inteligencia artificial

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Existing Predictive Learning Analytics (PLA) systems utilising machine learning models show they can improve teacher practice and, at the same time, student outcomes. The accuracy, and related errors, of these systems can negatively influence their adoption. However, little effort has been made to investigate the errors made by the underlying models. This study focused on errors of models predicting students at risk of not submitting their assignments. We analysed two groups of error when the model was confident about the prediction: (a) students predicted to submit their assignment, yet they did not (False Negative; FN), and (b) students predicted not to submit their assignment yet they...

Epistemic network analysis of in-service teachers’ competency to teach artificial intelligence for secondary education

King Woon Yau, Tianle Dong, Ching Sing Chai (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Teachers play a vital role in driving successful artificial intelligence (AI) education. Research on teachers' competency to teach AI (TCAI) is still limited. This study investigated the progression of in-service teachers' AI competency with the Technological Pedagogical Content Knowledge (TPACK) framework using Epistemic Network Analysis (ENA). Seven secondary school teachers who engaged in an AI education project were interviewed over a three-year period of curriculum development and implementation. The differences in ENA patterns in various stages indicated an evolution of teachers’ TPACK over the years. The ENA results also revealed different patterns between experienced and less...

Immersive multi-modal pedagogical conversational artificial intelligence for early childhood education: An exploratory case study in the wild

Sinem Aslan, Lenitra M. Durham, Nese Alyuz (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Educational technology research has found that parents of young children widely share concerns about extended screen time, lack of physical activity, and lack of social interaction. Kid Space was developed to address these concerns by enabling multi-modal and immersive collaborative play-based learning. Kid Space utilizes multiple sensing technologies with an immersive physical space through a human-scale wall projection and incorporates a conversational AI agent to interact with children, understand individual progress, and personalize learning experiences in a blended physical and digital environment. To evaluate Kid Space in the wild, we conducted a multi-method user study involving a...

Generative AI in high school English career preparation units: Student interactions, perceptions, and ethical concerns

Kyungbin Kwon, Sohheon Yang, Ugur Kale (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rapid integration of generative AI into K–12 education presents both opportunities and challenges for supporting students’ learning. This mixed-methods case study examined how high school students interacted with an AI-enhanced resume writing unit and a text-based mock interview unit within an English Language Arts course. Quantitative results indicated students’ positive perceptions of AI utility across constructs of awareness, usage, evaluation, and ethics. Qualitative analysis revealed that students used AI to explore career information, generate and refine resume content, and iteratively revise and refine interview responses. While many students engaged critically—questioning,...

Can AI provide useful holistic essay scoring?

Tamara P. Tate, Jacob Steiss, Drew Bailey (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Researchers have sought for decades to automate holistic essay scoring. Over the years, these programs have improved significantly. However, accuracy requires significant amounts of training on human-scored texts—reducing the expediency and usefulness of such programs for routine uses by teachers across the nation on non-standardized prompts. This study analyzes the output of multiple versions of ChatGPT scoring of secondary student essays from three extant corpora and compares it to quality human ratings. We find that the current iteration of ChatGPT scoring is not statistically significantly different from human scoring; substantial agreement with humans is achievable and may be...

Exploring the design of LLM-powered question generation for deaf and hard of hearing learners

Si Chen, Shuxu Huffman, Qingxiaoyang Zhu (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Fostering student competencies and perceptions through artificial intelligence of things educational platform

Sasithorn Chookaew, Pornchai Kitcharoen, Suppachai Howimanporn (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The growing demand for artificial intelligence (AI) skills across various sectors has enhanced AI-focused careers and shaped academic exploration in educational institutions. These institutions have been actively developing teaching methods that enhance practical AI applications, particularly through integrating AI with the Internet of Things (IoT), leading to the emergence of the Artificial Intelligence of Things (AIoT). This convergence promises significant advancements in AI education, addressing gaps in structured learning methods for AIoT. This study explored AIoT's application in Smart Farming (SF) and its potential to enrich AI education and sectoral advancements. The AIoT platform...

When the algorithm enters the classroom: A critical integrative review of large language models, nursing education structural gaps, and the reconstitution of professional identity

Yanjie Sun, Hongzhou Li, Xiaohui Tao (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Large language models (LLMs) are being integrated into nursing education at a pace that outstrips the field's capacity to evaluate their consequences. Existing syntheses have mapped what LLMs can do in nursing contexts. Among those identified in this review, none has examined how their integration affects the professional development processes through which nursing expertise is formed. This critical integrative review addresses that gap.Following Whittemore and Knafl’s (2005) five-stage framework, we systematically searched four databases (PubMed/MEDLINE, Web of Science, Scopus, CINAHL) for studies published between January 2017 and December 2025, yielding 489 included studies from 47...

Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children’s structural and functional categorization

MuhammadAzeem Abbas, Gwo-Jen Hwang, Saheed Ajayi (2021)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The recent decade has seen increased attention focused on understanding category formation–a cognition ability of preschool aged children. Children organize their knowledge about real-world objects by categorizing them under some common properties or functions. The advancement and popularity of mobile devices with touch screens provide a good opportunity for young children to learn and practice. In this study, an approach that models structural and functional categorization knowledge for developing mobile learning systems with dynamic categorization exemplars is proposed. A mobile application was implemented based on the proposed model for pre-schoolers (aged 3–6 years). Moreover, the quasi...

The influence of AI literacy on complex problem-solving skills through systematic thinking skills and intuition thinking skills: An empirical study in Thai gen Z accounting students

Watcharawat Promma, Narinthon Imjai, Berto Usman (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rapid integration of artificial intelligence (AI) into various sectors has heightened the need for understanding its impact on cognitive and problem-solving skills. This study investigates the influence of AI literacy (AIL) on complex problem-solving skills (CPS) by examining the mediating roles of systematic thinking skills (STS) and intuitive thinking skills (ITS) among Generation Z accounting students in Thailand. Utilizing structural equation modeling (SEM) to analyze the relationships between these constructs, the research draws on a sample of 420 final-year undergraduate accounting students from both public and private universities, selected through convenience sampling. The...