online learning activities that are most often carried out, the constraints that students have, responses to online learning and students' understanding of the material delivered by lecturers. This study used a survey method using an online questionnaire with the Google Forms platform. This research was conducted at FKIP Palangka Raya University with a total of 34 students. The sampling technique used is simple random sampling with a sample of all students. Data collection techniques through questionnaires, observation and documentation. Test the validity of the items in this study using the content validity test while the reliability test using the test-retest technique. The application of online learning at the FKIP of Palangka Raya University uses the zoom application in the form of learning by lecturers providing explanations of material. The obstacle that students have in online learning is a weak internet network, because the majority of students live in areas with poor signal. As a result, students have a lack of understanding of the material presented by the lecturer. This online learning is very good to use, it's just that it has to be supported by adequate infrastructure and training needs to be provided for lecturers who are unable to explore the use of technology.


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Adams, D., Chuah, K. M., Mohamed, A., & Sumintono, B. 2021. Bricks to Clicks : Students ’ Engagement in E-Learning during the COVID-19 Pandemic. 36(2), 99–117.

Akhter, S., Javed, M. K., Syah, S. Q., & Javaid, D. A. 2021. Highlighting the Advantages and Disadvantages of E-Learning. Psychology and Education, 58(5), 1607–1614.

Ariyanti, N. S., Wiyono, B. B., Timan, A., Burhanuddin, B., & Mustiningsih, M. 2020. Perbedaan Tingkat Kinerja Ditinjau Dari Jenis Kelamin Pegawai Tata Usaha Di Perguruan Tinggi. Jurnal Administrasi Dan Manajemen Pendidikan, 3(3), 233–238.

Ayu, G., Dyah, N., Ayu, I. G., & Fridari, D. 2018. Perbedaan Motivasi Belajar Siswa Ditinjau Dari Jenis Kelamin dan Urutan Kelahiran di SMAN 1 Tabanan Dengan Sistem Full Day School. Jurnal Psikologi Udayana, 032, 145–155.

Boone, W. J., & Staver, J. 2014. Rasch Analysis In the Human Science. Springer.

Cavanagh, R. F., & Romanoski, J. T. 2006. Rating scale instruments and measurement. Learning Environments Research, 9(3), 273–289.

Cristiano, K. L., & Triana, D. A. 2019. Google classroom as a tool-mediated for learning. Journal of Physics: Conference Series, 1161(1).

El-Sayad, G., Md Saad, N. H., & Thurasamy, R. 2021. How higher education students in Egypt perceived online learning engagement and satisfaction during the COVID-19 pandemic. Journal of Computers in Education, 8(4), 527–550.

Engelhard, G., Wang, J., & Wind, S. A. 2018. A tale of two models: Psychometric and cognitive perspectives on rater-mediated assessments using accuracy ratings. Psychological Test and Assessment Modeling, 60(1), 33–52.

Febrilia, B. R. A., Nissa, I. C., Pujilestari, & Setyawati, D. U. 2020. Analisis Keterlibatan dan Respon Mahasiswa dalam Pembelajaran Daring Menggunakan Google Clasroom di Masa Pandemi Covid-19. FIBONACCI: Jurnal Pendidikan Matematika Dan Matematika, 6(2), 175–184.

Fredricks, J., Blumenfeld, P., & Paris, A. 2004. School Engagement : Potential of the Concept , State of the Evidence Authors ( s ): Jennifer A . Fredricks , Phyllis C . Blumenfeld and Alison H . Paris Published by : American Educational Research Association Stable URL : Review of Educational Research, 74(1), 59–109.

Guo, P. J., Kim, J., & Rubin, R. 2014. How video production affects student engagement: An empirical study of MOOC videos. L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, 41–50.

Guzdial, M., Li, B., & Riedl, M. O. 2017. Game engine learning from video. IJCAI International Joint Conference on Artificial Intelligence, 0, 3707–3713.

Heggart, K. R., & Yoo, J. 2018. Getting the most from google classroom: A pedagogical framework for tertiary educators. Australian Journal of Teacher Education, 43(3), 140–153.

Jana, S. 2018. DeepTest: Automated testing of deep-neural-network-driven autonomous cars. In Proceedings - International Conference on Software Engineering (Vol. 2018).

Kim, J., Guo, P. J., Seaton, D. T., Mitros, P., Gajos, K. Z., & Miller, R. C. 2014. Understanding in-video dropouts and interaction peaks in online lecture videos. L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, 31–40.

Kristanto, Y. D. 2018. Calon Pengajar Sebagai Produser: Berlatih Merancang Pembelajaran Melalui Produksi Video.

Kumar, J. A., & Bervell, B. 2019. Google Classroom for mobile learning in higher education: Modelling the initial perceptions of students. Education and Information Technologies, 24(2), 1793–1817.

Muhajir, M., Musfikar, R., & Hazrullah, H. 2019. Efektivitas Penggunaan E-Learning Berbasis Edmodo Terhadap Minat Dan Hasil Belajar (Studi Kasus Di Smk Negeri Al Mubarkeya). Cyberspace: Jurnal Pendidikan Teknologi Informasi, 3(1), 50.

Muzyanah, S., Asmaningrum, H. P., & Buyang, Y. 2018. Efektivitas Penggunaan Media Edmodo Sebagai Penunjang Pembelajaran Kimia. Musamus Journal of Science Education, 1(1), 033–045.

Nasution, F. R., Adlika, N. M., & Tampubolon, B. 2022. Analisis Perhatian Dan Keterlibatan Siswa Pada Pembelajaran Secara Daring. Jurnal Pendidikan Sosiologi Dan Humaniora, 13(1), 91.

Peter T.Ewell. (n.d.). The US National Survey of Student Engagement (NSSE). In D. D. Dill & M. Beerkens (Eds.), Public Policy for Academic Quality Analyses of Innovative Policy Instruments (pp. 83–97). Springer New York LLC.

Purba, J. E. L., Nababan, G., & Aji, K. A. 2021. Mengukur Keterlibatan Siswa Dalam Pembelajaran Online Siswa Kelas Vii Di Sekolah Abc Pada Pembelajaran Matematika. Jurnal Magister Pendidikan Matematika (JUMADIKA), 3(2), 100–109.

Ramis-Conde, I., & Hope, A. 2020. Training teachers in maintaining equity in the micro-moments of a mathematical dialogue. Teaching and Teacher Education, 87, 102924.

Sarmiento, W. J., & Mesa-Romero, S. 2018. Art, science and technology, brief reflections on interdisciplinary work. TecnoLógicas, 21(41), 9–11.

Shi, J., Newberry, E., & Zhang, B. 2017. On broadcast-based self-learning in named data networking. 2017 IFIP Networking Conference ….

So, W. M. W. 2009. Use of micro-teaching videos in teacher education: Computer-supported collaborative learning. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5685 LNCS, 260–271.

Sumintono, B., & Widhiarso, W. 2014. Model Rasch Untuk Penelitian Ilmu-Ilmu Sosial (Revisi). Tim Kumunikata.

Sumintono, B., & Widiarso, W. 2014. Aplikasi Model Rasch (Revisi). Trim Komunikata Publishing Hause.

summary-LinacreJM-set. (n.d.).

Vhalery, R., Setyastanto, A. M., & Alfilail, S. N. 2021. Pembelajaran Berbasis Online “Zoom” Pada Kesiapan Belajar Mahasiswa Di Masa Pandemi Covid-19. Research and Development Journal of Education, 7(1), 215.

How to Cite
Debora, D. and Wiyogo, W. 2023. Involvement of Students in Online Learning During the Covid-19 Pandemic Based on Gender and Domicile: Analysis Using the Rasch Method. Jurnal Ilmiah Kanderang Tingang. 14, 1 (Jan. 2023), 58-69. DOI:

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