Online Learning Evaluation during Covid-19 using CSE-UCLA Evaluation Model at English Education Department Universitas Kristen Indonesia

Lamhot Naibaho

Abstract


This research is about the online learning evaluation during covid-19 using the CSE-UCLA evaluation model. It is was aimed to evaluate the implementation of online learning during COVID-19. This research was done at Universitas Kristen Indonesia (UKI) using a qualitative approach with an evaluative study design is the CSE-UCLA evaluation model design. The subjects of this study were lecturers and students and were taken through purposive sampling. The instruments used in this research were questionnaires and interviews, observations, and documentation. The data analysis technique used in evaluating online learning use at the UKI is based on the assessment system components, program planning, program implementation, program improvement, and including good criteria, in terms of quality level improvement programs including good program certification. The study's result was that, in general, the quality level of the online learning used at the UKI is already in good criteria. When viewed from the component system assessment level of quality including good criteria, in terms of quality level planning program including good criteria, in terms of quality level implementation of the program criteria, and when viewed from quality level certification programs also include good criteria.


Keywords


online learning; evaluation; Covid-19; CSE-UCLA model

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Abedi, J. (2002). A latent-variable modeling approach to assessing reliability and validity of a creativity instrument. Creativity Research Journal, 14(2), 267-276.

Agostinho, S., Meek, J., & Herrington, J. (2005). Design methodology for the implementation and evaluation of a scenario-based online learning environment. Journal of Interactive Learning Research, 16(3), 229-242.

Griff, E. R., & Matter, S. F. (2013). Evaluation of an adaptive online learning system. British Journal of Educational Technology, 44(1), 170-176.

Gündüz, A. Y., Alemdag, E., Yasar, S., & Erdem, M. (2016). Design of a Problem-Based Online Learning Environment and Evaluation of its Effectiveness. Turkish Online Journal of Educational Technology-TOJET, 15(3), 49-57.

Hew, K. F., & Cheung, W. S. (2014). Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges. Educational research review, 12, 45-58.

Heirdsfield, A., Walker, S., Tambyah, M., & Beutel, D. (2011). Blackboard as an online learning environment: What do teacher education students and staff think?. Australian Journal of Teacher Education (Online), 36(7), 1-16.

Kim, J., & Seltzer, M. (2007). Causal inference in multilevel settings in which selection processes vary across schools.

Kumar, R., Chung, G. K., Madni, A., & Roberts, B. (2015, June). First evaluation of the physics instantiation of a problem-solving-based online learning platform. In International conference on artificial intelligence in education (pp. 686-689). Springer, Cham.

Kupermintz, H., & Roeser, R. (2002). Another Look at Cognitive Abilities and Motivational Processes in Science Achievement: A Multidimensional Approach to Achievement Validation. CSE Technical Report.

Means, B., Bakia, M., & Murphy, R. (2014). Learning online: What research tells us about whether, when and how. Routledge

Moore, M. G., & Kearsley, G. (2011). Distance education: A systems view of online learning. Cengage Learning.

Musingafi, M. C., Mapuranga, B., Chiwanza, K., & Zebron, S. (2015). Challenges for open and distance learning (ODL) students: Experiences from students of the Zimbabwe Open University. Journal of Education and Practice, 6(18), 59-66.

Nadeak, B., Naibaho, L., Sunarto, S., Tyas, E. H., & Sormin, E. (2021). Learning Management in Suburban Schools During the Midst of COVID-19. Psychology and Education Journal, 58(2), 1131-1139.

Nadeak, B., Juwita, C. P., Sormin, E., & Naibaho, L. (2020). The relationship between students' critical thinking skills and the use of social media on learning outcomes during the Covid-19 pandemic. Jurnal Konseling dan Pendidikan, 8(2), 98-104.

Nadeak, B., Naibaho, L., & Silalahi, M. (2020). COVID-19 and Students’ Anxiety Management. International Journal of Innovation, Creativity and Change, 13(7), 1574-1587.

Newcomer, K. E., Hatry, H. P., & Wholey, J. S. (2015). Handbook of practical program evaluation. John Wiley & Sons.

Page, T., Thorsteinsson, G., Uden, L., & Lehtonen, M. (2008). A Methodology for the Evaluation of Online Learning Resources. Journal of Educational Technology, 4(4), 16-27.

Prasasti, T ET AL. (2019). The Effectiveness of Learning Media Folklore Text of North Sumatera Based on Blended Learning by 10th Grade Students of Vocational High SchoolHarapan Mekar-1 MedaN. Budapest International Research and Critics in Linguistics and Education (BirLE) Journal. P. 480-490

Seltzer, M., Choi, K., & Thum, Y. M. (2002). Latent Variable Modeling in the Hierarchical Modeling Framework: Exploring Initial Status X Treatment Interactions in Longitudinal Studies. CSE Technical Report.

Swan, K., Shen, J., & Hiltz, S. R. (2006). Assessment and collaboration in online learning. Journal of Asynchronous Learning Networks, 10(1), 45-62.

Tyas, E. H., & Naibaho, L. (2020). A harmony among of religious community is required amidst the covid-19 pandemic. International Journal of Research-GRANTHAALAYAH, 8(9), 422-428.

Tyas, E. H., Sunarto, S., & Naibaho, L. (2018). Evaluation of Students Centered Learning Learning Implementation by PPL FKIP-UKI Students at Mitra-PSKD School. Jurnal Selaras: Kajian Bimbingan dan Konseling serta Psikologi Pendidikan, 1(1), 69-80.

Voyce, J., Gouveia, M. J., Medinas, M. A., Santos, A. S., & Ferreira, R. F. (2015). A Donabedian model of the quality of nursing care from nurses’ perspectives in a Portuguese hospital: A pilot study. Journal of nursing measurement, 23(3), 474-484. Wahid, R et al. (2020). Digital Activism: Covid-19 Effects in Campus Learning. Budapest International Research and Critics in Linguistics and Education (BirLE) Journal. P. 1336-1342

Wicks, M. (2010). A National Primer on K-12 Online Learning. Version 2. International association for K-12 online learning.Poon, J. (2013). Blended learning: An institutional approach for enhancing students' learning experiences. Journal of online learning and teaching, 9(2), 271-288.

Wicks, D., Craft, B. B., Lee, D., Lumpe, A., Henrikson, R., Baliram, N., ... & Wicks, K. (2015). An evaluation of low versus high collaboration in online learning. Online Learning, 19(4), n4.

Zhou, S., Gong, J., Xiong, G., Chen, H., & Iagnemma, K. (2010, June). Road detection using support vector machine based on online learning and evaluation. In 2010 IEEE intelligent vehicles symposium (pp. 256-261). IEEE.

Zimmerman, C., & Glaser, R. (2001). Testing Positive versus Negative Claims: A Preliminary Investigation of the Role of Cover Story on the Assessment of Experimental Design Skills. CSE Technical Report.




DOI: https://doi.org/10.33258/birci.v4i2.1887

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