Computers & Education: Artificial Intelligence

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa evaluación

Resumen:

Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd...

Empowering learners for the age of artificial intelligence

Dragan Gašević, George Siemens, Shazia Sadiq (2023)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating AI-driven systems in education. However, the challenges related to the growing influence of AI in the society, calls for revisiting research foundations of AI in education in order to inform decision-making in policy and guide future research. This special issue of Computers & Education: Artificial Intelligence brings 11 papers that explore the theme of empowering learners for the age of AI...

A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university

Chunpeng Zhai, Santoso Wibowo (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial chatbots enseñanza/aprendizaje de lenguas

Resumen:

Previous studies demonstrate that the use of artificial intelligence (AI) dialogue systems for English as a Foreign Language (EFL) education has effectively improved university students' reading, writing, and listening abilities. However, there are limited systematic reviews focused on the evidence-based interactional competence of EFL university students. This study aims to examine the use of AI dialogue systems to enhance EFL university students' interactional competence. Through the PRISMA process, this study identified 28 articles published between January 2013 and August 2022 in journals and conferences from the most popular databases, including Google Scholar, ProQuest, IEEE,...

Myths, mis- and preconceptions of artificial intelligence: A review of the literature

Arne Bewersdorff, Xiaoming Zhai, Jessica Roberts (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational programs in the field of AI, it is vital to examine and understand learners' pre- and misconceptions as well as myths about AI. This study examined a corpus of 591 studies. 25 relevant studies were identified by applying the following eligibility criteria: English-written original empirical research on education and AI and reporting AI conceptions in a formal learning context. The review found studies from six continents, with the majority conducted in Europe and North...

Empowering educators to be AI-ready

Rosemary Luckin, Mutlu Cukurova, Carmel Kent (2022)

Computers & Education: Artificial Intelligence 3

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial formación de profesores alfabetización en IA

Resumen:

In this paper, we present the concept of AI Readiness, along with a framework for developing AI Readiness training. ‘AI Readiness ’ can be framed as a contextualised way of helping people to understand AI , in particular, data-driven AI. The nature of AI Readiness training is not the same as merely learning about AI. Rather, AI Readiness recognises the diversity of the professions, workplaces and sectors for whom AI has a potential impact. For example, AI Readiness for lawyers may be based on the same principles as AI Readiness for Educators. However, the details will be contextualised differently. AI Readiness recognises that such contextualisation is not an option: it is essential...

Opportunities, challenges and school strategies for integrating generative AI in education

Davy Tsz Kit Ng, Eagle Kai Chi Chan, Chung Kwan Lo (2025)

Computers & Education: Artificial Intelligence 8

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Resumen:

The increasing accessibility of Generative Artificial Intelligence (GenAI) tools has led to their exploration and adoption in education. This qualitative study investigates the opportunities and challenges associated with integrating GenAI in education, and the strategies that encourage teachers and students to embrace GenAI in school settings. We recruited 76 educators in Canada to participate in a professional training seminar about GenAI and expressed their views through online surveys. Through written reflections, an optimistic outlook on GenAI's role in education was identified among the teachers, and some discipline-specific ideas were proposed. Thematic analysis reveals three key...

Artificial intelligence in higher education: Modelling the antecedents of artificial intelligence usage and effects on 21st century employability skills among postgraduate students in Ghana

Moses Segbenya, Brandford Bervell, Evans Frimpong-Manso (2023)

Computers & Education: Artificial Intelligence 5

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Tipo: artículo

Metodología: estudio empírico

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

Resumen:

The utilisation of Artificial Intelligence (AI) in higher education has been a contemporary issue attracting varied perspectives. However, the nuances among the antecedents of AI usage among postgraduate students and the acquisition of 21st-century employability skills are under-researched. This study sought to fill the chasm by adopting a concurrent integrated mixed method to collect data using a questionnaire with closed-ended and open-ended items from 294 postgraduate students in Ghana. Descriptive statistics and partial least squares structural equation modelling (PLS-SEM) techniques were employed for the quantitative data analyses while thematic pattern matching was used to analyse the...

Social and cognitive drivers of generative AI adoption: A unified socio-cognitive model for engineering education

Mazen Abdulwahab Asag, Md Abdullah Al Mamun (2026)

Computers & Education: Artificial Intelligence 10

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Tipo: artículo

Metodología: estudio empírico

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

Resumen:

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,...

Designing a model of sustainable education based on artificial intelligence in higher education

kamran Bagherimajd, Kosar khajedad (2025)

Computers & Education: Artificial Intelligence 9

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial sostenibilidad educación superior

Resumen:

Artificial intelligence (AI) in higher education (HE) plays a role in promoting the sustainability of society by fostering innovation and preparing students for the digital age. In this regard, the aim of the present research has been to design an AI-based sustainable education (SE) model in HE. The research method was a monomethod design with multiple sequential, qualitative and qualitative phases. In the first part of the qualitative section, the meta-synthesis approach has been used in accordance with the findings of Springer, Emerald, and Elsevier international journals from 2000 to 2024. A total of 213 articles were reviewed and 39 articles were entered the final analysis. In the...

To fear or not to fear – Human resource development professionals’ positioning towards artificial intelligence with a focus on augmentation

Josef Guggemos (2024)

Computers & Education: Artificial Intelligence 7

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores competencia digital

Resumen:

Artificial intelligence (AI) has far-reaching implications for education. Within organizations, especially companies, human resource development (HRD) enables and supports learning processes among employees. In a similar way to teachers and lecturers, HRD professionals play an important role in implementing AI in HRD. However, there is a lack of quantitative empirical evidence about this process. The aim of this paper is to shed light on how HRD professionals position themselves with respect to AI. The concept of Davenport and Kirby's augmentation strategies, adapted to HRD, act as the theoretical background. The core idea of augmentation lies in human-AI collaboration. In our study, we...