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  • integridad académica

Bibliografía: integridad académica

Nº de publicaciones: 50
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Cheating in the age of generative AI: A high school survey study of cheating behaviors before and after the release of ChatGPT
Victor R. Lee, Denise Pope, Sarah Miles (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The public release of ChatGPT and other generative AI chatbot technologies has been accompanied by questions about how academic integrity and student cheating behaviors will be impacted. We analyzed anonymous survey data from three high schools to see if self-reported cheating numbers changed following the introduction of ChatGPT and similar technologies. This survey data set is unique in that data on cheating had been collected with this set of schools both before and after November 2022, when ChatGPT was publicly released and drew attention to these educational concerns. The results suggested that cheating behaviors remained relatively stable after the introduction of this current...

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What percentage of secondary school students do their homework with the help of artificial intelligence? - A survey of attitudes towards artificial intelligence
Mátyás Turós, Róbert Nagy, Zoltán Szűts (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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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To GPT or not GPT? Empowering our students to learn with AI
Jennifer L. Steele (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar ✕

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

I argue that ChatGPT and other generative artificial intelligence tools pose three main threats to our current education systems, creating problems of measurement, information accuracy, and skill devaluation. But when we place these threats into historical context, we see that AI tools can also empower students and level the educational playing field. In classrooms from primary to tertiary and spanning all content areas, we can help our students become critical thinkers by using ChatGPT to comprehend texts, aggregate knowledge, and understand genre conventions in prose as well as programming. The aim is to help students leverage AI as a tool that they question and critique, advancing their...

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Preparing pre-service teachers for responsible generative AI use: Curriculum implications for ethics, privacy, and AI literacy
Lucas Kohnke, Di Zou, Chun Lai (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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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)
Computers & Education: Artificial Intelligence
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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Academic cheating with generative AI: Exploring a moral extension of the theory of planned behavior
Dongpeng Huang, Nicole Hash, James J. Cummings (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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Navigating AI writing tools in medical education: A SWOT analysis of L2 academic writing perspectives
Farhad Pakdel, Laleh Khojasteh, Reza Kafipour (2025)
Language Teaching Research
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The integration of artificial intelligence (AI) writing tools in second language (L2) academic writing presents both opportunities and challenges for medical education. This study employed a SWOT (strengths–weaknesses–opportunities–threats) analysis to examine medical students’ perspectives on using AI writing tools in their academic writing practice. Forty-two medical students from a major Iranian university participated in the study, providing weekly reflections and a final SWOT analysis over a 15-week academic writing course. Thematic analysis revealed that AI writing tools offer significant strengths in linguistic skill development, particularly in academic vocabulary enhancement, sentence improvement, and grammar and proofreading. However, weaknesses such as over-reliance on AI, lack of contextual understanding, and occasional...

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Automated detection of machine translation use in L2 Spanish writing
Luciane L Maimone, Falcon Restrepo Ramos, Jason Jolley (2025)
Language Teaching Research
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: español como lengua extranjera

Resumen:

Google Translate (GT) has become a popular machine translation (MT) tool among language learners, received by instructors with excitement over its pedagogical potential and concerns about its possible misuse in the classroom, particularly when this misuse goes undetected. This study investigated the suitability of natural language processing (NLP) software for the automated detection of MT use in second language (L2) writing, examining a dataset composed of written samples generated by GT and direct L2 writing produced by intermediate-level postsecondary learners of Spanish. NLP-powered analyses found significant lexical and sentential-level differences, as well as estimated proficiency-level differences across text types. Automated judgments based on lexical diversity and amount of coordination yielded detection accuracy rates of 73....

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Examining EFL learners’ source text use in summary writing
Jiuliang Li (2025)
Language Teaching Research
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: expresión escrita

Resumen:

To avoid plagiarism, students have to learn the appropriate and effective ways of source text use, such as paraphrasing, summarizing, and citation. However, few studies have investigated how learners of English as a foreign language (EFL) employ copy and paraphrase as source text use strategies in completing writing tasks involving reading material, and how characteristics of the reading material, such as genre, affect such use. This article reports an empirical study that attempted to address the issue. Eighty students from an undergraduate program of a Chinese university wrote summaries for a narrative text and an expository text. Their drafts and the source texts are compared to identify instances of retention of strings of words from sources. Analysis of the summary scripts showed that participants heavily relied on the source...

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A Q method study on Turkish EFL learners’ perspectives on the use of AI tools for writing: Benefits, concerns, and ethics
Ayşe Yılmaz Virlan, Burak Tomak (2025)
Language Teaching Research
Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

With the growth of artificial intelligence (AI) tools available to anybody with internet access, English language learners are increasingly turning to these resources to improve their writing skills. By examining their utilization of AI tools to improve their writing proficiency, this research examines the perspectives of Turkish English language learners enrolled in a preparatory program at a state university in Istanbul. Using a Q methodological approach, researchers created a set of 40 statements based on a literature study, which were then sent to 55 consenting individuals. Qualitative information was also collected by interviewing five students in depth. The analysis indicated a growing tendency among students to utilize AI tools for writing assignments, highlighting advantages such as assistance in translation, idea generation,...

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