For decades, research on metacomprehension has demonstrated that many learners struggle to accurately discriminate their comprehension of texts. However, while reviews of experimental studies on relative metacomprehension accuracy have found average intra-individual correlations between predictions and performance of around.27 for adult readers, in some contexts even lower near-zero accuracy levels have been reported. One possible explanation for those strikingly low levels of accuracy is the high conceptual overlap between topics of the texts. To test this hypothesis, in the present work participants were randomly assigned to read one of two text sets that differed in their degree of conceptual overlap. Participants judged their understanding and completed an inference test for each topic. Across two studies, mean relative accuracy was found to match typical baseline levels for the low-overlap text sets and was significantly lower for the high-overlap text sets. Results suggest text similarity is an important factor impacting comprehension monitoring accuracy that may have contributed to the variable and sometimes inconsistent results reported in the metacomprehension literature. © The Psychonomic Society, Inc. 2023.

As psychological research embraces more naturalistic questions and large-scale analytic methods, drawing has emerged as an exciting tool for studying cognition. Drawing provides rich information about how we view the world, ranging from largely veridical perceptual representations to abstracted meta-cognitive representations. Drawing also requires the integration of multiple processes (e.g., vision, memory, motor learning), and experience with drawing can have an impact on such processes. As a result, drawing presents several interesting cognitive questions, while also providing a way to gain insight into a multitude of others. This Special Issue features 25 cutting-edge studies utilizing drawing to reveal discoveries transversing fields in psychology. These diverse studies investigate drawing across children, young adults, older adults, and special populations such as individuals with blindness, anterograde amnesia, apraxia, and semantic dementia. These studies detail new discoveries about the mechanisms underlying memory, attention, mathematical reasoning, and other cognitive processes. They employ a range of methods including psychophysical experiments, deep learning, and neuroimaging. Finally, many of these studies cover topics about the impact of drawing as a process on other cognitive processes, including how drawing expertise impacts other processes like visual memory or spatial abilities. Overall, this collection of studies paves the way for an exciting future of drawing as a commonplace tool used by psychologists to understand complex phenomena.

The construction industry is rapidly changing due to the greater adoption of innovations and technology. This has necessitated changes in the competencies that the industry demands from new graduates. For academia to meet the changing needs of the industry, the inputs of practitioners are needed to complement academic pedagogical efforts. This study leverages the potential of Web 2.0 to develop a web platform called ConPEC to facilitate instructor-practitioner collaborations for enhancing student learning. ConPEC is aimed at providing instructors with equitable access to practitioners, increasing the participation of practitioners in instructors' pedagogical efforts, and enabling greater interaction of students with their communities of practice (CoP). These could facilitate achieving a proper blend of theory and practice in construction engineering education as well as ensure that students possess the competencies that the industry demands. This study demonstrates the efficacy of design principles in designing information systems. This study also demonstrates the usage of the Technology Acceptance Model (TAM) to explain and understand practitioners' acceptance of ConPEC. The findings reveal that practitioners perceived ConPEC to be useful, easy to use, and user-friendly. Practitioners' behavioral intention-to-use ConPEC is significantly influenced by attitude toward usage, perceived ease of use, and trust. Trust also significantly influenced perceived ease of use. However, perceived usefulness has no direct significant influence on practitioners' behavioral intention-to-use ConPEC. The study uncovers practitioners' acceptance behavior toward ConPEC which could be leveraged for further system development. The study also provides a framework that can be leveraged in diverse domains to develop similar initiatives aimed at addressing skill gaps in fresh graduates.

In landscape planning and design, geospatial technologies (GSTs) are used to aid in visualizing and interpreting geographic environments, identifying geospatial patterns, and making decisions around information based on maps and geospatial information. GSTs are related to the different tools and technologies used to represent the earth's surface and have transformed the practice of landscape design and geospatial education. These technologies play an important role in promoting the development and application of STEM-relevant geospatial thinking. Curricula that incorporate GSTs have been used across educational levels, from elementary school through college, and have been shown to support the development of geospatial learning and understanding. The present work discusses the use of one type of GST, virtual globes, as a tool for developing geospatial thinking, with a specific focus on Google Earth. This review highlights outcomes of several studies using Google Earth in the context of disciplines related to landscape design, such as geography and earth science. Furthermore, the potential mechanisms underlying the effectiveness of this technology for supporting the development of geospatial knowledge, such as its role in facilitating data visualization and supporting student's ability to think flexibly about spatial patterns and relations, are discussed. Finally, the limitations of the current research on Google Earth as a tool for supporting geospatial learning are discussed, and suggestions for future research are provided.

Standard learning assessments like multiple-choice questions measure what students know but not how their knowledge is organized. Recent advances in cognitive network science provide quantitative tools for modeling the structure of semantic memory, revealing key learning mechanisms. In two studies, we examined the semantic memory networks of undergraduate students enrolled in an introductory psychology course. In Study 1, we administered a cumulative multiple-choice test of psychology knowledge, the Intro Psych Test, at the end of the course. To estimate semantic memory networks, we administered two verbal fluency tasks: domain-specific fluency (naming psychology concepts) and domain-general fluency (naming animals). Based on their performance on the Intro Psych Test, we categorized students into a high-knowledge or low-knowledge group, and compared their semantic memory networks. Study 1 (N = 213) found that the high-knowledge group had semantic memory networks that were more clustered, with shorter distances between concepts-across both the domain-specific (psychology) and domain-general (animal) categories-compared to the low-knowledge group. In Study 2 (N = 145), we replicated and extended these findings in a longitudinal study, collecting data near the start and end of the semester. In addition to replicating Study 1, we found the semantic memory networks of high-knowledge students became more interconnected over time, across both domain-general and domain-specific categories. These findings suggest that successful learners show a distinct semantic memory organization-characterized by high connectivity and short path distances between concepts-highlighting the utility of cognitive network science for studying variation in student learning.

Women reliably perform worse than men on measures of spatial ability, particularly those involving mental rotation. At the same time, females also report higher levels of spatial anxiety than males. What remains unclear, however, is whether and in what ways gender differences in these cognitive and affective aspects of spatial processing may be interrelated. Here, we tested for robust gender differences across six different datasets in spatial ability and spatial anxiety (N = 1257, 830 females). Further, we tested for bidirectional mediation effects. We identified indirect relations between gender and spatial skills through spatial anxiety, as well as between gender and spatial anxiety through spatial skills. In the gender → spatial anxiety → spatial ability direction, spatial anxiety explained an average of 22.4% of gender differences in spatial ability. In the gender → spatial ability → spatial anxiety direction, spatial ability explained an average of 25.9% of gender differences in spatial anxiety. Broadly, these results support a strong relation between cognitive and affective factors when explaining gender differences in the spatial domain. However, the nature of this relation may be more complex than has been assumed in previous literature. On a practical level, the results of this study caution the development of interventions to address gender differences in spatial processing which focus primarily on either spatial anxiety or spatial ability until such further research can be conducted. Our results also speak to the need for future longitudinal work to determine the precise mechanisms linking cognitive and affective factors in spatial processing.

One of the most important developmental relationships in the doctoral student experience is that of the faculty advisor, and yet we know little about whether and how advisor relationships vary between first-generation and continuing-generation doctoral students. Drawing on qualitative interviews with 83 late-stage doctoral students in biological sciences, we explore differences in student perceptions of their relationships with advisors. Narratives reveal a continuum of relationship types, including strained, evolving, supportive, and equal. In equal relationships, doctoral students feel more like collegial partners working alongside their advisors. While continuing-generation and first-generation students are similarly represented among strained and evolving relationships, first-generation students rarely attain equal relationship status. The presented findings offer implications for understanding how inequality shapes student–advisor relationships, the role of collegiality in doctoral education’s hidden curriculum, and the supports needed to foster equity for first-generation students in graduate programs. © 2024 by the authors.

Prior work has shown that many undergraduate students have misconceptions about genetic inheritance, even after they take genetics courses. Visual representations, such as pedigree diagrams, are commonly used in genetics instruction, and they help students quickly visualize the phenotypes of multiple generations. In Study 1, we examined whether presenting a pedigree diagram of a wolf’s eye color in a rich and realistic manner (i.e., with rich perceptual images that resemble real animals) or in an abstract manner (i.e., with circles and squares representing animals) would help undergraduates learn from a brief, online lesson on inheritance of the wolf’s eye color, and whether they would transfer what they learned when reasoning about eye color in other species (near transfer) and other traits in other species (mid- and far transfer). Counter to our hypothesis, students transferred more with the rich diagram. In Study 2, we compared the rich diagram from Study 1 to a perceptually bland diagram (i.e., with color and textural features removed). There were no differences in students’ learning or transfer between the diagrams. These results suggest that realistic elements that are attention grabbing and easily interpretable by students can be beneficial for transfer in online lessons. © 2024 by the authors.

This study examines relationships between geography achievement and the psychological characteristics of geography learners in eighth grade. Using data provided by the National Assessment of Educational Progress (NAEP), the researchers developed a statistical model of geography achievement comprising student and teacher/school-level predictor variables. The model included five predictor variables based on composite measures of student affective disposition. Hierarchical linear modeling accounted for data clustering. Controlling for the full set of predictors, geography achievement was positively associated with students’ self-reported enjoyment of complex problems, academic self-discipline, and interest in and enjoyment of geography, whereas lower levels of geography achievement were associated with students’ self-reported level of persistence in learning. Race, gender, disability, minority language status, and instructional exposure were predictive of affective differences between groups of geography learners. The results of the study underscore the need to consider student attitudes in efforts to close achievement gaps and encourage the future geography intentions of students in U.S. geography education. © 2023 by the authors.

This study explores the experiences of three Networked Improvement Communities (NICs) within mathematics departments as they work to critically transform their introductory mathematics programs. Drawing on the framework of dominant and critical axes of equity, we identify three key tensions experienced by the NICs: identity neutrality versus identity centrality, power over versus power with, and students as novices versus students as experts. These tensions are framed as productive enactments of working to change systems from within, highlighting the challenges and opportunities inherent in navigating the liminal space of nepantla. We argue that engaging with these tensions is crucial for fostering critical transformations and offer recommendations for leveraging the roles of identity, power, and student partnership to promote more equitable and inclusive mathematics education environments.