To increase possibilities for listening respectfully to Indigenous educators, there is a need to identify conversational prompts which are used to raise alternative views of social justice about mathematics education for Indigenous students. Using Nancy Fraser's description of abnormal social justice, an analysis was made of transcripts from round…

Automated Essay Scoring (AES) using neural networks has helped increase the accuracy and efficiency of scoring students' written tasks. Generally, the improved accuracy of neural network approaches has been attributed to the use of modern word embedding techniques. However, which word embedding techniques produce higher accuracy in AES systems…

Three decades of concentrated research on the topic of cheating in college has shown that there is no magic bullet to stopping or reducing cheating. The goal of this study was to exam the potential of nudges other than integrity pledges to incentivize, encourage, or entice students to be honest, even when it is easy and advantageous to be…

During teacher preparation programmes, pre-service teachers need to reflect meaningfully on their classroom experiences. However, some pre-service teachers tend to provide narrative accounts of classroom events and interactions. Mentors and assessors urge them to "probe more deeply" but give little guidance about what this entails. This…

Despite its importance for students' learning, engaging students in dialogic discussions, especially about controversial, justice-oriented topics, can be difficult for U.S. teachers to enact due to current political constraints. In this study, we explore how three middle school teachers engaged their students in curriculum-embedded discussions on…

We used a single case concurrent multiple probe across participants design to evaluate the effects of a multi-component intervention package on the number of correct sentences used when writing about a story for three rural elementary students with intellectual or developmental disabilities and extensive support needs. The package was comprised of…

Classroom dialogue is crucial for effective teaching and learning, prompting many professional development (PD) programs to focus on dialogic pedagogy. Traditionally, these programs rely on manual analysis of classroom practices, which limits timely feedback to teachers. To address this, artificial intelligence (AI) has been employed for rapid…

This study examined the teacher-child interactions during shared book reading (SBR) in the domain of early mathematics. We investigated preschool teachers' and children's talk in terms of (1) communicative acts, mathematical focus, and level of abstraction (literal versus inferential), (2) the sequential relation between teacher's talk and…

Design problems are often ill-structured as the requirements are broadly defined and have multiple correct solutions. Experts solve such problems by applying various cognitive and metacognitive skills before the formal specifications and solution designs are documented. Novices often need help solving ill-structured design problems as they lack…

Purpose: This study aims to investigate the learning potential of French-speaking children, either with typical development (TD) or with developmental language disorder (DLD), when learning an invented inflectional morphological rule. We tested the children's performance in learning pseudomorphemes of gender and number with dynamic assessment…

Generative Artificial Intelligence (GenAI) is catalyzing a paradigm shift in higher education, demanding new pedagogical approaches that integrate AI literacy as a core competency. This paper addresses the long-standing challenge of teaching acoustics, a field often perceived as abstract and mathematically intensive by undergraduate students. We…

Purpose: The purpose of this study is to investigate the accuracy and creativeness of ChatGPT in the domain of quantitative aptitude. Design/methodology/approach: ChatGPT 3.5 is used to generate multiple-choice quantitative aptitude questions. A total of 1,100 questions were created across 11 different areas of quantitative aptitude. A dataset is…

Recent studies on text sequencing found learning advantages of interleaving over blocking in terms of high-level inferences. We conducted a 2 × 2 × 2 mixed factorial experiment with college students (n = 117) by manipulating text sequence (interleaved vs. blocked) and self-questioning activity while reading (spontaneous vs. prompted) between…

In this review, we summarized and meta-analyzed 35 single-case intervention studies that involved the use of multiple schedules of reinforcement with 78 individuals with intellectual and developmental disabilities. Based on Tau-U calculations, multiple schedules of reinforcement produced an overall large effect for appropriate communicative…

This study investigates students' cognitive resources for identifying symmetry elements using survey data collected from 39 inorganic chemistry students from twelve undergraduate inorganic classes at universities across the United States. We propose a framework that leverages students' knowledge of symmetry elements as a manifold of cognitive…