integridad académica

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigated what pre-service teachers should learn about generative artificial intelligence (GenAI) by backtracking from anticipated classroom dilemmas to teacher-education design needs. Through qualitative interviews with 17 pre-service teachers at a Hong Kong university, the research explored perspectives on integrating AI into education, focusing on ethical concerns and pedagogical strategies. Grounded in the interpretivist paradigm, it revealed concerns about academic integrity, privacy and the challenge of maintaining essential human skills in a GenAI-driven educational environment. Although pre-service teachers recognised GenAI's potential to enhance teaching and learning...

The rapid rise of generative AI and its implications for academic integrity: Students’ perceptions and use of chatbots for assistance with assessments

Jan Henrik Gruenhagen, Peter M. Sinclair, Julie-Anne Carroll (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rapid adoption of generative AI tools such as ChatGPT by students has the potential to disrupt the higher education sector, with concerns being raised by academics about potential threats to academic integrity. This paper contributes to the pressing discussion about responses to AI tools by examining students' perceptions and the use of generative AI to assist them with assessments. Based on a survey among 337 Australian university students, this study found that more than a third of students have used a chatbot for assistance with an assessment, and do not necessarily perceive this as a breach of academic integrity. The study further investigated to what extent different psychosocial...

Academic cheating with generative AI: Exploring a moral extension of the theory of planned behavior

Dongpeng Huang, Nicole Hash, James J. Cummings (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

As generative artificial intelligence (GenAI) tools become increasingly integrated into educational environments, concerns have emerged about their potential to facilitate academic dishonesty. Drawing on the modified theory of planned behavior, this study aimed to understand undergraduate students’ academic cheating behaviors using GenAI. The study conducted a mixed-method approach, utilizing focus groups and polls to gather insights from 25 undergraduate students enrolled in a course that incorporated GenAI into its pedagogical design in the United States. The results revealed that the integration of GenAI into higher education is perceived as inevitable. While students clearly recognized...

Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances

Margherita Bernabei, Silvia Colabianchi, Andrea Falegnami (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The accessibility of advanced Artificial Intelligence-based tools, like ChatGPT, has made Large Language Models (LLMs) readily available to students. These LLMs can generate original written content to assist students in their academic assessments. With the rapid adoption of LLMs, exemplified by the popularity of OpenAI's ChatGPT, there is a growing need to explore their application in education. Few studies examine students' use of LLMs as learning tools. This paper focuses on the application of ChatGPT in engineering higher education through an in-depth case study. It investigates whether engineering students can generate high-quality university essays with LLMs assistance, whether...

Applying psychometric methods to distinguish between human and generative AI responses to multiple-choice assessments

Alona Strugatski, Giora Alexandron (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The growing use of generative AI (GenAI) tools like ChatGPT raises serious concerns about academic integrity, especially in the context of assessments. While detection efforts have focused on open-ended responses, multiple-choice questions (MCQs), which are common in high-stakes testing, remain largely overlooked, partly due to their perceived detection difficulty. The present work establishes a theoretical and empirical foundation for applications of psychometric theory to separate GenAI and human responses. Specifically, it investigates whether person-fit statistics (PFS), a class of methods within Item Response Theory (IRT) used to evaluate how well an examinee’s response pattern fits...

AI in essay-based assessment: Student adoption, usage, and performance

David Smerdon (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rise of generative artificial intelligence (AI) has sparked debate in education about whether to ban AI tools for assessments. This study explores the adoption and impact of AI tools on an undergraduate research proposal assignment using a mixed-methods approach. From a sample of 187 students, 69 completed a survey, with 46 (67%) reporting the use of AI tools. AI-using students were significantly more likely to be higher-performing, with a pre-semester average GPA of 5.46 compared to 4.92 for non-users (7-point scale, p = .025). Most students used AI assistance for the highest-weighted components of the task, such as the research topic and methods section, using AI primarily for...

Trajectories of AI policy in higher education: Interpretations, discourses, and enactments of students and teachers

Jack Tsao (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Generative artificial intelligence (GenAI) in higher education has introduced a spectrum of ethical challenges, significantly impacting learning outcomes, pedagogies, and assessments. Based on the experiences and perspectives of students and teachers at a research-intensive university in Hong Kong, the study draws on qualitative interview data with 58 undergraduate and graduate students and 12 teachers conducted in early 2025. Through the concept of policy trajectories (Ball, 1993; Ball et al., 2012), the research analyses the interconnections between material contexts and discursive constructions in how AI policies (and their absence) are framed, interpreted, enacted, and resisted. The...

Analyzing the students' views, concerns, and perceived ethics about chat GPT usage

Faycal Farhi, Riadh Jeljeli, Ibtehal Aburezeq (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Artificial Intelligence has greatly revolutionized education in many aspects. Today, AI-enabled language models, such as ChatGPT, are gaining popularity due to their characteristics and benefits. However, users also consider them a threat to educational integrity and purposes. This research examined ChatGPT usage among students in the United Arab Emirates (UAE), their views, concerns, and perceived ethics. The data was gathered from 388 students from two universities in Al Ain city using Yamane's formula. Findings showed that students consider ChatGPT a revolutionary technology that helps students in many ways. The gathered data showed that the effect of ChatGPT Usage remained significant...

Generative AI in computing education: A systematic review and a framework for responsible integration

Arun Kumar, Thakerng Wongsirichot, Aziz Nanthaamornphong (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Context. Since late 2022, the rapid uptake of generative AI (GenAI) tools such as GitHub Copilot and ChatGPT has outpaced computing educators' evidence base for responding to it. Objective. This systematic literature review synthesises empirical evidence on four interconnected dimensions of GenAI in computing and programming education: effects on learning outcomes, student over-reliance, assessment integrity, and pedagogical adaptation. Method. Following Kitchenham and Charters (2007) guidelines and Wohlin's (2014) snowballing from seven curated seed papers, screening yielded 72 primary studies (2022–2026) from 33 venues, each was quality-assessed on a 10-item checklist (mean 8.32/10)....

Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines

Hui Wang, Anh Dang, Zihao Wu (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The advancements in Generative Artificial Intelligence (GenAI) can provide opportunities for enriching educational experiences, but at the same time raise concerns regarding academic integrity. Many educators have expressed anxiety and hesitation when it comes to integrating GenAI in their teaching practices. Thus, recommendations and guidance from institutions are needed to support instructors in this new and emerging GenAI era. In response to this need, this study explores different U.S. universities' academic policies and guidelines regarding the use of GenAI tools (e.g., ChatGPT) for teaching and learning, and from there, gains understanding of how these universities respond and adapt...