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20092024

Research activity per year

Personal profile

Professional information

Personal profile

!!! Please visit Dr Zhu's webpage (https://home.eduhk.hk/~jxzhu/) for the latest news.!!!


****NEWS****

  • A seminar on ShinyTAM is scheduled for March 21, 2024, from 16:00 to 17:00. The seminar will be conducted in a hybrid mode. You may choose to attend in person (D1-LP-06, EdUHK) or via Zoom. Please refer to this PDF file for more details or register here.
  • A new version of ShinyTAM was released on March 3, 2024.


Dr Jinxin ZHU is an Assistant Professor at the Department of Curriculum and Instruction at The Education University of Hong Kong (EdUHK). He received a bachelor’s degree from Beijing Normal University majoring in Mathematics and Applied Mathematics and a Ph.D. from EdUHK majoring in Educational and Psychological Measurement. Before re-joining EdUHK as an Assistant Professor, he worked as a Research Assistant Professor at the Department of Education Studies at Hong Kong Baptist University, a manager at the Assessment Technology & Research Division in the Hong Kong Examinations and Assessment Authority, a post-doctoral fellow at Assessment Research Centre at EdUHK, and a mathematics teacher at Fuyong Secondary School in Shenzhen, Guangdong, Mainland China.


His research focuses on digital assessment and learning, aiming to reduce teachers’ workload with digital tools allowing them to have more time and energy to help students to take an active role in the assessment and feedback process and become self-directed learners and thereby lifelong learners. Meanwhile, he applies rigorous data analytic methods (e.g., structural equation modeling, Rasch model, and multilevel modeling) to educational studies.

 

Research project:


  • Understanding university students' informal statistical thinking using a computer adaptive testing system: Instrument development (Start-up Research Grant, EdUHK $149,993, 04/2024 - 03/2025).
  • Understanding and facilitating pre-service teachers’ digital assessment literacy (Donation from Renshan Fortune Charity Association, Co-Principal Investigator, HK$ 2,000,000, 09/2023 - 08/2028).
  • Investigating the facilitators and barriers of mathematics teachers’ assessment literacy in the digital era: Instrument development and validation (GRF, Principal Investigator, HK$ 856,852, 11/2022 – 11/2025). 
  • Using ‘Big Data’ to support school improvement: insights from international large-scale assessment data sets (Start-up Grant, HKBU; Principal Investigator, HK$ 100,000, 11/2020-06/2023).


Accept Post-doctoral Fellow :

  • Researchers who have obtained a PhD degree after 1 Jan 2021 or will obtain a PhD degree by 31 August 2025 are welcome to contact me for the next run of RGC Postdoctoral Fellowship Scheme (研资局博士后奖学金计划).

Accept PhD (self-financed & Fellowship Scheme) students.

Accept EdD students (English & Chinese):

  • Please contact me after July 1st, 2024 about the PhD/EdD admission for the 2025/26 academic year.


-Preferred research areas include but not limited to

  • Digital Assessment and Learning (educational technology)
  • Data Analytics in Education (educational measurement and assessment)
  • Educational Psychology, specifically related to
  1. Mathematics/STEM Education
  2. Self-regulated Learning


-For either Post-doctoral Fellow / PhD / EdD application, please get in touch with Dr Zhu (online CV here) via email (jxzhu@eduhk.hk) with

  1. a cover letter stating your understanding of educational research and long-term career plan,
  2. a research proposal,
  3. a CV (please specify your research experience, English level; specify the language of the publication, if any), and
  4. other supporting documents such as transcripts of bachelor's and master’s degrees, certificates, published articles, awards, and other documents that might be helpful.
  • An informal test and an informal interview may be arranged before the formal application.
  • Preferred research areas include but are not limited to Digital/Online Assessment and Learning and Mathematics/STEM Education.
  • Willingness to learn or readiness to apply advanced quantitative research methods using Mplus or R and qualitative analysis using NVivo is desirable.
  • Responsible, fast learning, self-motivated, and meticulous are expected.


!!! Dr Zhu's project team also maintains a Xiaohongshu (49459350926) account to publish the latest news of his research team. You are welcome to follow this account. !!!

Research interests

  • Digital Assessment and Learning
  • Data Analytics in Education
  • Mathematics/STEM Education
  • Self-regulated Learning
  • Civic Education
  • Special Education

Teaching Interests

  • PRJ6002 Methods in Research for Learning
  • TSLS6066 Innovative Instructional Design

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