From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go DOI Creative Commons
Kavindu Ravishan, Dániel Szabó, Niels van Berkel

и другие.

Опубликована: Дек. 1, 2024

Online reviews help people make better decisions. Review platforms usually depend on typed input, where leaving a good review requires significant effort because users must carefully organize and articulate their thoughts. This may discourage from comprehensive high-quality reviews, especially when they are the go. To address this challenge, we developed Vocalizer, mobile application that enables to provide through voice with enhancements large language model (LLM). In longitudinal study, analysed user interactions app, focusing AI-driven features refine improve reviews. Our findings show frequently utilized AI agent add more detailed information We also how interactive can users' self-efficacy willingness share online. Finally, discuss opportunities challenges of integrating assistance into review-writing systems.

Язык: Английский

Exploring the impact of generative artificial intelligence on students’ learning outcomes: a meta-analysis DOI
Yinkun Zhu, Qiwen Liu, Li Zhao

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

Язык: Английский

Процитировано

0

Effects of Generative Artificial Intelligence on K-12 and Higher Education Students’ Learning Outcomes: A Meta-Analysis DOI
Xiaohong Liu,

B. J. Guo,

Wei He

и другие.

Journal of Educational Computing Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 11, 2025

Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students’ learning outcomes remains controversial. This study aimed to examine the of GenAI K-12 and higher education students, explore moderating factors influencing this impact. A meta-analysis 49 articles showed that mean effect sizes achievement motivation were 0.857 0.803, respectively, indicating a positive education. However, varied according moderators, including level, subject classification, interface, development, interaction approaches, experimentation time, which enhanced Specifically, had greater academic performance students interacted more effectively with using text than mixed media, such as images or audio. Although novel motivation, size decreases over time. These findings provide empirical support beneficial effects offer insights optimizing use in teaching practices.

Язык: Английский

Процитировано

0

The Time Machine: Future Scenario Generation Through Generative AI Tools DOI Creative Commons
Jan Ferrer i Picó,

Michelle Catta-Preta,

Alejandro Trejo Omeñaca

и другие.

Future Internet, Год журнала: 2025, Номер 17(1), С. 48 - 48

Опубликована: Янв. 20, 2025

Contemporary society faces unprecedented challenges—from rapid technological evolution to climate change and demographic tensions—compelling organisations anticipate the future for informed decision-making. This case study aimed design a digital system end-users called Time Machine, which enables generative artificial intelligence (GAI) produce prospective scenarios based on input information automatically, proposing hypotheses prioritising trends streamline make formulation of more accessible. The system’s design, development, testing progressed through three versions prompts OpenAI GPT-4 LLM, with six trials conducted involving 222 participants. iterative approach allowed gradual adjustment instructions given machine encouraged refinement. Results from demonstrated that Machine is an effective tool generating promote debate stimulate new ideas in multidisciplinary teams. Our proved GAI-generated could foster discussions +70% generated appropriate prompting, than half included ideas. In conclusion, large language models (LLMs) GAI, suitable prompt engineering architecture, have potential generate useful organisations, transforming into accessible operational resource. However, critical use these essential.

Язык: Английский

Процитировано

0

Generative artificial intelligence in creative contexts: a systematic review and future research agenda DOI Creative Commons
Rebecca Heigl

Management Review Quarterly, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0

Enhancing Searching as Learning (SAL) with Generative Artificial Intelligence: A Literature Review DOI
Kok Khiang Lim, Chei Sian Lee

Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 143 - 155

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

2

Dampak Implementasi Teknologi dalam Pembelajaran Pendidikan Dasar: Studi Kasus pada Efektivitas Penggunaan Platform Pembelajaran Digital di Sekolah Dasar DOI Open Access

Encil Puspitoningrum,

Ikhda Nurnoviyati,

Suhartono Suhartono

и другие.

Al-Madrasah Jurnal Pendidikan Madrasah Ibtidaiyah, Год журнала: 2024, Номер 8(3), С. 970 - 970

Опубликована: Июль 22, 2024

<p>Pendidikan dasar menjadi tonggak penting dalam membentuk pengetahuan dan keterampilan bagi generasi muda. Di era digital ini, teknologi telah bagian tak terpisahkan dari proses belajar mengajar di sekolah dasar. Artikel ini bertujuan untuk mengevaluasi dampak yang ditimbulkan oleh implementasi teknologi, khususnya penggunaan platform pembelajaran digital, terhadap efektivitas tingkat Metode literature review digunakan merangkum temuan-temuan berbagai penelitian terkait. Hasil analisis menunjukkan bahwa pendidikan memberikan positif signifikan pada pembelajaran. Penggunaan meningkatkan interaktifitas antara guru siswa, memperluas akses ke sumber belajar, motivasi melalui pendekatan lebih menarik adaptif. Namun, ada tantangan seperti kesenjangan kalangan siswa perlunya pelatihan mengintegrasikan Dengan demikian, artikel gambaran komprehensif tentang peran mengidentifikasi beberapa area perlu perhatian lanjut dasar.</p>

Процитировано

0

Finding Time for Creativity in Higher Education Writing Through Generative AI DOI

K. M. Begian-Lewis,

Colleen J. Hart

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 47 - 68

Опубликована: Авг. 27, 2024

In this chapter, the authors discuss relationship between time poverty, creativity, and Large Language Models of AI (LLMs) or Generative technologies in writing classroom, including ChatGPT GenAI software word processors such as Microsoft Word. Through examples provided by ChatGPT, a student profile, comparative analysis two LLMs, they make an argument that LLMs should be integrated into classroom order to offer students who suffer from poverty ability practice creativity their which may struggle achieve when limited can devote classwork. Specifically, explore how support process, researching, pre-writing, writing, revision, reflection foster writing.

Язык: Английский

Процитировано

0

The paradox of self-efficacy and technological dependence: Unraveling generative AI's impact on university students' task completion DOI
Ling Zhang, Junzhou Xu

The Internet and Higher Education, Год журнала: 2024, Номер 65, С. 100978 - 100978

Опубликована: Ноя. 14, 2024

Язык: Английский

Процитировано

0

From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go DOI Creative Commons
Kavindu Ravishan, Dániel Szabó, Niels van Berkel

и другие.

Опубликована: Дек. 1, 2024

Online reviews help people make better decisions. Review platforms usually depend on typed input, where leaving a good review requires significant effort because users must carefully organize and articulate their thoughts. This may discourage from comprehensive high-quality reviews, especially when they are the go. To address this challenge, we developed Vocalizer, mobile application that enables to provide through voice with enhancements large language model (LLM). In longitudinal study, analysed user interactions app, focusing AI-driven features refine improve reviews. Our findings show frequently utilized AI agent add more detailed information We also how interactive can users' self-efficacy willingness share online. Finally, discuss opportunities challenges of integrating assistance into review-writing systems.

Язык: Английский

Процитировано

0