Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial educación primaria y secundaria tecnología educativa

Resumen:

Texto completo

This umbrella review examines the current state of artificial intelligence in education (AIEd) in K-12 by synthesizing 102 systematic reviews. We described their characteristics, built a framework to summarize the review foci, synthesized the major findings, and examined their quality. The main findings are as follows: (a) AIEd Review Framework: We developed a framework that maps the territory of AIEd to understand the research topics distributed and interconnected. (b) Innovation: AI has been applied to support teachers’ instruction, personalize learning, enhance engagement and collaboration, automate assessment and feedback, and manage educational content, reflecting its multifaceted...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado competencia digital

Resumen:

Texto completo

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...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots ChatGPT

Resumen:

Texto completo

Teaching and learning in higher education require adaptation following students' inevitable use of AI chatbots. This study contributes to the empirical literature on students' use of AI chatbots and how they influence learning. The aim of this study is to identify how to adapt programming education in higher engineering education. A mixed-methods case study was conducted of a scientific computing course in a Mechanical Engineering Master's program at a Eindhoven University of Technology in the Netherlands. Data consisted of 29 student questionnaires, a semi-structured group interview with three students, a semi-structured interview with the teacher, and 29 students' grades. Results show...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje evaluación

Resumen:

Texto completo

Large language models (LLMs) are increasingly used in language learning and assessment, yet their English proficiency is seldom reported against interpretable proficiency standards. We introduce the China’s Standards of English Language Ability (CSE) framework to assess the proficiency levels and subskills of LLMs. The test is referred to as the CSEBench and comprises 624 expert-annotated multiple-choice items across CSE Levels 2–7. Each item is accompanied by metadata, including difficulty level and subskill labels covering vocabulary, syntax, phonology, and cohesion/discourse. Critically, the dataset includes test responses from 2,050 middle school and and sophomore college students who...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza en línea e híbrida creencias y actitudes de los estudiantes

Resumen:

Texto completo

This study investigates the application of machine learning and BERT models to identify topic categories in helpful online course reviews and uncover factors that influence the overall satisfaction of learners in massive open online courses (MOOCs). The research has three main objectives: (1) to assess the effectiveness of machine learning models in classifying review helpfulness, (2) to evaluate the performance of fine-tuned BERT models in identifying review topics, and (3) to explore the factors that influence learner satisfaction across various disciplines. The study uses a MOOC corpus containing 102,184 course reviews from 401 courses across 13 disciplines. The methodology involves...

Ver ficha completa

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa ética

Resumen:

Texto completo

From unique educational perspectives, this article reports a comprehensive review of selected empirical studies on artificial intelligence in education (AIEd) published in 1993–2020, as collected in the Web of Sciences database and selected AIEd-specialized journals. A total of 40 empirical studies met all selection criteria, and were fully reviewed using multiple methods, including selected bibliometrics, content analysis and categorical meta-trends analysis. This article reports the current state of AIEd research, highlights selected AIEd technologies and applications, reviews their proven and potential benefits for education, bridges the gaps between AI technological innovations and...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA diseño curricular

Resumen:

Texto completo

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...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje enseñanza en línea e híbrida

Resumen:

Texto completo

Existing Predictive Learning Analytics (PLA) systems utilising machine learning models show they can improve teacher practice and, at the same time, student outcomes. The accuracy, and related errors, of these systems can negatively influence their adoption. However, little effort has been made to investigate the errors made by the underlying models. This study focused on errors of models predicting students at risk of not submitting their assignments. We analysed two groups of error when the model was confident about the prediction: (a) students predicted to submit their assignment, yet they did not (False Negative; FN), and (b) students predicted not to submit their assignment yet they...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado formación de profesores

Resumen:

Texto completo

Teachers play a vital role in driving successful artificial intelligence (AI) education. Research on teachers' competency to teach AI (TCAI) is still limited. This study investigated the progression of in-service teachers' AI competency with the Technological Pedagogical Content Knowledge (TPACK) framework using Epistemic Network Analysis (ENA). Seven secondary school teachers who engaged in an AI education project were interviewed over a three-year period of curriculum development and implementation. The differences in ENA patterns in various stages indicated an evolution of teachers’ TPACK over the years. The ENA results also revealed different patterns between experienced and less...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión escrita educación primaria y secundaria

Resumen:

Texto completo

The rapid integration of generative AI into K–12 education presents both opportunities and challenges for supporting students’ learning. This mixed-methods case study examined how high school students interacted with an AI-enhanced resume writing unit and a text-based mock interview unit within an English Language Arts course. Quantitative results indicated students’ positive perceptions of AI utility across constructs of awareness, usage, evaluation, and ethics. Qualitative analysis revealed that students used AI to explore career information, generate and refine resume content, and iteratively revise and refine interview responses. While many students engaged critically—questioning,...

Ver ficha completa