Activity analysis in sports situations by articulating heterogeneous data: reflections and perspectives for design engineering

Abstract

This article examines the expansion of methodologies for articulating heterogeneous (experiential and behavioral) data within the course-of-action research program (Theureau, 2004, 2006, 2009, 2015). In the area of sports expertise, recent studies have articulated verbalizations based on conscious awareness and behavioral data from largely unconscious processes in order to shed light on expert instrumented activity. The methodological differences between these studies are highlighted, especially regarding the priority given to the types of data and the conditions under which these data were collected. Three studies are presented, covering trail running, swimming, and ice climbing, and each is distinct in its conditions for data collection and processing and its methodology for data articulation. We examine their advantages and limitations for aiding the design of sports equipment and question the observatory within the course-of-action research program. Essentially, the program’s methodological advances raise questions about how sports equipment is designed, the athlete-researcher-designer relationship, and the heuristic scope for analyzing activity in work situations that share similarities with the instrumented activity of sports situations.

Emotions des élèves et apprentissages scolaires

“…24 L'analyse de la littérature ouvre à plusieurs perspectives de recherches prometteuses. Premièrement, le développement de l'articulation de données hétérogènes (Adé, Gal-Petitfaux, Rochat, Seifert & Vors, 2020) pourra certainement permettre de gagner en complexité dans l'étude des émotions, en documentant simultanément différentes facettes des émotions dans l'activité des élèves.…”

Synthesis and literature review of different mixed methods designs in pedagogical research in physical education

“…Hybrid methodologies have grown exponentially in recent years. Many terms are used: integrative research, mixed model (Johnson and Onwuegbuzie 2004), triangulation (Morse 1991), combined approach (Depraz and Desmidt 2019), multimethod (Greene 2015), articulating heterogeneous data (Adé et al 2020), mixed methods research, mixed methods, (Anadón 2019;Camerino, Castañer, and Anguera 2014;Creamer and Reeping 2020;Creswell and Plano Clark 2018;Hesse-Biber and Johnson 2015;Pluye et al 2018;Schweizer, del Rio Carral, and Santiago-Delefosse 2020).…”

“…Qualitative or quantitative data may have a subordinate or equal relationship. For example, in sport, the study by Adé et al (2020), based on the cross-referencing of three studies, showed different types of articulation between the data, with a prevalence of qualitative data of lived experience over biomechanical data in a technological training device for swimming, or an equal relationship between quantitative and qualitative data on the use of different ice axes in glacier climbing. Other studies grant a predominance of quantitative kinetic data over qualitative data to study interpersonal coordination in rowing performance (Seifert et al, 2017).…”

“…Beyond the theoretical framework, the proliferation of MMR has been important in various fields like health (e.g., Hong et al 2018;Morgan 1998), education (e.g., Creswell et al 2003;Teddlie and Tashakkori 2009), and sport (e.g., Camerino, Castañer, and Anguera 2014;Smith and McGannon 2018). However, mixed research in physical education remains rare, whereas the literature is much richer in the sports field (e.g., Adé et al 2020;Smith and McGannon 2018).…”