Profile of Online Learning in Building Engineering Education Study Program During the COVID-19 Pandemic
Abstract
This study attempts to discuss the profile of brave learning during the COVID-19 pandemic: (1) validity and reliability of instrument; (2) interesting learning for students; (3) implementation of learning; (3) strengths and weaknesses of learning; and (4) application that matches the learning profile and the condition of the existing internet network. The participant of this study were students and lecturers supporting courses in the Building Engineering Education study program. Data collection uses quantitative and qualitative methods. The questionnaire was given by online to 67 students and 6 lecturers. The result of this research shows that (1) questionnaire instruments have been tested as valid and reliable; (2) online learning is not all interesting; (3) online learning has been implemented, but some lecturers have problems when making corrections, the condition of the internet network in some regions is not smooth enough to be an obstacle for students to access applications; (4) using of the application adjusts the online learning profile and the condition of the internet network in the area. The conclusion reveals that applications of online learning must be easily accessible, used, interesting, and needs to be combined with several applications to provide the perfection of delivery and acceptance of material in teaching and learning activities.
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Al-azawei, A., & Al-Masoudy, M.A.A. (2020). Predicting learners’ performance in virtual learning environment (VLE) based on demographic, behavioral and engagement antecedents. International Journal of Emerging Technologies in Learning, 15(9), 60–75.
Al-maroof, R.A.S., & Al-emran, M. (2018). Students Acceptance of google classroom: An exploratory study using PLS-SEM approach. International Journal of Emerging Technologies in Learning, 13(6), 112–123.
Albashtawi, A.H., Bader, K., & Bataineh, A. (2020). The effectiveness of google classroom among EFL students in jordan : an innovative teaching and learning online platform. International Journal of Emerging Technologies in Learning, 15(11), 78–88.
Alomari, H.W., Ramasamy, V., Kiper, J.D., & Potvin, G. (2020). A User Interface ( UI ) and User eXperience ( UX ) evaluation framework for cyberlearning environments in computer science and software engineering education. Heliyon, 6, e03917.
Ansong-gyimah, K. (2020). Students’ perceptions and continuous intention touse e-learning systems : The case of google classroom. International Journal of Emerging Technologies in Learning, 15(11), 236–244.
Blilat, A., & Ibriz, A. (2020). Design and Implementation of P2P Based Mobile App for Collaborative Learning in Higher Education. International Journal of Emerging Technologies in Learning, 14(7), 115–132.
El-sofany, H.F., Science, C., El-haggar, N., & Arabia, S. (2020). The effectiveness of using mobile learning techniques to improve learning outcomes in higher education. International Journal of Emerging Technologies in Learning, 14(8), 4–18.
Güven, S. (2010). Evaluation of life sciences teachers’ books according to teachers’ opinions. Procedia Social and Behavioral Sciences, 2, 1914–1918.
Hamid, H., & Aras, I. (2020). Blended learning in research statistics course at the english education department of Borneo Tarakan. International Journal of Emerging Technologies in Learning, 15(7), 61–73.
Hazim, H. T. (2020). Design and implementation of an e-learning platform using N-TIER architecture. International Journal of Emerging Technologies in Learning, 14(6), 171–185.
Hill, J., West, H., Hill, J., & West, H. (2019). Improving the student learning experience through dialogic feed-forward assessment feed-forward assessment. Assessment & Evaluation in Higher Education, 45(1), 1-16.
Hogo, M.A. (2010). Applications evaluation of e-learning systems based on fuzzy clustering models and statistical tools. Expert Systems With Applications, 37(10), 6891–6903.
Indriani, F., & Atiaturrahmaniah. (2019). Evaluation of the implementation of integrative thematic learning: A qualitative research approach phenomenology. Jurnal Penelitian Dan Evaluasi Pendidikan, 23(2), 184–196.
Jorge, M.M., Neuhann, F., Barnighausen, T., Jahn, A., Guzek, D., & Barteit, S. (2018). Evaluation of e-learning for medical education in low- and middle-income countries : A systematic review. Computers & Education Journal, 145(September 2018), 103726.
Khan, Z.F., & Alotaibi, S. R. (2020). Design and implementation of a computerized user authentication system for e-Learning. International Journal of Emerging Technologies in Learning, 15(9), 4–18. https://doi.org/https://doi.org/10.3991/ijet.v15i09.12387
Limatahu, I., & Mubarok, H. (2020). CCDSR learning model : Innovation in physics learning. IJORER: International Journal of Recent Educational Education, 1(1), 19–29.
Mamun, A. Al, Lawrie, G., & Wright, T. (2020). Instructional design of scaffolded online learning modules for self- directed and inquiry-based learning environments. Computers & Education, 144(September 2019), 103695. https://doi.org/10.1016/j.compedu.2019.103695
Novo-corti, I., Varela-candamio, L., & Ramil-díaz, M. (2013). E-learning and face to face mixed methodology : Evaluating effectiveness of e-learning and perceived satisfaction for a microeconomic course using the Moodle platform. Computers in Human Behavior, 29(Juli 2012), 410–415. https://doi.org/10.1016/j.chb.2012.06.006
Pandiangan, P., Sanjaya, I.G.M., & Jatmiko, B. (2017). The validity and effectiveness of physics independent learning model to improve physics problem solving and self- directed learning skills of students in open and distance education systems. Journal of Baltic Science Education, 16(5), 651–665.
Pfahl, D., & Laitenberger, O. (2004). Evaluating the learning effectiveness of using simulations in software project management education : Results from a twice replicated experiment. Information and Software Technology, 46(2), 127–147. https://doi.org/10.1016/S0950-5849(03)00115-0
Prahani, B.K., Jatmiko, B., Hariadi, B., Sunarto, D., Sagirani, T., Amelia, T., & Lemantara, J. (2020). Blended Web Mobile Learning (BWML) model to improve students ’ higher order thinking skills. International Journal of Emerging Technologies in Learning, 15(11), 42–55.
Rosenblatt, M.A. (2004). The educational effectiveness of problem-based learning discussions as evaluated by learner-assessed satisfaction and practice change. Journal of Clinical Anesthesia, 16(Desember 2004), 596–601. https://doi.org/10.1016/j.jclinane.2003.12.015
Rutter, M.J., & Smith, S. (2019). Extending the technology acceptance model to understand students ’ use of learning management systems in saudi higher education. International Journal of Emerging Technologies in Learning, 14(3), 4–21.
Sa, A., Filho, D.C., Fantini, W.D.S., Atan, M., Santos, J., & Moreira, F. (2019). Health student using google classroom: Satisfaction analysis. International Workshop on Learning Technology for Education in Cloud, 1, 58–66. https://doi.org/10.1007/978-3-030-20798-4
Savec, V.F., & Devetak, I. (2013). Evaluating the effectiveness of students’ active learning in chemistry. Procedia - Social and Behavioral Sciences, 106, 1113–1121.
Tompong, B.N.K.J., & Jailani. (2019). An evaluation of mathematics learning program at primary education using countenance stake evaluation model. Jurnal Penelitian Dan Evaluasi Pendidikan, 23(2), 156-169.
Tubagus, M., & Muslim, S. (2020). Development of Learning Management System-Based Blended Learning Model using Claroline in Higher Education. International Journal of Emerging Technologies in Learning, 14(6), 186–194.
Uttl, B., White, C.A., & Gonzalez, D.W. (2016). Meta-analysis of faculty’s teaching effectiveness : Student evaluation of teaching ratings and student learning are not related. Studies in Educational Evaluation, 54, 22–42.
Vivien, X., Chi, Y., Shih, Y., Wang, W., Neo, E., Ang, K., Zhao, S., Sehgal, V., Chi, F., Panneer, U., & Devi, M. K. (2020). A web-based clinical pedagogy program to enhance registered nurse preceptors’ teaching competencies-An innovative process of development and pilot program evaluation. Nurse Education Today, 84, 104215.
Wong, O.Y., Mrt, T., Gillan, C., Mrt, T., Harnett, N., Mrt, T., Li, W., & Mrt, T. (2017). Evaluating the effectiveness of an electronic learning tool for volumetric imaging training- perceptions of radiation therapy professionals. Journal of Medical Imaging and Radiation Sciences, 48(4), 370-376. https://doi.org/10.1016/j.jmir.2017.08.005
Yigit, T., Koyun, A., Sinan, A., & Arda, I. (2014). Evaluation of blended learning approach in computer engineering education. Procedia - Social and Behavioral Sciences, 141, 807–812. https://doi.org/10.1016/j.sbspro.2014.05.140
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