Organizational learning integrates core specialized tacit resources and knowledge to facilitate development of strategic interdisciplinary knowledge development, integration, management and innovation. To promote open innovation within a gig economy, we address three problems: first, to identify which knowledge management view may contribute more…

Intervention scientists have used program theory-driven evaluation to design, implement, and assess the success of intervention programs for decades. However, interventions often are designed without the input of the community for which they are intended. The lack of incorporation of community members' voices that participate in various…

This chapter invites higher education to reimagine accountability within a backdrop of budgeting and financing as it relates to Hispanic Serving Institutions (HSIs). The authors call for more transparency in their pursuit of Latinx-specific funding and the implementation of race-evasive spending. Examples of how institutions, students, and funders…

In teacher education, case-based learning with text-based cases is an efficient method to foster pre-service teachers' diagnostic competence. To adaptively utilize text-based cases, knowledge about effects of text characteristics and empathy on processing text-based diagnostic information is needed, but still scarce. Our study focuses on effects…

Online risks and harms, including cyber-bullying, trolling, revenge porn and digital harassment, are an everyday reality in many young people's lives. Educators are increasingly being called upon to address these concerns but are not adequately equipped to do so. In this article the case is made for a new educational model for cyber-flourishing.…

Two examples of mathematical modelling are explored. Firstly, optimising the distance travelled when jumping from a swing is discussed. The second concerns optimising the distance travelled by monkeys when swinging from branch to branch.

Even though agent-based modelling is seen as committing to a mechanistic, generative type of causation, the methodology allows for representing many other types of causal explanations. Agent-based models are capable of "integrating" diverse causal relationships into coherent causal mechanisms. They mirror the crucial, multi-level…

Creating and developing mathematical models to solve real-world problems is a complex task and students often have difficulties in tackling it successfully. The design and implementation of sequences that help students autonomously develop their ability to solve modelling tasks could be a useful scaffolding tool to foster modelling learning. In…

Information technology (IT) is used in numerous fields today, from health to education. This situation has brought about the need to train individuals toward using technological knowledge efficiently. IT education plays an important role in training individuals to become qualified in this field. Therefore, the IT curriculum should be designed to…

The systematic design and analysis of tasks which can be implemented in first-year university courses and point to advanced inner- and extra-mathematically rich issues and their rationales is an open problem in the didactics of mathematics in higher education. Potentials of such tasks can be seen with regard to learning processes in the first year…

The review followed the preferred reporting items for systematic review and meta-analysis (PRISMA) standard to search and report relevant articles on the use of SOLO model in mathematics. A systematic search was conducted in Education Source, ERIC, JSTOR, and PsycINFO databases and yielded 198 studies. After screening and appraisal, 62 papers (37…

This paper aims to describe the design and inspection of the quality of a digital learning platform to diagnose mathematical ability levels of seventh-grade students with regard to the topics of Measurement and Geometry. A total of 517 seventh-grade students from 23 schools in four regions, namely north, northeast, central, and south of Thailand…

The motivation, philosophy, and organization of a course on artificial intelligence in chemical engineering is presented. The purpose is to teach undergraduate and graduate students how to build AI-based models that incorporate a first principles-based understanding of our products, processes, and systems. This is achieved by combining…

The research presented here is based on the objective of analyzing whether there is a relationship among neurodidactics, educational inclusion and sustainability in a university context. The starting point was a non-experimental, descriptive, explanatory and correlational research, using an ad hoc Likert scale as a data collection instrument,…

This paper explores higher education faculty evaluation systems through the lens of Ernest Boyer's definition of scholarship and a 21st century teaching and learning model. Topics include: taxonomies of teaching and learning, the scholarship of teaching and learning, "unbundling" and the use of non-tenure professors, higher education…