What Actually Differs between Traditional Teaching and Sport Education in Students' Learning Outcomes? A Critical Systematic Review.

This systematic review aimed to examine the main findings concerning to the investigations focused on compare, within Physical Education context, the influence of Sport Education (SE) and Traditional Teaching (TT) on students' learning outcomes. A literature search was conducted on nine electronic databases (PubMed, Google Scholar, Web of Science, SCOPUS, Academic Search Ultimate, ERIC, Education Source, APA PsycINFO and APA PsycARTICLES). Inclusion criteria were defined before the selection process. Accordingly, were only included articles that (i) were published in peer-reviewed international journals indexed in Journal Citation Reports or Scientific Journal Rankings; (ii) were available in full-text; (iii) were published in English, Portuguese or Spanish; (iv) were performed within Physical Education context; and (v) provided specifically a comparison between the effects of SE and TT on students' learning outcomes. Globally, twenty-eight studies met the inclusion criteria. The manuscripts' methodological quality was assessed through Downs and Black checklist, with all studies displaying moderate quality. Results showed that comparisons among SE and TT tend to analyze team sports activities sampling high-school students via quasi-experimental designs, with more than half of them were published over the past five years. Also, these investigations typically focused on the differences between both models on the development of personal and social skills, as well as its impact on the motor and cognitive domains. In this respect, although the results tend to point out increases in both SE and TT, superior values are achieved when SE is implemented. The analysis of the teaching-learning process using alternative research methods and designs (i.e., experimental studies, qualitative data, longitudinal analysis, action-research and case studies), longer units with appropriate planning, and the report of model's fidelity so that robust findings can endorse the teachers' praxis, must be a concern in future studies.

What Do We Know About the Development of Personal and Social Skills within the Sport Education Model: A Systematic Review.

The purpose of the present study was to conduct a review of the research on the Sport Education (SE) studies that have examined the development of students' personal and social skills. Research articles selected were found through Web of Science, SCOPUS, Academic Search Complete, ERIC, SPORTDiscus with Full Text, Education Source, PsycINFO and PsycARTICLES databases. The keywords "Sport Education" and "physical education" were used in different combinations. The articles were included for analysis if the following criteria were met: (i) were published in peer-reviewed international journals indexed in JCR (Journal Citation Reports) or SJR (Scientific Journal Rankings); (ii) were available in full-text; (iii) examined personal and social variables included or measured as main outcomes within the SE model. The quality of the selected studies was scored using a quality assessment list. Fifty-one studies were included. Results showed that, considering the development of social and personal competencies, the majority of SE research took place in Spain and USA in a co-educational PE context (high school). Enjoyment/satisfaction, enthusiasm and engagement were the predominant outcome measures, using a non-experimental design and multiple qualitative tools in more than half of the studies. Few studies established the fidelity of the model implementation. There is a need for future research to consider other samples, contexts, cultures and types of sports seeking to reinforce the positive impact of SE on the personal and social competencies. Longer units with a good planning, mixed and quantitative methodological designs and the report of the model fidelity would be also particularly important for future investigations.

Sport Education and Direct Instruction Units: Comparison of Student Knowledge Development in Athletics.

This study conducted a comparative analysis of students' knowledge development on athletics in Sport Education and in a Direct Instruction unit taking into account sex and initial skill level. The participants were an experienced Physical Education teacher and two sixth-grade classes totaling 47 students (25 boys and 22 girls). Each class was randomly placed in either Sport Education or Direct Instruction classes and participated in 20, 45-minutes lessons focused on shot put, hurdles and triple jump. Knowledge on athletics was assessed through a 25-items written and video-based test. The inter-group differences and improvements across time in the knowledge test were analyzed through the Mann-Whitney and Wilcoxon tests, respectively. There were significant knowledge improvements in both instructional approaches irrespective of students' gender and skill level. In Direct Instruction, the type of task organization, the high rates of repetition of movement patterns and feedback by the teacher were beneficial to student learning. In Sport Education, the autonomy granted to students in the control of the pace of task transitions by making on-going judgments on achievement of performance criteria, implicated students affectively and cognitively with the learning content. It was further supported that several models and teaching strategies should be taken into consideration when teaching Physical Education. Different approaches should be perceived as alternatives and teachers should retain the best in each according with the moment in the unit, student developmental stage, and the specific learning objectives in the task.

To Sample or to Specialise? Sport Participation Patterns of Youth Team Sport Male Players.

This study characterised the sport participation patterns of 546 male youth team sport players. A retrospective questionnaire was used to identify the sport starting age (general sports and main sport) and the quantity and type of sports undertaken during the early years of development. A mixed-ANOVA and Chi-square tests were implemented. All participants started involvement in sports at the same age (~5 years) and participated in the same number of sports during their early years (1 to 2 sports). However, football players started participating mainly in team games (football, futsal) and water polo players in CGS sports (swimming). Participants reported different ages for initial participation in: (i) main sport (football players started participating earlier, around 5-6 years), (ii) onset of specialisation (football players specialised earlier, around 7 or 8 years), (iii) types of sports engaged in (football players were involved in more team games and water polo in more CGS sports), and (iv) variations in weekly training hours (water polo reported more hours of training). This study provided empirical evidence for understanding the effects of different sporting pathways on long-term athlete development. Some key incongruities between contemporary knowledge and practice are acknowledged. Further investigations should be developed by examining the trajectories in different sports, countries, genders, and cultural contexts.

Coexistence of Distinct Performance Models in High-Level Women's Volleyball.

In performance analysis, and most notably in match analysis, generalizing game patterns in a sport or competition may result in formulating generic models and neglecting relevant variability in benefit of average or central values. Here, we aimed to understand how different game models can coexist at the same competitive level using social network analysis with degree centrality to obtain systemic mappings for six volleyball matches, one for each of the six national teams playing in the 2014 World Grand Prix Finals, guaranteeing a homogeneous game level and balanced matches. Although the sample was not recent, this was not relevant for our purposes, since we aimed to merely expose a proof of concept. A total of 56 sets and 7,176 ball possessions were analysed through Gephi Software, considering game actions as nodes and the interaction between them as edges. Results supported the coexistence of different performance models at the highest levels of practice, with each of the six teams presenting a very distinct game model. For example, important differences in eigenvector centrality in attack zones (ranging from 0 to 34) and tempos (20 to 38) were found between the six teams, as well as in defensive lines (20 to 39) and block opposition (22 to 37). This further suggests that there may be multiple pathways towards expert performance within any given sport, inviting a re-conceptualization of monolithic talent identification, detection and selection models. Future studies could benefit from standardizing the metrics in function of the number of ball possessions.