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Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy

As generative AI becomes increasingly integrated into higher education, understanding how students engage with these technologies is essential for responsible adoption. This study evaluates the Educational AI Hub, an AI-powered learning framework, implemented in undergraduate civil and environmental engineering courses at a large R1 public university. Using a mixed-methods design combining pre- and post-surveys, system usage logs, and qualitative analysis of students' AI interactions, the research examines perce…

Scientific Reports · Education

Evidence-backed gain

Artificial intelligence-driven green education for sustainable development goals: A review

The intersection of environmental education and artificial intelligence signifies a paradigmatical paradigm shift towards attainment of the United Nations Sustainable Development Goals, and specifically in SDG 4 (Quality Education) and SDG 13 (Climate Action). This is despite the fact that despite considerable growths in technology, the traditional methods used to dispense education are challenged by the need to be able to offer scalable, personalized and beneficial green education that will communicate environm…

Education

Evidence-backed problem

Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework

The rapid evolution of Artificial Intelligence (AI) and its widespread adoption have given rise to a critical need for understanding the underlying factors that shape users' behavioral intentions. Therefore, the main objective of this study is to explain user perceived behavioral intentions and use behavior of AI technologies for academic purposes in a developing country. This study has adopted the unified theory of acceptance and use of technology (UTAUT) model and extended it with two dimensions: trust and pri…

Education

Both readings

The promise and challenges of generative AI in education

Generative artificial intelligence (GenAI) tools, such as large language models (LLMs), generate natural language and other types of content to perform a wide range of tasks. This represents a significant technological advancement that poses opportunities and challenges to educational research and practice. This commentary brings together contributions from nine experts working in the intersection of learning and technology and presents critical reflections on the opportunities, challenges, and implications rela…

Education

Evidence-backed gain

Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education

This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced AI and natural language processing (NLP) techniques to create an interactive and engaging learning platform. This platform is engineered to reduce cognitive load on learners by providing easy access to information, facilitating knowledge assessment, and delivering personalized learning support tailored to individual nee…

Education

Evidence-backed gain

The EAP‐AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

ABSTRACT The advancement of Generative Artificial Intelligence (GenAI) is complicating traditional techniques in English for Academic Purposes (EAP) instruction. This paper proposes a novel adaptation of an existing scale (the AI Assessment Scale), which is designed to facilitate effective learning and assessment in the era of GenAI. We label this the EAP AI Assessment Scale (EAP‐AIAS). The EAP‐AIAS consists of five levels, ranging from “No AI” to “Full AI,” each delineating appropriate GenAI usage in EAP tasks.…

Education

Evidence-backed gain

Sustainable adoption of artificial intelligence and the Metaverse in higher education: an environmental, social, and governance–based analysis of pedagogical innovation and perceived student learning outcomes

The rapid convergence of Artificial Intelligence (AI) and Metaverse technologies is reshaping the higher education landscape by enabling immersive, personalized, and adaptive learning experiences. However, the long-term sustainability of such innovations remains uncertain without addressing environmental, social, and governance (ESG) considerations. This study develops and empirically validates an ESG-informed framework for Sustainable AI-Metaverse Adoption (SAAM) in higher education. A quantitative research des…

Education

Navigating opportunities and challenges of generative AI in higher education: towards responsible, equitable, and human-centered integration

The rapid emergence of generative AI (GenAI) tools, such as ChatGPT, presents transformative potential for higher education (HE) while also raising significant ethical, pedagogical, and policy- related concerns. This systematic and thematic review, based on 46 documents from the Web of Science (WoS), narrows its qualitative analysis to 27 peer-reviewed articles to explore key trends in implementation. Findings highlight GenAI's benefits in improving personalized learning, self-regulated strategies, and adaptive…

Education

<scp>AI</scp>‐driven adaptive learning for sustainable educational transformation

Abstract This paper scrutinizes how adaptive learning technologies and artificial intelligence (AI) are transforming today's education by making it personalized, accessible, and efficient as well as leading people to accepting, addressing, and mitigating sustainable development. Recently, education witnessed a remarkable technological surge driven by various advances in technology, which can be demonstrated by the increase of the number of scientific publications on this topic from just 1 in 1990 to 636 in 2023.…

Education

Built in a lab: Bhopal teacher gives AI gaming makeover to Sanskrit learning

Bhopal Sanskrit teacher Abhishek Tiwari builds a free AI gaming lab and portal, turning NCERT lessons into interactive games to boost student learning.

Education

Built in a lab: Bhopal teacher gives AI gaming makeover to Sanskrit learning

Den-SOFA: Dental Student Outcome Forecasting Assistant using explainable machine learning models

Artificial intelligence (AI) and machine learning (ML) are increasingly being explored in dental education to support academic assessment and identify students at risk of poor performance. However, predictive modeling in this setting remains challenging because complex, nonlinear relationships among academic and demographic variables influence student achievement. Moreover, the value of such models lies not only in prediction but also in interpretability. This study evaluated Den-SOFA, an explainable ML framewor…

Education

Den-SOFA: Dental Student Outcome Forecasting Assistant using explainable machine learning models

Creative partnerships with generative AI. Possibilities for education and beyond

• Generative AI's role in creative production is accelerating, demanding new interaction models between humans and machines. • The authors explore human-AI creative production with ChatGPT and analyse outputs using the concept of alterity relations. • The findings present profound implications for reimagining the essence of creative outputs in education and creative industries. • AI's potentially transformative role as a collaborative partner in fostering creativity and innovation in education. The impact of gen…

Education

The effects of AI-based visual instruction on the reading comprehension of students with dyslexia in Saudi Arabia: a single-case experimental study

Students with learning disabilities (LD), particularly dyslexia, often face significant challenges in reading comprehension that traditional instruction may not fully address. Generative Artificial Intelligence (GenAI) offers emerging opportunities to provide personalised and visual instructional support to bridge these gaps. This study investigated the effectiveness of a GenAI-based visual instruction to support the reading comprehension skills of students with dyslexia. A single-case experimental design using…

Education

The effects of AI-based visual instruction on the reading comprehension of students with dyslexia in Saudi Arabia: a single-case experimental study

The impact of robot-assisted language learning (RALL) on EFL students’ classroom engagement and willingness to attend classes (WTAC): A technology acceptance model (TAM) perspective

Recently, a surge of scholarly attention has been paid to the impacts of Artificial Intelligence (AI) tools on second/foreign language (L2) education. Nonetheless, there is a lack of evidence on the role of AI-assisted robots or robot-assisted language learning (RALL) in English as a foreign language (EFL) students’ psycho-emotional factors and academic behaviors. To address this gap, drawing on the technology acceptance model (TAM), the present study probed into the impact of robot-assisted L2 education on Chin…

Education

The impact of robot-assisted language learning (RALL) on EFL students’ classroom engagement and willingness to attend classes (WTAC): A technology acceptance model (TAM) perspective

Manipulation and Deception in Generative AI-Mediated Education: Preserving Epistemic Agency, Critical Thinking, and Creativity

Abstract Generative AI now mediates core parts of learning, yet we lack criteria to tell its legitimate pedagogical uses from manipulative and deceptive ones. We also know too little about how AI reshapes the growth of critical thinking and creativity, or about whether it accelerates drift from educational goods to evaluative metrics. Using a postdigital, pragmatist lens that treats classrooms as sociomaterial assemblages of people, platforms, and institutions, we propose three orienting principles: moral legiti…

Education