Bibliografía sobre IA y ELE

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas:
ética de la IA IA y educación estudio empírico

Resumen:

Generative artificial intelligence (GenAI) in higher education has introduced a spectrum of ethical challenges, significantly impacting learning outcomes, pedagogies, and assessments. Based on the experiences and perspectives of students and teachers at a research-intensive university in Hong Kong, the study draws on qualitative interview data with 58 undergraduate and graduate students and 12 teachers conducted in early 2025. Through the concept of policy trajectories (Ball, 1993; Ball et al., 2012), the research analyses the interconnections between material contexts and discursive constructions in how AI policies (and their absence) are framed, interpreted, enacted, and resisted. The...

Seeking knowledge or efficiency: Profiling students’ AI-use through survey-based latent class analysis

Mattias W. Hugerth, Luisa W. Hugerth (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas:
chatbots IA y aprendizaje estudio empírico

Resumen:

The spread of easily accessible generative AI in the form of chatbots has impacted secondary education, but the effects of this are largely unknown. Previous studies have shown that using chatbots in a learning context can be both harmful or helpful depending on how they are used. While students are undoubtedly utilising this technology, there is scarce data on the extent, intention, or approach to its use, or what drives it. The present study builds upon the findings of a previous qualitative study, aiming to investigate and quantify students' use of generative AI for schoolwork. Through a survey sent to multiple upper secondary schools, we collected 1266 responses to analyse upper...

Students’ engagement with generative AI in academic learning: A self-determination theory and epistemic network analysis study

Razia Isaeva, H. Nuran Caner, Mustafa Caner (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas:
IA y aprendizaje estudio empírico

Resumen:

This qualitative case study examines undergraduate students’ engagement with generative artificial intelligence (GenAI) in academic learning in an English-medium university setting. This study employs self-determination theory (SDT) as the primary interpretive framework, treating technology acceptance perceptions (e.g., usefulness and ease of use) as descriptive cues rather than explanatory constructs. Data from 23 semi-structured interviews were analyzed using reflexive thematic analysis, complemented by epistemic network analysis (ENA) to examine the structural relationships among themes in students’ discourse, with automated coding validated against a manually coded subset. Students...

AI adoption readiness among Ukrainian education managers: Barriers, typologies, and policy implications

Vasyl G. Kremen, Oleh M. Spirin, Oleksandr I. Liashenko (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Resumen:

Artificial intelligence (AI) adoption in education requires strategic leadership from education managers, yet little research examines AI readiness among this stakeholder group, particularly in post-Soviet transitional contexts. As decision-makers who control whether and how AI enters educational practice, managers’ readiness is essential for evidence-based policy. This study investigates (1) the current state of AI adoption readiness among Ukrainian education managers, including the gap between personal and institutional readiness; (2) the barriers and facilitators that most strongly influence AI readiness; (3) distinct manager typologies based on readiness profiles; and (4) policy...

Pre-service teachers' perceptions and intentions regarding the use of chatbots through statistical and lag sequential analysis

Tzu-Chi Yang, Jian-Hua Chen (2023)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas:
chatbots IA y educación estudio empírico

Resumen:

Texto completo en HTML

Chatbots provide unique interactions with compatible learning system features, improving the limitations of current learning systems. Educational chatbots are seen as the future of technology integration in the field of education. The success and usefulness of chatbots in the educational setting are highly dependent on teachers' beliefs regarding their efficacy, yet most research focuses on the effects on students' learning. Only a few studies have investigated teachers’ beliefs regarding the use of chatbots, which is considered an important issue. Owning to teachers' beliefs having been transformed from their pre-service teacher training, this study used quantitative (i.e.,...

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

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

Detalles Cerrar ✕

Tipo: artículo

Metodología: 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...

Towards automated content analysis of educational feedback: A multi-language study

Ikenna Osakwe, Guanliang Chen, Alex Whitelock-Wainwright (2022)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas:
IA y evaluación estudio empírico

Resumen:

Feedback is a crucial element of a student's learning process. It enables students to identify weaknesses and improve self-regulation. However, studies show this to be an area of great dissatisfaction in higher education. With ever-growing course participation numbers, delivering effective feedback is becoming an increasingly challenging task. The efficacy of feedback will depend on four levels of feedback; namely, feedback about the self, task, process or self-regulation. Hence, this paper explores the use of automated content analysis to examine feedback provided by instructors for feedback practices measured on self, task, process, and self-regulation levels. For this purpose, four...

Artificial intelligence literacy in higher and adult education: A scoping literature review

Matthias Carl Laupichler, Alexandra Aster, Jana Schirch (2022)

Detalles Cerrar ✕

Tipo: artículo

Metodología: revisión bibliográfica

Temas:
IA y educación revisión de bibliografía

Resumen:

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...

A shape of play to come: Exploring children's play and imaginaries with robots and AI

Robin Samuelsson (2023)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Resumen:

We are rapidly moving into an era where AI and robots are part of everyday interactions in society and education, and there are immense discussions today about current and future technologies. Still, children are often not included in this discussion, while there is much to learn from current uses and children's understandings of AI and robotics. The study is based on a seven-month ethnographical work that details the implementation of a robot in two preschool groups of children aged 1–2 and 3–5 (n = 38). The study descriptively combines a framework for children's play analysis with explorative qualitative child interviews (n = 6) with the 3-5-year-olds to examine how children play with the...

Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approach

Siu-Cheung Kong, Man-Yin William Cheung, Olson Tsang (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Resumen:

The advent of artificial intelligence (AI) in the workplace is pressuring employees to learn how to harness this technology. The goal of promoting AI literacy is to equip educated citizens with the readiness to apply AI. The aim of this study is to provide evidence to guide the development of an AI Literacy Framework to prepare educated citizens to participate in future society. We report on a 14-h AI literacy course for senior secondary students, emphasising problem-solving competence development and adopting the project-based learning approach. One hundred and twenty-eight students completed the course, and a mixed-methods analysis was conducted to evaluate the results. A post-course test...