Performance on standardized academic aptitude tests (AAT) can determine important life outcomes. However, it is not clear whether and which aspects of the content of test questions affect performance. We examined the effect of psychological distance embedded in test questions. In Study 1 (N = 41,209), we classified the content of existing AAT…

When correlation between variables is not explicit, data can be collected by adapting the quantitative measurement tools in use for quantitative measurement of possibility, a nonlinear measurement. This adaptation is possible because measurement data can be evaluated more qualitatively using parameters for possibility. These can be defined as…

Community-based participatory research (CBPR) partnerships exist as complex, dynamic relationships that incorporate shared decision that supports trust development between communities and academics. Within CBPR, the interest in understanding the concept of trust has grown with the realization that, without trust, CBPR relationships fracture. A…

In this article, the notion of potential as discussed within creativity research is examined. It is noted that there are multiple, sometimes competing, understandings of potential within the literature with the biggest gaps existing between individual perspectives, on the one hand, and sociocultural perspectives on the other. Affirming that a…

Despite undeniable advances in research on language learning strategies in the last several decades, empirical investigations of actions and thoughts that learners engage in to better understand and use grammar structures in different contexts, or grammar learning strategies (GLS), remain scarce. Moreover, there is a paucity of studies examining…

This study proposes a classification method for multiple text reading test formats in English language proficiency tests. A preliminary study involving 11 proficiency tests revealed two tests that fit the scope of the main study. Results show that multiple text reading test formats use complementary texts rather than conflicting texts. As for…

Demand for cybersecurity professionals from industry and institutions is high, driven by an increasing digitization of society and the growing range of potential targets for cyber attacks. However, despite this pressing need a significant shortfall in the number of cybersecurity experts remains and a discrepancy has emerged between the skills…

Statistics teaching at the high school level needs modernizing to include digital sources of data that students interact with every day. Algorithmic modeling approaches are recommended, as they can support the teaching of data science and computational thinking. Research is needed about the design of tasks that support high school statistics…

Students' postsecondary course-taking is of interest to researchers, yet has been difficult to study at large scale because administrative transcript data are rarely standardized across institutions or state systems. This paper uses machine learning and natural language processing to standardize college transcripts at scale. We demonstrate the…

More and more teachers create video explanations for their instruction. Whether or not they are effective for learning depends on the videos' instructional quality. Reliable measures to assess the quality of video explanations, however, are still rare, especially for videos created by (preservice) teachers. We developed such a measure in a…

Even though past research suggests that visual learning may benefit from conceptual knowledge, current interventions for medical image evaluation often focus on procedural knowledge, mainly by teaching classification algorithms. We compared the efficacy of pure procedural knowledge (three-point checklist for evaluating skin lesions) versus…

Third language (L3) lexical acquisition is still underexplored. In this article I overview theoretical and empirical evidence on L3 lexical acquisition and the role of cross-linguistic influence (CLI) in learning L3 words. I explain the mechanism of CLI as resulting from language co-activation in the multilingual learner's/user's mind.…

Predicting and improving the academic achievement of university students is a multifactorial problem. Considering the low success rates and high dropout rates, particularly in open education programs characterized by mass enrollment, academic success is an important research area with its causes and consequences. This study aimed to solve a…

We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…

In recent decades, history and education scholars in the Western world have argued for a constructivist approach to disciplinary thinking in the teaching and learning of History, known as "historical thinking". Yet, there has been little classroom-based empirical research exploring how teachers engage with historical thinking theory,…