2024 | Bibliografía fecha

El objetivo de este reporte de experiencia docente es mostrar la práctica didáctica que ha representado la puesta en marcha del curso sabatino “Para entender a los mexicanos, conversemos sobre su historia”. La materia se imparte desde la perspectiva de la historia social, sobre todo a partir de una arista urbana, aunque también toma en cuenta la vertiente rural. Se muestra la manera en que hombres y mujeres de todas las edades formaron parte de los procesos históricos que constituyen la memoria colectiva mexicana. En el desarrollo de este curso el grupo de estudiantes debe realizar una serie de lecturas para que cada sesión sea más provechosa, lo cual contribuye a que mejore sus habilidades...

“ChatGPT is the companion, not enemies”: EFL learners’ perceptions and experiences in using ChatGPT for feedback in writing

Mark Feng Teng (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The present research was to bridge a research gap in comprehensively understanding students’ perceptions and experiences in utilizing ChatGPT for their writing process in English as a foreign language (EFL) context. The participants were 45 EFL learners in Macau. The study aimed to explore the potential impact of ChatGPT on writing, as well as their perceptions and experiences of ChatGPT in generating feedback for writing. A mixed-methods approach was employed, with quantitative data collected from a questionnaire and qualitative insights drawn from interviews conducted after a semester-long writing course. The findings supported the significant positive effects of AI assistance on writing...

Exploring attitudes toward ChatGPT among college students: An empirical analysis of cognitive, affective, and behavioral components using path analysis

Benicio Gonzalo Acosta-Enriquez, Carmen Graciela Arbulú Pérez Vargas, Olger Huamaní Jordan (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The advent of generative artificial intelligence (AI) applications, such as ChatGPT, has significantly impacted various aspects of human life, including higher education. This study explores university students' attitudes toward ChatGPT, focusing on the cognitive, affective, and behavioral components of attitudes, on the basis of Mitcham's philosophical framework of attitudes toward technology. A total of 595 university students from six public and private universities in northern Peru participated in an online survey. The results of the structural equation modeling (SEM) analysis revealed that the affective component (β = 0.672∗∗∗) and the cognitive component (β = 0.260∗∗) positively...

Improving EFL students’ cultural awareness: Reframing moral dilemmatic stories with ChatGPT

Yangsheng (Danson) Zheng, Nicola Stewart (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Classroom teachers are usually responsible for creating materials to meet students' needs and course requirements. The arrival of generative AI, such as ChatGPT, offers EFL teachers an opportunity to regularly collaborate with AI chatbots to create new source materials. The writing experiments in this study considered how to effectively and ethically work with generative AI to produce culturally appropriate EFL teaching materials. The experiments involved co-producing moral dilemmatic stories with ChatGPT to support a new Chinese EFL curriculum unit on “Morals and Virtues”. We draw on Lo's (2023a, 2023b) CLEAR framework for prompt engineering to generate appropriate stimulus materials. We...

Applying large language models and chain-of-thought for automatic scoring

Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates the application of large language models (LLMs), specifically GPT-3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written responses to science assessments. We focused on overcoming the challenges of accessibility, technical complexity, and lack of explainability that have previously limited the use of artificial intelligence-based automatic scoring tools among researchers and educators. With a testing dataset comprising six assessment tasks (three binomial and three trinomial) with 1,650 student responses, we employed six prompt engineering strategies to automatically score student responses. The six strategies combined zero-shot or few-...

Analyzing K-12 AI education: A large language model study of classroom instruction on learning theories, pedagogy, tools, and AI literacy

Di Wu, Meng Chen, Xu Chen (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

There is growing recognition among researchers and stakeholders about the significant impact of artificial intelligence (AI) technology on classroom instruction. As a crucial element in developing AI literacy, AI education in K-12 schools is increasingly gaining attention. However, most existing research on K-12 AI education relies on experiential methodologies and suffers from a lack of quantitative analysis based on extensive classroom data, hindering a comprehensive depiction of AI education's current state at these educational levels. To address this gap, this article employs the advanced semantic understanding capabilities of large language models (LLMs) to create an intelligent...

Exploring ChatGPT adoption among business and management students through the lens of diffusion of Innovation Theory

Alaa Amin Abdalla, Mohd Abass Bhat, Chandan Kumar Tiwari (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Purpose: this study aims to present an innovative approach (Diffusion of Innovation Theory) to investigate the adoption of ChatGPT by business and management students. The theory emphasizes integrating the variables Viz. relative advantage, compatibility, complexity, trialability, observability, attitude, and intention to adopt ChatGPT in the context of management education. Method: ology: a non-probability purposive sample of 383 students enrolled in management of Indian public and private institutions was taken to conduct survey to administer questionnaires. Partial Least Square-Structural Equation Modelling was employed to analyze the data using Smart PLS software. Findings: the findings...

Overview and confirmatory and exploratory factor analysis of AI literacy scale

Martin J. Koch, Carolin Wienrich, Samantha Straka (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Comprehensive concepts of AI literacy (AIL) and valid measures are essential for research (e.g., intervention studies) and practice (e.g., personnel selection/development) alike. To date, several scales have been published, sharing standard features but differing in some aspects. We first aim to briefly overview instruments identified from unsystematic literature research in February 2023. We identified four scales and one collection of items. We describe the instruments and compare them. We identified common themes and overlaps in the instruments and developmental procedure. We also found differences regarding scale development procedures and latent dimensions. Following this literature...

Understanding self-directed learning in AI-Assisted writing: A mixed methods study of postsecondary learners

Chaoran Wang, Zixi Li, Curtis Bonk (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates how postsecondary learners employ generative AI, specifically ChatGPT, to support their self-directed learning (SDL) for writing purposes. Following a sequential mixed methods design, we analyzed 384 survey responses and 10 semi-structured interviews with postsecondary writers. Findings suggest that the major learning task that the learners used ChatGPT for writing is brainstorming and seeking inspiration for ideas. While the entering motivation for using ChatGPT varies from curiosity about innovative technologies to fulfilling academic requirements, such entering motivation transformed into task motivation when the learners perceived the potential benefits of...

Assessing the proficiency of large language models in automatic feedback generation: An evaluation study

Wei Dai, Yi-Shan Tsai, Jionghao Lin (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Assessment feedback is important to student learning. Learning analytics (LA) powered by artificial intelligence exhibits profound potential in helping instructors with the laborious provision of feedback. Inspired by the recent advancements made by Generative Pre-trained Transformer (GPT) models, we conducted a study to examine the extent to which GPT models hold the potential to advance the existing knowledge of LA-supported feedback systems towards improving the efficiency of feedback provision. Therefore, our study explored the ability of two versions of GPT models – i.e., GPT-3.5 (ChatGPT) and GPT-4 – to generate assessment feedback on students' writing assessment tasks, common in...