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Wang, Youmei; Liu, Chenchen; Tu, Yun-Fang – Educational Technology & Society, 2021
Owing to the rapid advancements in artificial intelligence (AI) technologies, there has been increasing concern about how to promote the use of AI technologies in school settings to enhance students' learning performance. Teachers' intention to adopt AI tools in their classes plays a crucial role in this regard. Therefore, it is important to…
Descriptors: Artificial Intelligence, Computer Uses in Education, Adoption (Ideas), Teacher Attitudes
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Tselios, Nikolaos; Daskalakis, Stelios; Papadopoulou, Maria – Educational Technology & Society, 2011
Usefulness and ease of use proved to be key determinants of the acceptance and usage of e-learning. On the contrary, little is known about students' perceptions in a blended learning setting. In this paper, the Technology Acceptance Model (TAM) was utilised, in order to investigate Greek university students' attitudes toward blended learning. The…
Descriptors: Electronic Learning, Blended Learning, Student Attitudes, Intention
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Zualkernan, Imran A.; Raza, Anjana; Karim, Asad – Educational Technology & Society, 2012
Success of Wikipedia has opened a number of possibilities for crowd sourcing learning resources. However, not all crowd sourcing initiatives are successful. For developing countries, adoption factors like lack of infrastructure and poor teacher training can have an impact on success of such systems. This paper presents an exploratory study to…
Descriptors: Foreign Countries, Developing Nations, Web 2.0 Technologies, Computer Uses in Education
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Lee, Jung; Cerreto, Frank A.; Lee, Jihyun – Educational Technology & Society, 2010
According to Ajzen's Theory of Planned Behavior (TPB), behavioral intention (BI) is predicted by attitude toward the behavior (AB), subjective norm (SN), and perceived behavioral control (PBC). Previous studies using the TPB to explain teachers' intentions to use technology have resulted in inconsistent findings. This inconsistency might be due to…
Descriptors: Intention, Educational Technology, Technology Integration, Computer Uses in Education
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Park, Sung Youl – Educational Technology & Society, 2009
Many universities implement e-learning for various reasons. It is obvious that the number of e-learning opportunities provided by higher educational institutes continues to grow in Korea. Yet little research has been done to verify the process of how university students adopt and use e-learning. A sample of 628 university students took part in the…
Descriptors: Electronic Learning, Structural Equation Models, Self Efficacy, Intention