Researchers have increasingly utilized artificial intelligence to automatically analyze classroom dialogue, aiming to provide timely feedback to teachers due to its educational significance. However, traditional machine learning and deep learning models face challenges, such as limited performance and lack of generalizability, across various…

Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…

This article explores the integration of "synthography" in the context of a class in the Degree in Photography, as a strategy to explore artistic and professional practices in the digital transformation era, problematizing the pedagogical implications of using artificial intelligence (AI) in creative disciplines. The study revolves…

Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…

The article seeks to provide new perspectives on the gender gap that characterizes free software, from the review of a series of experiences that have been taking place in Argentina in recent years, which aim at building bridges between free software and feminism. The empirical corpus selected for this work is built upon a series of interviews…

Introduction: In Australia, 54.3% of medical students are women yet they remain under-represented in stereotypical perspectives of medicine. While potentially transformative, generative artificial intelligence (genAI) has the potential for errors, misrepresentations and bias. GenAI text-to-image production could reinforce gender biases making it…

We conducted two experiments to assess the alignment between Generative AI (GenAI) text personalization and hypothetical readers' profiles. In Experiment 1, four LLMs (i.e., Claude 3.5 Sonnet; Llama; Gemini Pro 1.5; ChatGPT 4) were prompted to tailor 10 science texts (i.e., biology, chemistry, physics) to accommodate four different profiles…

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…

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…

Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…

This classroom-based action research explored the influence of creative engagement strategies-- a combination of Participation Squares and Spin-the-Wheel--on enhancing student engagement in a middle school classroom. The study was motivated by a recurring issue of poor student engagement. The intervention, used as a class starter to boost student…

Parent-child back-and-forth conversation is recognized as important for early development. Accordingly, child media use guidelines encourage parents to co-use media, including mobile media, with children. However, information on the types of conversational interactions that occur during co-use of apps, and the best ways for parents to encourage…

The purpose of this study was to evaluate high school students' performance in analyzing complex arguments with the support of an off-the-shelf argument mapping software, Rationale™, which provides diagramming tools with guided prompts. This study attempts to: (1) evaluate the quality of student's argument maps in terms of structural…

This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…

The use of reflective interfaces has been proposed as a useful strategy to reduce cyber harassment amongst adolescents on social networking sites (SNS). By using machine-learning techniques, harassing online messages can be detected before a user submits it online, whereafter a message prompts the user to reconsider the post. This study builds…