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The influence of sociodemographic factors on students’ attitudes toward AI-generated video content creation
(Spinger Open, 2023)Artificial Intelligence (AI) and Machine Learning (ML) technologies offer the potential to support digital content creation and media production, providing opportunities for individuals from diverse sociodemographic ... -
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions
(Spinger Open, 2023)Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, etc., which assists in effective ... -
The application of AI technologies in STEM education: a systematic review from 2011 to 2021
(Spinger Open, 2023)Background: The application of artificial intelligence (AI) in STEM education (AI-STEM), as an emerging field, is confronted with a challenge of integrating diverse AI techniques and complex educational elements to ... -
The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers?
(Spinger Open, 2023)This study aimed to explore the experiences, perceptions, knowledge, concerns, and intentions of Generation Z (Gen Z) students with Generation X (Gen X) and Generation Y (Gen Y) teachers regarding the use of generative ... -
Research on interaction of innovation spillovers in the AI, Fin‑Tech, and IoT industries: considering structural changes accelerated by COVID‑19
(Spinger Open, 2023)This paper aims to probe the influence of innovation spillovers in the artificial intel‑ ligence (AI) and financial technology (Fin‑tech) industries on the value of the internet of things (IoT) companies. Python was ...
