Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Despite the advancement of Chatbot technology, little is known about its affordances for language learning, especially in the context of Malaysian higher education institutions. Adapting the Push-Pull Mooring-Habit (PPMH) theoretical framework, this mixed-methods study examined Malaysian university students' experience in using Chatbots for English language learning, focusing on four main aspects; Performance Expectancy, Effort Expectancy, Social Isolation and Covid-19 Fear. A total of 360 undergraduate students from three public universities in Malaysia completed the questionnaire after being engaged with chatbots for three months. Twenty of them were also interviewed for an in-depth...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Deaf and Hard of Hearing (DHH) learners face unique learning challenges, often due to a lack of customized educational materials that address their specific needs. This study explores the potential of Large Language Models (LLMs) to generate personalized quiz questions to enhance the video-based learning experiences of DHH students. We iteratively designed, developed, and evaluated a prototype that combines LLMs to generate questions with the characteristics of the DHH learners in focus. The two unique question generation strategies include Visual Questions, which identify video segments where visual information might be misinterpreted, and Emotion Questions, which highlight moments where...

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Tipo: artículo

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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Tipo: artículo

Metodología: estudio empírico

Temas: pronombres

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In the Spanish-as-a-foreign-language class, there is a vast amount of classroom instruction (and textbook attention) dedicated to verbs, assuming that this is the most difficult issue for native English speakers to learn. A research study was carried out to confirm this common assumption. Error analysis was used and a lexico-grammatical taxonomy was created to count, identify, describe and classify the written errors found in ninety unaided compositions from 2nd-, 3rd-, and 4th-semester courses. Surprisingly, the category with the highest internal error rate in 2nd- and 4th-semester courses and the second highest in 3rdsemester courses was pronouns. A description of errors by type and...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Based on practical experiences, news articles, and subjective reports, a significant proportion of high school students complete their writing assignments (essays) using ChatGPT or other text-generating software. However, to the best of our knowledge, there is a very limited amount of work on this topic. Therefore, our study has two objectives. First, through human coding, we determine whether student essays submitted as homework were created by humans or software, and second, we examine these essays' sentiment and authorship, as well as factors determining the use of artificial intelligence in learning. Data collection was conducted in April and May 2024 across thirty classes from twenty...

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Tipo: artículo

Metodología: estudio empírico

Temas: Google Translate

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This article presents the results of a longitudinal study of digital writing strategies and vocabulary development among Swedish upper secondary school pupils of Spanish as a foreign language. During one schoolyear, the pupils (N=31) wrote four essays in Spanish, a pre-test and a post-test. 15 pupils used a printed dictionary as translation tool, 16 used Google Translate (GT). Vocabulary development was measured as the change in lexical diversity from pre-test to post-test, using Guiraud’s index. The results show that the use of GT leads to higher degrees of lexical diversity as long as it is used, but that the effect vanishes when the tool is no longer used. The results point to the need...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The use of standardized test formats in the assessment of historical competencies has recently come under severe criticism, especially in the United States, where standardized tests are particularly common. History researchers have argued that open-ended items are more appropriate for assessment. However, providing largescale evaluations of open-ended answers is time consuming and poses challenges regarding the objectivity, validity, and replicability of ratings. To address this issue, we investigated the extent to which computer-based evaluation methods are suitable for evaluating student answers by combining qualitative methods from history education research with quantitative, computer-...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Student engagement, widely recognised as a key determinant of learning outcomes, warrants greater attention to its antecedent mechanisms for effective learning design. As LLM-based chatbots (hereafter chatbot) are increasingly used to support student learning, understanding what drives student engagement in such environments becomes especially important. Guided by appraisal theory, this study proposes a theoretically grounded model of students' engagement in chatbot-supported learning. Unlike prior studies that focus on isolated antecedents, the model integrates learners’ capacity appraisals, including technology-related (GenAI competency) and task-related (academic self-efficacy)...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Writing proficiency is an essential skill for upper secondary students that can be enhanced through effective feedback. Creating feedback on writing tasks, however, is time-intensive and presents a challenge for educators, often resulting in students receiving insufficient or no feedback. The advent of text-generating large language models (LLMs) offers a promising solution, namely, automated evidence-based feedback generation. Yet, empirical evidence from randomized controlled studies about the effectiveness of LLM-generated feedback is missing. To address this issue, the current study compared the effectiveness of LLM-generated feedback to no feedback. A sample of N = 459 upper secondary...

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