Enhancing children’s understanding of algorithmic biases in and with text-to-image generative AI DOI Creative Commons
Henriikka Vartiainen, Juho Kahila, Matti Tedre

et al.

New Media & Society, Journal Year: 2024, Volume and Issue: unknown

Published: May 18, 2024

Despite the growing concerns surrounding algorithmic biases in generative AI (artificial intelligence), there is a noticeable lack of research on how to facilitate children and young people’s awareness understanding them. This study aimed address this gap by conducting hands-on workshops with fourth- seventh-grade students Finland, focusing students’ ( N = 209) evolving explanations potential causes within text-to-image models. Statistically significant progress children’s data-driven was observed written reasoning test, which administered prior after intervention, as well their responses worksheets they filled out during lesson that focused biases. The article concludes discussion development facilitation

Language: Английский

Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis DOI Open Access
Zied Bahroun, Chiraz Anane, Vian Ahmed

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(17), P. 12983 - 12983

Published: Aug. 29, 2023

In the ever-evolving era of technological advancements, generative artificial intelligence (GAI) emerges as a transformative force, revolutionizing education. This review paper, guided by PRISMA framework, presents comprehensive analysis GAI in education, synthesizing key insights from selection 207 research papers to identify gaps and future directions field. study begins with content that explores GAI’s impact specific educational domains, including medical education engineering The versatile applications encompass assessment, personalized learning support, intelligent tutoring systems. Ethical considerations, interdisciplinary collaboration, responsible technology use are highlighted, emphasizing need for transparent models addressing biases. Subsequently, bibliometric is conducted, examining prominent AI tools, focus, geographic distribution, collaboration. ChatGPT dominant tool, reveals significant exponential growth 2023. Moreover, this paper identifies promising directions, such GAI-enhanced curriculum design longitudinal studies tracking its long-term on outcomes. These findings provide understanding potential reshaping offer valuable researchers, educators, policymakers interested intersection

Language: Английский

Citations

311

Generative AI and ChatGPT in School Children’s Education: Evidence from a School Lesson DOI Open Access
Jussi S. Jauhiainen, Agustín Garagorry Guerra

Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 14025 - 14025

Published: Sept. 21, 2023

In 2023, the global use of generative AI, particularly ChatGPT-3.5 and -4, witnessed a significant surge, sparking discussions on its sustainable implementation across various domains, including education from primary schools to universities. However, practical testing evaluation in school are still relatively unexplored. This article examines utilization AI education. The study involved 110 pupils, aged 8–14 years old, studying 4th–6th grades four classes two schools. Using laptops, pupils participated test lessons where content, text, figures, exercises were generated modified using specifically ChatGPT-3.5. results demonstrated that it was possible ChatGPT-3.5, as one example personify learning material so would meet knowledge skills with different levels knowledge. A clear majority enjoyed AI-modified material. There is promising potential education, supporting pupils’ motivated development. these tools need be developed, refined optimized ensure proper adaptation create impactful, inclusive, benefit teachers managers alike.

Language: Английский

Citations

83

La nueva realidad de la educación ante los avances de la inteligencia artificial generativa DOI Creative Commons
Francisco José García‐Peñalvo, Faraón Llorens Largo, Javier Vidal

et al.

RIED Revista Iberoamericana de Educación a Distancia, Journal Year: 2023, Volume and Issue: 27(1), P. 9 - 39

Published: July 7, 2023

Cada vez es más común interactuar con productos que parecen “inteligentes”, aunque quizás la etiqueta “inteligencia artificial” haya sido sustituida por otros eufemismos. Desde noviembre de 2022, aparición herramienta ChatGPT, ha habido un aumento exponencial en el uso inteligencia artificial todos los ámbitos. Aunque ChatGPT solo una las muchas tecnologías generativas artificial, su impacto procesos enseñanza y aprendizaje notable. Este artículo reflexiona sobre ventajas, inconvenientes, potencialidades, límites retos educación, objetivo evitar sesgos propios posiciones extremistas. Para ello, se llevado a cabo revisión sistemática tanto herramientas como producción científica surgido seis primeros meses desde ChatGPT. La generativa extremadamente potente mejora ritmo acelerado, pero basa lenguajes modelo gran tamaño base probabilística, lo significa no tienen capacidad razonamiento ni comprensión y, tanto, son susceptibles contener fallos necesitan ser contrastados. Por otro lado, muchos problemas asociados estas contextos educativos ya existían antes aparición, ahora, debido potencia, podemos ignorarlos queda asumir cuál será nuestra velocidad respuesta para analizar e incorporar práctica docente.

Citations

77

Integrating Generative AI Into K-12 Curriculums and Pedagogies in India DOI

Durgesh M. Sharma,

K. Venkata Ramana,

R. Jothilakshmi

et al.

Advances in higher education and professional development book series, Journal Year: 2023, Volume and Issue: unknown, P. 133 - 161

Published: Dec. 30, 2023

Generative artificial intelligence (AI) can revolutionize K-12 education in India by enhancing curriculums and pedagogies. This chapter explores the principles of generative AI, including adversarial networks (GANs), variational autoencoders (VAEs), natural language generation (NLG), its potential to create content indistinguishable from human-generated materials. AI addresses challenges like resource scarcity, linguistic diversity, personalized learning experiences, while emphasizing ethical considerations, data privacy, bridging digital divide. The future will see journeys, inclusivity, empowered educators. A comprehensive policy framework, infrastructure support, teacher training are needed realize full shaping educational landscape.

Language: Английский

Citations

71

Generative AI in Higher Education DOI Creative Commons
Cecilia Ka Yuk Chan, Tom Colloton

Published: March 11, 2024

Chan and Colloton's book is one of the first to provide a comprehensive examination use impact ChatGPT Generative AI (GenAI) in higher education. Since November 2022, every conversation education has involved its on all aspects teaching learning. The explores necessity literacy tailored professional contexts, assess strengths weaknesses incorporating curriculum design, delve into transformation assessment methods GenAI era. authors introduce Six Assessment Redesign Pivotal Strategies (SARPS) an Integration Framework, encouraging learner-centric model. for well-crafted educational policies explored, as well blueprint policy formulation academic institutions. Technical enthusiasts are catered with deep dive mechanics behind GenAI, from history neural networks latest advances applications technologies. With eye future education, this will appeal educators, students scholars interested wider societal implications transformative role pedagogy research.

Language: Английский

Citations

34

Promises and challenges of generative artificial intelligence for human learning DOI
Lixiang Yan, Samuel Greiff, Ziwen Teuber

et al.

Nature Human Behaviour, Journal Year: 2024, Volume and Issue: 8(10), P. 1839 - 1850

Published: Oct. 22, 2024

Language: Английский

Citations

33

Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle DOI Creative Commons
Lixiang Yan, Roberto Martínez‐Maldonado, Dragan Gašević

et al.

Published: March 5, 2024

Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other state-of-the-art large language models diffusion models, holds significant potential for transforming education enhancing human productivity. While the prevalence of GenAI in has motivated numerous research initiatives, integrating these technologies within learning analytics (LA) cycle their implications practical interventions remain underexplored. This paper delves into prospective opportunities challenges poses advancing LA. We present a concise overview current landscape contextualise its roles Clow's generic framework LA cycle. posit that can play pivotal analysing unstructured data, generating synthetic learner enriching multimodal interactions, interactive explanatory analytics, facilitating personalisation adaptive interventions. As lines blur between learners tools, renewed understanding is needed. Future delve deep frameworks methodologies advocate human-AI collaboration. The community role capturing data about AI contributions exploring how they collaborate most effectively. advances, it essential to consider pedagogical broader socioeconomic impact ensuring an inclusive future.

Language: Английский

Citations

26

A systematic literature review of empirical research on ChatGPT in education DOI Creative Commons
Yazid Albadarin, Mohammed Saqr,

Nicolas Pope

et al.

Discover Education, Journal Year: 2024, Volume and Issue: 3(1)

Published: May 26, 2024

Abstract Over the last four decades, studies have investigated incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted education sector is ChatGPT. This article provides a systematic review 14 empirical incorporating ChatGPT various educational settings, published in 2022 and before 10th April 2023—the date conducting search process. It carefully followed essential steps outlined Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA 2020) guidelines, as well Okoli’s (Okoli Commun Assoc Inf Syst, 2015) rigorous transparent review. In this review, we aimed to explore how students teachers utilized primary findings those studies. By employing Creswell’s (Creswell Educational research: planning, conducting, evaluating quantitative qualitative research [Ebook], Pearson Education, London, coding techniques data extraction interpretation, sought gain insight their initial attempts at approach also enabled us extract insights considerations can facilitate its effective responsible use future contexts. The results show learners virtual intelligent assistant, where it offered instant feedback, on-demand answers, explanations complex topics. Additionally, used enhance writing language skills by generating ideas, composing essays, summarizing, translating, paraphrasing texts, or checking grammar. Moreover, turned an aiding tool directed personalized learning assisting understanding concepts homework, providing structured plans, clarifying assignments tasks. However, specific (n = 3, 21.4%) overuse may negatively impact innovative capacities collaborative competencies among learners. Educators, on other hand, create lesson generate quizzes, provide additional resources, which helped them productivity efficiency promote different teaching methodologies. Despite these benefits, majority reviewed recommend importance training, support, clear guidelines both educators mitigate drawbacks. includes developing critical evaluation assess accuracy relevance information provided ChatGPT, strategies integrating human interaction collaboration activities involve AI tools. Furthermore, they ongoing proactive dialogue with policymakers, stakeholders, practitioners refine environments. could serve insightful resource who seek integrate stimulate further field.

Language: Английский

Citations

26

Applications of generative AI and future organizational performance: The mediating role of explorative and exploitative innovation and the moderating role of ethical dilemmas and environmental dynamism DOI Creative Commons
Kuldeep Singh, Sheshadri Chatterjee, Marcello M. Mariani

et al.

Technovation, Journal Year: 2024, Volume and Issue: 133, P. 103021 - 103021

Published: April 23, 2024

Generative Artificial Intelligence (GenAI) is one of the popular AI technologies which can produce multiple kinds contents including music, text, image, as well synthetic data. As GenAI technology various forms contents, organizations must face ethical dilemmas to where this likely be used. Organizations do not want compromise their standards and compliance policies. Against backdrop, aim study examine if could improve future performance organizations. This deployed environmental dynamism two moderators acting on different linkages between adoption organizational performance. With help literature review theories, a theoretical model has been developed conceptually was validated using PLS-SEM technique with feedback 326 responses from types found that exploratory exploitative innovation under moderating effects dilemmas. Moreover, it highlighted application

Language: Английский

Citations

20

Incorporating AIGC into design ideation: A study on self-efficacy and learning experience acceptance under higher-order thinking DOI
Kuo-Liang Huang, Yichen Liu, Mingqing Dong

et al.

Thinking Skills and Creativity, Journal Year: 2024, Volume and Issue: 52, P. 101508 - 101508

Published: March 14, 2024

Language: Английский

Citations

17