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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Beginning and first-year language teachers’ readiness for the generative AI age
Benjamin Luke Moorhouse (2024)
Computers & Education: Artificial Intelligence 6
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado formación de profesores

Resumen:

Texto completo

The public release of ChatGPT in November 2022 ignited an intense debate about the effects generative AI (GAI) tools will have on language teaching. The advanced capability of GAI tools and their rapid uptake by students has brought both challenges and opportunities to language teachers. This qualitative study, using in-depth individual and group interviews with ten beginning teachers and seventeen first-year English language teachers, explored their readiness for using GAI tools in their professional work and their perceptions of GAI in language teaching. The study found that first-year teachers were generally ready for the use of GAI tools and could recognize its potential to support...

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Play with AI (PL-AI): A play-centered, design-based curriculum for AI literacy in pre-K and kindergarten
Joohi Lee (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación infantil

Resumen:

Texto completo

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...

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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
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

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

Resumen:

Texto completo

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...

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How to train your dragon: Evaluating prompting and fine-tuning for GPT-based item generation in L2 listening assessment
Vahid Aryadoust, Joann Wong (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial comprensión oral evaluación

Resumen:

Texto completo

Recent advances in large language models (LLMs), notably GPT models, have introduced new possibilities for automatic item generation (AIG) through prompt engineering. Although iterative prompt refinement can yield measurable improvements, this process eventually plateaus, as outputs remain inconsistent or misaligned with assessment constructs. This study reports an experimental comparison of prompting and fine-tuning to advance AIG for L2 listening assessment. First, we employed prompting and refined the instruction design over three successive iterations to determine an optimized prompt. We then fine-tuned GPT-4.1 using the same optimized prompt, holding prompt design constant to isolate...

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Strengthening students’ research efficacy in higher institutions. A joint mediating effect of the impact of Artificial intelligence using Partial Least Squares Structural Equation Modelling (PLS-SEM)
Usani Joseph Ofem, Ene I. Ene, Eunice Ngozi Ajuluchukwu (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior metodología de investigación

Resumen:

Texto completo

Research efficacy is a vital contributor to enhancing research productivity within higher education institutions. Despite its importance, there has been limited focus on understanding this construct and its enablers. This study addresses this gap by exploring research efficacy through the lens of artificial intelligence (AI) utilization among students. The findings reveal that AI utilization has a significant positive impact on various dimensions of research efficacy, including background, review, methodological, analytical, and reporting efficacy. Additionally, review efficacy is shown to significantly influence background, methodological, and reporting efficacy, while it does not impact...

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Assessing reading fluency in elementary grades: A machine learning approach
Gabriel Candido da Silva, Rodrigo Lins Rodrigues, Américo N. Amorim (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial comprensión lectora alfabetización

Resumen:

Texto completo

This study compares eleven widely used machine learning algorithms to identify the most accurate and comprehensive method for assessing children's reading fluency. Our fluency framework integrates three key dimensions: accuracy in word decoding, reading speed (words per minute), and prosody, which captures appropriate pausing and intonation during reading. Audio recordings from 2nd and 3rd grade students across 144 Brazilian schools were transcribed using the advanced Whisper ASR system, enabling automated extraction of fluency features. The research objective was to determine which algorithm best predicts fluency, considering diverse evaluation setups including binary classification (...

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A systematic review of ontology use in E-Learning recommender system
Nur W. Rahayu, Ridi Ferdiana, Sri S. Kusumawardani (2022)
Computers & Education: Artificial Intelligence 3
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa enseñanza en línea e híbrida

Resumen:

Texto completo

Ontology and knowledge-based systems typically provide e-learning recommender systems. However, ontology use in such systems is not well studied in systematic detail. Therefore, this research examines the development and evaluation of ontology-based recommender systems. The study also discusses technical ontology use and the recommendation process. We identified multidisciplinary ontology-based recommender systems in 28 journal articles. These systems combined ontology with artificial intelligence, computing technology, education, education psychology, and social sciences. Student models and learning objects remain the primary ontology use, followed by feedback, assessments, and context...

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Investigating the mediating role of TPACK on teachers’ AI competency and their teaching performance in higher education
Xiao Tan, Gary Cheng, Man Ho Ling (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado alfabetización en IA

Resumen:

Texto completo

The growing integration of artificial intelligence (AI) in education has significantly influenced teachers' professional development. While AI offers substantial support for teaching practices and serves as a powerful instructional aid, it also places greater demands on teachers, prompting an urgent need for role transformation and skill enhancement. Therefore, the interplay among teachers' AI competency, technological pedagogical content knowledge (TPACK), and teaching performance has emerged as a critical area of research. This study employed a mixed-methods approach, combining questionnaire surveys with classroom observations, to assess the AI competency, TPACK levels, and teaching...

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To GPT or not GPT? Empowering our students to learn with AI
Jennifer L. Steele (2023)
Computers & Education: Artificial Intelligence 5
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial ChatGPT pensamiento crítico

Resumen:

Texto completo

I argue that ChatGPT and other generative artificial intelligence tools pose three main threats to our current education systems, creating problems of measurement, information accuracy, and skill devaluation. But when we place these threats into historical context, we see that AI tools can also empower students and level the educational playing field. In classrooms from primary to tertiary and spanning all content areas, we can help our students become critical thinkers by using ChatGPT to comprehend texts, aggregate knowledge, and understand genre conventions in prose as well as programming. The aim is to help students leverage AI as a tool that they question and critique, advancing their...

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Seeking knowledge or efficiency: Profiling students’ AI-use through survey-based latent class analysis
Mattias W. Hugerth, Luisa W. Hugerth (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación primaria y secundaria creencias y actitudes de los estudiantes

Resumen:

Texto completo

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...

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