inteligencia artificial

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Since it was released in November 2022, ChatGPT has been exerting revolutionary influence on the realm of higher education. In order to obtain a comprehensive understanding of the research landscape, we conduct a systematic literature review on the studies of ChatGPT used in higher education. Both quantitative and qualitative methods were adopted to bibliometrically examine the included literature selected from Web of Science and Scopus through the PRISMA protocol. Tools of VOSviewer and CitNetExplorer were employed to visualize the citation information. Our findings showed that the recent two years witnessed an ever-growing popularity of this research theme. Citation information analysis...

Artificial intelligence, job seeker, and career trajectory: How AI-based learning experiences affect commitment of fresh graduates to be an accountant?

Agung Maulana, Rakotoarisoa Maminirina Fenitra, Slamet Sutrisno (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Integrating Artificial Intelligence (AI) into the accounting professions is reshaping traditional roles and skill requirements, prompting a reassessment of how graduates are prepared for these changes. However, a significant gap exists in understanding how AI-based learning in higher education curricula influences graduates' readiness and commitment to be accountants. Addressing this gap, this study aims to answer two pivotal questions: how do AI learning experiences affect AI self-efficacy and career commitment, and how do literacy, motivations, and competency factors mediate this relationship? This study grounds in Self-determination Theory (SDT) and Social Cognitive Career Theory (SCCT)...

Artificial intelligence in early childhood education: A scoping review

Jiahong Su, Weipeng Yang (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Artificial intelligence (AI) tools are increasingly being used in the field of early childhood education (ECE) to enhance learning and development among young children. Previous proof-of-concept studies have demonstrated that AI can effectively improve teaching and learning in ECE; however, there is a scarcity of knowledge about how these studies are conducted and how AI is used across these studies. We conducted this scoping review to evaluate, synthesize and display the latest literature on AI in ECE. This review analyzed 17 eligible studies conducted in different countries from 1995 to 2021. Although few studies on this critical issue have been found, the existing references provide up-...

Machine learning role playing game: Instructional design of AI education for age-appropriate in K-12 and beyond

Yusuke Kajiwara, Ayano Matsuoka, Fumina Shinbo (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The study on K-12 artificial intelligence (AI) education poses three challenges: ''(i) What topics in the machine learning (ML) process should be hidden from K-12 students?” '' (ii) How do you teach K-12 students the mathematical model behind the ML process?” and '' (iii) How does AI education influence the acceptance of AI technology?”. This paper addresses challenges (i) to (iii). We developed a machine learning role-playing game (ML-RPG) and had 166 participants from lower grades of elementary school to the elderly use it. Participants used ML-RPG to role-play the ML process of acquiring data, representing data with graphs, inferencing based on if-then rules, and optimizing parameters...

Towards responsible AI in education: A Delphi-AHP-based framework for evaluating educational large language models

Pingrong Lin, Qin Deng, Yanbian Zhou (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

As large language models (LLMs) become deeply integrated into the educational landscape, evaluation criteria focusing solely on performance are insufficient to mitigate the risks of value misalignment and socioethical concerns. To steer educational LLMs towards responsible and beneficial development, this study aims to construct a multidimensional evaluation framework grounded in educational theory. Initially, a preliminary pool of evaluation indicators was established on the basis of a review of the literature and pedagogical theories. The Delphi method was subsequently employed to refine the indicator structure by integrating opinions from 21 cross-disciplinary experts. The analytic...

Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy

Jane Southworth, Kati Migliaccio, Joe Glover (2023)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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Artificial Intelligence (AI) is a ubiquitous concept and tool already found across society and an integral part of everyday life. As such, basic understanding and knowledge of AI should be a critical component of student education to foster successful global citizens. This position paper describes one possible path to address potential gaps in AI education and integrate AI across the curriculum at a traditional research university. The University of Florida (UF) is infusing AI across the curriculum and developing opportunities for student engagement within identified areas of AI literacy regardless of student discipline. The AI Across the Curriculum initiative being developed at UF...

Using convolutional neural networks to automatically score eight TIMSS 2019 graphical response items

Lillian Tyack, Lale Khorramdel, Matthias von Davier (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Coauthorship integrity: Reconceptualising assessment validity for the age of generative artificial intelligence

Mohsen Ebrahimzadeh, Antonette Shibani, Simon Buckingham Shum (2026)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

We consider how a future of pervasive human/AI coauthorship challenges current notions of validity and academic integrity. Specifically, we address widespread concerns that in non-proctored contexts, students are using generative artificial intelligence (GenAI) to submit texts they do not understand. Adopting an assessment validity lens, we show how GenAI undermines the integrity of multiple forms of validity evidence, leading us to propose Coauthorship Integrity as a new conceptual source of validity evidence for addressing these threats. Coauthorship Integrity is violated when students submit AI-generated content that they do not understand. To hold students accountable in this regard, a...

Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization

Jerry Huang, Atsushi Mizumoto (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Towards the implementation of automated scoring in international large-scale assessments: Scalability and quality control

Ji Yoon Jung, Lillian Tyack, Matthias von Davier (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Even before the age of artificial intelligence, automated scoring received considerable attention in educational measurement. However, its application to constructed response (CR) items in international large-scale assessments (ILSAs) has remained a challenge, primarily due to the difficulty of handling multilingual responses spanning many languages. This study addresses this challenge by investigating two machine learning approaches — supervised and unsupervised learning — for scoring multilingual responses. We explored various scoring methods to assess three science CR items from TIMSS 2023 across all participating countries and 42 languages. The results showed that the supervised...