Xiaotian Han | Education | Best Researcher Award

Assoc. Prof. Dr. Xiaotian Han | Education | Best Researcher Award

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:

Scopus

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Halime Yıldırım hoş | Evaluation | Best Researcher Award

Mrs. Halime Yıldırım hoş | Evaluation | Best Researcher Award

Mrs. Halime Yıldırım hoş | Evaluation – Assistant Professor at İstanbul Medeniyet University, Turkey

Asst. Prof. Dr. Halime Yıldırım Hoş is a dedicated academic and researcher specializing in educational measurement and evaluation. Her career has been defined by her deep expertise in areas such as Item Response Theory (IRT), Mixture IRT Models, and analyzing respondent behaviors in assessments. She has made substantial contributions to the fields of educational assessment, norming studies, and the evaluation of national and international examinations. Throughout her career, she has worked on numerous national and international projects, focusing on educational practices and the development of measurement tools for educational systems. With her passion for improving assessment and evaluation methods, she continues to inspire both her students and fellow researchers.

Profile:

Google Scholar

Education:

Dr. Yıldırım Hoş’s academic journey began with a Bachelor’s degree in Mathematics Teaching from Gazi University in 2012. Her pursuit of advanced knowledge in the field led her to complete a Master’s degree in Measurement and Evaluation in Education from the same university in 2015. She then went on to earn her Ph.D. in the same field from Gazi University in 2022, where she focused on analyzing response styles in rating scales using hybrid IRT and multiple process IRT methods. Her academic background provides her with a strong foundation in research, which she has successfully applied to various aspects of educational measurement.

Experience:

Dr. Yıldırım Hoş has accumulated valuable teaching and research experience over the years. Beginning her academic career as a Research Assistant at Gazi University in 2013, she later moved to Istanbul Medeniyet University, where she held the same position until 2024. Currently, she serves as an Assistant Professor in the Department of Measurement and Evaluation at the Faculty of Education. Her teaching experience is complemented by her involvement in various academic and research projects, where she has contributed significantly to the development and application of measurement tools in education.

Research Interests:

Dr. Yıldırım Hoş’s research interests lie primarily in the areas of Item Bias, Item Response Theory (IRT), and Mixture IRT Models, with a particular focus on response behaviors in educational assessments. She is especially interested in examining how response styles impact the results of rating scales and the accuracy of measurement tools. Her work aims to improve the reliability and validity of assessment instruments used in national and international examinations, with a particular emphasis on enhancing the fairness of educational assessments. Dr. Yıldırım Hoş also investigates norming studies and the development of tools that support educational decision-making processes, with a focus on higher education assessment practices.

Awards:

Throughout her career, Dr. Yıldırım Hoş has received recognition for her academic achievements, including prestigious awards from TÜBİTAK. She was awarded the TÜBİTAK Domestic Master’s Scholarship Program (2211) and the TÜBİTAK Domestic Ph.D. Scholarship Program (2211), which were instrumental in her advanced studies and research endeavors. These awards reflect her academic excellence and the impact of her work in the field of educational measurement and evaluation. Her contributions to the field continue to garner recognition, solidifying her position as a leading researcher in her area of expertise.

Publications:

Dr. Yıldırım Hoş has made significant contributions to the academic literature in the field of educational measurement. Below are some of her key publications:

  1. Yıldırım Hoş, H., & Uysal Saraç, M. (2025). How does incorporating the response times into mixture modelling influence the identification of latent classes for mathematics literacy framework in PISA 2022? Education and Science, 2025(Supplement 1), 129–146. 📚
    • Cited by various articles related to educational assessment models.
  2. Yıldırım, H., & Büyüköztürk, Ş. (2018). Using the Delphi technique and focus-group interviews to determine item bias on the mathematics section of the level determination exam for 2012. Educational Sciences: Theory & Practice, 18, 447–470. DOI: 10.12738/estp.2018.2.0317. 📘
    • Cited by multiple studies on item bias detection in educational assessments.
  3. Büyüköztürk, Ş., Yılmaz, S., Özbay, Y., Eşici, H., Tomar, İ. H., Aliyev, R., Yıldırım Hoş, H., … & Akyılmaz, F. D. (2019). The effectiveness of addiction prevention training program of Turkey on improved acquisition of knowledge and emotional awareness about addiction. Addicta: The Turkish Journal on Addictions, 6(1), 115-131. DOI: 10.15805/addicta.2019.6.1.0005. 📑
    • Cited by addiction prevention research and educational program evaluations.
  4. Öztürk, Ö. M., Büyüköztürk, Ş., Aydın, G., Dinç, M., Işık, S., Yıldırım Hoş, H.,… & Yıldırım Seheryeli, M. (2020). The Effect of Turkish Green Crescent Society APTP program on students’ knowledge and emotional awareness about tobacco, alcohol, drug, and technology addiction. Addicta: The Turkish Journal on Addictions, 7(3), 180-198. DOI: 10.5152/ADDICTA.2020.20020. 📖
    • Cited by addiction-related educational program evaluations.
  5. Yıldırım Hoş, H., Uysal Saraç, M., & Büyüköztürk, Ş. (2018). Farklı örneklem büyüklüğü ve dağılımı koşullarında WLS ve Robust WLS yöntemlerinin karşılaştırılması. Elementary Education Online, 17(1), 431-439. DOI:10.17051/ilkonline.2018.413794. 📘
    • Cited by research comparing different statistical methods in educational assessments.
  6. Karakuş Şeren, S., Yıldırım, H., & Büyüköztürk, Ş. (2016). Üç faktörlü yeme ölçeğinin Türk kültürüne uyarlanması: Geçerlik ve güvenirlik çalışması. TAF Preventive Medicine Bulletin, 15(3), 229-237. DOI:10.5455/pmb.1-1446540396. 📚
    • Cited by cultural adaptation studies in psychological measurement tools.

Conclusion:

Asst. Prof. Dr. Halime Yıldırım Hoş is a distinguished researcher whose contributions to the field of educational measurement and evaluation have been instrumental in advancing the understanding and application of Item Response Theory (IRT), item bias detection, and response style modeling. Her academic achievements, demonstrated by her impactful publications, prestigious awards, and significant project involvements, place her as a top candidate for the Best Researcher Award. With an exceptional ability to integrate theory into practice, Dr. Yıldırım Hoş continues to shape the landscape of educational assessment. Her ongoing research and commitment to improving educational evaluation tools not only contribute to academia but also have a tangible impact on educational practices and policy development.