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Johann-Nikolaus Seibert

Biographic Data

ID2771127
NAMEJohann-Nikolaus Seibert
GIVEN NAMESJohann-Nikolaus
FAMILY NAMESeibert
SIGNATURESEIBERT J
AFFILIATIONSUniversity of Kaiserslautern
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Characteristics and perceived suitability of artificial intelligence-driven sports coaches

    Open Access•Carlo Dindorf, Jonas Dully et al.•ARTICLE•Frontiers in Sports and Active…•2025•Cited by: 1•References: 58

    IntroductionAccess to human sports coaches is often limited by financial and logistical barriers, leading to disparities in the availability of high-quality coaches. Artificial intelligence (AI) coaches powered by Large Language Models (LLMs) might offer promising means to augment human coaches by supporting or autonomously performing specific coaching tasks within targeted domains. This study investigated AI coaches' associated attributes and pe…

  • Exploring Decision-Making Competence in Sugar-Substitute Choices

    Open Access•Carlo Dindorf, Fabienne Weisenburger et al.•ARTICLE•Education Sciences•2024

    Interdisciplinary teaching approaches have gained significant importance in today’s educational landscape. Among these approaches, decision-making competence plays a pivotal role by nurturing critical thinking and problem-solving skills. Focusing on the decision-making process regarding the sensibility of using sugar-substitutes, this study addresses three key questions. (1) Do chemistry and sports and health students differ in evaluation-compete…

  • Characteristics and perceived suitability of artificial intelligence-driven sports coaches

    Open Access•Carlo Dindorf, Jonas Dully et al.•ARTICLE•Frontiers in Sports and Active…•2025•Cited by: 1•References: 58

    IntroductionAccess to human sports coaches is often limited by financial and logistical barriers, leading to disparities in the availability of high-quality coaches. Artificial intelligence (AI) coaches powered by Large Language Models (LLMs) might offer promising means to augment human coaches by supporting or autonomously performing specific coaching tasks within targeted domains. This study investigated AI coaches' associated attributes and pe…

  • Exploring Decision-Making Competence in Sugar-Substitute Choices

    Open Access•Carlo Dindorf, Fabienne Weisenburger et al.•ARTICLE•Education Sciences•2024

    Interdisciplinary teaching approaches have gained significant importance in today’s educational landscape. Among these approaches, decision-making competence plays a pivotal role by nurturing critical thinking and problem-solving skills. Focusing on the decision-making process regarding the sensibility of using sugar-substitutes, this study addresses three key questions. (1) Do chemistry and sports and health students differ in evaluation-compete…

  • Characteristics and perceived suitability of artificial intelligence-driven sports coaches

    Open Access•Carlo Dindorf, Jonas Dully et al.•ARTICLE•Frontiers in Sports and Active…•2025•Cited by: 1•References: 58

    IntroductionAccess to human sports coaches is often limited by financial and logistical barriers, leading to disparities in the availability of high-quality coaches. Artificial intelligence (AI) coaches powered by Large Language Models (LLMs) might offer promising means to augment human coaches by supporting or autonomously performing specific coaching tasks within targeted domains. This study investigated AI coaches' associated attributes and pe…

Psychology (2 works) · Applied Psychology (1 works) · Applied Psychology (1 works) · Athletes (1 works) · Behavioral Health and Interventions (1 works) · Chemistry (1 works) · Coaching (1 works) · Cognitive psychology (1 works) · Computer Science (1 works) · Cross disciplinary (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae