Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación educación superior

Resumen:

Texto completo

Longitudinal progress testing promotes self-directed deep learning across a full spectrum of knowledge, enabling early detection of underperformance and opportunities for remediation. Computer adaptive testing (CAT), where the difficulty of a test dynamically adjusts according to a test taker's ability, has benefits in a progress testing context, but significant resource and experience is required to develop appropriate test materials. This study describes how a transnational consortium from eight medical schools in five countries across Europe was formed to develop a computer adaptive progress test applicable across international curricula. 1,212 students from more than 40 nationalities...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial estrategias de aprendizaje estudiantes con discapacidad

Resumen:

Texto completo

Statement of problem: The students’ academic performance is influenced by a complex interplay among several factors. Traditional educational approaches often struggle to accommodate the diverse needs of students, leading to suboptimal learning outcomes. Purpose: This article aims to comprehensively understand the role of study strategies and learning disabilities in shaping academic performance. Through the integration of artificial intelligence (AI) tools, the purpose is to propose a decision support system (DSS) for recommendations to improve the educational approach. Method: To identify features with higher explanatory power based on empirical data, we employed an artificial neural...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores creencias y actitudes de los profesores

Resumen:

Texto completo

The release of ChatGPT in November 2022 has sparked discussions about integrating Generative Artificial Intelligence (GenAI) into teacher education. Teacher educators, as key facilitators of pre-service teacher learning, play a critical role in shaping the successful adoption of GenAI. Their perceptions guide curriculum redesign, define promoted practices, and shape how pre-service teachers experience educational uses of GenAI tools, potentially multiplying its impact across future classrooms.This mixed-methods study explored Danish teacher educators’ perceptions of GenAI (n = 91), focusing on its transformative potential and the knowledge pre-service teachers need to acquire. Innovative...

Ver ficha completa

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación superior

Resumen:

Texto completo

The integrative literature review addresses the conceptualization and implementation of AI Literacy (AIL) in Higher Education (HE) by examining recent research literature. Through an analysis of publications (2021–2024), we explore (1) how AIL is defined and conceptualized in current research, particularly in HE, and how it can be delineated from related concepts such as Data Literacy, Media Literacy, and Computational Literacy; (2) how various definitions can be synthesized into a comprehensive working definition, and (3) how scientific insights can be effectively translated into educational practice. Our analysis identifies seven central dimensions of AIL: technical, applicational,...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

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

Resumen:

Texto completo

Generative artificial intelligence (AI) redefines cognitive and social processes in learning environments, yet its psychological and contextual determinants in developing countries remain underexplored. This study investigates engineering students’ adoption of generative AI by integrating the Technology Acceptance Model (TAM) with the Unified Theory of Acceptance and Use of Technology (UTAUT) to develop a unified socio-cognitive framework. Survey data from 378 Bangladeshi engineering students were analysed using PLS-SEM and multi-group comparisons to evaluate structural, mediating, and demographic effects. Results demonstrate that behavioural intention is the strongest predictor of AI use,...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación

Resumen:

Texto completo

Assessment is a crucial part of education. Traditional marking is a source of inconsistencies and unconscious bias, placing a high cognitive load on the assessors. One approach to address these issues is comparative judgement (CJ). In CJ, the assessor is presented with a pair of items of work, and asked to select the better one. Following a series of comparisons, a rank for any item may be derived using a ranking model, for example, the Bradley-Terry model, based on the pairwise comparisons. While CJ is considered to be a reliable method for conducting marking, there are concerns surrounding its transparency, and the ideal number of pairwise comparisons to generate a reliable estimation of...

Ver ficha completa

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Resumen:

Texto completo

Artificial intelligence (AI) literacy education mainly targets secondary and university students, often overlooking the unique needs of younger students. This gap in AI literacy primary school education presents theoretical and pedagogical challenges. Despite the pervasive influence of AI, which can exacerbate inequalities and raise ethical challenges, primary students often lack an understanding of AI principles and mechanisms. Recent developments in age-appropriate AI learning tools have extended AI literacy to primary schools, but AI literacy frameworks for this age group remain underdeveloped. This study aims to conceptualize AI literacy by analyzing existing theoretical frameworks and...

Ver ficha completa

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial analítica del aprendizaje teorías de aprendizaje

Resumen:

Texto completo

The ability to develop new skills and competencies is a central concept of lifelong learning. Research to date has largely focused on the processes and support individuals require to engage in upskilling, re-learning or training. However, there has been limited attention examining the types of support that are necessary to assist a learner's transition from “old” workplace contexts to “new”. Professionals often undergo significant restructuring of their knowledge, skills, and identities as they transition between career roles, industries, and sectors. Domains such as learning analytics (LA) have the potential to support learners as they use the analysis of fine-grained data collected from...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial motivación aprendizaje autónomo

Resumen:

Texto completo

The rapid integration of AI-based tools in education calls for a critical assessment of how these technologies impact student engagement. This study explores the perceived effects of AI chat tools by analyzing pre- and post-semester survey data from 724 to 642 students, respectively, across diverse disciplines and demographic groups. Initially, students reported high levels of engagement in key areas such as academic self-efficacy, autonomy, interest, and self-regulation. However, by the semester's end, all these areas showed a noticeable decline. This suggests that while AI tools offer initial benefits, their long-term effectiveness in maintaining engagement may be limited due to...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Resumen:

Texto completo

The integration of generative artificial intelligence (AI) in English language teaching presents opportunities and challenges for instructors. This study explores the attitudes of higher education English language instructors towards generative AI tools, their intentions to use them and the institutional support and professional development necessary to teach and learn with them. As the field continues to evolve rapidly, it is essential to comprehend the readiness of front-line language instructors. This qualitative interpretive study seeks to identify the digital competencies and pedagogical knowledge required to implement generative AI in education and provide guidance for the design of...

Ver ficha completa