Rethinking Plagiarism in the Era of Generative AI

Journal of Intelligent Communication, Год журнала: 2024, Номер 4(1)

Опубликована: Апрель 26, 2024

The emergence of generative artificial intelligence (AI) technologies, such as large language models (LLMs) like ChatGPT, has precipitated a paradigm shift in the realms academic writing, plagiarism, and intellectual property. This article explores evolving landscape English composition courses, traditionally designed to develop critical thinking through writing. As AI becomes increasingly integrated into sphere, it necessitates reevaluation originality purpose learning research frameworks governing property (IP) plagiarism. paper commences with statistical analysis contrasting actual use LLMs dishonesty educator perceptions. It then examines repercussions AI-enabled content proliferation, referencing limitation three books self-published per day September 2023 by Amazon due suspected influx AI-generated material. discourse extends potential accelerating akin contributions digital humanities computational linguistics, highlighting its accessibility general public. further delves implications on pedagogical approaches contemplating impact communication skills, while also considering role bridging divide socio-economic disparities. Finally, proposes revisions writing curricula, adapting transformative influence contexts.

Язык: Английский

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Enough of the chit-chat: A comparative analysis of four AI chatbots for calculus and statistics

Journal of Applied Learning & Teaching, Год журнала: 2023, Номер 6(2)

Опубликована: Авг. 23, 2023

This article presents a comparative analysis of four AI chatbots with potential utilization in the fields mathematics education and statistics, namely ChatGPT, GPT-4, Bard, LLaMA. Our objective is to evaluate compare features, functionalities, applications these platforms within domains calculus statistics. By examining their strengths limitations, this study aims provide insights into selection implementation statistics enhance student learning. The results reveal that, while not perfect, GPT-4 outperforms LLaMA as learning tool Findings also that may have positive transformational impact on higher education.

Язык: Английский

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LLM-based collaborative programming: impact on students’ computational thinking and self-efficacy

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 7, 2025

Язык: Английский

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Empowering Self-Directed Learners by Exploring the Role of Generative AI-Language Models in Fostering Autonomy, Competence, and Relatedness

Practice, progress, and proficiency in sustainability, Год журнала: 2025, Номер unknown, С. 93 - 118

Опубликована: Янв. 31, 2025

This qualitative study investigates the perceptions of learners regarding potential role generative AI language models in supporting autonomy, competence, and relatedness, three key dimensions self-determination theory (SDT).The research employs a thematic analysis learning artifacts created by 25 engaging with various educational settings to gain insights into how these technologies may support certain aspects personalized experiences, task scaffolding, sense community under specific conditions. The findings suggest that, from perspective this limited sample, have foster learner autonomy enabling adaptive content, encouraging exploration, some self-regulated strategies. results also indicate possible avenues through which bolster perceived competence relatedness for learners. contributes emerging body exploratory on prospective roles education.

Язык: Английский

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Human-Centered Artificial Intelligence in Higher Education: A Framework for Systematic Literature Reviews

Information, Год журнала: 2025, Номер 16(3), С. 240 - 240

Опубликована: Март 18, 2025

Human-centered approaches are vital to manage the rapid growth of artificial intelligence (AI) in higher education, where AI-driven applications can reshape teaching, research, and student engagement. This study presents Human-Centered AI for Systematic Literature Reviews (HCAI-SLR) framework guide educators researchers integrating tools effectively. The methodology combines augmentation with human oversight ethical checkpoints at each review stage balance automation expertise. An illustrative example experiments demonstrate how supports tasks such as searching, screening, extracting, synthesizing large volumes literature that lead measurable gains efficiency comprehensiveness. Results show HCAI-driven processes reduce time costs while preserving rigor, transparency, user control. By embedding values through constant oversight, trust AI-generated findings is bolstered potential biases mitigated. Overall, promotes ethical, transparent, robust integration education without compromising academic standards. Future work will refine its adaptability across various research contexts further validate impact on scholarly practices.

Язык: Английский

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Student self-reflection as a tool for managing GenAI use in large class assessment

Discover Education, Год журнала: 2025, Номер 4(1)

Опубликована: Март 26, 2025

Written assignments for large classes pose a far more significant challenge in the age of GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students class. Therefore, we conducted study South Africa involved 280 Honors to explore usefulness Turnitin's AI detector conjunction student self-reflection. Using Mixed Methods Research (MMR) approach, analysed data generated from Turnitin reports, our grading rubrics, qualitative The findings show that incorporating self-reflection into supports ethical use improves transparency lecturers need decision-making. A declaration form allowed be upfront about using Generative Artificial Intelligence tools. We found who can reflect on their learning relied less content. However, high detected scores (> 20%) did adequately how tools supported could give credible explanations use. contribute body knowledge by providing academics examples responsibly handling AI-detected large-class settings. present guided an support help make decisions when grading. also decision tree graders evaluating assessments.

Язык: Английский

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Human-AI Collaboration: Understanding User Trust in ChatGPT Conversations

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, Год журнала: 2024, Номер 08(01), С. 1 - 13

Опубликована: Янв. 8, 2024

This research paper delves into the critical dimension of Human-AI Collaboration, with a specific focus on unraveling intricacies user trust in ChatGPT conversations. In an era marked by increasing AI integration various aspects human life, understanding and fostering conversational systems like is essential for effective collaboration. The study employs comprehensive approach, investigating metrics measurement, analyzing experiences, exploring factors that influence trust. By examining evolving impact collaboration conducting comparative analyses other models, aims to provide valuable insights. Ultimately, not only contributes nuanced conversations but also offers practical recommendations developers stakeholders enhance collaborative potential real-world applications. Keywords: Conversations, Conversational AI, Trust Metrics, User Trust.

Язык: Английский

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Zwischen Forschung und Praxis: Fähigkeiten und Limitationen generativer KI sowie ihre wachsende Bedeutung in der Zukunft

HMD Praxis der Wirtschaftsinformatik, Год журнала: 2024, Номер 61(2), С. 344 - 370

Опубликована: Март 1, 2024

Zusammenfassung Die dynamische Entwicklung und steigende Beliebtheit generativer künstlicher Intelligenz (genKI), besonders durch die Verbreitung dem Einsatz von ChatGPT, hat das enorme Potenzial dieser Technologie gezeigt, Berufsfelder Branchen grundlegend transformieren zu können. Entscheidung hinsichtlich des Einsatzes genKI sowie Identifikation aussichtsreicher Anwendungsszenarien stellen in Anbetracht eines rasch wachsenden immer komplexeren Marktes erhebliche Herausforderungen dar. Angesichts Gegebenheiten wird mit vorliegenden Artikel Ziel verfolgt, eine Übersicht über Fähigkeiten Limitationen präsentieren. Mittels einer systematischen Literaturrecherche wurden vielfältige eruiert im Hinblick auf Ergebnisse genKI-Einsatzes bewertet, was Momentaufnahme der aktuellen ermöglichte. Zusätzlich wurde Umfrage unter 40 Teilnehmenden durchgeführt, um Nutzungsgewohnheiten Erfahrungen Umgang erfassen Befunde aus Literatur validieren. erlangten Einsichten sollen Praktikerinnen Praktiker bei Navigation Bereich unterstützen Entscheidungshilfe bieten, indem identifizierten Kontext eigener eingeordnet werden Weiterhin liefern Anhaltspunkte für methodische Untersuchung genKI-Anwendungsszenarien Ausgangspunkte wissenschaftliche Vertiefung Forscherinnen Forscher. Mit Verknüpfung theoretischer Analyse praktischer Erhebung bietet einen umfassenden Einblick den Stand genKI.

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Teaching Chatbot Prompt Strategies in EFL Essay Writing Instruction

Опубликована: Сен. 28, 2023

This study aimed to explore students' perceptions of receiving AI chatbot prompt-based instructional intervention in an EFL essay writing unit. After learning the teacher-guided prompt strategies, students compared and contrasted outputs before-after instruction recognized importance for promoting engaging meaningful learning. Students' reflections illustrated their utilizing chatbots writing, content analysis revealed opportunities challenges inherent this new AI-assisted pedagogical approach.

Язык: Английский

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Leveraging AI to Enhance the Global Mobility Experience

Advances in finance, accounting, and economics book series, Год журнала: 2024, Номер unknown, С. 108 - 133

Опубликована: Май 14, 2024

The study investigates how AI-driven solutions are revolutionizing student interactions, admissions processes, academic support, and cross-cultural adaptation. Through intelligent chatbots, personalized recommendations, predictive analytics, universities catering to individual needs streamlining administrative procedures. Furthermore, AI-powered language translation tools aiding international students in overcoming barriers, fostering better communication, enriching their learning experiences. In the Indian higher education landscape, this trend holds particular significance due nation's burgeoning population aspirations for global recognition. chapter underscores importance of continuous innovation, collaboration, adaptability integrating AI effectively. By embracing these advancements, can position themselves as attractive destinations students, diversity cross-border learning. This provides valuable insights into symbiotic relationship between mobility, accentuating need a dynamic approach reshape future on scale helpful policymakers enhance system.

Язык: Английский

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