Purpose: This study aims to address the complexities of fixed and growth mindsets within educational settings and critique traditional assessment methods and interventions used in mindset research. It aims to develop a comprehensive approach -- encompassing methodology, conception and practice -- that incorporates mindsets within a broader growth…

This paper offers guidance on employing open and creative methods for co- designing critical data and artificial intelligence (AI) literacy spaces and learning activities, rooted in the principles of Data Justice. Through innovative approaches, we aim to enhance participation in learning, research and policymaking, fostering a comprehensive…

Early detection of autism spectrum condition is crucial for children to maximally benefit from early intervention. The study examined a machine learning model predicting the increased likelihood for autism from wellness records from 0 to 24 months. The study included 591,989 non-autistic and 12,846 autistic children. A gradient boosting model with…

Visual meaning-making allows for multicultural understanding. This study examines how visual research using digital visual platforms, especially AI image generation, enhances multicultural meaning-making. The case study is a course on 'Visual Text: Culture, Arts, and Education' in a teacher art education programme in Israel, attended by students…

Purpose: We studied the role of gender in metacognition of voice emotion recognition ability (ERA), reflected by self-rated confidence (SRC). To this end, we guided our study in two approaches: first, by examining the role of gender in voice ERA and SRC independently and second, by looking for gender effects on the ERA association with SRC.…

Existent research on intercultural exposure and cultural intelligence has been largely conducted in management and management education, the latter with business student subjects. Aiming to attain a more holistic view in this regard, we attend to a civic-related outcome, namely, the emergence of (cosmopolitan-based) global citizenship attitudes,…

This article critically examines Artificial Intelligence in Education (AIED) within English as a Second Language (ESL) contexts, arguing that current practices often deepen systemic inequality. Drawing on Iris Marion Young's "Five Faces of Oppression," we analyze the implementation of AIED in oppressed schools, illustrating how students…

Purpose: This study aims to explore the perception of students from conflicted groups studying nursing together regarding the intergroup encounter. Specifically, this study focused on Jewish and Arab students in a nursing undergraduate program at an Israeli college. This study focused on the association between two factors [students' cultural…

The study tested daily mutual emotion recognition in 153 parent-adolescent triads, adolescents' mean age, 15.71 years (SD = 1.53), 51% girls. Over seven consecutive days, adolescents and parents provided self and other reports on daily positive mood, daily negative mood (distress, anger), and daily time spent together. A series of analyses of…

Scholars of Social and Emotional Learning (SEL) advocate discussion as a promising instructional method yet rarely specify how such discussions should be conducted. Facilitating classroom discussions is highly challenging, particularly about emotions. Furthermore, the SEL literature contains contradictory discursive imperatives; it typically…

This study examines the contribution that generative AI (ChatGPT) can make to the TPACK (Technological Pedagogical Content Knowledge) of mathematics teacher educators (MTEs) when addressing pedagogical and mathematical events. The study involved 15 experienced MTEs who were tasked with planning training sessions for elementary school teachers. The…

The current study examined a unique uninational intervention program, conducted separately for Jewish and Arab adolescents, with the aim of cultivating emotional intelligence skills and empathy. 287 adolescents aged 16-17 (115 Jews and 172 Arabs) participated in the program and the study to assess its initial effects. All participants completed…

This paper discusses the evolution of assessment for learning (AfL) across the globe with particular attention given to Western educational jurisdictions. Scholars from Australia, Canada, Ireland, Israel, New Zealand, Norway, and the United States discuss prominent assessment reforms within their respective countries over the last decade.…

This paper highlights the new enhancements of the Halomda platform designed to improve students' learning and exam preparation. The new features include a Graph Plotter, Algebraic Calculator and Context ChatGPT Recommended Key Guidelines. The use of these features is demonstrated though a working example of solving a double integral, illustrating…

Relative clauses (RCs) are complex syntactic structures because they consist of multiple clauses and involve syntactic movement. RCs are known as a reliable clinical marker of syntactic impairment across many different languages and populations. Children with autism spectrum disorders (ASD) struggle with the comprehension and production of RCs,…