Assoc. Prof. Dr. Xiaotian Han | Education – Associate professor at Shanghai Normal University Tianhua College, China
Dr. Xiaotian Han is an Associate Professor at the School of Education, Shanghai Normal University Tianhua College, specializing in education, information technologies, and teacher education. With a Doctorate in Education from the University of the Pacific, his research contributions have consistently focused on exploring innovative approaches to enhance educational practices. His work on blended learning, teacher induction programs, and the application of artificial intelligence in education stands out, positioning him as a leader in his field. Dr. Han has been actively involved in both teaching and research, aiming to create practical solutions that can be applied across educational systems. Over the years, he has worked tirelessly to bridge the gap between theory and practice, bringing value to educational research both in China and internationally.
Profile:
Education:
Dr. Han’s educational journey began with his undergraduate degree in Tourism Management from Shanghai Normal University Tianhua College, where he earned his Bachelor’s degree in 2013. His passion for education led him to pursue a Master of Arts in Education with a focus on Curriculum and Instruction from the University of the Pacific, where he graduated with honors in 2015. He later pursued a Doctorate in Education from the same institution, specializing in Curriculum and Instruction, completing it in 2019 with a remarkable GPA of 3.86/4. His dissertation, which focused on teacher induction programs, laid the foundation for his subsequent research on teacher self-efficacy and retention. Dr. Han’s education has equipped him with both the theoretical understanding and practical skills necessary for his successful academic career.
Experience:
Dr. Han has a diverse and extensive teaching experience. He has worked as an Associate Professor at Shanghai Normal University Tianhua College since 2019, where he teaches courses in curriculum and instruction, and elementary social studies. Prior to his academic career in China, Dr. Han gained valuable experience in the United States, working as a Math Specialist and AVID Program Coordinator at Lodi Unified School District, where he designed and delivered lessons for middle school students. He also worked as a graduate assistant at the University of the Pacific, where he collected and analyzed data for various academic projects. These roles have allowed Dr. Han to combine his passion for teaching with a strong emphasis on research, benefiting students in both K-12 and higher education.
Research Interests:
Dr. Han’s research primarily revolves around the intersection of education and technology, particularly in the fields of blended learning, teacher education, and the integration of artificial intelligence (AI) into education. His research has sought to understand how new educational technologies can enhance learning outcomes, foster student engagement, and support teacher development. Dr. Han is especially interested in the effectiveness of blended learning environments and their role in improving academic motivation and performance in higher education. Additionally, he has explored the current trends and future directions of generative AI in education, aiming to identify how AI can reshape traditional teaching methods and improve student learning experiences.
Awards:
Dr. Han’s commitment to excellence in education and research has earned him numerous accolades throughout his career. Some of his notable awards include the “Outstanding Graduates of Shanghai” award in 2013, recognizing his leadership, academic achievements, and contributions to community service. Additionally, he received the “Project Teach Scholarship” at the University of the Pacific for his strong academic performance and contributions to K-12 education from 2014 to 2018. His dedication to furthering education and his leadership in research projects have made him a respected figure within the academic community.
Publications 📚:
Dr. Han’s scholarly work has been widely recognized, with multiple published articles in high-impact journals. Here are some of his key publications:
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Han, X. (2024a). Associations between effectiveness of blended learning, student engagement, student learning outcomes, and student academic motivation in higher education. Education and Information Technologies (SSCI, IF=4.8).
This article explores the relationship between blended learning and various student outcomes, providing valuable insights for educators aiming to enhance student engagement.
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Han, X. (2024b). Generative artificial intelligence for future education: Current research status, hotspots, and research trends. Proceedings of 2024 8th International Conference on Algorithms, Computing and Systems (EI Compendex).
Dr. Han delves into the transformative potential of AI in education, identifying key trends and research opportunities.
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Han, X. (2023a). Evaluating blended learning effectiveness: An empirical study from undergraduates’ perspectives using structural equation modeling. Frontiers in Psychology (SSCI, IF=3.8).
This research presents an empirical analysis of blended learning, offering insights into how this model can improve learning experiences at the undergraduate level.
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Han, X. (2023b). Associations between the helpfulness of teacher induction programs, teacher self-efficacy, and anticipated first-year teacher retention. Frontiers in Psychology (SSCI, IF=3.8).
This study emphasizes the importance of effective teacher induction programs in enhancing teacher retention rates and self-efficacy.
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Han, Y., & Han, X. (2023). Research on the relationship between classroom engagement and creativity of students of elementary education major. Research on Modern Basic Education (ISBN: 9787572007125).
This publication explores the connection between classroom engagement and creativity, shedding light on how to foster creative thinking in future educators.
Conclusion:
Dr. Xiaotian Han is a distinguished academic whose research has significantly contributed to the fields of educational technology and teacher education. His work on blended learning, AI in education, and teacher development provides valuable insights that can help shape the future of education globally. His dedication to teaching, coupled with his impressive research record, positions him as a highly deserving candidate for the “Best Researcher Award.” Dr. Han’s ability to bridge the gap between theoretical research and practical application demonstrates his commitment to improving educational practices. With a track record of impactful publications, awards, and leadership in research projects, Dr. Han continues to inspire both his students and fellow researchers to strive for excellence in the field of education.