Participation in educational activities is an important prerequisite for academic success, yet often proves to be particularly challenging in digital settings. Therefore, this study set out to increase participation in an online proctored formative statistics exam by digital nudging. We exploited targeted nudges based on the Fogg Behaviour Model,…

When learning from text, it is important that learners not only comprehend the information but also accurately monitor and judge their comprehension, known as metacomprehension accuracy. We investigated the extent to which the achievement emotions high school students (N = 358) experienced during reading influenced their text comprehension,…

It is a prevailing theoretical claim that path integration is the primary means of developing global spatial representations. However, this claim is at odds with reported difficulty to develop global spatial representations of a multiscale environment using path integration. The current study tested a new hypothesis that locally similar but…

In this study, the effects of using cueing with a narrator in animations on science learning and cognitive load level of elementary students have been revealed. For this purpose, a quantitative research design is used in the study. 223 third grade students, 124 of them are girls and 99 of them are boys, have formed the sample. The results show…

In this research note I want to address some misunderstandings about the construct of redeployment and suggest that we need to fit these behavioural data from Yang, Chen and Xiao (YCX) into a broader context. I will suggest that these authors' work is not just about the failure of three models to predict equivalence classification. Equivalence…

Children learn words in a social environment, facilitated in part by social cues from caregivers, such as eye-gaze and gesture. A common assumption is that social cues convey either perceptual or social information, depending on the age of the child. In this review of research on word learning and social cues during early childhood, we propose…

Modern text-to-speech voices can convey social cues ideal for narrating multimedia learning materials. Amazon Alexa has a unique feature among modern text-to-speech vocalizers as she can infuse enthusiasm cues into her synthetic voice. In this first study examining modern text-to-speech voice enthusiasm effects in a multimedia learning…

Research suggests that sensorimotor difficulties in autism could be reduced by providing individuals with explicit contextual information. To test this, we examined autistic visuomotor control during a virtual racquetball task, in which participants hit normal and unexpectedly-bouncy balls using a handheld controller. The probability of facing…

This study employed the design-based research (DBR) methodology to explore how to design instructional prompts integrated into a computer-based cognitive tool, GeoGebra, for gifted mathematics education. This study was divided into two iterative research phases lasting for 3 semesters, in which differentiating the instructional prompts for gifted…

The present study examined the role of hedges in a referential communication task. Pairs of participants received an identical set of cards, each card displaying a geometric configuration (a "tangram"). One participant, the director, instructed their partner, the matcher, to reproduce a series of predetermined tangram sequences using…

People rely on the internet for easy access to information, setting up potential confusion about the boundaries between an individual's knowledge and the information they find online. Across four experiments, we replicated and extended past work showing that online searching inflates people's confidence in their knowledge. Participants who…

The importance of reflection during learning process is widely recognized. Drawing on the literature, this article presents a study where students were stimulated to reflect during experiential learning, in order to both re- and de- contextualize their knowledge. We describe how different levels of prompted reflection can be related to academic…

This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…

This paper describes the results of an archival desk-study that analyzed worksheets produced by four students using ChatGPT as a coach. ChatGPT is a Generative Pre-Trained Large Language model that can write comprehensively in various languages and styles. It was discovered that it could pass university level physics exams and perform at the level…

The ability to process plural marking of nouns is acquired early: at a very young age, children are able to understand if a noun represents one item or more than one. However, little is known about how the segmental characteristics of plural marking are used in this process. Using eye-tracking, we aim at understanding how five to twelve-year old…