Abstract
Thailand Higher Education is changing over the tradition teaching and learning method approach to the outcome based education. The instructors must redesign their courses in active learning for balancing the learner experience. The four main dimensions for assessment framework are learning (L), observing (O), visiting (V), and experimenting (E). These dimensions are grouped and named as LOVE model which can be classified for teaching and learning method to balancing the student learning experience. Time analysis of teaching and learning method based on the LOVE model is adapted to analyze 7 science courses from two universities: 2 graduate courses and 5 undergraduate courses. The results showed the percentage of teaching and learning dimensions are as follows. The “L” is at 38.31%. The “O” is at 55.03%. The ‘E” is at 6.67%. But the “V” does not appear during the lecturing. In addition, the consequences demonstrate that each course must be improved for the learner experience to complete the loop. The student can gain the learning experience when the four dimensions are offered to them. The LOVE model is the essential tool for learning experience assessment based on teaching and learning method. The performances of teaching and learning method are reflected by the LOVE dimensions. This issue encourages that the instructors should achieve the course objectives for transferring the immersive knowledge into the empirical experience which are increasingly transferred into the competency.
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Acknowledgement
This research was funded by King Mongkut’s University of Technology North Bangkok Contract No. KMUTNB-NRU-58-05. This research was also funded by ERASMUS + Programme of the European Union, Project No. 586137-EPP-1-2017-1-TH-EPPKA2-CBHE-JP, and Grant Agreement Number: 2017-3515/001-001.
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Kengpol, A., Koohathongsumrit, N., Meethom, W. (2020). Time Analysis of Teaching and Learning Method Based on LOVE Model. In: Auer, M., Hortsch, H., Sethakul, P. (eds) The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-030-40274-7_51
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