| Literature DB >> 35955027 |
Yafei Shen1, Weide Shao2.
Abstract
Hybrid implementation of pedagogical models (PMs) helps to overcome the limitations of a single pedagogical model (PM) when it comes to improving student learning outcomes in physical education (PE). Empirical research on hybridizations has grown substantially in recent years, so the purpose of this study was to conduct a systematic review on the effects and mechanisms of different hybridizations on students' learning outcomes (i.e., motor, cognitive, affective, and social) in PE. Electronic databases, including ERIC, SCOPUS, EBSCO host, and Web of Science, were used to select intervention studies. After inclusion and exclusion criteria were applied, 17 high-quality studies, published in English peer-reviewed journals, were assessed. Results show that there were seven different hybrid models having impacts on students' learning outcomes, which could be divided into four categories: (1) game performance and technical skills; (2) understanding of tactics and decision-making abilities; (3) motivation, autonomy, and confidence; (4) interpersonal skills, cooperative learning ability, and responsibility. Length of implementation and teachers' familiarity were the main factors that limit the implementation on hybridizations. Future research should consider quasi-experiments with control groups of hybrids versus single models to figure out the advantages of the hybrid model over the single model; including more evidence from different schools, regions, and countries is necessary.Entities:
Keywords: hybridization; learning outcomes; pedagogical models; physical education
Mesh:
Year: 2022 PMID: 35955027 PMCID: PMC9368380 DOI: 10.3390/ijerph19159673
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Flowchart of study selection process.
Study characteristics.
| Author/Year | Focus | Participants | Hybrid | Length of Unit/Content | Data Sources | Research Design | Learning Outcomes |
|---|---|---|---|---|---|---|---|
| Hastie and Buchanan 2000 [ | Examine the viability of SE-TPSR in action and develop a theory of Empowering Sport model | 45 grade 6 boys; | SE-TPSR | 26 lessons; Xball | independent observations, daily debriefs, informal interviews | Qualitative: constant comparison technique | Social |
| Hastie and Curtner-Smith 2006 [ | Analyzing the impact of SE-TGFU implementation on teachers and students | 29 grade 6 students (11 boys and 18 girls); | SE-TGFU | 22 lessons; batting/fielding games | Reflective log and notes | Mixed: analytic induction technique; enumerative analysis; typological analysis; constant comparison | Cognitive, affective |
| Mesquita et al., 2012 [ | Analyze the impact of SE-IGCM on student decision-making, skill execution, and overall competition performance | 26 grade 5 (17 girls and 9 boys); | SE-IGCM | 22 lessons; soccer | Game Performance Assessment Instrument (GPAI), Video observation | Quantitative: Mann-Whitney test, Wilcoxon test | Motor, cognitive |
| Stran et al., 2012 [ | To examine pre-service teachers’ perceptions of SE-TGFU and analyze the facilitators and hindrances they experienced in implementing the model | 22 pre-service teachers (14 male and 9 female, average age 23); | SE-TGFU | 20 lessons; Invasion games | focus group interviews, critical incident | Qualitative: thematic analysis method | Cognitive, affective |
| Farias et al., 2015 [ | Analyzing the effects of SE-IGCM on students’ performance and game understanding in soccer games | 24 grade 5 students (16 girls and 8 boys); mean age 10.3 years | SE-IGCM | 17 lessons; soccer | The Game Performance Observation Instrument, Coding Association 6 Conference, The Game Understanding Test | Mixed studies: Mann-Whitney test, Wilcoxon test | Motor, cognitive |
| Araújo et al., 2016 [ | Analyzing the impact of SE-SGA on student competition performance | 17 grade 7 students (7 girls, 10 boys); average age 11.8 years | SE-SGA | 25 class lessons; volleyball | Video Observation, Game Performance Assessment Tool (GPAI) | Quantitative: analysis of variance (ANOVA) | Motor, cognitive |
| Araújo et al., 2017 [ | Examining the impact on student coaches’ pedagogical content knowledge (PCK) | 21 students (11 males and 10 females); mean age 12.0 | SE-SGA | 20–25 lessons; volleyball | Video observation, field notes, interviews | Qualitative: thematic analysis method | cognitive |
| Fernandez-Rio and Menendez-Santurio 2017 [ | Assessing students’ and teachers’ perceptions of participating in taekwondo at SE-TPSR | 71 grade 9 students; | SE-TPSR | 16 lessons; Taekwondo | Open-ended questions, Photovoice, diaries of teachers and external observers, semi-structured interviews. | Qualitative: thematic analysis method | Social |
| Gil-Arias et al., 2017 [ | Measuring students’ motivation to participate in physical activity | 55 grade 4 students (27 female, 28 male); mean age 15.45 | SE-TGfU | 16 lessons; volleyball | Scales: Autonomous motivation, Basic psychological needs, Enjoyment, Intention to be physically active | Quantitative: control group, MANOVA, Shapiro-Wilks test | Affective |
| Chiva-Bartoll, Salvador-García, and Ruiz-Montero 2018 [ | Examining the evolution of student motivational climate in physical education classes | 96 grade 4 students; mean age 15 | CL-TPSR | 8 weeks; handball | Task Engagement Scale, Self-Engagement Scale | Quantitative: quasi-experimental designs, control groups, and | Affective |
| Araújo et al., 2019 [ | Analysis of student competition performance in three SE-SGA seasons | 18 grade 7 students (8 female and 10 male) | SE-SGA | 20–25 lessons; volleyball | Video observation, the Game Performance Assessment Instrument (GPAI), | Quantitative: hierarchical linear model | Motor |
| García-González et al., 2020 [ | Demonstrate whether SE-TGFU can be more effective for less motivated students | 49 students (49% female, 51% male); mean age 15.50 | SE-TGFU | 10 lessons; volleyball | Basic Psychological Needs Support Questionnaire (BPNES), Basic Psychological Needs for Exercise Scale (BPNES), Novelty Needs Satisfaction Scale (NNSS), Perceived Variety of Exercise Questionnaire (PVE), Perceived Causality Questionnaire | Quantitative: anterior-posterior lateral measurements, | Affective |
| Gil-Arias, Diloy-Peña, et al., 2020 [ | Analyzing the effects of SE-TGFU on student motivational outcomes | 53 grade 4 students (16 female, 37 male); mean age 15.50 | SE-TGFU | 10 lessons; volleyball | Questionnaires, focus groups | Mixed: one-way analysis of variance, analysis of variance, deductive content analysis | affective |
| Gil-Arias, Claver, et al., 2020 [ | Analysis of SE-TGFU on autonomy support, sensory | 53 grade 4 students (16 female, 37 male); mean age 15.50 | SE-TGFU | 16 lessons; handball and basketball | Physical Education Class Learning and Performance Orientation Questionnaire, Autonomy Support Coaching Strategies Questionnaire, Enjoyment and Perceived Ability Scale | Quantitative: a counter-balanced crossover design | affective |
| Gil-Arias, Harvey, et al., 2020 [ | Investigating the effects of using SE-TGFU on perceived autonomy support, perceived need satisfaction, autonomy motivation, and adaptive outcomes | 292 grade 6 students (140 female, 152 male); mean age 10.41 | SE-TGFU | 16 lessons; basketball | Autonomy Support Coaching Strategies Questionnaire, BPNs in Sport Scale, Perceived Causality Questionnaire, Relational Goals Questionnaire, Physical Activity Class Satisfaction Questionnaire | Quantitative: analysis of variance | Affective |
| Evangelio et al., 2021 [ | Explore students’ perceptions of the SE-CL-HBPE three-model mix | 115 grade 5–6 students (46.09% girls); 10–13 years old | SE-CL-HBPE | 13 lessons; an educative version of CrossFit (‘Edu-Crossfit’) | Interviews | Qualitative: thematic analysis method | Social |
| García-Castejón et al., 2021 [ | Effects on student health and psychosocial variables | 99 students grade 1 and 2 of secondary school (51 girls and 48 boys); 12–14 years old | TPSR-TGfU | 22 lessons; basketball, soccer, volleyball | Questionnaires, video recordings, semi-structured interviews | Mixed: a quasi-experimental pre-post study | Affective, social |
Quality score checklist.
| Reference | Description of PM | Characteristics of the | Reasonable Design of the Study | Detailed Data Collection | Detailed Data Analysis | Validity and Reliability | Inclusion of Models’ | Report of Learning | Discussion of Results | Total Score |
|---|---|---|---|---|---|---|---|---|---|---|
| Hastie and Buchanan 2000 [ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 8 |
| Hastie and Curtner-Smith 2006 [ | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 7 |
| Mesquita et al., 2012 [ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 8 |
| Stran et al., 2012 [ | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Farias et al., 2015 [ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 8 |
| Araújo et al., 2016 [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |
| Araújo et al., 2017 [ | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 7 |
| Fernandez-Rio and Menendez-Santurio 2017 [ | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 7 |
| Gil-Arias et al., 2017 [ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 8 |
| Chiva-Bartoll, Salvador-García, and Ruiz-Montero 2018 [ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 7 |
| Araújo et al., 2019 [ | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| García-González et al., 2020 [ | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Gil-Arias, Diloy-Peña, et al., 2020 [ | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Gil-Arias, Claver, et al., 2020 [ | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Gil-Arias, Harvey, et al., 2020 [ | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Evangelio et al., 2021 [ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 8 |
| García-Castejón et al., 2021 [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |