In this paper, the studying targeted to make a practical application demonstration approach studying based on deep learning elements for the blended teaching and learning within the areas of education. The studying creates a DBTA model of the blended teaching method based on the concept of deep?learning, which enhances the effective consistency of online and offline?teaching activities, and improves the professional competence of students. A questionnaire is designed to verify the feasibility and science of the DBTA model,?which obtained valid questionnaires 197 from the education practitioners of high education in G province of mainland China. Through research analysis, the studying gained several practical views, illustrated the applicability of DBTA approach to developing?critical thinking awareness to get high-order thinking and enhance Lifelong-learning ability of students.
References
[1]
Alam, S., Albozeidi, H. F., Salameh Al-Hawamdeh, B. O., & Ahmad, F. (2022). Practice and Principle of Blended Learning in ESL/EFL Pedagogy: Strategies, Techniques and Challenges. International Journal of Emerging Technologies in Learning, 17, 225-241.
https://doi.org/10.3991/ijet.v17i11.29901
[2]
Algarni, B. M. (2023). Active Learning Strategies in the Flipped Classroom Approach. In Handbook of Research on Facilitating Collaborative Learning through Digital Content and Learning Technologies (pp. 384-399). IGI Global.
https://doi.org/10.4018/978-1-6684-5709-2.ch019
[3]
Amanisa, H. Z., & Maftuh, B. (2021). A Literature Review: Flipped Classroom Model to Developing Students’ Higher Order Thinking Skills. International Conference on Elementary Education, 3, 105-111.
[4]
Elzainy, A., & El Sadik, A. (2022). The Impact of Flipped Classroom: Evaluation of Cognitive Level and Attitude of Undergraduate Medical Students. Annals of Anatomy, 243, Article ID: 151952. https://doi.org/10.1016/j.aanat.2022.151952
[5]
Erman, E., Rosdiana, L., & Wakhidah, N. (2021). Deep Learning Ability of Students from Superior and Non-Superior Classes at Microscopic Level of Protein. Journal of Physics: Conference Series, 1747, Article ID: 012009.
https://doi.org/10.1088/1742-6596/1747/1/012009
[6]
Farooq, M. S., Hamid, A., Alvi, A., & Omer, U. (2022). Blended Learning Models, Curricula, and Gamification in Project Management Education. IEEE Access, 10, 60341-60361.
https://doi.org/10.1109/ACCESS.2022.3180355
[7]
Gupta, A. (2022). The Flipped Classroom Model as an Active Learning Approach. Journal of Optical Communication Electronics, 8, 15-22.
[8]
He, T., & Hu, X. (2022). A Review of Deep Learning Research in the Past Two Decades at Home and Abroad. Journal of Simulation, 10, 23.
[9]
Heilporn, G., Lakhal, S., & Bélisle, M. (2021). An Examination of Teachers’ Strategies to Foster Student Engagement in Blended Learning in Higher Education. International Journal of Educational Technology in Higher Education, 18, Article No. 25.
https://doi.org/10.1186/s41239-021-00260-3
[10]
Hrastinski, S. (2019). What Do We Mean by Blended Learning? TechTrends, 63, 564-569.
https://doi.org/10.1007/s11528-019-00375-5
[11]
Marton, F., & Saljo, R. (1976). On Qualitative Difference in Learning: I. Outcome and Process. British Journal of Educational Psychology, 46, 4-11.
https://doi.org/10.1111/j.2044-8279.1976.tb02980.x
[12]
Masuku, M. M., Jili, N. N., & Sabela, P. T. (2021). Assessment as a Pedagogy and Measuring Tool in Promoting Deep Learning in Institutions of Higher Learning. International Journal of Higher Education, 10, 274-283.
https://doi.org/10.5430/ijhe.v10n2p274
[13]
McPhail, G. (2021). The Search for Deep Learning: A Curriculum Coherence Model. Journal of Curriculum Studies, 53, 420-434.
https://doi.org/10.1080/00220272.2020.1748231
[14]
Mystakidis, S. (2021). Deep Meaningful Learning. Encyclopedia, 1, 988-997.
https://doi.org/10.3390/encyclopedia1030075
[15]
Ozdamli, F., & Asiksoy, G. (2016). Flipped Classroom Approach. World Journal on Educational Technology: Current Issues, 8, 98-105. https://doi.org/10.18844/wjet.v8i2.640
[16]
Qi, F., Chang, Y., Ramesh, K., & Hemalatha, P. (2021). Online and Offline Teaching Connection System of College Ideological and Political Education Based on Deep Learning. Progress in Artificial Intelligence, 1-12. https://doi.org/10.1007/s13748-021-00268-w
[17]
Silalahi, D. E., Herman, H., Sihombing, P. S. R., Damanik, A. S., & Purba, L. (2022b). An Analysis of Students’ Achievement in Reading Comprehension through Higher Order Thinking Skills (HOTS). Al-Ishlah: Jurnal Pendidikan, 14, 1853-1868.
https://doi.org/10.35445/alishlah.v14i2.1249
[18]
Silalahi, S. A., Zainal, A., & Sagala, G. H. (2022a). The Importance of Deep Learning on Constructivism Approach. In 2nd International Conference of Strategic Issues on Economics, Business and, Education (ICoSIEBE 2021) (pp. 243-246). Atlantis Press.
https://doi.org/10.2991/aebmr.k.220104.036
[19]
Sugden, N., Brunton, R., MacDonald, J., Yeo, M., & Hicks, B. (2021). Evaluating Student Engagement and Deep Learning in Interactive Online Psychology Learning Activities. Australasian Journal of Educational Technology, 37, 45-65.
https://doi.org/10.14742/ajet.6632
[20]
Suhendro, S., Sugandi, D., & Ruhimat, M. (2021). Analysis on Factors Influencing Geography Teachers’ Ability in Constructing High-Order Thinking Skills (HOTS) Assessment Instrument. Geosfera Indonesia, 6, 205-221.
https://doi.org/10.19184/geosi.v6i2.21428
[21]
Syahrawati, E. Y., Susantini, E., & Indana, S. (2022). Profile of Blended Learning Implementation in Learning Activities. IJORER: International Journal of Recent Educational Research, 3, 45-60. https://doi.org/10.46245/ijorer.v3i1.183
[22]
Tatli, C., & Simsek, N. (2022). Deep (Meaningful) Learning Perception Scale: Validity and Reliability. Journal of STEM Teacher Institutes, 2, 33-41.