Zobrazeno 1 - 9
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pro vyhledávání: '"Nyaaba, Matthew"'
Autor:
Nyaaba, Matthew
This study examines the transformative potential of Generative AI (GenAI) in teacher education within developing countries, focusing on Ghana, where challenges such as limited pedagogical modeling, performance-based assessments, and practitioner-expe
Externí odkaz:
http://arxiv.org/abs/2411.10718
Virtual Reality in Teacher Education: Insights from Pre-Service Teachers in Resource-limited Regions
This study explores the perceptions, challenges, and opportunities associated with using Virtual Reality (VR) as a tool in teacher education among pre-service teachers in a resource-limited setting. Utilizing a qualitative case study design, the stud
Externí odkaz:
http://arxiv.org/abs/2411.10225
This paper critically discusses how generative artificial intelligence (GenAI) might impose Western ideologies on non-Western societies, perpetuating digital neocolonialism in education through its inherent biases. It further suggests strategies for
Externí odkaz:
http://arxiv.org/abs/2406.02966
Autor:
Nyaaba, Matthew, Shi, Lehong, Nabang, Macharious, Zhai, Xiaoming, Kyeremeh, Patrick, Ayoberd, Samuel Arthur, Akanzire, Bismark Nyaaba
To uncover pre-service teachers' (PSTs') user experience and perceptions of generative artificial intelligence (GenAI) applications, we surveyed 167 Ghana PSTs' specific uses of GenAI as a learning buddy and teaching assistant, and their attitudes to
Externí odkaz:
http://arxiv.org/abs/2407.11983
Publikováno v:
Science & Education, 2024
This study aimed to examine an assumption that generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We compared the performance of ChatGPT and GPT-4 on 2019 NAEP science assessm
Externí odkaz:
http://arxiv.org/abs/2401.15081
Autor:
Lee, Gyeong-Geon, Shi, Lehong, Latif, Ehsan, Gao, Yizhu, Bewersdorff, Arne, Nyaaba, Matthew, Guo, Shuchen, Wu, Zihao, Liu, Zhengliang, Wang, Hui, Mai, Gengchen, Liu, Tiaming, Zhai, Xiaoming
This paper presents a comprehensive examination of how multimodal artificial intelligence (AI) approaches are paving the way towards the realization of Artificial General Intelligence (AGI) in educational contexts. It scrutinizes the evolution and in
Externí odkaz:
http://arxiv.org/abs/2312.06037
Autor:
Latif, Ehsan, Mai, Gengchen, Nyaaba, Matthew, Wu, Xuansheng, Liu, Ninghao, Lu, Guoyu, Li, Sheng, Liu, Tianming, Zhai, Xiaoming
Artificial general intelligence (AGI) has gained global recognition as a future technology due to the emergence of breakthrough large language models and chatbots such as GPT-4 and ChatGPT, respectively. Compared to conventional AI models, typically
Externí odkaz:
http://arxiv.org/abs/2304.12479
Publikováno v:
International Journal of STEM Education for Sustainability; 2024, Vol. 4 Issue 1, p54-69, 16p
Autor:
Latif, Ehsan, Mai, Gengchen, Nyaaba, Matthew, Wu, Xuansheng, Liu, Ninghao, Lu, Guoyu, Li, Sheng, Liu, Tianming, Zhai, Xiaoming
Artificial general intelligence (AGI) has gained global recognition as a future technology due to the emergence of breakthrough large language models and chatbots such as GPT-4 and ChatGPT, respectively. AGI aims to replicate human intelligence throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fee9c4a6c960b792e20557146f816ef0
http://arxiv.org/abs/2304.12479
http://arxiv.org/abs/2304.12479