Artificial Intelligence (AI) tools are becoming integrated into the domains of teaching, learning, assessment and administration of educational institutions. While these advances are seen to provide opportunities, new concerns have arisen about the ethics of AI use. This has precipitated the publication of various AI ethics guidelines, however,…

As artificial intelligence (AI) rapidly transforms educational practices, educators worldwide face an urgent need to develop pedagogic competencies that align with AI's evolving capabilities, yet existing frameworks lack systematic guidance for AI-specific skill development. This article introduces a pioneering framework designed to refine…

The advent of generative Artificial Intelligence (AI) systems, such as large language model chatbots, is likely to have a significant impact in psychotherapy and counselling in the future. In this paper we consider the current state of AI in psychotherapy and counselling and the likely evolution of this field. We examine the ethical codes of…

We investigate the multilingual and multimodal performance of a large language model-based artificial intelligence (AI) system, GPT-4o, using a diverse set of physics concept inventories spanning multiple languages and subject categories. The inventories, sourced from the PhysPort website, cover classical physics topics such as mechanics,…

As is rapidly becoming clear, data science increasingly permeates many aspects of life. Educational research recognizes the importance and complexity of learning data science. In line with this imperative, there is a growing need to investigate the factors that influence student performance in data science tasks. In this paper, we aimed to apply…

Emotions of learners are fundamental and significant in e-learning as they encourage learning. Machine learning models are presented in the literature to look at how emotions may affect e-learning results that are improved and optimized. Nevertheless, the models that have been suggested so far are appropriate for offline mode, whereby data for…

Adolescents experiencing stressful life events are at risk for psychopathology, suggesting the necessity of identifying factors that may protect against the deleterious effects of exposure to stressful life events. Informed by the Shattered Assumptions Theory and the CASEL Framework, this study extends existing research by investigating the role…

Dropout prediction is an important strategic instrument for universities. The Austrian academic system relies on "student activity" for university funding, defined as accumulating 16+ ECTS credits per study year. This study proposes a combined method of machine learning and ARIMA models, predicting the number of studies eligible for…

This study examines the factors influencing science teachers' intentions to adopt humanoid robots in educational settings. It employs the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) and the Technology-Organization-Environment (TOE) framework as guiding theoretical models. By integrating UTAUT-2, which emphasizes individual…

Large language models (LLMs), through their exposure to massive collections of online text, learn to reproduce the perspectives and linguistic styles of diverse social and cultural groups. This capability suggests a powerful social scientific application--the simulation of empirically realistic, culturally situated human subjects. Synthesizing…

Generative artificial intelligence (GenAI) is a subset of artificial intelligence (AI) that can generate content such as texts, images, videos, sounds, etc. While GenAI tools have been utilized in various contexts, their utilization in the academic context is still a controversial topic. Scholars observed that many universities have banned GenAI…

Recycling waste is essential to mitigate environmental damage caused by human activity. Environmentally responsible behaviors, shaped during early ages, are closely linked to environmental attitudes, as demonstrated by prior research. This study aims to predict middle school students' recycling behaviors using machine learning algorithms. A…

This research aims to develop an adaptive digital project-based learning model enhanced with artificial intelligence technology to facilitate the creation of digital content. A systematic approach was employed, divided into three phases: 1) study and synthesis of conceptual frameworks to understand the elements and relationships of related…

This article proposes a critical typology of five emerging responses to artificial intelligence (AI) in language education, from prohibition and hype to critical engagement, highlighting the assumptions, tensions, and possibilities each orientation embodies. This typology serves as a reflective tool to examine how educators and institutions are…

Effective feedback is essential for refining instructional practices in mathematics education, and researchers often turn to advanced natural language processing (NLP) models to analyze classroom dialogues from multiple perspectives. However, utterance-level discourse analysis encounters two primary challenges: (1) multifunctionality, where a…