Abstract:
Teachers' technology adoption primarily aims to integrate technology into the curriculum and to improve teaching and learning. Teaching artifacts encapsulate the attribut...Show MoreMetadata
Abstract:
Teachers' technology adoption primarily aims to integrate technology into the curriculum and to improve teaching and learning. Teaching artifacts encapsulate the attributes that can reflect teacher expertise in the authentic context. This study inspects the implicit quality of teaching artifacts to examine teachers' technology adoption throughout the evolution process of teaching artifacts. We demonstrate how patterns within the artificial synthesis of digital tools and teaching practice can be identified by examining the technology-specified quality of digital artifacts shaped by teachers of a primary school in Shanghai. To address the potential challenges of artifact analysis, we conduct a set of semiautomatic processes to manage the quality properties of teaching artifacts and measure quality indicators by training a series of automatic annotations. The artifact quality changes over nine semesters demonstrated that teachers increase technology flexibility, content variety, instruction diversity, and richness of artifacts as their technological understanding gradually improves. Other than the mainstream technology adoption research, this study revealed details regarding technology adoption: the introduction of new technology in schools should involve the enhancement of the technological understanding of teachers, the encouragement of teachers to adapt each component of their teaching practice to technological contexts, and the quality and use frequency of artifacts. Moreover, the proposed inspection of artifact quality can reflect the teacher's adoption process in an unconstrained environment. The artifact analytic approaches we created can contribute to the technology adoption from a more objective perspective.
Published in: IEEE Transactions on Learning Technologies ( Volume: 16, Issue: 6, December 2023)
Funding Agency:
Shanghai Institute of AI for Education, East China Normal University, Shanghai, China
Longwei Zheng received the Ph.D. degree in educational technology from the East China Normal University, Shanghai, China, in 2019.
He is currently an Associate Research Fellow with the Shanghai Institute of AI for Education, East China Normal University. His research interests include learning analytics, teaching analytics, and educational data mining.
Longwei Zheng received the Ph.D. degree in educational technology from the East China Normal University, Shanghai, China, in 2019.
He is currently an Associate Research Fellow with the Shanghai Institute of AI for Education, East China Normal University. His research interests include learning analytics, teaching analytics, and educational data mining.View more
Department of Education Information Technology, East China Normal University, Shanghai, China
Department of Educational Technology, Faculty of Education, Shandong Normal University, Jinan, China
Chao Wang received the Ph.D. degree in educational technology from East China Normal University, Shanghai, China, in 2022.
She is currently a Lecturer with the Department of Educational Technology, Shandong Normal University, Jinan, China. Her research interests include learning analytics, particularly multimodal classroom teaching and learning analytics, classroom teaching behavior data mining, and their application for t...Show More
Chao Wang received the Ph.D. degree in educational technology from East China Normal University, Shanghai, China, in 2022.
She is currently a Lecturer with the Department of Educational Technology, Shandong Normal University, Jinan, China. Her research interests include learning analytics, particularly multimodal classroom teaching and learning analytics, classroom teaching behavior data mining, and their application for t...View more
Department of Education Information Technology, East China Normal University, Shanghai, China
Tong Liu received the master's degree in educational technology from Nanjing Normal University, Nanjing, China, in 2019. He is currently working toward the Ph.D. degree in educational technology with East China Normal University, Shanghai, China.
His research interests include learning analytics, educational data mining, and AI in education.
Tong Liu received the master's degree in educational technology from Nanjing Normal University, Nanjing, China, in 2019. He is currently working toward the Ph.D. degree in educational technology with East China Normal University, Shanghai, China.
His research interests include learning analytics, educational data mining, and AI in education.View more
Department of Education Information Technology, East China Normal University, Shanghai, China
Xiaoqing Gu received the Ph.D. degree in educational technology from East China Normal University, Shanghai, China, in 2004.
She is currently a Professor with the Department of Education Information Technology, East China Normal University. Her main research interests include learning science, learning design, CSCL, and AIED.
Xiaoqing Gu received the Ph.D. degree in educational technology from East China Normal University, Shanghai, China, in 2004.
She is currently a Professor with the Department of Education Information Technology, East China Normal University. Her main research interests include learning science, learning design, CSCL, and AIED.View more
Contents Shanghai Institute of AI for Education, East China Normal University, Shanghai, China
Longwei Zheng received the Ph.D. degree in educational technology from the East China Normal University, Shanghai, China, in 2019.
He is currently an Associate Research Fellow with the Shanghai Institute of AI for Education, East China Normal University. His research interests include learning analytics, teaching analytics, and educational data mining.
Longwei Zheng received the Ph.D. degree in educational technology from the East China Normal University, Shanghai, China, in 2019.
He is currently an Associate Research Fellow with the Shanghai Institute of AI for Education, East China Normal University. His research interests include learning analytics, teaching analytics, and educational data mining.View more
Department of Education Information Technology, East China Normal University, Shanghai, China
Department of Educational Technology, Faculty of Education, Shandong Normal University, Jinan, China
Chao Wang received the Ph.D. degree in educational technology from East China Normal University, Shanghai, China, in 2022.
She is currently a Lecturer with the Department of Educational Technology, Shandong Normal University, Jinan, China. Her research interests include learning analytics, particularly multimodal classroom teaching and learning analytics, classroom teaching behavior data mining, and their application for teacher professional development.
Chao Wang received the Ph.D. degree in educational technology from East China Normal University, Shanghai, China, in 2022.
She is currently a Lecturer with the Department of Educational Technology, Shandong Normal University, Jinan, China. Her research interests include learning analytics, particularly multimodal classroom teaching and learning analytics, classroom teaching behavior data mining, and their application for teacher professional development.View more
Department of Education Information Technology, East China Normal University, Shanghai, China
Tong Liu received the master's degree in educational technology from Nanjing Normal University, Nanjing, China, in 2019. He is currently working toward the Ph.D. degree in educational technology with East China Normal University, Shanghai, China.
His research interests include learning analytics, educational data mining, and AI in education.
Tong Liu received the master's degree in educational technology from Nanjing Normal University, Nanjing, China, in 2019. He is currently working toward the Ph.D. degree in educational technology with East China Normal University, Shanghai, China.
His research interests include learning analytics, educational data mining, and AI in education.View more
Department of Education Information Technology, East China Normal University, Shanghai, China
Xiaoqing Gu received the Ph.D. degree in educational technology from East China Normal University, Shanghai, China, in 2004.
She is currently a Professor with the Department of Education Information Technology, East China Normal University. Her main research interests include learning science, learning design, CSCL, and AIED.
Xiaoqing Gu received the Ph.D. degree in educational technology from East China Normal University, Shanghai, China, in 2004.
She is currently a Professor with the Department of Education Information Technology, East China Normal University. Her main research interests include learning science, learning design, CSCL, and AIED.View more
