Mittuniversitetet

Skinner claimed when outlining his behaviorist philosophy, that concepts exist in the world before anyone identifies them, yet that they are inherently linked to social and cultural descriptions and predictions. The perspective has been dismissed by many researchers in the learning sciences as an important but obsolete relic in origin narratives introducing perspectives. In such a narrative, behaviorism is portrayed as incompatible with complex domains related to agency, emotion and engagement. However, researchers have started to consider its benefits when taking the necessary and required steps to provide a clear analysis of sequential learning tasks on a materialistic level.

Following the recent trend of defending behaviorism, the presented paper creatively explores the valuable and useful functions of behaviorist philosophy that are integral to research associated with design, teacher professional development, and digital ubiquitous technology. The paper aims to provide a philosophical foundation for further discussion of a scientific methodology by relating basic conceptual underpinnings of behaviorism to different domains and levels of analysis integral to the networked sociocultural perspective.

Behaviorist methodological considerations in the learning sciences are rare compared to the 20th century. As a result, researchers may be conditioned towards an unbalanced and fragmented evidence base for the improvement of classroom teaching in primary education. The presented systematic literature review relates research of digital technology and learning in primary education to expected learning in primary education. In total, 641 articles published 2011–2020 were included and 2777 were excluded by full-text criteria review using radical behaviorist methodological presuppositions.

Findings show a low but increasing frequency of articles with behaviorist approaches, optimistic expectancy and evidence of learning in primary education through use of digital technology, and a trend for research to emphasize representational functions of digital technology. The relevancy of radical behaviorist methodology is discussed based upon the implications of the findings and other 21st century themes.

Students’ stress levels may affect their well-being, attentiveness and learning outcomes in primary education classrooms. Positive behavioural interventions and support actions conducted by teachers may alleviate students’ stress levels, especially when addressing special educational needs. In this multimodal learning analytics study, students in a classroom were all given a smartband for their wrist during regular curriculum activities. Data comprised the semester of a single subject as a part of a research project conducted in Sweden. Biobehavioural stress-related arousal of students’ autonomic nervous system was visualised and analysed through distinguished behavioural modes. Additional data include naturalistic observational notes and two short teacher interviews. Research methodology and strategies for innovative implementation were presented and discussed alongside contextual details. For example, stress-level visualisations can aid actionable adjustments of behavioural intervention intensity and provide students’ attentiveness overview for teachers that sequence curricular activities during planning. Findings show an interdisciplinary basis for cost effective real-time dynamic solutions that involve visual dashboards with advantages to understanding student learning, both at a school-wide system level and for the classroom, if viewed optimistically. However, research on the topic is still in its infancy, notably with ethical risks as a growing pain.

Digital technology in primary education can both be distracting and increase attentiveness. Many students with Special Educational Needs (SEN) have difficulties with skills that address attention, and teachers are expected to provide support. Such skills are referred to as Executive Function (EF) in neuroscience, relating to self-regulation, attention shifting, and inhibition of behavior. This systematic literature review outlines research on primary education during 2000–2022 that relates students’ EF and digital technology through empirical data and suggested SEN-inclusive educational interventions. 288 full-text journal articles were assessed, and 26 were included for analysis. Findings include common game-based solutions for EF and SEN support, enabling explicit goals, short teaching activities, and recorded outcomes. Other examples include EF skills training and classroom management with digital monitoring devices. A substantially increased research interest during 2021–2022 was observed. Aspects needing further research are discussed, such as more special education views with cost-effective behavioral approaches. 

In this short paper, analytical issues of networked learning are related to special needs support and learning analytics research in primary education. Very brief suggestions for these analytical issues are discussed for the networked learning research field to continue to expand upon. In part, the discussion is intended to form the underpinnings of a work-in-progress research project with cross-disciplinary networked connections across multiple universities.

Currently, teachers are faced with an expansion of their professional role that may be too economically demanding, which may result in consequences that is not beneficial for children with special needs. Researchers that aim to study inclusive education face the challenge to represent findings in a way that does not increase workload for teachers in primary education. Any failings in this regard may strengthen the intertwining of educational results and economical interest, which to a large extent could be considered as opposed to networked learning theory, dualistically separated from pedagogical concerns.

The inclusive goal of addressing diversity for children with special needs may be promoted by providing an educational setting with networked connections that enhances variation to modes of behavior, by addressing specific and contextual strengths and challenges of students appropriately. With learning analytics, specific and contextual strengths and challenges of students might be easier to highlight with new database schemas, algorithms, and user interfaces to represent networked data. Radical behaviorist methodology may further emphasize specific contextual findings from primary education through strictly defined events of behavior, which may be of interest to the networked learning research community to further expand upon.

Thus, this paper proposes suggestions for networked learning research of primary education, with approaches commonly implemented in special education, such as radical behaviorist methodology. The suggestions are based on networked consequences from three social dimensions: political, economic, and technology-developmental.

1    The political dimension is discussed through the notion of inclusive education for children with special needs and its current state,

2     the economic dimension is discussed through the 21st century role expansion of teachers,

3    the technology-developmental dimension is discussed through learning analytic research and its connection to bodily and biological associations. This dimension is especially noteworthy, as learning analytics is currently underutilized in primary education research as opposed to common higher education research.