Computer science and engineering: utilizing action research and lesson study

ABSTRACT

This article explores one group’s use of action research (AR) and lesson study in three US university-level computer science courses affecting 85 undergraduate computer science and engineering students. It offers an overview of three areas including AR, lesson study, and engineering soft skills. The research group identified a problem: undergraduate engineering student soft skill understanding. The group collaborated to enhance participant engagement with this problem by utilizing one lesson focused on soft skills over three research lesson iterations in three distinct university semesters (2017-2018). Field notes were the main data collection method. Observational field notes were recorded in the three research lesson iterations, and themes from the notes were identified. The group valued peer interactions, and the research lesson adaptations as well as pedagogical changes were based on evidence. Four themes were identified, and participant comments were considered as the lessons became more focused . The research group argues that AR and lesson study are separate and distinct ventures based on this yearlong experience, which is counter to some other literature presented. Implications are large for all stakeholders interested in AR, lesson study, soft skill utilization, conflict management, and participant learning impact. Possibilities for enhanced participant engagement exists with honed lesson pedagogy.     

Foundational issues in evolution education

There is a great need for effective evolution education. This paper reviews some of the evidence that demonstrates that need and analyzes some of the foundational semantic, epistemological, and philosophical issues involved. This analysis is used to provide a functional understanding of the distinction between science and non-science. Special emphasis is placed the scientific meaning of the terms theory, hypothesis, fact, proof, evidence, and truth, focusing on the difference between religious belief and acceptance of a scientific theory. Science is viewed as theologically neutral and as not mutually exclusive from religion. Finally, a number of practical recommendations to the classroom biology teacher are presented.     

Behavioural additionality of R&D subsidies: A learning perspective

The use of R&D grants as a policy instrument has been motivated by economic arguments of market failure. Neo-classical econometric studies have analysed the additionality of one Euro of subsidies on both the investments of companies in the R&D process and the output of that R&D process. More recently, behavioural additionality has been launched as a third form of additionality. In contrast to input and output additionality, behavioural additionality is related to changes in the processes that take place within the firm. In this paper, we analyse the determinants of the behavioural additionality of R&D grants. To explain the mechanism through which behavioural additionality is obtained, we use organizational learning theory as a guide to formulate our hypotheses. Hypotheses are tested using a telephone survey of 192 recipients of R&D grants provided by the IWT in Flanders in 2001–2004, matched to a sample of 84 firms that undertake innovation activities but which had never had a grant bid accepted. We find that congenital learning and interorganizational learning lead to increased behavioural additionality. However, these learning effects decrease with the number of subsidized projects that are undertaken by the company.     

The role of planning in outdoor adventure decision-making

ABSTRACT

This article explores the influential role of planning on recognition-primed decision-making. Considerable prior thinking occurs and there is a need to trace and account for the cognitive processes that precede and guide decisions in dynamic outdoor environments. Seven expert leaders from four countries were interviewed about memorable decisions made on outdoor journeys with an educational focus on land, sea and ice. Four stages of planning were identified: (1) long-term preparation; (2) formal leadership meetings; (3) day-by-day planning on route and (4) thinking immediately prior to the event. The stages sequentially capture the planning progression, illuminating the cognitive processes at each stage to culminate in option selection. In each decision situation, planned goals and actions were implemented through the creation and re-creation of micro-plans. As windows of opportunity presented themselves, the flexible execution of plans was a key feature. Planning provided the solid bedrock upon which decisions were made.     

Creating value in ecosystems: Crossing the chasm between knowledge and business ecosystems

Policy makers take initiatives to stimulate knowledge ecosystems in technology hotspots. It is implicitly assumed that these ecosystems will lead to value networks through which the participating companies can realize a competitive advantage. Value networks refer to business ecosystems where the value proposition is offered by a group of companies which are mutually complementary. The strategy literature suggests that business ecosystems lead to competitive advantages for each of the partners in the ecosystem. Based on a unique hand-collected database of 138 innovative start-ups in the region of Flanders, we analyze the knowledge and business ecosystem and the financial support network. We find that the knowledge ecosystem is well structured and concentrated around a number of central actors while the business ecosystem is almost non-existent at the local level. Further, we find that the financial support network is almost 100% publicly backed and fails to bridge the knowledge and business ecosystem. The implications for policy makers who tend to focus on the development of local ecosystems are discussed.