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Ou Lydia Liu

Researcher at Princeton University

Publications -  97
Citations -  3508

Ou Lydia Liu is an academic researcher from Princeton University. The author has contributed to research in topics: Higher education & Rasch model. The author has an hindex of 33, co-authored 94 publications receiving 2928 citations. Previous affiliations of Ou Lydia Liu include University of Iowa & University of California, Berkeley.

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Measuring Learning Outcomes in Higher Education: Motivation Matters

TL;DR: In this article, the authors found that students' self-report motivation significantly predicted test scores and a substantial performance gap emerged between students in different motivational conditions (effect size as large as.68).
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Assessing Critical Thinking in Higher Education: Current State and Directions for Next-Generation Assessment

TL;DR: In this paper, the authors provide a comprehensive review of critical thinking assessment by major frameworks in higher education and the workforce, existing assessments and their psychometric qualities, and challenges surrounding the design, implementation, and use of Critical thinking assessment.
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How do technology-enhanced inquiry science units impact classroom learning?

TL;DR: The authors investigated how student understanding of complex science topics was impacted when 27 teachers switched from typical to inquiry instruction in a delayed cohort comparison design study, and found significant main effects of inquiry instruction and teaching context as well as significant interaction effects between instruction and science course and between teaching context on student knowledge integration.
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Assessing learning progression of energy concepts across middle school grades: The knowledge integration perspective

TL;DR: This article used a construct-based assessment approach to measure learning progression of energy concepts across physical, life, and earth science contexts in middle school grades, and found that conservation items are associated with the highest knowledge integration levels, followed by transformation and source items.
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Assessing Knowledge Integration in Science: Construct, Measures, and Evidence.

TL;DR: In this article, the authors present the development of a latent construct called knowledge integration as an effective measure of science inquiry, which asks students to link, distinguish, evaluate, and organize their ideas about complex scientific topics.