In this study, we used multivariate decoding methods to study processing differences between canonical (montring and count) and noncanonical finger numeral configurations (FNCs). While previous research investigated these processing differences using behavioral and event-related potentials (ERP) methods, conventional univariate ERP analyses focus…

With accelerating advances in artificial intelligence, it is clear that introducing K-12 students to AI is essential for preparation to interact with and potentially develop AI technologies. To succeed as the workers, creators, and innovators of the future, we argue students should encounter core concepts of AI as early as elementary school.…

Recommender systems in education aim to help students make good decisions about the direction of their learning. The design of such systems in conventional research has treated the decision making process of students as a black box and assumes the best recommendations to be those that accurately predict student choices. Such an approach overlooks…

This article reports the results of an empirical study designed to determine the degree to which college instructors of Spanish can distinguish between machine translation (MT) and non-MT writing samples produced by second language (L2) learners of Spanish in an intermediate-level writing course. We also investigated relationships between…

The aim of the research is to investigate the effect of intrapersonal intelligence profiles of students studying at Faculty of Sport Sciences on their metacognitive awareness levels. General screening and relational screening models were used. The research group consisted of 308 students studying at Afyon Kocatepe University Faculty of Sport…

This article investigates the usage of an AI bot app called RNMKRS PitchPerfector to teach the sales skills necessary to deliver a successful elevator pitch. In particular, we wanted to know if the use of this app could increase student self-efficacy toward this critical selling skill. To analyze if RNMKRS had a real impact on students' elevator…

Research has indicated that school aged (6-16 years) versions of cognitive assessment instruments have varying levels of linguistic demand, which could impact assessment results for placement purposes. However, a significant limitation to this research is the fact that it has not been replicated with cognitive assessment instruments used in…

Purpose: This study aims to identify the antecedents of learning from mistakes within the student group work setting. Specifically, this study provides empirical evidence of how team-member exchange (TMX) positively leads to learning from mistakes via person-focused interpersonal citizenship behaviours (ICBs) and of the boundary condition of…

Purpose: Dyslexia is characterized by its diverse causes and heterogeneous manifestations. Chinese children with dyslexia exhibit orthographic, phonological, and semantic deficits across character and radical levels when writing. However, whether character dictation can be used to distinguish children with dyslexia from their typically developing…

Purpose: This paper focusses on demonstrating the role of social media engagement and considering emotional intelligence (hereafter EI) as a critical concept to successful employment, mainly when individuals fail to reach the desired employment despite "meeting" the role requirements. Design/methodology/approach: The authors adopted a…

While technology advancement and scientific innovation have created new topics and fields of inquiry in STEM education, external content experts such as university scientists/researchers have been increasingly involved to enhance K-12 teachers' disciplinary understandings and professional development (PD). However, few studies have scrutinized…

The Dynamic and Interactive Mathematical Expressions (DIME) Map system automatically generates DIME maps, which are personalizable and manipulable concept maps that allow students to interact with the mathematical concepts contained in any portable document format (PDF) textbook or document. A teacher can automatically upload a PDF textbook…

Large language models, such as ChatGPT, have great potential to enhance learning and support teachers, but they must be used with care to tackle limitations and biases. This paper presents two easy-to-implement examples of how ChatGPT can be used in physics classrooms to foster critical thinking skills at the secondary school level. A pilot study…

Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

As a high-impact educational practice, service-learning has demonstrated success in positively influencing students' overall development, and much work has been done on investigating student learning outcomes from service-learning. A particular direction is to model students' learning outcomes in the context of their learning experience, i.e., the…