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This paper describes an approach to working with secondary preservice mathematics and science (M&S) teachers to develop their ability to design for active learning. It presents the design of a studio-style intervention that augments existing teacher education. It describes the way that these studios can be organised, with specific suggestions that a specialised learning designer, a subject matter expert, and administrative support be included to aid in the design for learning--on the justification that this can both improve the learning design as well as advance teacher learning. It describes a study in which 10 secondary M&S preservice teachers experienced this style of studio, through iterations of learning design sessions and teaching practice. The studio differs from existing models (such as the 'clinical model') through its focus on learning design, the structure of the learning network, and the way that it augments (rather than replaces) existing teacher education. The paper presents results from the study in terms of teacher self-efficacy and self-reported perceptions. It discusses a set of design principles that emerged through the process of developing and testing this model and proposes considerations for researchers or teacher educators looking to use a similar approach in future by focusing on the roles, tasks, and activities for members within the network.

There is an identified shortage of mathematics and science teachers across Australia and many of these teachers leave the profession within 3 to 5 years of graduating. This paper provides important insights on what motivates people to become science and mathematics teachers in Australia. Data drawn from two surveys, one investigating why students might become a teacher and the other examining why teachers joined the profession, are explored to provide unique insight into an area of need. Using descriptive statistics and Spearman's rho, results suggest contribution to society and love of subject area to be among the top motivators for becoming a teacher. Financial reward and parental occupation were found to be less selected motivators. Although differences existed between the two cohorts suggesting motivations may change, similarities provide focus for future recruitment and retention of science and mathematics teachers for higher education institutions and education policy makers.

This paper describes a model for teacher professional development as co-design for curriculum planning in which facilitators with design and pedagogical expertise iteratively work with groups of secondary school teachers, one school at a time, to plan whole terms of work, as a form of teacher professional development. It contains preliminary results from a design-based research study involving co-design with digital technologies teachers in two Australian secondary schools. It describes two phases of design involving workshops, strategies and instruments that work to facilitate effective co-design with teachers. Results from this pilot study suggest that the co-design for curriculum planning model leads to high quality teacher professional development for 21st century learning.

This paper investigates the complex factors that lead to early career teachers (ECTs) deciding to leave the profession. It extends prior studies to show the associations that different elements of preservice education (PSE), early career support, and on-the-job satisfaction have with the intention to leave the profession. The study uses data from 2,144 Australian ECTs to explore these relationships. Results highlight the importance of teachers' collegial relationships with their peers, and replicate prior findings showing the significance of mentoring and induction programs. Results show that elements of job satisfaction are strongly associated with intention to leave the profession, leading to a number of implications for achieving the twin goals of higher teacher retention and job satisfaction.

How feedback is understood and enacted has shifted from the traditional practice of providing individual feedback on summative tasks at key points to a more ongoing series of dialogues between the teacher and students during the teaching period. This paper reports on the experiences of designing faster feedback through weekly dialogic feedback loops to enhance students' personal connection to their learning while providing teachers with faster, actionable feedback data to inform learning design. A pragmatic inquiry considered how benefits might potentially be amplified through the use of digital technologies. Data included student reflections collected via the GoingOK web application, interviews and focus groups. The findings identify and theorise four types of digitally mediated feedback loops: students in computer-mediated dialogue with themselves; students and teachers in dialogue with each other; the reflection on how feedback informed learning; and the sociotechnical dialogue informing ongoing technical design. Three design dilemmas that were experienced by teachers as they enacted digitally mediated dialogic feedback loops are articulated, alongside the principles that enabled responsive design. Understanding these design elements is fundamental if automation of some parts of the feedback loop through reflective writing analytics is to be considered both feasible and desirable. Implications for practice or policy: (1) Digitally mediated feedback loops can facilitate faster feedback, enabling students to reflect on their learning and providing teachers with access to new insights about diverse learners; (2) Feedback technology can challenge existing ideas about feedback; (3) Faster feedback can save teachers time, but efficiencies are likely to depend on an increased human workload in the short term as automation technologies can be slower to develop; and (4) Sociotechnical innovation requires collective dialogue between educators and digital developers, across asynchronous timelines.

Purpose: The purpose of this paper is to develop representations for teacher coaching sessions that are (1) useful for communicating the session to other coaches or researchers and (2) capture the roles of the coach as convener of dialogue for teacher development as well as facilitator of design for learning. Design/methodology/approach: Two coaching sessions with preservice science teachers are analysed using two forms of discourse analysis--(1) the T-SEDA coding scheme (Vrikki "et al.," 2019) to analyse the dialogic interaction; and (2) a novel coding scheme to show the development of the design for learning over time. A synthetic representation is developed that combines and communicates the results of both analyses. Findings: Results show a novel way of representing coaching sessions with teachers during design for learning. Theoretical claims about the utility of this representation are made with reference to the literature. Practical implications: The representations and methods for developing them are useful to researchers in analysing coaching sessions. They have application for helping coaches to communicate their practice with one another. They are a step towards understanding the scalability and transferability of coaching programmes for school improvement. Originality/value: The paper highlights shortcomings of existing representations for teacher coaching sessions and produces a novel representation that has value for researchers.

This paper gives a grounded cognition account of model-based learning of complex scientific knowledge related to socio-scientific issues, such as climate change. It draws on the results from a study of high school students learning about the carbon cycle through computational agent-based models and investigates two questions: First, how do students ground their understanding about the phenomenon when they learn and solve problems with computer models? Second, what are common sources of mistakes in students' reasoning with computer models? Results show that students ground their understanding in computer models in five ways: direct observation, straight abstraction, generalisation, conceptualisation, and extension. Students also incorporate into their reasoning their knowledge and experiences that extend beyond phenomena represented in the models, such as attitudes about unsustainable carbon emission rates, human agency, external events, and the nature of computational models. The most common difficulties of the students relate to "seeing" the modelled scientific phenomenon and connecting results from the observations with other experiences and understandings about the phenomenon in the outside world. An important contribution of this study is the constructed coding scheme for establishing different ways of grounding, which helps to understand some challenges that students encounter when they learn about complex phenomena with agent-based computer models.

This article suggests that situations in which multiple research teams are convened under similar conditions present an opportunity to discover factors that lead to productive collaboration. It argues that social network analysis of research team outputs becomes more valuable when paired with data about research participant perceptions; and that any variables used as indicators of collaboration need to be calibrated using datasets from multiple studies with cross-team comparisons. The article provides an example of the kind of methodology needed to achieve this, describing a study with data from four research teams based at an Australian university campus, reporting their research performance over four years under conditions in which many variables were controlled and with results augmented by a survey of participant perceptions. Findings from the study indicate that there were exceptions to hypothesized associations between participant perceptions of collaboration and specific social network analysis measures over co-authorship data. The article suggests that, given the methodological challenges of studying research teams in the field, multiple datasets combining findings such as those in the present study are a path towards the development of indicators of productive higher education research collaboration.

This paper describes theory-led design as a way of developing novel tools for learning analytics (LA). It focuses upon the domain of automated discourse analysis (ADA) of group learning activities to help an instructor to orchestrate online groups in real-time. The paper outlines the literature on the development of LA tools within the domain of ADA, and poses an argument for conducting tool development based upon first-principles. It describes first principles as being drawn from theory and that these principles can subsequently inform the structure and behaviour of tools. It presents a framework for this process of theory-led design. The framework is substantiated through the example of developing a new tool for assisting instructors with the orchestration of online groups. A description of the tool is given and examples of results from use with real-world data are presented. The paper concludes with a call for intent on the part of designers to connect the design process explicitly to theory on the basis that this has the potential to yield innovation when developing tools as well as the prospect of outcomes from tools connecting back to theory.

This paper describes opportunities to improve the current support provided to beginning teachers in Australia. It holds that there is a need for approaches that go beyond school-based induction and support. The paper presents data from a survey of beginning teachers in Queensland, with aims to determine current access to support and perceptions about gaps in support. It uses these findings alongside existing evidence to make arguments that some beginning teachers are effectively unsupported and that universities have the potential to play a greater role in beginning teacher support. Further results are used to suggest guidelines for developing a national online community of pre-service and beginning teachers. A case study of a successful online professional support community is used as a model for how this may be implemented.

This research note addresses a significant gap in the literature in researching marginalised customers who may potentially experience vulnerability: the need to use a strengths-based approach in designing social marketing research. There has been a (positive) trend in recent decades towards greater inclusion of stakeholders in social marketing research, design and evaluation through the adoption of co-design methods. However, a theoretical issue that has not been adequately addressed within social marketing research (with some exceptions) is that it is possible to use co-design methods in such a way that the language and approaches that are employed serve to further disempower these groups through a deficit-based discourse. This research note uses reflexivity to propose a set of guidelines for how to implement a strengths-based approach when co-designing with customers experiencing vulnerability, specifically from a social marketing perspective. A real-world program in the context of empowering mature women to maintain secure housing is used to illustrate the guidelines. [ABSTRACT FROM AUTHOR]

This paper describes a design-based research study in which an online platform for teachers was designed and implemented over 3 years. The study uses a networked learning approach to support teachers in the transition from university into service. It addresses the question of how online communities of teachers can support the development of situational knowledge. The paper describes the potential and the challenges of designing and implementing learning networks for teachers. A major challenge identified is the need for design that supports trust and stability within large networks. Significant potential is identified through the reuse of knowledge and greater collegiality within the profession. The platform, TeachConnect, was developed as a collaboration between academics at eight Australian universities, to create a platform to support teachers across the boundary from preservice into the profession. The study presents results from design and implementation, and includes site usage statistics and coding of types of support present within the platform. The paper contributes design principles for online communities of teachers and raises theoretical questions about future online communities.

This paper presents evidence from a nationally representative sample of early career teachers about those likely to miss out on formal support, and the employment conditions associated with this absence of support. It uses survey data from the Staff in Australia's Schools Survey. Consistent with existing research, our results suggest a relationship between early career teachers with insecure employment and a lack of support. The findings suggest that, for early career teachers, being unsupported is associated with dissatisfaction with professional relationships and career opportunities; and that this dissatisfaction is associated with an intention to leave the profession.

In this paper, we propose a framework for the design of massive open online courses (MOOCs) based upon the principles of self-determination theory, which posits a relationship between intrinsic motivation and the basic psychological need for autonomy, competence, and relatedness. We also report the results of design-based research that evaluates the application of the framework to a MOOC titled "Elite Sport Performance: Psychological Perspectives". Satisfying basic psychological needs is theorised as central to course design in order to foster intrinsic motivation, optimise engagement, and improve the retention of course participants. We chronicle the design, implementation, and evaluation of the course, providing examples of support features and learning activities. The course was offered over a period of four months, receiving more than 1000 registrations from across the world. Engagement measures, completion indices, and intrinsic motivation scores are reported as well as sample testimonies from learners. Results offer preliminary evidence that a design framework incorporating selfdetermination theory has utility in the development of MOOCs that successfully engage learners.

This paper describes the support that Australian early career teachers are accessing through private groups within social media. It presents findings from 22 interviews with teachers who indicated that Facebook was a source of support. Participants describe using private online groups for: (a) support during casual employment; (b) accessing collegial support from pre-existing connections, in particular those formed during initial teacher education; and (c) support to deal with challenging situations such as a hostile work environment. The paper suggests that further research needs to be conducted into how private media groups might support the needs of early career teachers.

Social network sites are being widely used by teachers, and this phenomenon has been studied extensively. Yet the knowledge base supporting policy and practitioner decisions around the implementation and facilitation of these sites remains underdeveloped. This paper suggests that one reason for this lies in a mismatch between the methods that are being used in studies of teachers in social network sites and the claims that are being made. It looks towards stronger claims within this domain of research by presenting an integrative review of empirical studies (N = 96) which investigate teachers in social network sites, with a focus upon the methods that they employ. An integrative review is conducted to find studies that look at early childhood, primary, and secondary teachers' use of Facebook, Twitter, and other social network sites. The paper analyses the sample sizes, data sources, and forms of analysis that are used in these studies and discusses their suitability to the claims that are being made. It characterises the methods used in the included studies and makes five methodological recommendations regarding: (1) data about groups to be included when reporting studies and consistency of terminology; (2) frameworks for analysis; (3) re-use of research instruments and coding schemes; (4) approaches to sampling to avoid self-selection and bias; and (5) framing of claims to be more precise in nature. It suggests steps that might be taken to move towards stronger claims within this domain through convergent validity.

Purpose: This paper presents economic and pedagogical motivations for adopting information and communications technology (ICT)- mediated learning networks in agricultural education and extension. It proposes a framework for networked learning in agricultural extension and contributes a theoretical and case-based rationale for adopting the networked learning paradigm. Design/methodology/approach: A review of the literature highlights the economic and pedagogical need for adopting a networked learning approach. Two examples are described to instantiate the language for learning networks: a small community of farmers in India and large Twitter community of Australian farmers. Findings: This paper reviews evidence that successful networked learning interventions are already occurring within agricultural extension. It provides a framework for describing these interventions and for helping future designers of learning networks in agricultural extension. Practical implication: Facilitation of learning networks can serve to achieve efficient agricultural extension that connects farmers across distances for constructivist learning. To realize these benefits, designers of learning networks need to consider set design, social design and epistemic design. Theoretical implication: This paper contributes a theoretical framework for designing, implementing and analysing learning networks in agriculture. It does this by integrating existing ideas from networked learning and applying them to the agricultural context through examples. Originality/value: This paper contributes an understanding of the value of networked learning for extension in terms of economic and pedagogical benefits. It provides a language for talking about learning networks that is useful for future researchers and for practitioners.

This paper explores the possibility that virtual communities of teachers with large numbers of members (referred to as "massive communities of teachers") can offer support to novice teachers by means of collaborative reflection. The paper examines and conceptualises some problems found in professional massive communities and proposes that massification can dilute what some authors have called "social presence" or "engagement." It is argued that this dilution, among other problems, very much hinders collaborative reflection among members of the community. Collaborative reflection is argued to be a crucial part of the support that novice teachers need in their first years in the profession. Therefore, a challenge is envisioned for massive communities of teachers to avoid the dilution of social presence or engagement. The authors argue that this dilution can be overcome by the use of multiple layers within a platform, referred to as "fractal design."

Purpose: The purpose of this paper is to demonstrate the utility of combining event-centred and variable-centred approaches when analysing big data for higher education institutions. It uses a large, university-wide data set to demonstrate the methodology for this analysis by using the case study method. It presents empirical findings about relationships between student behaviours in a learning management system (LMS) and the learning outcomes of students, and further explores these findings using process modelling techniques. Design/methodology/approach: The paper describes a two-year study in a Chilean university, using big data from a LMS and from the central university database of student results and demographics. Descriptive statistics of LMS use in different years presents an overall picture of student use of the system. Process mining is described as an event-centred approach to give a deeper level of understanding of these findings. Findings: The study found evidence to support the idea that instructors do not strongly influence student use of an LMS. It replicates existing studies to show that higher-performing students use an LMS differently from the lower-performing students. It shows the value of combining variable- and event-centred approaches to learning analytics. Research limitations/implications: The study is limited by its institutional context, its two-year time frame and by its exploratory mode of investigation to create a case study. Practical implications: The paper is useful for institutions in developing a methodology for using big data from a LMS to make use of event-centred approaches. Originality/value: The paper is valuable in replicating and extending recent studies using event-centred approaches to analysis of learning data. The study here is on a larger scale than the existing studies (using a university-wide data set), in a novel context (Latin America), that provides a clear description for how and why the methodology should inform institutional approaches.