Did children’s perceptions of an after-school social learning program predict change in their behavior?

This research explored the influence of children’s perceptions of a pro-social behavior after-school program on actual change in the children’s behavioral outcomes over the program’s duration. Children’s perceptions of three program processes were collected as well as self-reported pro-social and anti-social behavior before and after the program. Statistical models showed that: Positive perceptions of the program facilitators’ dispositions significantly predicted reductions in anti-social behavior; and positive perceptions with the program activities significantly predicted gains in pro-social behavior. The children’s perceptions of their peers’ behavior in the sessions were not found to a significant predictor of behavioral change. The two significant perceptual indicators predicted a small percentage of the change in the behavioral outcomes. However, as after-school social learning programs have a research history of problematic implementation children’s perceptions should be considered in future program design, evaluation and monitoring.

Assessing sustainability : a technical fix or a means of social learning?

The contextual nature of sustainability makes it extremely difficult to measure. Across the world each region has a specific environment and history that has shaped values and perceptions of the local community. In response, a wide range of tools has been developed that employ differing techniques to measure sustainability. These have a range of applications from global to site-specific scales. However, it is yet to be resolved whether assessments made using these tools reflect a technical focus with no close links to the knowledge and perceptions of stakeholders, community and management decisions, or whether the assessments reflect the knowledge and perceptions of local stakeholders and the community. In the southwest region of Victoria, Australia, a sustainability index called AIRS (An Index of Regional Sustainability) has recently been developed. This tool is based on indicators selected by stakeholders and considers relationships between the indicators. The aim of this paper is to report an ex-post evaluation of the AIRS sustainability assessment conducted at a subcatchment scale. The evaluation assesses AIRS's ability to assess regional sustainability and compares and contrasts the subcatchment assessments with the knowledge and perceptions of stakeholders and the community. A participatory approach that acknowledges key stakeholders was used for the evaluation process. Representatives from four stakeholder groups were interviewed to elicit their views of the AIRS assessment, its relevance, quality, applicability and priorities for future development. Strengths and weaknesses of AIRS are revealed and its contribution to social learning is highlighted.

Computational studies to understand the role of social learning in team familiarity and its effects on team performance

This paper concerns social learning modes and their effects on team performance. Social learning, such as by observing others' actions and their outcomes, allows members of a team to learn what other members know. Knowing what other members know can reduce task communication and co-ordination overhead, which helps the team to perform faster since members can devote their attention to their tasks. This paper describes agent-based simulation studies using a computational model that implements different social learning modes as parameters that can be controlled in the simulations. The results show that social learning from both direct and indirect observations positively contributes to learning about what others know, but the value of social learning is sensitive to prior familiarity such that minimum thresholds of team familiarity are needed to realise the benefits of social learning. This threshold increases with task complexity. These findings clarify the level of influence that sociality has on social learning and sets up a formal framework by which to conduct studies on how social context influences learning and group performance.

The challenges and risks of measuring performance in a social learning system

This submission draws attention to the challenges of modelling and measuring teacher performance and the risks associated with the measurement of student and teacher performance. The first premise of this submission is that all such performances are strongly contextual, and that therefore valid modelling and measurement must take the effective dimensions of this context into account. The second premise of this submission is that this performance-context nexus operates as a system and that one of the properties of such systems is continuous feedback looping. The submission draws attention as well to an important entailment of this argument, which is that invalid modelling and measurement may lead to a distortion of the productive functioning of learning systems. This submission accordingly urges the Commission to commit to developing an econometric model which reckons with the contextual determinants of student and teacher performance, and the pursuit of system-wide productivity increases on the basis of the school learning system as the basic unit of analysis. The Commission is also urged to investigate the suggestion that performance measurement regimes which take the basic units of measurement as individual student and teacher performance rather than the school pose a risk to the productivity of schools as learning systems and innovation in the Australian economy as a whole in the longer term.

Learning in social action : the informal and social learning dimensions of circumstantial and lifelong activists

This paper explores the informal and social learning dimensions of activists as they learn skills and knowledge through participating in social action. In doing this I draw on Lave and Wenger's epistemology of situated learning and Bourdieu's theory of "habitus". I argue activists learn an array of community development skills in the social environment of activism. I claim activists' learning is cognitive, embodied and situated in practice. This paper is based on empirical research in Australia, where in-depth interviews were conducted with activists to uncover their important pedagogy. It explores the learning dimensions of two groups of activists. "Lifelong activists" who have generally been involved in student politics and have participated in activism over many years, and "circumstantial activists" who become involved in protest due to a series of life circumstances. This paper claims that while both groups' learning is social and informal, lifelong activists tend to develop their skills incrementally by being involved in the fertile site of student politics. On the other hand, circumstantial activists, not having had the benefit of early immersion in a community of practice, are rapid learners. They are frequently taken out of their comfort zone as activists and need to acquire new knowledge and skills urgently in order to practise effectively. Some circumstantial activists remain on the periphery of activism and never fully immerse themselves in the practices of activism. I argue there is much to be gained from understanding learning in social action, an epistemology of adult learning which deserves greater prominence in current adult education discourse.

Infusing instructional design principles into an active student-centred social learning framework

Social and participatory media offer a plethora of ways for students to communicate, collaborate, and learn in schools. Using a social learning approach, Casey (2013a) investigated ways that social media could be integrated into Australian public high school classrooms to enhance student learning. In the process, she developed a social learning framework as discussed in Casey (2013b). Similarly, Davidson-Shivers and Hulon (2013; Hulon & Daidson-Shivers, 2013) suggest ways to employ ID principles to prepare college instructors and pre-service teachers to integrate technology into classrooms. Prior to that, Davidson-Shivers with Rasmussen (2006) developed an instructional design (ID) model for creating effective Web-based learning environments. Through collaboration, Casey and Davidson-Shivers consider a wide range of social learning and instructional design principles and approaches to help develop frameworks for new media integration that can work within varying levels of education.

Social learning and action understanding in human observers: contributions of sensori-motor constraints and prior information

The aim of this thesis was to investigate the respective contribution of prior information and sensorimotor constraints to action understanding, and to estimate their consequences on the evolution of human social learning. Even though a huge amount of literature is dedicated to the study of action understanding and its role in social learning, these issues are still largely debated. Here, I critically describe two main perspectives. The first perspective interprets faithful social learning as an outcome of a fine-grained representation of others’ actions and intentions that requires sophisticated socio-cognitive skills. In contrast, the second perspective highlights the role of simpler decision heuristics, the recruitment of which is determined by individual and ecological constraints. The present thesis aims to show, through four experimental works, that these two contributions are not mutually exclusive. A first study investigates the role of the inferior frontal cortex (IFC), the anterior intraparietal area (AIP) and the primary somatosensory cortex (S1) in the recognition of other people’s actions, using a transcranial magnetic stimulation adaptation paradigm (TMSA). The second work studies whether, and how, higher-order and lower-order prior information (acquired from the probabilistic sampling of past events vs. derived from an estimation of biomechanical constraints of observed actions) interacts during the prediction of other people’s intentions. Using a single-pulse TMS procedure, the third study investigates whether the interaction between these two classes of priors modulates the motor system activity. The fourth study tests the extent to which behavioral and ecological constraints influence the emergence of faithful social learning strategies at a population level. The collected data contribute to elucidate how higher-order and lower-order prior expectations interact during action prediction, and clarify the neural mechanisms underlying such interaction. Finally, these works provide/open promising perspectives for a better understanding of social learning, with possible extensions to animal models.

An empirical examination of the integration of causal attribution and social learning theories in achievement situations

Using path analysis, the present investigation sought to clarify possible operational linkages among constructs from social learning and attribution theories within the context of a self-esteem system. Subjects were 300 undergraduate university students who completed a measure of self-esteem and indicated expectancies for success and minimal goal levels for an experimental task. After completing the task and receiving feedback about their performance, subjects completed causal attribution and self-esteem questionnaires. Results revealed gender differences in the degree and strength of the proposed relations, but not in the mean levels of the variables studied. Results suggested that the integration of social learning and attribution theories within a single conceptual model provides a better understanding of students' behaviors and self-esteem in achievement situations.