Online Learning Quality of Engineering Faculty Universitas Negeri Surabaya Towards Legal Entity State University
Abstract
Analysis of the quality of the learning process is very important in teaching and learning activities in ensuring and maintaining the quality of learning well. In the teaching and learning process, the quality assurance instrument or learning quality is an instrument or tool that aims to improve quality in the education sector through observations and assessments produced by research on students. The objective of this research is to test the quality of the online learning process during the Covid-19 pandemic at the Faculty of Engineering (FT) of the State University of Surabaya (Unesa) towards a Legal Entity Higher Education (PTN-BH). The method used in this research is descriptive qualitative which aims to find out social phenomena from the point of view of students and lecturers. The result of this study is that from the ten statements given to respondents, all shown positive results. it can be concluded that Faculty of Engineering students and lecturers support Unesa to become a Legal Entity State University.
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References
Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 2020(5), 1-13. https://doi.org/10.1080/10494820.2020.1813180
Bao, W. (2020). COVID‐19 and online teaching in higher education: A case study of Peking university. Human Behavior and Emerging Technologies, 2(2), 113-115. https://doi.org/10.1002/hbe2.191
Campbell, L. O., & Cox, T. (2018). Digital video as a personalized learning assignment: a qualitative study of student authored video using the ICSDR model. Journal of the Scholarship of Teaching and Learning, 18(1), 11–24. https://doi.org/10.14434/josotl.v18i1.21027
da Costa, K. A. P., Papa, J. P., Lisboa, C. O., Munoz, R., & de Albuquerque, V. H. C. (2019). Internet of things: A survey on machine learning-based intrusion detection approaches. Computer Networks, 151(1), 147-157. https://doi.org/10.1016/j.comnet.2019.01.023
Dubey, A. D. (2016). ICT in education. International Journal of Information and Communication Technology Education, 12(4), 37–50. https://doi.org/10.4018/IJICTE.2016100104
Elzagheid, M. I. (2019). Jubail industrial college (JIC) educational quality assurance and management procedures: Chemical and process engineering technology department as an example. European Journal of Educational Research, 8(3), 659-669. https://doi.org/10.12973/eu-jer.8.3.659
Erol, S., Jäger, A., Hold, P., Ott, K., & Sihn, W. (2016). Tangible industry 4.0: A scenario-based approach to learning for the future of production. Procedia CIRP, 54(1), 13-18. https://doi.org/10.1016/j.procir.2016.03.162
Haave, N. C., Keus, K., & Simpson, T. (2018). A learning philosophy assignment positively impacts student learning outcomes. Collected Essays on Learning and Teaching, 11(1), 42-64. https://doi.org/10.22329/celt.v11i0.4969
Honingh, M., Ruiter, M., & Thiel, S. van. (2020). Are school boards and educational quality related? Results of an international literature review. Educational Review, 72(2), 157-172. https://doi.org/10.1080/00131911.2018.1487387
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255-260. https://doi.org/10.1126/science.aaa8415
Kauffman, H. (2015). A review of predictive factors of student success in and satisfaction with online learning. Research in Learning Technology, 25(1), 1-13. https://doi.org/10.3402/rlt.v23.26507
Khattab, N. (2015). Students’ aspirations, expectations and school achievement: What really matters? British Educational Research Journal, 41(5), 731-748. https://doi.org/10.1002/berj.3171
Király, G., & Géring, Z. (2019). Editorial: Introduction to ‘futures of higher education’ special issue. Futures, 111(3), 123-129. https://doi.org/10.1016/j.futures.2019.03.004
Li, J., Monroe, W., Shi, T., Jean, S., Ritter, A., & Jurafsky, D. (2017). Adversarial learning for neural dialogue generation. EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, 2017(1), 2157-2169. https://doi.org/10.18653/v1/d17-1230
Markova, T., Glazkova, I., & Zaborova, E. (2017). Quality issues of online distance learning. Procedia-Social and Behavioral Sciences, 237(1), 685-691. https://doi.org/10.1016/j.sbspro.2017.02.043
Mukhtar, K., Javed, K., Arooj, M., & Sethi, A. (2020). Advantages, limitations and recommendations for online learning during covid-19 pandemic era. Pakistan Journal of Medical Sciences, 36(4), 27-31. https://doi.org/10.12669/pjms.36.COVID19-S4.2785
Nguyen, T. T., Pham, H. H., Cao, Q. T., Nguyen, X. A., & Do, M. T. (2021). Investigating the impacts of core educational quality on the satisfaction and loyalty of parents of secondary school students: The mediating role of transformative quality. Cogent Education, 8(1), 1-20. https://doi.org/10.1080/2331186X.2021.1911283
Nugroho, Y. S., & Paleologoudias, A. K. (2020). Differences between students from senior high school and vocational school in the learning outcomes of electrical engineering students. International Conference on Vocational Education and Electrical Engineering (ICVEE), 3(1), 1-5. https://doi.org//10.1109/ICVEE50212.2020.9243189
Nugroho, Y. S., Anifah, L., Sulistiyo, E., Cahyaningtias, S., & Rifqi Firmansyah. (2021). Analysis of learning quality with internet-based distance learning during the covid-19 pandemic. IJORER: International Journal of Recent Educational Research, 2(1), 96–110. https://doi.org/10.46245/ijorer.v2i1.81
Nugroho, Y. S., Munoto, Basuki, I., Ismayati, E., & Paleologoudias, A. (2021). Future educational aspirations of electrical engineering students. Vocational Education and Electrical Engineering (ICVEE), 4(1), 1–6. https://doi.org/10.1109/ICVEE54186.2021.9649718
Nurtanto, M., Sofyan, H., Fawaid, M., & Rabiman, R. (2019). Problem-based learning (PBL) in industry 4.0: Improving learning quality through character-based literacy learning and life career skill (LL-LCS). Universal Journal of Educational Research, 7(11), 2487-2494. https://doi.org/10.13189/ujer.2019.071128
Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018). Online learning: Adoption, continuance, and learning outcome-a review of literature. International Journal of Information Management, 43(1), 1-14. https://doi.org/10.1016/j.ijinfomgt.2018.05.005
Puriwat, W., & Tripopsakul, S. (2021). The impact of e-learning quality on student satisfaction and continuance usage intentions during covid-19. International Journal of Information and Education Technology, 11(8), 368-374. https://doi.org/10.18178/ijiet.2021.11.8.1536
Sánchez, S. P., Belmonte, J. L., Cabrera, A. F., & Núñez, J. A. L. (2020). Gamification as a methodological complement to flipped learning an incident factor in learning improvement. Multimodal Technologies and Interaction, 4(2), 12-20. https://doi.org/10.3390/mti4020012
Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. Internet and Higher Education, 19(1), 10-17. https://doi.org/10.1016/j.iheduc.2013.04.001
Sugiharti, G., Dalimunthe, M., & Syuhada, F. A. (2020). Learning media animations for subject evaluation and chemistry learning outcomes. Journal of Physics: Conference Series, 1462(1), 1-5. https://doi.org/10.1088/1742-6596/1462/1/012021
Sun, C., Zou, J., Zhao, L., Wang, Q., Zhang, S., Ulain, Q., Song, Q., & Li, Q. (2020). New doctor-patient communication learning software to help interns succeed in communication skills. BMC Medical Education, 20(1), 1-8. https://doi.org/10.1186/s12909-019-1917-z
Wang, T. H. (2014). Developing an assessment-centered e-Learning system for improving student learning effectiveness. Computers and Education, 73(1), 189–203. https://doi.org/10.1016/j.compedu.2013.12.002
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