In the current study, eight college students were exposed to a successive matching-to-sample (S-MTS) procedure utilizing non-verbal auditory stimuli consisting of common sounds. During emergent relations tests, participants were asked to talk aloud, and their vocal-verbal statements were transcribed and categorized as class-consistent,…

Although humans often multitask, little is known about how the processing of concurrent tasks is managed. The present study investigated whether adjustments in parallel processing during multitasking are local (task-specific) or global (task-unspecific). In three experiments, participants performed one of three tasks: a primary task or, if this…

"Motor fluency" refers to the ease with which an action can be performed and several studies have shown how it can modulate various cognitive processes, such as memory and decision making. To investigate these implications of motor fluency, typing-based paradigms have been proven to be useful. In this literature, based on pioneering…

Irrelevant but salient (automatically processed) variables of a given science or mathematics task are known to cause intuitive interference with formal reasoning, leading to incorrect responses. To help students overcome intuitive interference, one approach focuses on a warning intervention which aims at activating executive control mechanisms,…

This mixed-methods case study investigates learner engagement during pair work, focusing on four key aspects--behavioral, cognitive, emotional, and social engagement--and how these relate to task performance. The study included 60 university students (34 females, 26 males) learning English as a second language, who collaborated in pairs on a…

In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule, whereas in information-integration (II) tasks, the optimal strategy is impossible to describe verbally. This study investigates the effects of two different category properties on learning difficulty in category learning tasks--namely, linear separability…

Information problem solving (IPS) is an important twenty-first century skill, but it is lacking at all age levels. One type of information problem, those of an ill-structured nature that require multiple iterations of (re)defining problems and formulating emerging solutions, can be particularly challenging but have received less attention in the…

The challenge posed by algebra story problems creates a significant hurdle for many students, transcending both the mathematical content of the problem and the specific instructional background received. This study offers a distinctive contribution to the existing literature by focusing on the cognitive conditions essential for comprehension in…

Casadevante et al. (Curr Psychol 42: 4272-4285, 2023) used an objective test and found that regulation of response speed was related to better performance in a category learning task. The present study aims at analysing whether the relation between regulation of response speed and learning exists in an associative learning task. We developed ad…

This study explores whether AI-generated adaptive feedback or static feedback is favourable for student interest and performance outcomes in learning statistics in a digital learning environment. Previous studies have favoured adaptive feedback over static feedback for skill acquisition, however, without investigating the outcome of students'…

Although models of word meanings based on distributional semantics have proved effective in predicting human judgments of similarity among individual concepts, it is less clear whether or how such models might be extended to account for judgments of similarity among relations between concepts. Here we combine an individual-differences approach…

The assessment of student understanding, and of student reasoning skills more broadly, hinges upon the ability to elicit and interpret student-generated explanations. In practice, however, the explanations that students provide in response to traditional prompts do not always reveal as much about student reasoning as teachers and researchers in…

In a study of 370 postsecondary students in electronics, engineering, and other science classes, we investigated collaborative problem-solving (CPS) skills that best predict performance at individual levels in an online electronics environment. The results showed that while monitoring was a consistent predictor across levels, other skills such as…

Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…

Little research has examined specific instructional variables that influence the development and effectiveness of task-analysis instruction. We conducted two experiments using text-based task analyses to teach college students to create single-subject reversal design graphs. In Experiment 1, we tested the effects of presenting antecedent and…