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IA: Bibliografía: IA y educación

Nº de publicaciones: 360
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Acceptance of artificial intelligence in teaching science: Science teachers' perspective
Abdulla Al Darayseh (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Temas IA: IA y educación estudio empírico

Resumen:

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Over the last few decades, there has been growing interest in artificial intelligence (AI) and how to apply it effectively in the educational process. The behavioural intention and attitudes of teachers play an important role in this regard. The technology acceptance model (TAM) has been shown to be effective in predicting factors that may positively or negatively influence behavioural intentions to use technology. The current study therefore aims to use this model to reveal teachers’ perceptions of the factors that influence the use of AI applications in science education. This research uses the descriptive method where a 6-dimensional scale is designed based on the components of...

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Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review
Bahar Memarian, Tenzin Doleck (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ética educación superior

Temas IA: ética de la IA IA y educación revisión de bibliografía

Resumen:

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Background: The use of Artificial Intelligence or AI is rising in higher education. With this rise, the morality of AI programs is being questioned. There is, as such, a need to understand how notions of Fairness, Accountability, Transparency, and Ethics or FATE are identified in the AI and higher education studies to date. Purpose: This systematic review paper aims to understand definitions and studies on FATE and AI in the higher education literature. The contribution of this work is to provide a summary of FATE development and the synthesis of the challenges and potentials of each of the reviewed studies. Method: A total of 33 publications from SCOPUS and Web of Science (WoS) were...

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Algorithm appreciation or aversion? Comparing in-service and pre-service teachers’ acceptance of computerized expert models
Esther Kaufmann (2021)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Temas IA: IA y educación estudio empírico

Resumen:

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Although computerized expert models (i.e., algorithms) could improve educational decisions and judgments, initial research has demonstrated that teachers, like other professional groups, tend to be “algorithm averse.” In the current study, we use behavioral and questionnaire data to examine the extent to which in-service and pre-service (i.e., students in training to become) teachers accept advice from expert models and investigate how teachers' acceptance of expert models could be improved. Although it is often presumed that younger generations are less algorithm averse, we demonstrate that both in-service and pre-service teachers prefer advice from a human source (school counselor) than...

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A systematic review of learning task design for K-12 AI education: Trends, challenges, and opportunities
Li Li, Fengchao Yu, Enting Zhang (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

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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This systematic review investigates learning task design for K-12 AI education, aiming to provide an overview of the status of AI education and identify trends, challenges, and opportunities. Through an analysis of 47 empirical studies, the review presents, synthesizes, and evaluates the educational theories underpinning the learning task design, the content, the pedagogies used for teaching, as well as the measurement and outcomes of the existing literature on AI education programs in K-12 settings. The principal findings reveal a diverse landscape of learning task design for teaching AI to K-12 students. Positive outcomes underscore the effectiveness of well-crafted hands-on tasks in...

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AI-based teaching evaluations: How well do they reflect student perceptions?
Yossi Ben Zion, Shir Yakov, Einat Abramovitch (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial procesamiento del lenguaje natural educación superior

Temas IA: IA y educación estudio empírico

Resumen:

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This study presents an innovative solution for evaluating university-level teaching quality using artificial intelligence (AI), focusing on key aspects such as clarity of explanation and lecture structure. Traditional student surveys, while valuable, are often subject to biases and lack the necessary granularity, creating a need for objective, scalable solutions that provide consistent results. We propose an automated framework utilizing advanced natural language processing (NLP) models to assess teaching quality based on lecture transcripts. The methodology combines AI-driven transcription, machine learning-based assessments, and correlation with institutional student evaluations to...

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From proficiency to pedagogy: A mixed-methods study of in-service teachers’ TPACK-GenAI and the mediating role of pedagogical knowledge
Laila Mohebi, Areej ElSayary (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado competencia digital

Temas IA: IA y educación estudio empírico

Resumen:

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This study investigated in-service teachers' Technological Pedagogical Content Knowledge for Generative Artificial Intelligence (TPACK-GenAI) and examined the factors influencing their integration of generative AI in classroom practice. Using an explanatory sequential mixed-methods design, data were collected from 325 in-service teachers across 26 countries, followed by in-depth interviews with seven teachers. Quantitative results revealed that Technological Knowledge (TK), Pedagogical Knowledge (PK), and Pedagogical Content Knowledge (PCK) were significantly associated with teachers' overall TPACK-GenAI. Crucially, mediation analysis confirmed that Technological Pedagogical Knowledge (TPK...

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Digital interaction literacy model – Conceptualizing competencies for literate interactions with voice-based AI systems
Astrid Carolus, Yannik Augustin, André Markus (2023)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA competencia digital

Temas IA: conceptos básicos IA y educación

Resumen:

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AI-based systems, and especially voice-based AI systems, are gaining popularity and set novel requirements for end users. Research has provided first approaches postulating and conceptualizing AI-related user competencies. However, voice-based technology utilizing spoken language for operation has been neglected so far. This study presents qualitative interviews of 12 experts in research, development, or design of voice-based AI and explores the skills and competencies which are needed to interact with VBAI in a self-determined and mindful manner. Analyses highlight that, contrary to existing assumptions and providers’ advertising promises, not only language skills but a wider...

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Artificial intelligence literacy in higher and adult education: A scoping literature review
Matthias Carl Laupichler, Alexandra Aster, Jana Schirch (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: IA y educación revisión de bibliografía

Resumen:

Texto completo

Since artificial intelligence (AI) is finding its way into more and more areas of everyday life, improving the AI skills of non-experts is important and will become even more relevant in the future. While it is necessary that children learn about the possibilities of AI at an early age, adults in higher education and beyond should also have at least a basic understanding of AI (i.e., AI literacy) to be able to interact effectively with the technology. To evaluate the current state of the literature on AI literacy in higher and adult education, a scoping literature review was conducted with the objective of identifying thematic foci and recent research trends. Ten research databases were...

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AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students' AI self-efficacy
Arne Bewersdorff, Marie Hornberger, Claudia Nerdel (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación superior

Temas IA: IA y educación estudio empírico

Resumen:

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This study investigates how cognitive, affective, and behavioral variables related to artificial intelligence (AI) build AI self-efficacy among university students. Based on these variables, we identify three meaningful student groups, which can guide educational initiatives. We recruited 1465 undergraduate and graduate students from the United States, the United Kingdom, and Germany and measured their AI self-efficacy, AI literacy, interest in AI, attitudes towards AI, and AI use. Using a path model, we examine the correlations and paths among these variables. Results reveal that AI usage and positive AI attitudes significantly predict interest in AI, which in turn and together with AI...

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Towards responsible AI for education: Hybrid human-AI to confront the elephant in the room
Danial Hooshyar, Gustav Šír, Yeongwook Yang (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial ética analítica del aprendizaje

Temas IA: ética de la IA IA y educación

Resumen:

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Despite significant advancements in AI-driven educational systems and ongoing calls for responsible AI for education, several critical issues remain unresolved—acting as elephant in the room within AI in education, learning analytics, educational data mining, learning sciences, and educational psychology communities. This critical analysis identifies and examines nine persistent challenges across the conceptual, methodological, and ethical dimensions that continue to undermine the fairness, transparency, and effectiveness of current AI methods and applications in education. These include: 1) the lack of clarity around what AI for education truly means—often ignoring the distinct purposes,...

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Etiquetas

  • análisis de producción de IA (54)
  • catálogo de herramientas (15)
  • chatbots (68)
  • chatGPT (155)
  • conceptos básicos (38)
  • estudio empírico (487)
  • ética de la IA (119)
  • guía (26)
  • IA y aprendizaje (159)
  • IA y creación de materiales (63)
  • IA y educación (360)
  • IA y ELE (31)
  • IA y enseñanza-aprendizaje de lenguas (208)
  • IA y evaluación (140)
  • IA y variedades del español (1)
  • modelos de lenguaje (LLM) (87)
  • prompts (65)
  • revisión de bibliografía (136)
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