Frontiers in Educational Research, 2025, 8(2); doi: 10.25236/FER.2025.080204.
Li Haikang, Xue Quanting, Zhang Zhihong, Ma Yan'e, Heng Ting, Wang Zhenjiang
School of Intelligent Engineering, Jinzhong College of Information, Jinzhong, China
A network meta-analysis method was used to systematically evaluate the impact of eight different teaching methods on the teaching effectiveness of mechanics courses. Randomized controlled trials evaluating the effectiveness of teaching methods on mechanics courses were searched from domestic databases such as CNKI, Wanfang Database, VIP Database, and international databases such as Web of Science and PubMed. The search was conducted up to January 2024. After literature exclusion, screening, and quality evaluation, 42 articles and 82 sets of randomized controlled trial data were included. The results showed that blended teaching method (MD=1.313, 95%CI=1.054-1.571), simulation teaching method (MD=1.510, 95%CI=0.637-2.382), problem-based learning (MD=1.989, 95%CI=1.004-2.974), diversified teaching method (MD=1.001, 95%CI=0.479-1.524), and flipped classroom (MD=1.142, 95%CI=0.694-1.590) were significantly superior to traditional teaching methods, with statistically significant differences (P<0.05). There was no statistically significant difference between discussion-based teaching method, asynchronous teaching method, and thinking cultivation method and traditional teaching methods (P>0.05). The results of SUCRA ranking based on the cumulative probability area showed that problem-based learning was the optimal teaching method for mechanics courses, with the best teaching effect and a SUCRA probability value of 91.5%. Simulation teaching method and blended teaching method ranked second in teaching effectiveness. This study can provide a reference for the selection of teaching methods and the integration strategies of multiple teaching methods for mechanics courses.
Mechanics; Teaching Methods; Randomized Control; Network Meta-analysis
Li Haikang, Xue Quanting, Zhang Zhihong, Ma Yan'e, Heng Ting, Wang Zhenjiang. Effects of Different Teaching Methods on the Teaching Effectiveness of Mechanics Courses: A Network Meta-analysis. Frontiers in Educational Research (2025) Vol. 8, Issue 2: 21-27. https://doi.org/10.25236/FER.2025.080204.
[1] GU Jianping, FANG Jianshi, ZHAO Shenlin, et al. Teaching Reform of Basic Mechanics Courses in Applied Undergraduate Colleges under the Background of New Engineering Construction[J]. Western Quality Education, 2023, 9(23): 162-165.
[2] LIU Xiaoyu, YANG Jinwei, ZHAO Xiaozheng, et al. Reform Practice and Exploration on Experimental Teaching Mode of Basic Mechanics for New Engineering Courses[J]. Mechanics and Practice, 2022, 44(3): 693-699.
[3] HU Bo, FENG Hui, HAN Weili, et al. Accelerating the Establishment of New Engineering and Technical Disciplines and Promoting the Innovation in Engineering Education: A Review of the Symposium on the Strategy of Developing Higher Engineering Education[J], Fudan Education Forum, 2017, 15(2): 20-28.
[4] Wang Jian. Reform and Systematic Construction of Classroom Teaching Method of Basic Education in China[J]. Curriculum – Materials - Teaching Methods, 2023, 43(3): 47-55.
[5] Yang Cheng, Long Beichuan, Li Yu, et al. Ideological and Political Teaching Methods of Theoretical Mechanics Courses in BOPPPS Mode and Online-Offline Teaching[J]. Time Motors, 2024, 2: 41-43.
[6] Kan Xianwen, Zhu Yinggui, Wang Cong, et al. Exploration on Effective Fusion of Multimedia Teaching Means and Traditional Teaching Method in Analytical Chemistry Teaching[J]. Journal of Anhui Normal University (Natural Science), 2012, 35(6): 558-561.
[7] CHEN Boming, JIANG Jiqing. A Comparative Study of the Teaching Effect between Problem-Based Learning Method and Lecture-Based Learning Method-Take the Teaching of Civil Engineering Materials as an Example[J]. Science Education Guide, 2023, 2: 114-117.
[8] Ma Bin, Zhang Yong, Yang Jing. Teaching Reform and Exploration of Student-Centered "Structural Mechanics" Course[J]. Popular Science and Technology, 2023, 25(10): 128-131.
[9] Lu Kunlin, Qian Deling, Yang Yang. An Attempt to Diversify the Teaching Model in the Course of Geotechnical Engineering[J]. Journal of Hefei University of Technology (Social Science Edition). 2009, 23(5): 23-26.
[10] LI Feng, LU Xinxiao, ZHU Hongqing, et al. Project-Based Teaching Mode and Higher-order Thinking Skills Development in Fluid Mechanics Laboratory Course[J]. Research and Exploration in Laboratory, 2023, 42(5): 204-211.
[11] TAN Zhouling, LIU Dehua, CHENG Guangjun. The application of flipped classroom mode in the teaching of theoretical mechanics[J]. Journal of Architectural Education in Institutions of Higher Learning, 2018, 27(3): 47-50.
[12] CUI Yan, ZHANG Qing, LUO Baojing, et al. Application and Exploration of the Problem-Based Learning Teaching Method in the Course of Materials Thermodynamics in the Context of New Engineering Education[J]. Industrial Technology & Vocational Education, 2023, 21(3): 55-58.
[13] Meng Qingcheng, Qi Xin, Li Cuijuan, et al. Application and Exploration of Rain Classroom- Based Blended Learning in Structural Mechanics[J]. University Education, 2020, 11: 67-71
[14] LI Yiran, WANG Xiuxin, LIANG Yaowen, et al. Response of farmland soil aggregate-associated organic carbon to straw return: a meta-analysis[J]. Chinese Journal of Eco-Agriculture, Jan, 2024, 32(1): 41-52.
[15] JING Fangyuan, LI Yingjun, DING Ye, et al. The Influence of Four Different Teaching Methods in Medical Statistics: a Network Meta- Analysis[J]. Zhejiang Medical Education, 2018, 17(5): 4-7/29
[16] LI Lingling, HUANG Hailiang, YU Ying, et al. Effect of Non-invasive Brain Stimulation on Autism Spectrum Disorder: a Systematic Review and Network Meta-analysis[J]. Chinese General Practice, 2023, 26(11): 1389-1397.
[17] ZHUO Jun, LING Juan, JIANG Yan, et al. Network meta-analysis of SGLT-2 inhibitor-induced hypoglycemia risk in type 2 diabetes patients[J]. Chinese Pharmacy, 2023, 34(12): 1509-1514.
[18] ZHENG Zihui, PAN Huijie, ZHAO Zinan. Network meta-analysis of the effectiveness and safety of 3 kinds of snake venom hemocoagulase drugs for hemostasis in abdominal surgery[J]. Chinese Pharmacy, 2023, 34(21): 2631-2637.
[19] YIN Yu, WU Jinji, LI Mingjin. Network Meta-analysis on effects of 5 different teaching methods on the self-directed learning ability of nursing students[J]. Yanbian University College of Nursing, 2020, 43(3): 187-191.
[20] WANG Chaoya, WANG Zhihao, ZHANG Chanjuan. The effects of seven teaching methods on physiology teaching: a network meta-analysis[J]. Journal of Henan University Medical Science, 2022, 41(5): 384-390.
[21] Ivana P, Mia T, Ivana V, et al. In Cochrane reviews, risk of bias assessments for allocation concealment were frequently not in line with Cochrane's Handbook guidance[J]. Journal of Clinical Epidemiology, 2019, 106: 10-17.
[22] White I R, Barrett J K, Jacksona D, et al. Consistency and inconsistency in network Meta-analysis: model estimation using multivariate Meta-regression[J]. Research Synthesis Methods, 2012, 3(2): 111-125.
[23] Salanti G, Ades A E, Ioannidis J P A, et al. Graphical methods and numerical summaries for presenting results from multiple-treatment Meta-analysis: an overview and tutorial[J]. Journal of Clinical Epidemiology, 2011, 64(2): 163-171.
[24] SONG Qiuyue, LI Fang, CHEN Jia, et al. Comparative Study on the Effect and Satisfaction of Different Teaching Methods of Medical Statistical: a Bayesian Network Meta-analysis[J]. China Health Statistics, 2022, 39(3): 370-375/380.