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  • 2024

Bibliografía: 2024

Nº de publicaciones: 430
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Teachers’ generative AI self-efficacy, valuing, and integration at work: Examining job resources and demands
Rebecca J. Collie, Andrew J. Martin, Dragan Gaševiฤ‡ (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Generative AI (genAI) tools have involved rapid and broad uptake since their wide release in late 2022, including among teachers. We investigated several factors that play a role in teachers’ motivation and engagement to harness genAI in teaching and learning. We examined contextual factors (in-school support to apply genAI, time pressure, disruptive student behavior) as predictors of motivation (genAI self-efficacy and genAI valuing) and, in turn, engagement (i.e., genAI integration in teaching-related work and student learning activities) over the course of one school term. Among 368 Australian primary and secondary school teachers, our findings revealed that genAI support was associated...

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Large language models and automated essay scoring of English language learner writing: Insights into validity and reliability
Austin Pack, Alex Barrett, Juan Escalante (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Advancements in generative AI, such as large language models (LLMs), may serve as a potential solution to the burdensome task of essay grading often faced by language education teachers. Yet, the validity and reliability of leveraging LLMs for automatic essay scoring (AES) in language education is not well understood. To address this, we evaluated the cross-sectional and longitudinal validity and reliability of four prominent LLMs, Google's PaLM 2, Anthropic's Claude 2, and OpenAI's GPT-3.5 and GPT-4, for the AES of English language learners' writing. 119 essays taken from an English language placement test were assessed twice by each LLM, on two separate occasions, as well as by a pair of...

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The effects of chatbot use on foreign language reading anxiety and reading performance among Chinese secondary school students
Shuyan Zheng (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The present study investigates the effectiveness of a GenAI-based chatbot, “Reading Bot,” in reducing foreign language reading anxiety (FLRA) and improving foreign language reading performance (FLRP) among Chinese secondary school students learning English as a foreign language (EFL). To do so, a mixed-methods quasi-experimental pre-test/post-test design with qualitative interviews was employed. After ensuring homogeneity between the two groups, one class was designated as the experimental group (n = 42), utilizing a chatbot as a treatment, while the other class served as the comparison group (n = 42), receiving traditional teacher support. Both groups participated in five 45-min reading...

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Artificial intelligence literacy in primary education: An arts-based approach to overcoming age and gender barriers
Iris Heung Yue Yim (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) literacy education was previously taught primarily at the university and secondary school levels but has recently started to be expanded to primary school settings. When available at the primary school level, AI literacy is often taught within computer science courses, which may potentially reinforce gender stereotypes and discourage female students' engagement. In AI literacy education, the predominant teaching methods are constructivist approaches, which, while effective in fostering active learning, heavily emphasize technical skills and are therefore limited in their pedagogical scope, as they underplay other important questions, such as disinformation, data...

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Teachers’ motivation and engagement to harness generative AI for teaching and learning: The role of contextual, occupational, and background factors
Rebecca J. Collie, Andrew J. Martin (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Since their release in late 2022, generative AI (genAI) tools have led to widespread use, including among teachers. The aim of our study is to examine several factors that may be implicated in teachers' motivation and engagement to harness genAI in teaching and learning. We examined contextual (i.e., autonomy-supportive leadership, autonomy-thwarting leadership), occupational experience (i.e., professional growth striving, change-related stress), and background factors (i.e., gender, age, teaching experience, contract length, class size, school level) as predictors of motivation (i.e., genAI valuing) and, in turn, engagement (i.e., integration in teaching-related work and student learning...

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Literacidad visual crítica en el aula de español: implicaciones para su fomento y autoevaluación
Denise Holguín Vaca, Ana Castaño Arques, Marta García-Balsas (2024)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: alfabetización

Resumen:

Texto completo

Ante la escasez de estudios empíricos en relación con el componente crítico y su evaluación en el ámbito del aprendizaje de lenguas, este estudio examina el impacto de la autoevaluación en el desarrollo de la literacidad visual crítica (LVC) en el contexto de aprendizaje en línea del español como lengua adicional. La investigación se centra en una intervención didáctica que incorpora diversas herramientas para el fomento y la autoevaluación de la LVC y analiza los portafolios de aprendizaje de estudiantes de español de nivel B2 (según el MCER) como herramienta central para la práctica y autoevaluación de la LVC. Los resultados revelan que, al permitir a los estudiantes reflexionar sobre su...

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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)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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What motivates future teachers? The influence of Artificial Intelligence on student teachers' career choice
Judit Martínez-Moreno, Dominik Petko (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence in Education (AIEd) is reshaping not only the educational landscape but also potentially influencing the motivations of aspiring teachers. This paper explores whether considerations related to AIEd play a role in student teachers' decision to become teachers. For this aim, the study introduces a new AI subscale within the (D)FIT-Choice scale's Social Utility Value (SUV) factor and validates its effectiveness with a sample of 183 student teachers. Descriptive statistics reveal high mean scores for traditional motivators like Intrinsic Value Teaching, while AI-related factors, although considered, exhibit lower influence. A noticeable disconnection exists between...

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The role of ChatGPT readiness in shaping language teachers' language teaching innovation and meeting accountability: A bisymmetric approach
Amir Reza Rahimi, Ana Sevilla Pavón (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

There are some dichotomies surrounding ChatGPT's application and impact on education as a central part of artificial intelligence (AI) integration. Problems concerning negative preconceptions and the limited usage of this form of AI have been reported, as some teachers perceive it as a competitor. This is due to insufficient readiness for its integration and a lack of understanding of how it can facilitate teaching innovation. Due to this, the researchers applied a bisymmetric approach, where necessity conditional analysis (NCA) as a symmetrical approach employs necessity logic to identify the must-have factors required for language teachers' passing accountability, while PLS-SEM as an...

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Which features of AI-based tools are important for students? A choice-based conjoint analysis
Jörg von Garrel, Jana Mayer (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

AI-based language tools such as ChatGPT have the potential to fundamentally change studying and teaching at universities. Since there have been few empirical studies on the use of AI systems by students, this article aims to analyze the use of AI in higher education. In particular, it focuses on identifying features that are important to students when using AI during their studies. For this purpose, a choice-based conjoint experiment was conducted through a survey involving over 6300 participants from German universities. The results show that students attach particular importance to the degree of scientific rigor. The optimal package for an AI-based tool for studying includes the citation...

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