Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Hee-Sun Lee is active.

Publication


Featured researches published by Hee-Sun Lee.


Educational Assessment | 2008

Assessing Knowledge Integration in Science: Construct, Measures, and Evidence

Ou Lydia Liu; Hee-Sun Lee; Carolyn Huie Hofstetter; Marcia C. Linn

In response to the demand for sound science assessments, this article presents the development of a latent construct called knowledge integration as an effective measure of science inquiry. Knowledge integration assessments ask students to link, distinguish, evaluate, and organize their ideas about complex scientific topics. The article focuses on assessment topics commonly taught in 6th- through 12th-grade classes. Items from both published standardized tests and previous knowledge integration research were examined in 6 subject-area tests. Results from Rasch partial credit analyses revealed that the tests exhibited satisfactory psychometric properties with respect to internal consistency, item fit, weighted likelihood estimates, discrimination, and differential item functioning. Compared with items coded using dichotomous scoring rubrics, those coded with the knowledge integration rubrics yielded significantly higher discrimination indexes. The knowledge integration assessment tasks, analyzed using knowledge integration scoring rubrics, demonstrate strong promise as effective measures of complex science reasoning in varied science domains.


Educational Assessment | 2010

Multifaceted Assessment of Inquiry-Based Science Learning

Ou Lydia Liu; Hee-Sun Lee; Marcia C. Linn

To improve student science achievement in the United States we need inquiry-based instruction that promotes coherent understanding and assessments that are aligned with the instruction. Instead, current textbooks often offer fragmented ideas and most assessments only tap recall of details. In this study we implemented 10 inquiry-based science units that promote knowledge integration and developed assessments that measure student knowledge integration abilities. To measure student learning outcomes, we designed a science assessment consisting of both proximal items that are related to the units and distal items that are published from standardized tests (e.g., Trends in International Mathematics and Science Study). We compared the psychometric properties and instructional sensitivity of the proximal and distal items. To unveil the context of learning, we examined how student, class, and teacher characteristics affect student inquiry science learning. Several teacher-level characteristics including professional development showed a positive impact on science performance.


Educational Assessment | 2011

An Investigation of Explanation Multiple-Choice Items in Science Assessment

Ou Lydia Liu; Hee-Sun Lee; Marcia C. Linn

Both multiple-choice and constructed-response items have known advantages and disadvantages in measuring scientific inquiry. In this article we explore the function of explanation multiple-choice (EMC) items and examine how EMC items differ from traditional multiple-choice and constructed-response items in measuring scientific reasoning. A group of 794 middle school students was randomly assigned to answer either constructed-response or EMC items following regular multiple-choice items. By applying a Rasch partial-credit analysis, we found that there is a consistent alignment between the EMC and multiple-choice items. Also, the EMC items are easier than the constructed-response items but are harder than most of the multiple-choice items. We discuss the potential value of the EMC items as a learning and diagnostic tool.


Science | 2006

Teaching and Assessing Knowledge Integration in Science

Marcia C. Linn; Hee-Sun Lee; Robert Tinker; Freda Husic; Jennifer L. Chiu


Applied Measurement in Education | 2011

Validating Measurement of Knowledge Integration in Science Using Multiple-Choice and Explanation Items.

Hee-Sun Lee; Ou Lydia Liu; Marcia C. Linn


Journal of Research in Science Teaching | 2010

An investigation of teacher impact on student inquiry science performance using a hierarchical linear model

Ou Lydia Liu; Hee-Sun Lee; Marcia C. Linn


Journal of Research in Science Teaching | 2011

Measuring Knowledge Integration: Validation of Four-Year Assessments

Ou Lydia Liu; Hee-Sun Lee; Marcia C. Linn


Journal of Science Education and Technology | 2010

The Effect of Two-dimensional and Stereoscopic Presentation on Middle School Students’ Performance of Spatial Cognition Tasks

Aaron Price; Hee-Sun Lee


international conference of learning sciences | 2008

Improving the design and impact of interactive, dynamic visualizations for science learning

Marcia C. Linn; Chris Quintana; Hsin-Yi Chang; Ji Shen; Jennifer L. Chiu; Douglas B. Clark; Muhsin Menekse; Cynthia M. D'Angelo; Sharon Schleigh; Stephanie Touchman; Kevin W. McElhaney; Keisha Varma; Aaron Price; Hee-Sun Lee


Bulletin of the American Physical Society | 2015

Tracking student progress in a game-like physics learning environment with a Monte Carlo Bayesian knowledge tracing model

Gey-Hong Gweon; Hee-Sun Lee; Chad Dorsey; Robert Tinker; William Finzer; Daniel Damelin

Collaboration


Dive into the Hee-Sun Lee's collaboration.

Top Co-Authors

Avatar

Marcia C. Linn

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Gey-Hong Gweon

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Freda Husic

University of California

View shared research outputs
Researchain Logo
Decentralizing Knowledge