IA y educación

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior ChatGPT

Temas IA: IA y educación chatGPT estudio empírico

Resumen:

Higher education is crucial for producing ethical citizens and professionals globally. The introduction of generative AI (GenAI), such as ChatGPT, has posed opportunities and challenges to the traditional model of education. However, the current conversations primarily focus on policy development and assessment, with limited research on the future of higher education. GenAI's impact on learning outcomes, pedagogy, and assessment is crucial for reforming and advancing the workforce. This qualitative study aims to investigate student perspectives on GenAI's impact on higher education. The study uses an initial conceptual framework driven by a systematic literature review to investigate 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....

Secondary school students' mental models and attitudes regarding artificial intelligence - A scoping review

Erik Marx, Thiemo Leonhardt, Nadine Bergner (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 conceptos básicos revisión de bibliografía

Resumen:

With the increasing relevance of Artificial Intelligence (AI) in society, AI literacy is increasingly being integrated into K-12 education. However, students already form conceptions about modern technologies (especially AI) from their interaction with their everyday environment. In this paper, we conduct a systematic scoping review on the emerging research field of secondary school students' mental models and attitudes regarding AI. Our goal is to identify research approaches and uncover research gaps. To achieve this, we reviewed literature published within the timeframe of 2012–2022 found in the ACM, IEEE, ERIC, and Science Direct databases. In total, we identified 18 relevant papers,...

Empower instructors with actionable insights: Mine and visualize student written feedback for instructors’ reflection

Feng Lin, Chenchen Li, Rebekah Wei Ying Lim (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial procesamiento del lenguaje natural educación superior

Temas IA: IA y educación estudio empírico

Resumen:

Student feedback on teaching at the end of the semester is an important source of information for instructors to gain insights into the effectiveness of their teaching. There are usually two forms of student feedback: quantitative scores and qualitative feedback. Quantitative scores can usually be easily summarized, while the analysis of qualitative feedback is usually effort-intensive as it deals with text. To help instructors glean insights from students' qualitative feedback, many previous studies used unsupervised approaches (i.e., topic modelling) for topic extraction in student feedback. Although topic modelling enables automated detection of previously unseen topics with minimal...

Digital equity and computational thinking privilege: The case of first-year engineering and computing students' attitudes towards artificial intelligence

Noemi V. Mendoza Diaz, So Yoon Yoon, Nancy Gertrudiz Salvador (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional inclusión y equidad

Temas IA: IA y educación estudio empírico

Resumen:

Attitudes can constitute barriers to engineering, computing, and artificial intelligence (AI) enculturation, contributing to and resulting from digital inequity. Building upon research on computational thinking privilege, we explored first-year students' (a) perceived future impact of AI on their career prospects and (b) backgrounds (e.g., gender, underrepresented minority (URM) status, and First-Generation status) associated with their attitudes toward AI, computational thinking, and course performance. Computational thinking was measured using our newly validated Engineering Computational Thinking Diagnostic (ECTD), while course performance was assessed based on final grades in an...

Generative AI in scenario-based healthcare education: A systematic review of applications, validation practices, and pedagogical integration

Mariana Neto, Rui Pinto, João Reis (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial educación superior grandes modelos de lenguaje

Temas IA: IA y educación prompts revisión de bibliografía

Resumen:

The adoption of Generative AI (GenAI) and Large Language Models (LLMs) in healthcare education has accelerated rapidly since 2023, yet the evidence base for their use in Scenario-Based Learning (SBL) remains fragmented. This systematic review synthesises empirical research on GenAI applications across scenario-based, case-based, problem-based, and simulation-based learning in healthcare education. Following the PRISMA 2020 guidelines, five databases were searched on 9 November 2025 for peer-reviewed studies published from January 2023 onwards. Of 1151 initial records, 23 studies met the inclusion criteria. Quality was assessed using the Mixed Methods Appraisal Tool (MMAT). Thematic...

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...