This book explores the process of educatorsâ technology adoption, which is crucial for digital transformation in today's educational landscape. This book targets several key groups in the education sector, including educators, researchers, policymakers, and educational technology professionals.
This book explores the process of educatorsâ technology adoption, which is crucial for digital transformation in today's educational landscape. This book targets several key groups in the education sector, including educators, researchers, policymakers, and educational technology professionals.
Longwei Zheng is currently an Associate Professor at the School of Education, City University of Macau. His research interests include learning analytics, teaching analytics, and educational data mining.
Inhaltsangabe
1 Technology Adoption in Education 2 Exploring the Dynamics of Teachers' Technology Adoption through a Longitudinal Lens 3 Dynamics of Institutional Culture in Educational Technology Adoption 4 Technology Adoption in the Post-Epidemic Age 5 The Evolution of Teaching Artifacts 6 Implications for Educational Practice Appendix A. Non-Homogeneous Hidden Markov Model for Teachers' Technology Adoption Dynamics Appendix B. The Down-Scaling Non-Homogeneous Hidden Markov Model for Institutional Culture Transformation Appendix C. A modeling approach that allows transitions between non-adjacent states. Appendix D. Assessing Digital Teaching Artifact across Pandemic Phases Appendix E. The Downloadable Codes of Artifact Measurement
1 Technology Adoption in Education 2 Exploring the Dynamics of Teachers' Technology Adoption through a Longitudinal Lens 3 Dynamics of Institutional Culture in Educational Technology Adoption 4 Technology Adoption in the Post-Epidemic Age 5 The Evolution of Teaching Artifacts 6 Implications for Educational Practice Appendix A. Non-Homogeneous Hidden Markov Model for Teachers' Technology Adoption Dynamics Appendix B. The Down-Scaling Non-Homogeneous Hidden Markov Model for Institutional Culture Transformation Appendix C. A modeling approach that allows transitions between non-adjacent states. Appendix D. Assessing Digital Teaching Artifact across Pandemic Phases Appendix E. The Downloadable Codes of Artifact Measurement
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