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Evaluation of flipped classroom teaching quality for civil engineering courses

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Języki publikacji
EN
Abstrakty
EN
The impact of civil engineering course education on civil engineers is profound and crucial. Due to the hierarchical and ambiguous nature of quality assessment for flipped classroom teaching, there is an urgent demand for a rational and effective approach to conduct such assessments. This would enable the targeted formulation of instructional improvement methods based on assessment outcomes, ultimately elevating the quality of pedagogy. This study combines the analytic hierarchy process and fuzzy evaluation method. The fuzzy evaluation method is utilized to identify four primary evaluation factor sets, fourteen secondary judgment factor sets, and five evaluation outcome sets, with subsequent quantification of the assessment results. The analytic hierarchy process is employed to ascertain the weight coefficients of the evaluation factors. The comprehensive assessment model for flipped classroom teaching quality is established. The assessment results indicate that the overall quality of flipped classroom teaching in the civil engineering major at Anhui University of Science and Technology, conducted through the platform of Superstar Learning Hub, falls within the ‘Good’ category. The fuzzy comprehensive evaluation score for extracurricular learning quality is the lowest, and the weight proportion attributed to flipped classroom infrastructure is the highest. Consequently, several targeted improvement measures are proposed to enhance the quality of flipped classroom teaching.
Rocznik
Strony
579--595
Opis fizyczny
Bibliogr. 20 poz., il., tab.
Twórcy
autor
  • Anhui University of Science and Technology, School of Civil Engineering and Architecture, Huainan, China
autor
  • Anhui University of Science and Technology, School of Civil Engineering and Architecture, Huainan, China
Bibliografia
  • [1] K. Gavin, “Case study of a project-based learning course in civil engineering design”, European Journal of Engineering Education, vol. 36, no. 6, pp. 547-558, 2011, doi: 10.1080/03043797.2011.624173.
  • [2] H. Zobel, A. Pawlak, M. Pawlik, P. Żółtowski, R. Czubacki, and T. Al-Khafaji, “Hyperloop-Civil engineering point of view according to Polish experience”, Archives of Civil Engineering, vol. 68, no. 1, pp. 5-26, 2022, doi: 10.24425/ace.2022.140153.
  • [3] J. Szelka, “Information and decision modelling in civil engineering”, Archives of Civil Engineering, vol. 68, no. 4, pp. 97-110, 2022, doi: 10.24425/ace.2022.143028.
  • [4] Y. Doğan, V. Batdı, and M.D. Yaşar, “Effectiveness of flipped classroom practices in teaching of science: a mixed research synthesis”, Research in Science & Technological Education, vol. 41, no. 1, pp. 393-421, 2023, doi: 10.1080/02635143.2021.1909553.
  • [5] K. Missildine, R. Fountain, L. Summers, and K. Gosselin, “Flipping the classroom to improve student performance and satisfaction”, Journal of Nursing Education, vol. 52, no. 10, pp. 597-599, 2013, doi: 10.3928/01484834-20130919-03.
  • [6] J. O’Flaherty and C. Phillips, “The use of flipped classrooms in higher education: A scoping review”, The Internet and Higher Education, vol. 25, pp. 85-95, 2015, doi: 10.1016/j.iheduc.2015.02.002.
  • [7] M.C. Schlairet, R. Green, and M.J. Benton, “The flipped classroom: strategies for an undergraduate nursing course”, Nurse Educator, vol. 39, no. 6, pp. 321-325, 2014, doi: 10.1097/NNE.0000000000000096.
  • [8] H.M. Bingen, S.A. Steindal, R. Krumsvik, and B. Tveit, “Nursing students studying physiology within a flipped classroom, self-regulation and off-campus activities”, Nurse Education in Practice, vol. 35, pp. 55-62, 2019, doi: 10.1016/j.nepr.2019.01.004.
  • [9] S. Bhat, R. Raju, S. Bhat, and R. D’Souza, “Redefining quality in engineering education through the flipped classroom model”, Procedia Computer Science, vol. 172, pp. 906-914, 2020, doi: 10.1016/j.procs.2020.05.131.
  • [10] W.P. Xue, Z.S. Yao, and X.J. Wang, “Teaching exploration of civil engineering testing technology course in the context of new engineering”, Journal of Changchun Normal University, vol. 40, no. 6, pp. 148-150, 2021.
  • [11] R.W. Saaty, “The analytic hierarchy process-what it is and how it is used”, Mathematical Modelling, vol. 9, no. 3-5, pp. 161-176, 1987, doi: 10.1016/0270-0255(87)90473-8.
  • [12] W.Q. Shao, “Evaluation of international port city based on fuzzy comprehensive evaluation”, Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7027-7032, 2020, doi: 10.3233/JIFS-179780.
  • [13] A.F. Shapiro and M.C. Koissi, “Fuzzy logic modifications of the analytic hierarchy process”, Insurance: Mathematics and Economics, vol. 75, pp. 189-202, 2017, doi: 10.1016/j.insmatheco.2017.05.003.
  • [14] S. Sipahi and M. Timor, “The analytic hierarchy process and analytic network process: an overview of applications”, Management Decision, vol. 48, no. 5, pp. 775-808, 2010, doi: 10.1108/00251741011043920.
  • [15] A. Özdağoğlu and G. Özdağoğlu, “Comparison of AHP and fuzzy AHP for the multi-criteria decision making processes with linguistic evaluations”, İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, vol. 6, no. 11, pp. 65-85, 2007.
  • [16] D. Tadic, A. T. Gumus, S. Arsovski, A. Aleksic, and M. Stefanovic, “An evaluation of quality goals by using fuzzy AHP and fuzzy TOPSIS methodology”, Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 547-556, 2013, doi: 10.3233/IFS-120659.
  • [17] C. Wang, R.P. Agarwal, and D. O’Regan, “Calculus of fuzzy vector-valued functions and almost periodic fuzzy vector-valued functions on time scales”, Fuzzy Sets and Systems, vol. 375, pp. 1-52, 2019, doi: 10.1016/j.fss.2018.12.008.
  • [18] A.T. Jebb, V. Ng, and L. Tay, “A review of key Likert scale development advances: 1995-2019”, Frontiers in Psychology, vol. 12, art. no. 637547, 2021, doi: 10.3389/fpsyg.2021.637547.
  • [19] P. Sussner, “Lattice fuzzy transforms from the perspective of mathematical morphology”, Fuzzy Sets and Systems, vol. 288, pp. 115-128, 2016, doi: 10.1016/j.fss.2015.09.018.
  • [20] Y. Owusu-Agyeman, O. Larbi-Siaw, B. Brenya, and A. Anyidoho, “An embedded fuzzy analytic hierarchy process for evaluating lecturers’ conceptions of teaching and learning”, Studies in Educational Evaluation, vol. 55, pp. 46-57, 2017, doi: 10.1016/j.stueduc.2017.07.001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-14d0193a-51b6-4cdb-9f35-7921141a684e
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