Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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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Metodología: estudio empírico

Temas: inteligencia artificial

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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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Metodología: estudio empírico

Temas: inteligencia artificial

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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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Metodología: estudio empírico

Temas: inteligencia artificial

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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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Metodología: estudio empírico

Temas: inteligencia artificial

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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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Metodología: estudio empírico

Temas: inteligencia artificial

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International large-scale assessments (ILSAs) have used graphical response-based items to measure student ability for decades, but they have yet to implement automated scoring of these responses and instead rely on human scoring alone. To investigate how scores provided by machine algorithms compare to those provided by human raters, we applied convolutional neural networks (CNNs) to classify image-based responses from eight Timss 2019 items. Our results show that the most accurate CNN models classified over 99% of the image responses into the appropriate scoring category for dichotomous items and almost 98% for one trichotomous item. Additionally, during the modeling process, the CNNs...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Since the introduction of the L2 Motivational Self System (L2MSS), numerous studies worldwide have highlighted its effectiveness in elucidating Second Language Acquisition. However, the influence of generative artificial intelligence (GenAI) technology on this model remains largely unexplored. The Technology Acceptance Model (TAM) is a widely employed framework for examining the impact of a new technology, and this study explores the intercorrelation when these two models are considered together. Conducted with 35 s-year university English as a foreign language (EFL) students in humanities, the study involved two sessions of instructor-led ChatGPT usage writing workshops, followed by the...

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Metodología: estudio empírico

Temas: inteligencia artificial

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This study examines the factors influencing user acceptance of ChatGPT as a daily reference tool and assesses varying levels of user awareness. It aims to offer valuable insights into the potential benefits and challenges of implementing ChatGPT in an educational context. To achieve this objective, we employ an integrated model comprising the Technology Acceptance Model (TAM) and four novel external constructs: Privacy, Security, Social Influence, and Trust. This proposed model delivers an in-depth understanding of user acceptance by simultaneously measuring diverse user perspectives. Adopting a quantitative research approach, the study surveys undergraduate students regarding their use of...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial intelligence (AI) has gained acceptance in the field of education. Nevertheless, existing research on AI in education, particularly in foreign language (FL) learning and teaching, is notably limited in scope and depth. In the present study, we addressed this research gap by investigating social and computer science students' perceptions of the integration and use of AI-based technologies in education, focusing specifically on foreign language teaching. Using an online questionnaire, we analysed factors such as students' field of study, gender differences, and the type of AI used. The questionnaire included statements categorised into thematic clusters, with responses measured on...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Baker et al. (2021) recently proposed using a philosophical framework to classify learning analytics research in terms of four paradigms. Here I build on their theme of reflecting on philosophical differences in different approaches to learning analytics. I first present two limitations of their classification, which raise questions for how to best classify different approaches in learning analytics. In an attempt to resolve these questions, I draw upon the bias-variance tradeoff from machine learning and show how different learning analytics approaches can be viewed in terms of their positions on the tradeoff. However, I claim that this is not enough, as we must also be attuned to the...

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