IA y educación

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial educación superior innovación educativa

Temas IA: IA y educación

Resumen:

The global landscape of higher education is undergoing a profound transformation driven by Generative Artificial Intelligence (GenAI) and pervasive digital technologies, particularly posing fundamental challenges to the traditional liberal arts education model grounded in holistic human development, broad intellectual inquiry, and student engagement. This position paper examines Lingnan University (Lingnan), Hong Kong’s longest-established institution of higher education, as a critical case of how a liberal arts university can strategically transform itself in the digital era without relinquishing its humanistic foundations. It analyzes Lingnan’s institutional transformation towards a “...

A systematic review of ontology use in E-Learning recommender system

Nur W. Rahayu, Ridi Ferdiana, Sri S. Kusumawardani (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa enseñanza en línea e híbrida

Temas IA: IA y educación revisión de bibliografía

Resumen:

Ontology and knowledge-based systems typically provide e-learning recommender systems. However, ontology use in such systems is not well studied in systematic detail. Therefore, this research examines the development and evaluation of ontology-based recommender systems. The study also discusses technical ontology use and the recommendation process. We identified multidisciplinary ontology-based recommender systems in 28 journal articles. These systems combined ontology with artificial intelligence, computing technology, education, education psychology, and social sciences. Student models and learning objects remain the primary ontology use, followed by feedback, assessments, and context...

AI literacy for ethical use of chatbot: Will students accept AI ethics?

Yusuke Kajiwara, Kouhei Kawabata (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA ética

Temas IA: IA y educación ética de la IA chatbots

Resumen:

In AI literacy education, there are few examples of education based on AI ethical principles, and limited knowledge exists regarding curriculum design that incorporates AI ethical principles and its effects. Therefore, in this study, we propose a curriculum that teaches the ethical use of large language models (LLM) such as ChatGPT and verify its impact on educational effectiveness and technology acceptance among students aged 12 to 24. The validation results show that the proposed curriculum particularly contributes to the understanding of LLM concepts and their ethical use in decision support. We also demonstrate that experience using ChatGPT influences the level of understanding of...

Understanding AI adoption among secondary education teachers: A pls-sem approach

Marta López-Costa, Belén Donate-Beby, Natividad Cabrera-Lanzo (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Temas IA: IA y educación estudio empírico

Resumen:

This study investigates the factors influencing the adoption of Artificial Intelligence (AI) by secondary school teachers in Catalonia. Using a Partial Least Squares Structural Equation Modelling (PLS-SEM) methodology, a conceptual model was analyzed that includes AI perception, AI knowledge, General data use, Applied data use, and STEM training as predictors of AI adoption. The results reveal that AI knowledge (β = .482, p < .001) and General data use (β = .288, p = .001) are the most significant and positive predictors of AI adoption. In contrast, AI perception shows a weak but statistically significant negative relationship (β = -.105, p = .022), while applied data use and STEM...

Pedagogy first, technology second: Cross-level relationships between teacher professional knowledge and student learning in artificial intelligence (AI) education

Weipeng Shen, Ching Sing Chai, Thomas K.F. Chiu (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado alfabetización en IA

Temas IA: IA y educación estudio empírico

Resumen:

For current K-12 AI education, understanding how teacher professional knowledge influences student learning is essential. This study employed social cognitive theory to conceptualize teachers' instructional practice and conducted a multilevel structural equation model analysis to examine the cross-level effects of teacher AI knowledge (TAIK) and pedagogical AI knowledge (TPAIK) on student AI knowledge (SAIK), perceptions of AI for social good (SAISG), and behavioral intention to learn AI (SBIAI). Data from 46 secondary school teachers and 2832 students revealed intricate mechanisms. TAIK alone was insufficient and could slightly diminish SAISG without TPAIK. Instead, TPAIK played a...

A case study of using AI for General Certificate of Secondary Education (GCSE) grade prediction in a selective independent school in England

Gyorgy Denes (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación educación primaria y secundaria

Temas IA: IA y evaluación IA y educación ética de la IA

Resumen:

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The COVID-19 pandemic has created significant challenges for UK schools, but a time of cancelled exams and uncertainty around future examinations can provide opportunities to explore novel assessment methods. Hence, the 2020 proposal of the Ofqual algorithm which combines teachers' estimated grades and schools' historical performance seemed timely. However, the algorithmically calculated grades resulted in a public backlash and withdrawal of the proposal. While the failed Ofqual algorithm could be considered an example of AI, we do not yet have a thorough understanding of its numerical accuracy and how it performs in comparison to other AI models. This paper investigates this novel...

An AI-enhanced pattern recognition approach to temporal and spatial analysis of children's embodied interactions

Ceren Ocak, Theodore J. Kopcha, Raunak Dey (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional multimodalidad

Temas IA: IA y educación estudio empírico

Resumen:

Multimodal video analysis is a complex and time-consuming process for a researcher; it entails capturing, watching, and re-watching video data to identify which segments best inform or address the questions that drive the research. Modern AI applications can alleviate the challenges that arise during the fine-grained analysis of learners' multimodal interactions captured through video. In this study, we present a supervised approach to training a deep neural network to analyze children's computational thinking (CT) captured through multimodal video data. The approach first uses a set of images extracted from video data to train the AI to map them to labels generated using a priori theory....

Co-designing AI with youth partners: Enabling ideal classroom relationships through a novel AI relational privacy ethical framework

Michael Alan Chang, Mike Tissenbaum, Thomas M. Philip (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética educación primaria y secundaria

Temas IA: ética de la IA IA y educación estudio empírico

Resumen:

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...

Conceptualizing AI literacies for children and youth: A systematic review on the design of AI literacy educational programs

Osnat Atias, Areej Mawasi (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Temas IA: IA y educación revisión de bibliografía

Resumen:

The growing presence of Artificial Intelligence (AI) in society increases the exposure of children and youth to these technologies. In response, recent research introduced educational programs that foster AI knowledge and competencies, collectively comprising AI literacy. This study presents a systematic review of 23 articles published up to 2023 describing AI literacy programs for children and youth. We examined: (1) motivations for teaching AI literacy, (2) conceptualizations of AI literacy that informed program design, and (3) learning theories and pedagogical methods employed. The analysis identified five motivational themes: workforce, informed users, purposeful creators, advocacy, and...

Moeketsi Mosia, Fadip Audu Nannim, Felix Egara (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores alfabetización en IA

Temas IA: IA y educación estudio empírico

Resumen:

In this factor-informed exploratory CFA/SEM study, AI-literacy-related domains were treated as theoretically informed and empirically tested predictors of AI-TPACK readiness rather than as fully validated independent latent variables. Artificial intelligence (AI) is increasingly entering mathematics education, making it important to understand how preservice teachers become ready to integrate AI-supported tools pedagogically. This study examined AI-TPACK readiness among 130 preservice mathematics teachers at a South African public university. Exploratory factor analysis using polychoric correlations indicated that the AI-TPACK readiness items were essentially unidimensional; one weak design...