Hee-Sun Lee
Tufts University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Hee-Sun Lee.
Educational Assessment | 2008
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
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
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
Marcia C. Linn; Hee-Sun Lee; Robert Tinker; Freda Husic; Jennifer L. Chiu
Applied Measurement in Education | 2011
Hee-Sun Lee; Ou Lydia Liu; Marcia C. Linn
Journal of Research in Science Teaching | 2010
Ou Lydia Liu; Hee-Sun Lee; Marcia C. Linn
Journal of Research in Science Teaching | 2011
Ou Lydia Liu; Hee-Sun Lee; Marcia C. Linn
Journal of Science Education and Technology | 2010
Aaron Price; Hee-Sun Lee
international conference of learning sciences | 2008
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
Gey-Hong Gweon; Hee-Sun Lee; Chad Dorsey; Robert Tinker; William Finzer; Daniel Damelin