Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Educational systems generate huge quantities of digital data. Digital educational data is captured and used at all points -- from classrooms and schools, to the level of educational departments. As growing trends in ‘data-driven instruction’ suggest, all these data have great potential to support student, teacher and leadership practices, help guide work and learning decisions, and inform policy development. Moreover, an increasing focus is being placed on the development of artificial intelligence to automate and improve how data are used. Yet, stakeholder data practices remain invisible and little understood, which complicates how artificial intelligence can be embedded in this context....

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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As generative artificial intelligence (GenAI) tools become increasingly integrated into educational environments, concerns have emerged about their potential to facilitate academic dishonesty. Drawing on the modified theory of planned behavior, this study aimed to understand undergraduate students’ academic cheating behaviors using GenAI. The study conducted a mixed-method approach, utilizing focus groups and polls to gather insights from 25 undergraduate students enrolled in a course that incorporated GenAI into its pedagogical design in the United States. The results revealed that the integration of GenAI into higher education is perceived as inevitable. While students clearly recognized...

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Metodología: estudio empírico

Temas: inteligencia artificial

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In recent years, the design of AI-based tools for educational spaces have been largely driven by researchers who impart their past expertises, experiences, and perspectives in the design process. While this typically leads to technically feasible designs and are often well-grounded in theories of learning, youth agency is typically limited in this process. In this paper, we argue that designers have a significant ethical responsibility to incorporate youth voices – in particular, their dreams and concerns – into the design of AI tools starting from conception. This need is particularly important as new applications for AI, such as AI-supported collaboration, introduce new surveillance...

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Metodología: estudio empírico

Temas: inteligencia artificial

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AI tutors are becoming the new faces of digital classrooms, but these faces may determine who is trusted and who is ignored. Anthropomorphic avatars designed to increase engagement, may also activate social heuristics that reproduce offline patterns of bias. Yet little empirical research has examined how these identity cues shape epistemic trust and enacted reliance in AI-mediated learning. This study addresses this gap by systematically isolating their effects on learners' evaluative judgments and behavioral uptake in diverse learning contexts. Two experiments examined how avatar race, gender, and age shape trust in AI-mediated education. Study 1 (N = 102) used a within-subjects laboratory...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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This study explores strategic approaches for integrating artificial intelligence (AI) into K–12 education to prepare learners for the AI era. It addresses two critical questions: 1) What are the key components of AI competency frameworks identified in current research? 2) What framework can guide the effective, responsible integration of AI in K–12 while prioritising human values? We conducted a scoping review of 54 studies, identifying three core student competencies: foundational AI knowledge, practical and cognitive skills of using AI, and ethical awareness. However, existing frameworks place limited emphasis on developing human values. Consequently, we propose a three-component...

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Metodología: estudio empírico

Temas: inteligencia artificial

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This research investigates bias in AI algorithms used for monitoring student progress, specifically focusing on bias related to age, disability, and gender. The study is motivated by incidents such as the UK A-level grading controversy, which demonstrated the real-world implications of biased algorithms. Using the Open University Learning Analytics Dataset, the research evaluates fairness with metrics like ABROCA, Average Odds Difference, and Equality of Opportunity Difference. The analysis is structured into three experiments. The first experiment examines fairness as an attribute of the data sources and reveals that institutional data is the primary contributor to model discrimination,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial Intelligence has greatly revolutionized education in many aspects. Today, AI-enabled language models, such as ChatGPT, are gaining popularity due to their characteristics and benefits. However, users also consider them a threat to educational integrity and purposes. This research examined ChatGPT usage among students in the United Arab Emirates (UAE), their views, concerns, and perceived ethics. The data was gathered from 388 students from two universities in Al Ain city using Yamane's formula. Findings showed that students consider ChatGPT a revolutionary technology that helps students in many ways. The gathered data showed that the effect of ChatGPT Usage remained significant...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Artificial intelligence (AI) is increasingly shaping education, including classroom management. This systematic review analyzes 104 studies (2000–2022) on the use of AI in classroom management, focusing on educational purposes, technical implementations, and ethical considerations. Our findings show a growing use of AI technologies—particularly machine learning and deep learning—for tasks such as attendance tracking, behavior monitoring, and engagement assessment. These tools can streamline classroom management and offer detailed insights into student behavior. However, only a minority of studies leveraged AI's full potential, such as real-time feedback or multimodal data. Ethical issues,...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial Intelligence (AI) holds significant potential in transforming future educational practices by enhancing teaching and learning. However, its full realization heavily depends on teachers' AI literacy, which significantly influences their engagement levels with AI technologies and their abilities to adopt AI technologies effectively in similar settings. In this study, we conduct a holistic analysis examining pre-service teachers' AI literacy for providing insights about current understanding of AI technologies, perceptions of the applications of AI in education, ethical issues and strategies for effectively enhancing AI literacy. Guided by Bloom's Taxonomy, a comprehensive, layered...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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From unique educational perspectives, this article reports a comprehensive review of selected empirical studies on artificial intelligence in education (AIEd) published in 1993–2020, as collected in the Web of Sciences database and selected AIEd-specialized journals. A total of 40 empirical studies met all selection criteria, and were fully reviewed using multiple methods, including selected bibliometrics, content analysis and categorical meta-trends analysis. This article reports the current state of AIEd research, highlights selected AIEd technologies and applications, reviews their proven and potential benefits for education, bridges the gaps between AI technological innovations and...

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