How do task experiences support proximal and longer-term desires to reengage? Central to this question is the interplay between perceptions of task difficulty and the situational interest. This interplay is increasingly researched but not yet well understood. Micro-analytic, latent studies are important tools for replicating past findings and…

Prior learning assessment (PLA) uses testing or competency portfolios to assess and grant credit for college-level learning, thus offering personal and professional empowerment to adult learners. The purpose of this review was to systematically examine global academic literature related to PLA over a decade. An earlier review of U.S. literature…

How do teachers learn about what learners already know? How do learners aid teachers by providing them with information about their background knowledge and what they find confusing? We formalize this collaborative reasoning process using a hierarchical Bayesian model of pedagogy. We then evaluate this model in two online behavioral experiments (N…

Amidst increasing immigration, immigrant knowledge can encounter barriers to recognition in the host country. Immigrant professionals in particular often experience non-recognition of their international credentials and expertise. Using the SALSA methodology, this article presents an integrative review of the literature on the recognition of…

Little is known about the effect of pre-reading exposure on collocational learning. This study used eye-tracking and offline measures (form recall and recognition) to explore the effectiveness of pre-reading study and reading exposure on the processing and learning of novel collocations. Three learning conditions were evaluated: reading-only…

This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…

It is a truth universally acknowledged that pupils do not learn all that they are taught. They may learn something, they may even learn a lot, but it may not be a lot of what we think we have taught them or they may struggle to apply knowledge successfully. In this book, bestselling author Alex Quigley characterises how the long and winding road…

In this paper, I discuss the inspiration, development, and further refinement of the Knowledge Revision Components framework (KReC; Kendeou & O'Brien, 2014). In KReC, we theorize about the conditions that facilitate knowledge revision during reading, and thus successful learning in the presence of prior, often incorrect knowledge. I discuss…

Self-regulated learning depends on task difficulty and on learners' resources and cognitive load, as described by an inverted U-shaped relationship in Seufert's (2018) model: for easy tasks, resources are high and load is low, so there is no need to regulate, whereas for difficult tasks, load is too high and resources are too low to regulate. Only…

Bayesian methods have been said to solve small sample problems in frequentist methods by reflecting prior knowledge in the prior distribution. However, there are dangers in strongly reflecting prior knowledge or situations where much prior knowledge cannot be used. In order to address the issue, in this article, we considered to apply two Bayesian…

Background: In the United States, there is increased demand to expand the engineering workforce. Many military veterans have received technical training that can be leveraged in engineering. Their pursuit of engineering degrees has great potential to expand and diversify the engineering workforce. Purpose: This study examines the pathways of US…

Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to various machine learning and deep learning techniques. Despite their…

As a result of systemic barriers, undocumented immigrants are more likely to enroll in community colleges and to enter these institutions with higher prior academic achievement than their peers. I explore the potential spillover benefits of this hyperselection on other students using data from a large community college system and two…

Research on students' perceptions and understanding of technology has shown that students have a narrow view of technology: for example, technology is often manifested in students' descriptions as artefacts or objects. This study investigates the ways in which students' understanding of how technology is manifested expands during a series of…

With over 1 million international students enrolling in US colleges and universities every year and the continued expansion of available information, including the spread of mis- and dis-information, it is essential that students be information literate and know how to effectively search for, critically evaluate, and produce information.…