Across the last three decades, the research has been investigated on how different teaching models may impact on students’ learning through the building of high-quality learning environments (O'Sullivan, 2013). Retrospectively, Physical Education (PE) evolved across the 1980s in response to the socio-political reform movements that were characteristic of that decade. Accordingly, teaching approaches moved from teacher-centered (e.g., direct instruction model) which were based on behavioristic assumptions, to student-centered (e.g., Sport Education) built upon constructivist and social learning theories (Dyson, 2014; O'Sullivan, 2013). Within a socio-constructivist perspective, the learner is placed at the core of the learning process, playing an active role in building his/her knowledge and developing autonomy and responsibility skills (Perkins, 1999). In this sense, the teacher’s role is readjusted, acting as a facilitator of learning who uses informal and implicit instructional strategies to guide the discovery of the learning process (Goodyear and Dudley, 2015). Aligned with the socio-constructivist premises, and following the conceptual and practical evolution in PE, the Sport Education (SE) model (Siedentop, 1994) was developed as a learner-centered teaching model. Since its conceptualization, SE has been undeniably a hot topic in the field of PE research. In contrast to teaching-centered approaches that place teachers on ‘center-stage’, and consider learners as motion reproducers, SE aims principally to develop competent (i.e., tactical and technically skilled to participate in game-forms), literate (i.e., aware of sport traditions, rules as well as good and bad sports practices) and enthusiastic (i.e., motivated to preserve the sports culture) sportspersons (Siedentop et al., 2020). In doing so, SE engages concomitantly motor, cognitive, social and emotional domains, all contributing to the holistic development of the learners (Araújo et al., 2014; Bessa et al., 2019; Hastie et al., 2011b; Wallhead and O'Sullivan, 2005). Overall, SE was designed to recreate the key features of the institutionalized sport context. In this sense, learners usually perform other roles besides player, including for instance coach, team manager, or referee roles. SE, therefore, is a curriculum and instruction model designed to afford an authentic, educational and thereby rich sport experience. Specifically, learning tasks in SE are carefully organized to underline cooperative work, problem-solving, critical reflection, and learner interaction experiences (Siedentop et al., 2020). Due to the wide range and complexity of the learning activities, from a structural viewpoint SE requires seasons of at least 18 lessons. Globally, seasons are designed according to six main characteristics, namely, affiliation (work on common goals), seasons (longer units than typical PE units) formal competition (meaningful games), culminating events (recognition of those who excel), record keeping (built-in feedback) and festivity (celebration) (Siedentop, 1994). The relevant advantages identified in implementing SE have been attributed to its structural features, such as: (i) the authentic recreation of the sport context (i.e., competitive seasons, formal competition, teams, etc.) which increases the motor, cognitive, and emotional engagement of learners (Mesquita et al., 2014), (ii) the competition, which portrays as a useful educational tool enabling the development of tactical knowledge and game performance (Layne and Hastie, 2014; Mahedero et al., 2015), (iii) the reduced exclusion of learners, by balancing the opportunities of participation through the building of authentic and meaningful competitive game-forms (Farias et al., 2017), and (iv) the learner as an active voice throughout their own learning process and the reinforcement of teamwork which, in turns, promotes the development of personal and social competences (Smither and Zhu, 2011). Given the high number of studies that have sought to empirically test the purported benefits of SE, systematic reviews have been conducted to summarize the key research findings, support practitioner’s pedagogical intervention, and guide future research avenues (e.g., Araújo et al., 2014; Bessa et al., 2019; Hastie et al., 2011b; Wallhead and O'Sullivan, 2005). In this respect, the systematic reviews undertaken so far have emphasized the positive benefits of SE in improving learners’ responsibility, cooperation, and trust skills (Bessa et al., 2019). Also, systematic reviews have depicted how SE expanded enormously over the last five years to include all learning domains: physical, social, cognitive, and affective (Evangelio et al., 2018), as well as how studies focusing on SE have tended to progress to more sophisticated designs and larger sample sizes (Hastie et al., 2011b). Despite the extensive research focus on SE, the Traditional Teaching approach (TT), which is linked to a more teacher-centered approach, is also frequently adopted by PE teachers (Gubacs-Collins, 2015). The TT involves a teaching style where decisions concerning planning, instruction, and assessment are made by teachers with little or none student input (Mosston and Ashworth, 2008). Thereby, within the TT, the teacher is completely in charge of all instructional decisions about didactical content development, class management, learner accountability and learner engagement (Metzler, 2017). Thus, in order to potentiate task efficacy and the time-class available, the teacher assumes full control of events by defining rules and behavioral patterns that learners must follow. Contrary to how SE structures its classes, the TT classes are typically structured through time-periods, with the teacher presenting the expected movement patterns. In this sense, the motor and cognitive domains are highlighted due to its assumption that some level of proficiency in elementary motor skills is necessary before proficient engagement in more complex game-forms (Rink, 1993). Overall, the TT has a preference for high-structured learning tasks, as it allows close observation by the teacher who critically examines the learners’ movement patterns and skills performed, reinforces correct responses, and gives corrective feedback when incorrect responses are identified (Metzler, 2017). Learners are thus expected to replicate movement patterns, answering to specific, and punctual questions. This teaching approach involves, thereby a low-cognitive engagement as students’ cognitive processes are only recruited when they receive information from the teacher and internalize it (McMorris, 1998). Given its instructional and structural features (e.g., skills-drills, lines or circuit organization), the TT is largely recognized to be efficient in promoting active participation of learners due to its repetitive practice emphasis (Hastie et al., 2011a). In addition, it is seen as helpful in motor domain as it focuses on developing motor skills through progressions (e.g., close motor skills), as well as in earlier stages of learning (i.e., novice learners) (French et al., 1991; Sweeting and Rink, 1999). Finally, the frequent and ongoing teacher’s feedback featured of TT has been identified as an important tool to provide in-time correction of a learners’ movements and actions (Metzler, 2017). With the purpose of understanding the influence of SE and TT on the learning outcomes of different domains (e.g., game performance, affiliation, enjoyment, etc.), some studies have been conducted to contrast both models (e.g., Browne et al., 2004; Rocamora et al., 2019). Commonly, these studies claim a superiority of SE over TT. However, despite the well-reported benefits from SE, its advantages in comparison to TT are still under-developed. The novelty and scientific contribution of this systematic review grounds precisely on the need to synthesize evidence for extending and update the comprehension about what it currently knew, and what remains unclear in the literature. By doing so, this review also avoids the ongoingly false speculation and / or overly optimistic assumptions not supported by scientific evidence, while guiding future research avenues. Previous reviews about the impact of SE have irrefutably contributed to summarize the available evidence concerning the main aims of PE, namely fitness and tactical awareness (Hastie et al., 2011b), students’ learning (Araújo et al., 2014), students’ competence, literacy and enthusiasm (Hastie and Wallhead, 2016), learning outcomes (Evangelio et al., 2018), and more recently, students’ personal and social development (Bessa et al., 2019). Accordingly, due to the progressive amount of investigations dedicated to compare the influence SE and TT on students’ learning outcomes, summaries of the main empirical research findings are constantly required to update our understanding about the effects of its practical application. Also, knowing the benefits and weaknesses of each teaching model is possible to extend the comprehension of their effects on students’ learning domains, as well as the understanding of how the teaching models might be used and combined to optimize learning processes. Despite many systematic reviews have summarized the main findings about the impact of different teaching approaches, up to this date were not find any quantitative or qualitative review that has specifically compared, contrasted, and debated the impact of SE and TT on students’ learning which reinforces the innovative character of the present review. Aligned with the aforementioned rational, this study sought to assess the main findings concerning to the investigations devoted to compare the influence of SE and TT on students’ learning outcomes. Four research questions supported this review, namely:
(Q1) Which contexts were predominant in investigations that aimed to compare SE and TT on students’ learning outcomes?
(Q2) What were the most frequently variables analyzed when comparing a SE season and a TT unit?
(Q3) What were the methods predominantly used to compare the influence of SE and TT on students’ learning outcomes?
(Q4) Have these investigations been concerned about established the fidelity of the models’ implementation?
|