Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality

Опубликована: Фев. 21, 2025

Язык: Английский

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Collaborative Uses of GenAI Tools in Project-Based Learning

Education Sciences, Год журнала: 2025, Номер 15(3), С. 354 - 354

Опубликована: Март 12, 2025

Artificial intelligence (AI) is forcing a dramatic transformation of the methods by which we acquire knowledge and engage in collaborative learning. Although there are several studies on how AI can support learning, no published examining students actually collaborate among themselves while interacting with tools. For this study, thirty postgraduate were organized into teams three, each team developed project mainly exploiting responses from ChatGPT, Google Gemini, MS Copilot, as well internet class resources. Each selected specific things (IoT) application area described technologies real-world cases area. Then, delivered report full description their interactions these generative (GenAI) tools presented work class. Additionally, answered an online questionnaire closed- open-ended questions participated focus group discussions. Members collaborated to design prompts using five suggested modes collaboration. Eventually, half exploited all modes, but they mostly liked preferred three modes. On average, teammates initially disagreed 24% time eventually reached agreement. Students appreciated GenAI for quick well-structured responses, natural communication style, broad subject coverage, ability simplify complex topics personalized However, expressed concerns about tools’ inaccurate inconsistent identified key risks, such passive over-dependence, outdated information, privacy issues. Finally, recommended that should provide shared well-organized discussion space prompt asking, allowing members simultaneously view other’s tool’s responses. They also advised source verification proper training ensure remain supplementary rather than primary learning

Язык: Английский

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The Effects of Assumed AI vs. Human Authorship on the Perception of a GPT-Generated Text

Journalism and Media, Год журнала: 2024, Номер 5(3), С. 1085 - 1097

Опубликована: Авг. 20, 2024

Artificial Intelligence (AI) has demonstrated its ability to undertake writing tasks, including automated journalism. Prior studies suggest no differences between human and AI authors regarding perceived message credibility. However, research on people’s perceptions of authorship complex topics is lacking. In a between-groups experiment (N = 734), we examined the effect labeled credibility GPT-written science journalism article. The results an equivalence test showed that labeling text as AI-written vs. human-written reduced (d 0.36). Moreover, decreased source 0.24), anthropomorphism 0.67), intelligence 0.41). findings are discussed against backdrop growing availability AI-generated content greater awareness authorship.

Язык: Английский

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“Always Check Important Information!” - The Role of Disclaimers in the Perception of AI-generated Content

Computers in Human Behavior Artificial Humans, Год журнала: 2025, Номер unknown, С. 100142 - 100142

Опубликована: Март 1, 2025

Язык: Английский

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Generative AI in academic writing: Does information on authorship impact learners’ revision behavior?

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 8, С. 100350 - 100350

Опубликована: Дек. 17, 2024

Язык: Английский

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