Advertisement

Time Analysis of Teaching and Learning Method Based on LOVE Model

  • Athakorn Kengpol
  • Nitidetch KoohathongsumritEmail author
  • Warapoj Meethom
Conference paper
  • 24 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1134)

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.

Keywords

Time analysis LOVE model Teaching method Learning experience 

Notes

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.

References

  1. 1.
    Krajcik, J., Mcneill, K.L., Reiser, B.: Learning-goals-driven design model: developing curriculum materials that align with national standards and incorporate project-based pedagogy. Sci. Educ. 92, 1–32 (2008)CrossRefGoogle Scholar
  2. 2.
    Kerby, D., Romine, J.: Develop oral presentation skills through accounting curriculum design and course-embedded assessment. J. Educ. Bus. 85, 172–179 (2009)CrossRefGoogle Scholar
  3. 3.
    Davis, E., Krajcik, J.: Designing educative curriculum materials to promote teacher learning. Educ. Res. 34, 3–14 (2005)CrossRefGoogle Scholar
  4. 4.
    Coenders, F., et al.: The effects of the design and development of a chemistry curriculum reform on teachers’ professional growth: a case study. J. Sci. Teach. Educ. 21, 535–557 (2010)CrossRefGoogle Scholar
  5. 5.
    Hussadintorn Na Ayutthaya, D., Koomsap, P.: Assessment of student learning experience with ‘LOVE’. In: 11th Annual International Technology, Education and Development Conference (IATED), Valencia, Spain (2017)Google Scholar
  6. 6.
    Hussadintorn Na Ayutthaya, D., Koomsap, P.: An application of ‘LOVE’ model for assessing research experience. In: 25th ISTE International Conference on Transdisciplinary Engineering (TE), Modena, Italy (2018)Google Scholar
  7. 7.
    Hussadintorn Na Ayutthaya, D., et al.: Learning experience from teaching and learning methods in engineering education: instructors’ viewpoint. In: 13th International Technology, Education and Development Conference (INTED), Valencia, Spain (2019)Google Scholar
  8. 8.
    Nitkiewicz, T., et al.: The quality of education on workplace safety master studies-the issue of teaching methods. Syst. Saf.: Hum. Tech. Facil. Environ. 1, 661–669 (2019)Google Scholar
  9. 9.
    Gilakjani, A.P.: Visual, auditory, kinaesthetic learning styles and their impacts on English language teaching. J. Stud. Educ. 2, 104–113 (2012)CrossRefGoogle Scholar
  10. 10.
    Kelly, D.L., Kolstad, C.D.: Bayesian learning, growth, and pollution. J. Econ. Dyn. Control 23, 491–518 (1999)CrossRefGoogle Scholar
  11. 11.
    Bentsen, P., Jensen, F.S.: The nature of udeskole: outdoor learning theory and practice in Danish schools. J. Adv. Educ. Outdoor Learn. 12, 199–219 (2012)CrossRefGoogle Scholar
  12. 12.
    Mccarthy, P.R., Mccarthy, H.M.: When case studies are not enough: integrating experiential learning into business curricula. J. Educ. Bus. 81, 201–204 (2006)CrossRefGoogle Scholar
  13. 13.
    Miettinen, R.: The concept of experiential learning and John Dewey’s theory of reflective thought and action. Int. J. Lifelong Educ. 19, 54–72 (2000)CrossRefGoogle Scholar
  14. 14.
    Healey, M., Jenkins, A.: Kolb’s experiential learning theory and its application in geography in higher education. J. Geogr. 99, 185–195 (2000)CrossRefGoogle Scholar
  15. 15.
    Pedersen, S., Liu, M.: Teachers’ beliefs about issues in the implementation of a student-centered learning environment. Educ. Tech. Res. Dev. 51, 57–76 (2003)CrossRefGoogle Scholar
  16. 16.
    de la Sablonnière, R., Taylor, D., Sadykova, N.: Challenges of applying a student- centered approach to learning in the context of education in Kyrgyzstan. Int. J. Educ. Dev. 29, 628–634 (2009)CrossRefGoogle Scholar
  17. 17.
    Kengpol, A., Tuammee, S.: The development of a decision support framework for a quantitative risk assessment in multimodal green logistics: an empirical study. Int. J. Prod. Res. 51, 1020–1038 (2016)CrossRefGoogle Scholar
  18. 18.
    Kengpol, A., Tuammee, S., Tuominen, M.: The development of a framework for route selection in multimodal transportation. Int. J. Logist. Manag. 25, 581–610 (2014)CrossRefGoogle Scholar
  19. 19.
    Meethom, W., Koohathongsumrit, N.: Design of decision support system for road freight transportation routing using Multilayer Zero One Goal Programming. Eng. J. 22, 185–205 (2018)CrossRefGoogle Scholar
  20. 20.
    Meethom, W., Koohathongsumrit, N.: An integrated potential assessment criteria and TOPSIS based decision support system for road freight transportation routing. Appl. Sci. Eng. Prog. (in press)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Athakorn Kengpol
    • 1
  • Nitidetch Koohathongsumrit
    • 2
    Email author
  • Warapoj Meethom
    • 1
  1. 1.King Mongkut’s University of Technology North BangkokBangkokThailand
  2. 2.Ramkhamhaeng UniversityBangkokThailand

Personalised recommendations