Building a ranking system for lecturers based on student evaluations in teaching a specific course: a case study at a university in Vietnam

Автор: Duc Trung Do., Dudi B., Van Duc D., Hoai Son N., Mittelman A.

Журнал: International Journal of Cognitive Research in Science, Engineering and Education @ijcrsee

Рубрика: Original research

Статья в выпуске: 2 т.12, 2024 года.

Бесплатный доступ

In the current landscape of higher education, the quality of teaching plays a crucial role in supporting the comprehensive development of students. To ensure the effectiveness of the learning process, evaluating lecturers based on student opinions is an essential means of providing feedback and optimizing the learning experience. This paper focuses on constructing a lecturer ranking system, particularly in the context of a specific course through the evaluation process from students. Four different methods were employed to assess lecturers, including the PSI method, SRP method, RAM method, and PIV method. The evaluation results using these four methods were compared with each other and also with the traditional evaluation approach currently utilized in the educational institution. The achieved results demonstrate that the approach outlined in this paper is highly suitable for determining the rankings of lecturers when teaching individual courses.

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Lecturers ranking, mcdm, psi, srp, ram, piv

Короткий адрес: https://sciup.org/170206405

IDR: 170206405   |   DOI: 10.23947/2334-8496-2024-12-2-335-350

Список литературы Building a ranking system for lecturers based on student evaluations in teaching a specific course: a case study at a university in Vietnam

  • Akmaludin, A., Gernaria E., S., Rinawati, R., Arisawati, E., & Dewi, L., S. (2023). Decision Support for Selection of The Best Teachers Recommendations MCDM-AHP and ARAS Collaborative Methods. Sinkron: Jurnal dan Penelitian Teknik Informatika, 8(4), 2036-2048. https://doi.org/10.33395/sinkron.v8i4.12354
  • Arifin, N., & Saputro, P. H. (2022). Selection Index (PSI) Method in Developing a Student Scholarship Decision Support System. International Journal of Computer and Information System, 3(1), 12-16
  • Ayyildiz, E., Murat, M., Imamoglu, G., & Kose, Y. (2023). A novel hybrid MCDM approach to evaluate universities based on student perspective. Scientometrics, 128, 55-86. https://doi.org/10.1007/s11192-022-04534-z
  • Bafail, O., A., Abdulaal, R., M., S., & Kabli, M., R. (2022). AHP-RAPS Approach for Evaluating the Productivity of Engineering Departments at a Public University. Systems, 10(107). https://doi.org/10.3390/systems10040107
  • Do, D. T. (2024). Assessing the Impact of Criterion Weights on the Ranking of the Top Ten Universities in Vietnam. Engineering, Technology& Applied ScienceResearch, 14(4), 14899-14903. https://doi.org/10.48084/etasr.7607
  • Do, D., T., Tran, V., D., Duong, V., D., & Nguyen, N., T. (2023). Investigation of the appropriate data normalization method for combination with Preference Selection Index method in MCDM. Operational Research in Engineering Sciences: Theory and Applications, 6(1), 44-64. https://oresta.org/menu-script/index.php/oresta/article/view/329
  • Dragisa, S., Darjan, K., & Gabrijela, P. (2021). Ranking alternatives using PIPRECIA method: A case of hotels' website evaluation. Journal of Process Management and New Technologies, 9(3-4), 62-68. https://doi.org/10.5937/joupro-man2103062S
  • Dua, T. V. (2024). PSI-SAW and PSI-MARCOS Hybrid MCDM Methods. Engineering, Technology & Applied Science Research, 14(4), 15963-15968. https://doi.org/10.48084/etasr.7992
  • Dua, T. V., Duc, D. V., Bao, N. C., & Trung, D. D. (2024). Integration of objective weighting methods for criteria and MCDM methods: application in material selection. EUREKA: Physics and Engineering, 2, 131-148. https://doi.org/10.21303/2461-4262.2024.003171
  • Ecer, F., & Pamucar, D. (2022). A novel LOPCOW-DOBI multi-criteria sustainability performance assessment methodology: An application in developing country banking sector. Omega, 112, Art. No. 102690. https://doi.org/10.1016/j.ome-ga.2022.102690
  • Ekinci, Y., Orbay, B.Z., & Karadayi, M. A. (2022). An MCDM-based game-theoretic approach for strategy selection in higher education. Socio-EconomicPlanning Sciences, 81, 101186. https://doi.org/10.1016/j.seps.2021.101186
  • Ghorui, N., Ghosh, A., Mondal, S. P., Kumari, S., Jana, S., & Das, A. (2021). Evaluation Of Performancefor School Teacher Recruitment Using MCDM Techniques With Interval Data. Multicultural Education, 7(5), 380-395. https://doi.org/10.5281/ zenodo.4837226
  • Girvan, C. Conneely, C., & Tangney, B. (2016). Extending experiential learning in teacher professional development. Teaching and TeacherEducation, 58, 129-139. https://doi.org/10.1016Zj.tate.2016.04.009
  • Ha, L., D. (2023). Selection of Suitable Data Normalization Method to Combine With the CRADIS Method for Making Multi-Criteria Decision. Applied Engineering Letters, 8(1), 24-35. https://doi.org/10.18485/aeletters.2023.8.1.4
  • Hoang, X., T. (2023). Multi-objective optimization of turning process by FUCA method. Strojnicky casopls - Journal of Mechanical Engineering, 73(1), 55-66. https://doi.org/10.2478/scjme-2023-0005
  • Kalyan, M., & Pramanik. S. (2019). Multi-criteria Group Decision Making Approach for Teacher Recruitment in Higher Education under Simplified Neutrosophic Environment. Neutrosophlc Sets and Systems, 6, 28-34.
  • Komasi, H., Nemati, A., Hashemkhani Zolfani, S., Williams, N. L., & Bazrafshan, R. (2024). Investigating the effects of CO-VID-19 on tourism in the G7 countries. Technological and Economic Development of Economy, 30(4), 1064-1086. https://doi.org/10.3846/tede.2024.20821
  • Le, H. A., Hoang, X. T., Trieu, Q. H., Pham, D. L., & Le, X. H. (2022). Determining the Best Dressing Parameters for External Cylindrical Grinding Using MABAC Method. Appliedscicences, 12(16), 8287. https://doi.org/10.3390/app12168287
  • Malik, D. A. A., Yusof, Y., & Khalif, K. M. N. K. (2021). A view of MCDM application in education. Journal of Physics: Conference Series, 1988, 012063. https://doi.org/10.1088/1742-6596/1988/1/012063
  • Maniya, K., & Bhatt, M.G. (2010). A selection of material using a novel type decisionmaking method: Preference selection index method. Materials&Design, 31(4), 1785-1789. https://doi.org/10.1016/j.matdes.2009.11.020
  • Mian, S. H., Nasr, E. A., Moiduddin, K., Saleh, M., Abidi, M. H., & Alkhalefah, H. (2024). Assessment of consolidative multi-criteria decision making (C-MCDM) algorithms for optimal mapping of polymer materials in additive manufacturing: A case study of orthotic application. Heliyon, 10, Art. No. e30867. https://doi.org/10.1016peliyon.2024.e30867
  • Monalisa, R., & Kusnawi, K. (2017). Decision support system of model teacher selection using PROMETHEE method. International Conference on Innovative and Creative Information Technology (ICITech). https://doi.org/10.1109/INNOC-IT.2017.8319147
  • Mufazzal, S., & Muzakkir, S., (2018). A New Multi-Criterion Decision Making (MCDM) Method Based on Proximity Indexed Value for Minimizing Rank Reversals. Computers & Industrial Engineering, 119, 427-438. https://doi.org/10.1016/j. cie.2018.03.045
  • Munna, A. S., & Kalam, M. A. (2021). Teaching and learning process to enhance teaching effectiveness: a literature review. InternationalJournalofHumanitiesandlnnovation (IJHI), 4(1), 1-4. https://doi.org/10.33750/ijhi.v4i1.102
  • Nguyen, H. S., Hieu, T. T., Thang, N. M., Tan, H. N., Can, N. T., Thao, P. T., & Bao, N. C. (2024). Selection of Crankshaft Manufacturing Material by the PIV Method. Engineering, Technology & Applied Science Research, 14(4), 14848-14853. https://doi.org/10.48084/etasr.7514
  • Oliver, R. M., & Reschly, D. J. (2007). Effective Classroom Management: Teacher Preparation and Professional Development, National Comprehensive Center for Teacher Quality, Washington, USA.
  • Sirigiri, P., Hota, H.,S., & Sharma, L., K. (2015). Students Performance Evaluation using MCDM Methods through Customized Software. InternationalJournalofComputer Applications, 130(15), 11-14. https://doi.org/10.5120/ijca2015907171
  • Sotoudeh-Anvari, A. (2023). Root Assessment Method (RAM): A novel multi-criteria decision making method and its applications in sustainability challenges. Journal of Cleaner Production, 423, Art. No. 138695. https://doi.org/10.1016/j. jclepro.2023.138695
  • Thinh, H. X., & Mai, N. T. (2023). Comparison of two methods in multi-criteria decision-making: application in transmission rod material selection. EUREKA: Physics andEngineering, 6, 59-68. https://doi.org/10.21303/2461-4262.2023.003046
  • Thinh, H., X. & Dua, T. V. (2024). Optimal Surface Grinding Regression Model Determination with the SRP Method. Engineering, Technology & Applied ScienceResearch, 14(3), 14713-14718. https://doi.org/10.48084/etasr.7573
  • Toan, P., N., Dang, T., T., & Hong, L., T., T. (2021). E-Learning Platform Assessment and Selection Using Two-Stage Multi-Criteria Decision-Making Approach with Grey Theory: A Case Study in Vietnam. Mathematics, 9(23), Art.No. 3136. https://doi.org/10.3390/math9233136
  • Trung, D. D., & Tung, N. N. (2022). Applying COCOSO, MABAC, MAIRCA, EAMR, TOPSIS and weight determination methods for multi-criteria decision making in hole turning process. Strojnicky casopis - Journal of Mechanical Engineering, 72(2), 15-40. https://doi.org/10.2478/scjme-2022-0014
  • Trung, D. D., Dudic, B., Duc, D. V., Son, N. H. &Asonja, A. (2024). Comparison of MCDM methods effectiveness in the selection of plastic injection molding machines. Teknomekanik, 7(1), 1-19. https://doi.org/10.24036/teknomekanik.v7i1.29272
  • Trung, D. D., Dudic, B., Dung, H. T., & Truong, N. X. (2024). Innovation in financial health assessment: Applying MCDM techniques to banks in VIETNAM. ECONOMICS - Innovative and Economics Research Journal, 12(2). https://doi. org/10.2478/eoik-2024-0011
  • Trung, D. D., Duc, D. V., Bao, N. C., & Thuy, D. T. T. (2024). Using the root assessment method to choose the optimal solution for mushroom cultivation. Yugoslav Journal ofOperations Research. https://doi.org/10.2298/YJOR240115007T
  • Trung, D. D., Dudic, B., Nguyen, N. T., &Asonja, A. (2024). Data Normalization for RootAssessment Methodology. International Journal oflndustrial Engineering and Management, 15(2), 156-168. https://doi.org/10.24867/IJIEM-2024-2-354
  • Trung, D., D. (2021). A combination method for multi-criteria decision making problem in turning. Manufacturingreview, 8, Art. No. 26. https://doi.org/10.1051/mfreview/2021024
  • Trung, D., D. (2021). Application of TOPSIS and PIV methods for multi-criteria decision making in hard turning process. Journal of Machine Engineering, 21(4), 57-71. https://doi.org/10.36897/jme/142599
  • Trung, D., D. (2022). Expanding Data Normalization Method to CODAS Method for Multi-Criteria Decision Making. Applied Engineering Letters, 7(2), 54-66, https://doi.org/10.18485/aeletters.2022.7.2.2
  • Trung, D.D, & Thinh, H.X. (2021). A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study. Advances in Production Engineering & Management, 16(4), 443-456, https:// doi.org/10.14743/apem2021.4.412
  • Truong, N. X., Asonja, A., & Trung, D. D. Enhancing Handheld Polishing Machine Selection: An Integrated Approach of MACROS Methods and Weight Determination Techniques. Applied Engineering Letters, 8(3), 2023: 131-138. https://doi. org/10.18485/aeletters.2023.8.3.5
  • Uluta§, A., Popovic, G., Radanov, P., Stanujkic, D., & Karabasevic, D. (2021). A new hybrid fuzzy PSI-PIPRECIA-COCOSO MCDM based approach to solving the transportation company selection problem. Technological and Economic Devel-opmentofEconomy, 27(5), 1227-1249. https://doi.org/10.3846/tede.2021.15058
  • Ventista, O. M., & Brown, C. (2023). Teachers' professional learning and its impact on students' learning outcomes: Findings from a systematic review. Social Sciences & Humanities Open, 8(1), 100565. https://doi.org/10.1016/j.ssaho.2023.100565
  • Zakeri, S., Chatterjee, P., Konstantas, D., & Ecer, F. (2023). A decision analysis model for material selection using simple ranking process. ScientifcReports, 13, Art. No. 8631. https://doi.org/10.1038/s41598-023-35405-z
  • Zakeri, S., Chatterjee, P., Konstantas, D., & Ecer, F. (2024). A comparative analysis of simple ranking process and faire un Choix Adéquat method. Decision AnalyticsJournal, 10, Art. No. 100380. https://doi.org/10.1016Zj.dajour.2023.100380
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