IA y educación

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa

Temas IA: IA y educación revisión de bibliografía

Resumen:

With the rapid development of artificial intelligence, the application of AI robots (Artificial Intelligence-based robots) for instruction has become an attractive research topic. Numerous studies have shown that AI robots may provide new opportunities for learning designs in school settings or professional training. However, there is no review examining the role and research foci of AI-Robots in Education (AIRE) research. This study therefore explored the research trends of AIRE by conducting a systematic review of SSCI (Social Sciences Citation Index) journal articles published in the Web of Science (WoS). The study analyzed the participants, duration of the studies, learning environments...

Examining teachers’ behavioural intention of using generative artificial intelligence tools for teaching and learning based on the extended technology acceptance model

Siu-Cheung Kong, Yin Yang, Chunyu Hou (2024)

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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:

The rapid development of generative artificial intelligence (GenAI) tools has given rise to a growing discussion of the potential challenges and benefits that the use of these technologies may present in the field of education. This study examines the acceptance of the use of GenAI tools for teaching and learning among primary and secondary school teachers in Hong Kong. It uses an extension of the technology acceptance model (TAM) with a modified framework that incorporates two key factors: self-efficacy and subjective norm. Data were collected from a sample of 367 primary and secondary school teachers in Hong Kong using questionnaires containing items for six constructs: self-efficacy,...

A study of developing administrative Staff's conceptual understanding of generative artificial intelligence through professional Development: Evaluation of a course using tests, surveys and thematic analysis of reflective writings

Siu-Cheung Kong, Wenxi Hu (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA diseño curricular

Temas IA: IA y educación estudio empírico

Resumen:

Emerging research underscores the growing importance of artificial intelligence (AI) literacy for administrative staff as AI technologies continue to reshape the labor market. However, there remains a limited study about the curriculum components of AI literacy for administrative staff. This study aims to bridge this gap by designing and evaluating a professional development programme for administrative staff grounded in a four-dimensional AI literacy framework. A total of 62 administrative staff from diverse professional backgrounds participated in a 30-h course on understanding Generative Artificial Intelligence (GenAI) and its applications. Pre- and post-course conceptual tests and...

Improving instructional design proficiency of master's students in mathematics education through intelligent educational technologies

Fusheng Zhu, Qian liang, Zhanmin Mao (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores diseño curricular

Temas IA: IA y educación estudio empírico

Resumen:

Research on smart education has predominantly focused on macro-level concepts and frameworks, such as core principles and system architectures, while offering limited guidance for discipline-specific integration and practical implementation. This study addresses two critical gaps: (1) how an M.Ed. course can be enhanced through intelligent educational technologies, and (2) whether a smart classroom teaching mode can effectively improve M.Ed. students’ instructional design competence, particularly in terms of precision and professionalism.Adopting a pedagogically oriented approach rather than an algorithmic one, this study proposes a three-dimensional framework encompassing learning...

Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation

Carlos Felipe Rodríguez-Hernández, Mariel Musso, Eva Kyndt (2021)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje educación superior

Temas IA: IA y educación estudio empírico

Resumen:

The applications of artificial intelligence in education have increased in recent years. However, further conceptual and methodological understanding is needed to advance the systematic implementation of these approaches. The first objective of this study is to test a systematic procedure for implementing artificial neural networks to predict academic performance in higher education. The second objective is to analyze the importance of several well-known predictors of academic performance in higher education. The sample included 162,030 students of both genders from private and public universities in Colombia. The findings suggest that it is possible to systematically implement artificial...

A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region

Jiahong Su, Yuchun Zhong, Davy Tsz Kit Ng (2022)

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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:

Artificial intelligence (AI) teaching is becoming an increasingly popular topic among educators and researchers, but the research on AI curriculum for K-12 classrooms was under-explored. Currently, most studies examine the curriculum content of the United States and the European countries. However, there has been limited research on AI learning design and activities in the Asia-Pacific region. This meta-review examined 14 research papers on AI curriculum for K-12 classrooms that were taken in the Asia-Pacific region from 2018 to 2021 by identifying the content knowledge, tools, platforms, activities, theories and models, assessment methods, and learning outcomes of the selected studies. The...

How to responsibly deploy a predictive modelling dashboard for study advisors? A use case illustrating various stakeholder perspectives

Anouschka van Leeuwen, Marije Goudriaan, Ünal Aksu (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje ética

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

Resumen:

Most higher education institutions employ study advisors to support their students. To adequately perform their task, study advisors have access to study information about their students. Using AI techniques to analyze that information and to predict if a student might be at risk of study delay could be a valuable tool in study advisors' practice. In this paper, we present a use case of how such a tool was developed (in the form of a dashboard) and which steps and considerations played a role in the responsible deployment of the tool. Three aspects are described: first, we present the timeline of the case study and zoom in on how the macro-level of the institution (where the groundwork is...

Adapting teaching and learning with existing generative AI by higher education Students: Comparative study of Zayed University and King Abdulaziz University

Dina Tbaishat, Ghada Amoudi, Maha Elfadel (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior creencias y actitudes de los estudiantes

Temas IA: IA y educación estudio empírico

Resumen:

This study examines the role of higher education students’ perceptions in adapting Generative AI (GenAI) tools for teaching and learning, with a particular focus on the factors that influence student satisfaction and engagement. A comparative approach is adopted, exploring student experiences at Zayed University (ZU) in the UAE and King Abdulaziz University (KAU) in Saudi Arabia. The principal variables of interest, including Expected Benefits (EB), University Support (US), Ethical Awareness (EA), and Technology Self-Efficacy (TSE), are examined, with particular attention to their direct and mediated influences through Behavioral Intention (BI) on student satisfaction (SS). Data were...

Play with AI (PL-AI): A play-centered, design-based curriculum for AI literacy in pre-K and kindergarten

Joohi Lee (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación infantil

Temas IA: IA y educación estudio empírico

Resumen:

This paper reports on the design, implementation, and refinement of Play with AI (PL-AI), a developmentally appropriate curriculum designed to introduce foundational artificial intelligence (AI) concepts to pre-kindergarten and kindergarten children. Using a design-based research (DBR) approach, two pre-K and two kindergarten teachers co-designed, piloted, and refined seven sequenced activities integrating unplugged play (e.g., children composing and testing “how-to” algorithms), tangible coding (e.g., programming Bee-Bot or Ozobot to follow paths), and guided dialogue with a social AI robot (e.g., comparing children's story endings with the robot's). The study addressed two research...

Artificial Intelligence teaching and learning in K-12 from 2019 to 2022: A systematic literature review

Saman Rizvi, Jane Waite, Sue Sentance (2023)

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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:

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There is an emerging interest in Artificial Intelligence (AI) teaching and learning in the K-12 setting. While some work has explored the educational content and resources used for this purpose, there is limited empirical evidence on the effectiveness of such AI education interventions. The primary objective of the systematic literature review presented in this paper was to examine research with empirical evidence reporting learning outcomes for teaching and learning AI in K-12 between 2019 and 2022. Through a rigorous selection process, a total of 28 studies were included in the final analysis out of 8,175 papers identified from five research databases using specific search terms....