In order to better improve the physical health status of Chinese college students, enrich the knowledge content of university physical education courses, enhance their physical exercise ability, cultivate lifelong physical education awareness and conscious exercise habits, and promote the healthy development of quality education in China, combined with the current reality of university physical education teaching, a quality assurance system for university physical education teaching in China is constructed to promote the continuous improvement of the quality of university physical education teaching. The guarantee system for college physical education teaching consists of three subsystems: the design and quality management system for college physical education teaching objectives, the evaluation system for college physical education teaching quality, and the feedback system for college physical education teaching quality information. The quality evaluation of college physical education classroom teaching is a multiple attribute group decision making (MAGDM) issue. In this paper, depending on the CoCoSo (Combined Compromise Solution) method and picture 2-tuple linguistic sets (P2TLSs), a novel MAGDM issue based on the picture 2-tuple linguistic CoCoSo (P2TL-CoCoSo) method is designed to tackle it. In addition, the weights of criteria are decided objectively by utilizing entropy method. Eventually, a related application for quality evaluation of college physical education classroom teaching and comparative analysis is given to demonstrate the superiority of the designed method. The results illustrate that the designed method is useful for quality evaluation of college physical education classroom teaching.
AtanassovKT. Intuitionistic fuzzy sets. Fuzzy Sets and Systems.1986; 20(1): 87-96.
2.
SzmidtEKacprzykJ. A new concept of a similarity measure for intuitionistic fuzzy sets and its use in group decision making. In: Torra V, Narukawa Y, Miyamoto S, editors. Modeling Decisions for Artificial Intelligence, Proceedings. Lecture Notes in Artificial Intelligence. 35582005. pp. 272-82.
3.
SzmidtEKacprzykJ. An application of intuitionistic fuzzy set similarity measures to a multi-criteria decision making problem. In: Rutkowski L, Tadeusiewicz R, Zadeh LA, Zurada J, editors. Artificial Intelligence and Soft Computing – Icaisc 2006, Proceedings. Lecture Notes in Computer Science. 40292006. pp. 314-23.
4.
CuongBC. Picture fuzzy sets. Journal of Computer Science and Cybernetics.2014; 30(4): 409-20.
Chao TianJ-jPZhangSZhangW-yWangJ-q. Weighted picture fuzzy aggregation operators and their applications to multi-criteria decision-making problems. Computers & Industrial Engineering.2019; 137(106037).
7.
Le WangX-kWPengJ-jWangJ-q. The differences in hotel selection among various types of travellers: A comparative analysis with a useful bounded rationality behavioural decision support model. Tourism Management. 2020; 76.
WeiGW. Picture fuzzy cross-entropy for multiple attribute decision making problems. Journal of Business Economics and Management.2016; 17(4): 491-502.
10.
WeiGW. Some cosine similarity measures for picture fuzzy sets and their applications to strategic decision making. Informatica.2017; 28(3): 547-64.
11.
WeiGWLuM. Pythagorean fuzzy power aggregation operators in multiple attribute decision making. International Journal of Intelligent Systems.2018; 33(1): 169-86.
12.
WangLPengJJWangJQ. A multi-criteria decision-making framework for risk ranking of energy performance contracting project under picture fuzzy environment. Journal of Cleaner Production.2018; 191: 105-18.
AshrafSMahmoodTAbdullahSKhanQ. Different approaches to multi-criteria group decision making problems for picture fuzzy environment. Bulletin of the Brazilian Mathematical Society New.2018; (2): 1-25.
15.
WeiGWZhangSQLuJPWuJWeiC. An extended bidirectional projection method for picture fuzzy MAGDM and its application to safety assessment of construction project. Ieee Access.2019; 7: 166138-47.
16.
DingXFZhangLLiuHC. Emergency decision making with extended axiomatic design approach under picture fuzzy environment. Expert Systems.
17.
JoshiR. A new picture fuzzy information measure based on Tsallis-Havrda-Charvat concept with applications in presaging poll outcome. Computational & Applied Mathematics.2020; 39(2).
18.
LuoSZXingLN. Picture fuzzy interaction partitioned heronian aggregation operators for hotel selection. Mathematics.2020; 8(1).
19.
LinMWHuangCXuZS. MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment. Sustainable Cities and Society.2020; 53: 101873.
20.
WeiGWZhangSQLuJPWuJWeiC. An extended bidirectional projection method for picture fuzzy MAGDM and its application to safety assessment of construction project. IEEE Access.2019; 7(1): 166138-47.
21.
WeiGW. Picture 2-tuple linguistic bonferroni mean operators and their application to multiple attribute decision making. International Journal of Fuzzy Systems.2017; 19(4): 997-1010.
22.
ZhangXYWangJQHuJH. On novel operational laws and aggregation operators of picture 2-tuple linguistic information for MCDM problems. International Journal of Fuzzy Systems.2018; 20(3): 958-69.
23.
ZhangSGaoHWeiGWeiYWeiC. Evaluation based on distance from average solution method for multiple criteria group decision making under picture 2-tuple linguistic environment. Mathematics.7(3).
24.
FengMGengYS. Some novel picture 2-tuple linguistic maclaurin symmetric mean operators and their application to multiple attribute decision making. Symmetry-Basel.2019; 11(7).
25.
JuYBJuDWWangAH. A note on “Picture 2-tuple linguistic aggregation operators in multiple attribute decision making”. Soft Computing.2020; 24(6): 3937-41.
26.
HarveySBryanRWegisHMVan der MarsH. RC grant findings: Effects of teaching games for understanding on game performance in middle school physical education. Res Q Exerc Sport.2007; 78(1): A119-A.
27.
HouXYDongKM. Cultivation of subconsciousness and its training effect in physical education teaching and training. Wirel Commun Mob Comput.2022; 2022: 12.
28.
IlmawatiHSuhermanAFriskawatiGF, Sriningsih, editors. The Effect of Physical Education Teaching Materials towards Situational Interest. 1st Annual Applied Science and Engineering Conference (AASEC); 2016 Nov 16–18; Univ Pendidikan Indonesia Publicat Ctr, Bandung, INDONESIA. BRISTOL: Iop Publishing Ltd; 2017.
29.
InvernizziPLCrottiMBosioACavaggioniLAlbertiGScuratiR. Multi-teaching styles approach and active reflection: Effectiveness in improving fitness level, motor competence, enjoyment, amount of physical activity, and effects on the perception of physical education lessons in primary school children. Sustainability.2019; 11(2): 20.
30.
InvernizziPLRigonMSignoriniGColellaDTrecrociAFormentiD, et al. Effects of varied practice approach in physical education teaching on inhibitory control and reaction time in preadolescents. Sustainability.2022; 14(11): 17.
31.
JungHChoiE. The importance of indirect teaching behaviour and its educational effects in physical education. Phys Educ Sport Pedag.2016; 21(2): 121-36.
32.
KolovelonisAGoudasMSamaraE. The effects of a self-regulated learning teaching unit on students’ performance calibration, goal attainment, and attributions in physical education. J Exp Educ.2022; 90(1): 112-29.
33.
LiJPWangL. Study on the evaluation of exercise effect in physical education teaching under the application of random forest model. Mob Inf Syst.2022; 2022: 9.
34.
LinMHShihKTChouCCWangCGWangCTWangYH, et al. The effects of ARCS teaching model on physical fitness levels and fitness knowledge of third- and fourth-grade students in elementary physical education. Res Q Exerc Sport.2004; 75(1): A92-A.
35.
Lopez-GarciaGDGranero-GallegosACarrasco-PoyatosMBurguenoR. Detrimental effects of disempowering climates on teaching intention in (physical education) initial teacher education. Int J Environ Res Public Health.2023; 20(1): 14.
36.
MiragemAAde AlmeidaL. Physical education’s potentials and limitations in remote teaching: The pandemic effect on pe as a curricular component. Movimento.2021; 27: 16.
37.
Moreno-MurciaJAHernandezEHRuizL. Perceptions of controlling teaching behaviors and the effects on the motivation and behavior of high school physical education students. Int J Environ Res Public Health.2018; 15(10): 10.
38.
PanYHHuangCHLeeISHsuWT. Comparison of learning effects of merging TPSR respectively with sport education and traditional teaching model in high school physical education classes. Sustainability.2019; 11(7): 15.
39.
PapaioannouAMilosisDGotzaridisC. Interdisciplinary teaching of physics in physical education: Effects on students’ autonomous motivation and satisfaction. J Teach Phys Educ.2020; 39(2): 156-64.
40.
PengLJ, editor. Research on the Effect of Basic PE Course on the Entire Teaching Effect of Physical Education. 7th International Conference on Education, Management, Information and Computer Science (ICEMC); 2017 Jun 16–18; Shenyang, PEOPLES R CHINA. PARIS: Atlantis Press; 2017.
41.
ReinaRIniguez-SantiagoMCFerriz-MorellRMartinez-GalindoCCebrian-SanchezMRoldanA. The effects of modifying contact, duration, and teaching strategies in awareness interventions on attitudes towards inclusion in physical education. Eur J Spec Needs Educ.2022; 37(1): 57-73.
42.
ShuXYWangQTangHGeYF. Evaluation of physical education teaching effect based on big data. Math Probl Eng.2022; 2022: 9.
43.
SoHChungWYKimHYSeoungJK. Effects of self-modeling on teaching competency in Korean physical education teacher education programs. Res Q Exerc Sport.2004; 75(1): A81-A.
44.
WangCZZhouP. The effects of the variation trend of students’ physical fitness on physical education teaching reform and reform ideas analysis. Agro Food Ind Hi-Tech.2017; 28(3): 1428-31.
45.
WangPP. Construction and effect analysis of college students’ physical education teaching mode based on data mining algorithm. J Sens.2022; 2022: 10.
46.
WangYHTungSKChouCCHuangMYTsaiKC. The effects of different tennis teaching models on perceptions of learning environment and learning outcomes of tennis in college physical education. Res Q Exerc Sport.2005; 76(1): A92-A3.
47.
WardPKimIKoBLiWD. Effects of improving teachers’ content knowledge on teaching and student learning in physical education. Res Q Exerc Sport.2015; 86(2): 130-9.
48.
WenJ, editor. Research on Effect Evaluation of Physical Education Teaching Based on Artificial Intelligence Expert Decision Making System. 1st Beijing International Conference on Real-Time Intelligent Systems (RTIS); 2016 Sep 01–03; Beijing, PEOPLES R CHINA. CHAM: Springer International Publishing Ag; 2018.
49.
WhippPRJacksonBDimmockJASohJ. The effects of formalized and trained non-reciprocal peer teaching on psychosocial, behavioral, pedagogical, and motor learning outcomes in physical education. Front Psychol.2015; 6: 13.
50.
XuQXYinJS. Effects of knowledge hiding in dual teaching methods on students’ performance-evidence from physical education department students. Front Psychol.2022; 13: 14.
51.
ZhangYF. Analysis on the effect of the innovation and reform of physical education teaching mode in colleges and universities on students with communication and adaptation barriers. Psychiatr Danub.2022; 34: S176-S7.
52.
YazdaniMZaratePZavadskasEKTurskisZ. A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision.2018; 57(9): 2501-19.
Alptekin Ulutas CBKaAeT. Location selection for logistics center with fuzzy SWARA and cocoso methods. Journal of Intelligent & Fuzzy Systems 2020; 1-17.
55.
PengXDZhangXLuoZG. Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation. Artif Intell Rev.35.
56.
WenZLiaoHKazimieras ZavadskasEAl-BarakatiA. Selection third-party logistics service providers in supply chain finance by a hesitant fuzzy linguistic combined compromise solution method. Economic Research-Ekonomska Istraživanja.2019; 32(1): 4033-58.
57.
PengXHuangH. Fuzzy decision making method based on COCOSO with critic for financial risk evaluation. Technological and Economic Development of Economy. 2020; 1-30.
58.
WangCYZhouXQTuHNTaoSD. Some geometric aggregation operators based on picture fuzzy sets and their application in multiple attribute decision making. Italian Journal of Pure and Applied Mathematics.2017; (37): 477-92.
59.
WeiGWAlsaadiFEHayatTAlsaediA. Picture 2-tuple linguistic aggregation operators in multiple attribute decision making. Soft Computing.2018; 22(3): 989-1002.
60.
ShannonCE. A mathematical theory of communication. ACM SIGMOBILE Mobile Computing and Communications Review. 2001.
61.
AeltermanNVansteenkisteMVan den BergheLde MeyerJHaerensL. Fostering a need-supportive teaching style: Intervention effects on physical education teachers’ beliefs and teaching behaviors. J Sport Exerc Psychol.2014; 36(6): 595-609.
62.
Casado-RoblesCMayorga-VegaDGuijarro-RomeroSVicianaJ. Effect of a Sport Education-based teaching unit in Physical Education on high school students’ social networks and quantitative sociometry scores: A cluster randomized control trial. Rev Psicodidact.2022; 27(1): 66-75.
63.
ChangCMHsiehHHChouYHHuangHC. The relationship between physical education teachers’ perceptions of principals’ transformational leadership and creative teaching behavior at junior and senior high schools: A cross-level moderating effect on innovative school climates. Sustainability.2021; 13(15): 11.
64.
ChangCYHuangMYChouCCYehYTChenCHLinMH, et al. Effects of divergent teaching style on development of critical thinking skills of 6th grade students in physical education: An intervention of initiative game activities. J Sport Exerc Psychol.2003; 25: S38-S.
65.
ChenP. Influence of special teaching mode on effect of physical education in colleges and universities. Basic Clin Pharmacol Toxicol.2020; 126: 354.
66.
DingXPengWYiXL. Evaluation of physical education teaching effect based on action skill recognition. Comput Intell Neurosci.2022; 2022: 11.
67.
DinhVAFrederickJBartosRShankelTMWernerL. Effects of ultrasound implementation on physical examination learning and teaching during the first year of medical education. J Ultrasound Med.2015; 34(1): 43-50.
68.
ErogluCUnluH. Self-efficacy: Its effects on physical education teacher candidates’ attitudes toward the teaching profession. Educ Sci-Theory Pract.2015; 15(1): 201-12.
69.
FrancoETovarCGonzalez-PenoACoteronJ. Effects of a sport education model-based teaching intervention on students’ behavioral and motivational outcomes within the physical education setting in the COVID-19 scenario. Sustainability.2021; 13(22): 15.
70.
GaoZXiangPLiuWH. Effect of student teaching on preservice physical education teachers’ efficacy beliefs. Res Q Exerc Sport.2009; 80(1): A57-A.
71.
Garcia-CastejonGCamerinoOCastanerMManzano-SanchezDJimenez-ParraJFValero-ValenzuelaA. Implementation of a Hybrid Educational Program between the Model of Personal and Social Responsibility (TPSR) and the Teaching Games for Understanding (TGfU) in Physical Education and Its Effects on Health: An Approach Based on Mixed Methods. Children-Basel.2021; 8(7): 22.
72.
GibbonsSLEbbeckV. The effect of different teaching strategies on the moral development of physical education students. J Teach Phys Educ.1997; 17(1): 85-98.
73.
Gil-AriasAHarveySGarcia-HerrerosFGonzalez-VilloraSPraxedesAMorenoA. Effect of a hybrid teaching games for understanding/sport education unit on elementary students’ self-determined motivation in physical education. Eur Phys Educ Rev.2021; 27(2): 366-83.
74.
Granero-GallegosARuiz-MonteroPJBaena-ExtremeraAMartinez-MolinaM. Effects of motivation, basic psychological needs, and teaching competence on disruptive behaviours in secondary school physical education students. Int J Environ Res Public Health.2019; 16(23): 15.
75.
Guijarro-RomeroSMayorga-VegaDCasado-RoblesCVicianaJ. Effect of a physical education-based fitness intermittent teaching unit on high school students’ cardiorespiratory fitness: a cluster-randomized controlled trial. J Sports Med Phys Fit.2020; 60(5): 700-8.
76.
ZhangSQWeiGWWangRWuJWeiCGuoYF, et al. Improved CODAS method under picture 2-tuple linguistic environment and its application for a green supplier selection. Informatica.2021; 32(1): 195-216.
