Though individual categorization or decision processes have been studied separately in many previous investigations, few studies have investigated how they interact by using a two-stage task of first categorizing and then deciding. To address this issue, we investigated a categorization-decision task in two experiments. In both, participants were…

The adoption of service and community-based learning can be a challenge across college campuses. Some units or departments might embrace the approach, while others believe it cannot be done in their discipline. Despite being shown to offer benefits for learning and retention, recruiting faculty participation in service and community-based learning…

The literature asserts that science, technology, engineering, and mathematics (STEM) education needs to be authentic. Although models and modelling provide a basis from which to increase authenticity by bridging the STEM disciplines, the idea of authentic STEM education remains challenging to define. In response, the aim of this study is to…

Since the advent of massive open online courses (MOOC), it has been the focus of educators and learners around the world, however the high dropout rate of MOOC has had a serious negative impact on its popularity and promotion. How to effectively predict students' dropout status in MOOC for early intervention has become a hot topic in MOOC…

The interest in entrepreneurship is growing, due to its relationship with competitiveness, growth, employment, and innovation. In fact, there are numerous studies trying to identify factors influencing entrepreneurial intentions among university students, especially among young people, and in those countries with declining growth rates. Using the…

Cybersecurity job roles and responsibilities constantly evolve due to technological advancements, complex infrastructure, and increasing cybersecurity threats and regulations. As a result, organizations require a highly skilled and experienced cybersecurity workforce in both the public and private sectors. Many colleges and universities offer…

There is a lot of interest in providing detailed reports to schools indicating which skills pupils have mastered and which still need development -- and, more broadly, the knowledge, skills and understanding that pupils have acquired and not yet acquired. Cognitive diagnostic assessment is an approach designed to provide this kind of insight.…

A major question for the study of learning and memory is how to tailor learning experiences to promote knowledge that generalizes to new situations. In two experiments, we used category learning as a representative domain to test two factors thought to influence the acquisition of conceptual knowledge: the number of training examples (set size)…

Purpose: Nowadays, the breakout of the COVID-19 pandemic has caused an important change in teaching models. The emotional experience of this change has an important impact on online teaching. This paper aims to explore its time evolution characteristics and provide reference for the development of online teaching in the post epidemic era.…

This paper explores the role of exemplarity in education through a conceptualisation of two different dimensions of exemplarity in educational practice. (1) Pedagogical exemplarity, which relates to the pedagogical and ethical dimension of educational practice. In other words, this dimension explores the educational moments when…

Purpose: This study aims to develop a process model that details the mechanisms and learning processes by which entrepreneurial learning transpires at multiple levels in the organization. Using the transactive memory system (TMS) framework as a reference, the model specifies how individual streams of knowledge are routinized in nonhuman elements…

The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naive learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension…

Metamodeling ideas move beyond using a model to solve a problem to consider the nature and purpose of a model, such as reasoning about a model's empirical basis and understanding why and how a model might change or be replaced. Given that chemistry relies heavily on the use of models to describe particulate-level phenomena, developing…

This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…

Amidst the significant optimism for blended learning and flipped classrooms, there is a need for a model to guide the systematic design of flipped instruction. An effective flipped model could potentially improve learning outcomes and provide guidelines for designing future blended instruction. This paper presents a model for designing flipped…