Students’ Research-Informed Socio-scientific Activism: Re/Visions for a Sustainable Future

In many educational contexts throughout the world, increasing focus has been placed on socio-scientific issues; that is, disagreements about potential personal, social and/or environmental problems associated with fields of science and technology. Some suggest (as do we) that many of these potential problems, such as those associated with climate change, are so serious that education needs to be oriented towards encouraging and enabling students to become citizen activists, ready and willing to take personal and social actions to reduce risks associated with the issues. Towards this outcome, teachers we studied encouraged and enabled students to direct open-ended primary (e.g., correlational studies), as well as secondary (e.g., internet searches), research as sources of motivation and direction for their activist projects. In this paper, we concluded, based on constant comparative analyses of qualitative data, that school students’ tendencies towards socio-political activism appeared to depend on myriad, possibly interacting, factors. We focused, though, on curriculum policy statements, school culture, teacher characteristics and student-generated research findings. Our conclusions may be useful to those promoting education for sustainability, generally, and, more specifically, to those encouraging activism on such issues informed by student-led research.     

Engineering design processes in seventh-grade classrooms: bridging the engineering education gap

This paper reports on some findings from the first year of a three-year longitudinal study, in which seventh- to ninth-graders were introduced to engineering education. Specifically, the paper addresses students’ responses to an initial design activity involving bridge construction, which was implemented at the end of seventh grade. This paper also addresses how students created their bridge designs and applied these in their bridge constructions; their reflections on their designs; their reflections on why the bridge failed to support increased weights during the testing process; and their suggestions on ways in which they would improve their bridge designs. The present findings include identification of six, increasingly sophisticated levels of illustrated bridge designs, with designs improving between the classroom and homework activities of two focus groups of students. Students’ responses to the classroom activity revealed a number of iterative design processes, where the problem goals, including constraints, served as monitoring factors for students’ generation of ideas, design thinking and construction of an effective bridge.     

Data modelling with first-grade students

This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling. Results are reported from the first year of a 3-year longitudinal study in which three classes of first-grade children (6-year-olds) and their teachers engaged in data modelling activities. The theme of Looking after our Environment, part of the children’s science curriculum, provided the task context. The goals for the two activities addressed here included engaging children in core components of data modelling, namely, selecting attributes, structuring and representing data, identifying variation in data, and making predictions from given data. Results include the various ways in which children represented and re-represented collected data, including attribute selection, and the metarepresentational competence they displayed in doing so. The “data lenses” through which the children dealt with informal inference (variation and prediction) are also reported.     

Transnational public sector knowledge networks: Knowledge and information sharing in a multi-dimensional context

Sharing of knowledge, information, and practices across cultural and national boundaries has become a means to address critical global problems. As government agencies increasingly collaborate with international counterparts on these issues, transnational knowledge and information sharing networks grow in importance as mechanisms for collaboration. This paper explores the nature of transnational public sector knowledge networks (TPSKNs) and identifies critical contextual factors that shape their performance. In these networks, each participating organization operates within complex national, organizational, and information contexts. The contextual differences between participants produce distances in culture, politics, intentions, organizational factors, relationships, knowledge, resources, geography, and technology. These distances influence their ability to engage in the processes and interactions that are essential to network performance. The paper concludes with a conceptual dynamic model that accounts for the relationships among these factors that can guide further research in understanding knowledge and information sharing across national and cultural boundaries.     

The role of cognitive engagement in classroom learning and motivation

The article analyzes the concept of student cognitive engagement, and the manner in which classroom instruction may develop self‐regulated learners. Since theory and research on academic motivation, to date only vaguely define the role of learning processes, and since studies of learning strategies rarely assess motivational outcomes, our analysis integrates these two streams of literature. We also identify specific features of instruction and discuss how they might influence the complex of student interpretive processes focal to classroom learning and motivation. Measurement issues and research strategies peculiar to the investigation of cognitive engagement are addressed.     

Enhancing Reflection with Audiovisual Playback and Trained Inquirer

Much of the literature on reflection treats the role of memory as unproblematic, overlooking the potential for forgetting and memory distortion to interfere with learning and personal development. This paper discusses the reliability of human memory under conditions that often apply when people are encouraged to learn by reflecting on experience, then describes a process which uses audiovisual playback and a trained inquirer to help reduce memory distortion. Applications of the process to some often‐cited models of reflection are discussed along with some practical implementation issues. It is argued that the process increases the reliability of memory and allows a fullness of time to explore events and their effects in depth and detail. It appears particularly suited to exploring ambiguous interpersonal interactions and to the development of intrapersonal insight.     

Deciding How to Deceive: Differences in Communication and Detection Between Good and Bad Liars

To study deception, participants were randomly assigned the role of allocator or recipient in an ultimatum negotiation game. Allocators “earned” 7 dollars and divided the money between themselves and recipient and communicated the decision either face-to-face or through text chat. Recipients were unaware the amount the allocator had, and therefore, allocators could deceive. Most allocators used deception. We hypothesized that participants who self-identified as good liars would communicate more face-to-face than through text chat when deceiving, and this was supported for deceptive omission but not fabrications. Good liars were more likely to have their truths correctly detected than bad liars.