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A design framework for integrating artificial intelligence to support teachers’ timely use of knowledge-in-use assessments in K-12 STEM Classrooms

Artificial Intelligence (AI) technologies, including machine learning and data mining, have been extensively adopted to automate scoring of student responses to performance-based assessment tasks in classrooms, subsequently generating informative assessment reports. Although the innovative potential of these technologies is widely acknowledged, teachers often find it challenging to utilize these assessment data for instructional decisions.

Culturally and linguistically “Blind” or Biased? Challenges for AI Assessment of Models with Multiple Language Students

Investigating AI's role in educational assessments, this study compares AI- provided and teacher scores of hand-drawn scientific models by Multilingual Language Learners (MLLs) in elementary classrooms. Using Convolutional Neural Networks (CNN) for scoring, we aligned AI assessments with those of experienced teachers. The results show moderate agreement (Kappa = 0.326), with AI favoring mid-range scores, while teachers provided a broader score spectrum. This suggests AI's consistency may miss the interpretive nuances teachers offer.

Haudek, K. C., & Zhai, X. (2024). Examining the effect of assessment construct characteristics on machine learning scoring of scientific argumentation. International Journal of Artificial Intelligence in Education. 34(4) https://doi.org/10.1007/s40593-023

Haudek, K. C., & Zhai, X. (2024). Examining the effect of assessment construct characteristics on machine learning scoring of scientific argumentation. International Journal of Artificial Intelligence in Education. 34(4) https://doi.org/10.1007/s40593-023-00385-8

Elementary - Learning Series: Answering the Call
30 Jan 16:00

Answering the Call: MSELA hosts the Elementary Learning Series

You are invited to join colleagues at the "MSELA Presents: Elementary Learning Series - Answering the Call", a follow-up to the May 2024 conference "Elementary Science Matters - A Call to Action". This exciting series is free of charge to MSELA members, and only $10.00 for non-members. 

Upcoming dates are: January 30, May 21 and June 4, 2025, but it is NOT a requirement to attend all sessions.

Please Join Us! Advancing Equity in STEM Teacher Education, Feb 20, 2025, MSU Kellogg Center
20 Feb 16:00

Registration is open! "Advancing Equity" event, February 20, 2025

We are delighted to announce an upcoming event on Thursday, February 20, 2025, to be held at the MSU Kellogg Center from 9am until 4pm .

Please join colleagues, teachers, administrators, curriculum directors and other interested supporters of equity in STEM education for all students as we welcome members from the National Academies of Sciences, Engineering and Medicine to engage with our community. This will be a wonderful opportunity to share insights, ideas and suggestions on how to move equitable STEM education forward in Michigan. 

Wenxiu Tang photo

Wenxiu Tang

Visiting Scholar

Wenxiu is a visiting scholar in Curriculum & Instruction at Michigan State University. She is also pursuing her doctorate in Teacher Education at South China Normal University(2023-2027). Wenxiu earned her MSc. in Curriculum & Instruction(chemistry) at South China Normal University(2016-2019). She was a high school chemistry teacher for four years(2019-2023). Her research focuses on knowledge structure, project-based learning and microcomputer based laboratory(MBL).

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