Name:

MOU Zhijia

Email:

ambitionyt@163.com

Research direction:

big data in education and learning analytics, personalized learning and services, teaching evaluation

Personal introduction: (text description about 500 words)

Mou Zhijia, PhD, Associate Professor, Master's Supervisor. Mainly engaged in research in the fields of education big data and learning analysis, personalized learning and services, teaching evaluation, etc., published 61 academic papers, including 43 CSSCI sources. Publish two monographs and textbooks. Hosted 5 provincial and ministerial level projects, including the Youth Fund for Humanities and Social Sciences Research of the Ministry of Education, the General Project of Jiangsu Provincial Social Science Fund, and the Key Project of Jiangsu Provincial Education Science Planning. Has won the second prize for excellent achievements in the "Jiangsu Province Social Science Application Research Excellence Project" by the Jiangsu Provincial Federation of Social Sciences in 2022, and the first prize for excellent teaching papers by young teachers at Wuxi University. Guide students to win the second prize for excellent undergraduate thesis in ordinary universities in Jiangsu Province, the second prize in the 11th National College Student Digital Media Technology Works and Creativity Competition, and the first prize in the i-Teach National College Student Digital Education Application Innovation Competition.

Learning Experience:

2013.9-2017.1 PhD in Distance Education from Beijing Normal University

2015.8-2016.8 University of Texas at Arlington cocultivation

2010.9-2013.7 Master's degree in Educational Technology from Shaanxi Normal University

2006.9-2010.7 Bachelor of Education Technology from Linyi University

Research projects conducted in the last five years (Max. 5 items)

1.In July 2018, a study on learning warning and intervention based on evaluation big data, 18YJC880068, Department of Social Sciences, Ministry of Education, 80000 yuan.

2. In July 2018, research on the design and application of intelligent evaluation tools based on learning and evaluation big data, C-a/2018/01/07, Office of Jiangsu Provincial Education Science Planning Leadership Group, 24000.

3. January 2022, Research on Personalized Learning Activity Design and Evaluation Supported by Multimodal Big Data, B/2022/01/167, Office of Jiangsu Provincial Education Science Planning Leadership Group, 16000 yuan.

4.In July 2022, a study on the value-added evaluation of Jiangsu university teachers based on education big data, 22JYB017, Jiangsu Philosophy and Social Science Planning Office, 50000 yuan.

5.In September 2023, International Comparative Study and Database Construction for Digital Education Monitoring and Evaluation, MOE-CIEM-20230018, Education Management Information Center of the Ministry of Education, 60000 yuan.

Representative academic papers (Max. 5 papers)

1. Mou Zhijia. Research on Personalized Learning and Services-A Perspective in the Education Big Data Environment [M]. Beijing: Guangming Daily Press, February 2022.

2. Mou Zhijia. Big Data in Education and Learning Analytics [M]. Beijing: Electronic Industry Press, November 2022.

3. Mou Zhijia. Rethinking and Explanation of Personalized Learning Theory in the Era of "Artificial Intelligence+" [J]. Journal of Distance Education, 2017, (3): 22-30.

4. Mou Zhijia. Multimodal Learning Analysis: New Growth Points in Learning Analysis Research [J]. e-Education Research, 2020, (5): 27-32

5. Mou Zhijia, Gao Yuting, Wu Fati Evidence based teacher value-added evaluation: Teaching effectiveness evaluation towards the intelligent era [J]. e-Education Research, 2022, (5): 17-25.