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Liu, Ou Lydia; Rios, Joseph A.; Heilman, Michael; Gerard, Libby; Linn, Marcia C. – Journal of Research in Science Teaching, 2016
Constructed response items can both measure the coherence of student ideas and serve as reflective experiences to strengthen instruction. We report on new automated scoring technologies that can reduce the cost and complexity of scoring constructed-response items. This study explored the accuracy of c-rater-ML, an automated scoring engine…
Descriptors: Science Tests, Scoring, Automation, Validity
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Liu, Ou Lydia; Ryoo, Kihyun; Linn, Marcia C.; Sato, Elissa; Svihla, Vanessa – International Journal of Science Education, 2015
Although researchers call for inquiry learning in science, science assessments rarely capture the impact of inquiry instruction. This paper reports on the development and validation of assessments designed to measure middle-school students' progress in gaining integrated understanding of energy while studying an inquiry-oriented curriculum. The…
Descriptors: Energy, Science Education, Psychometrics, Case Studies
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Liu, Ou Lydia; Brew, Chris; Blackmore, John; Gerard, Libby; Madhok, Jacquie; Linn, Marcia C. – Educational Measurement: Issues and Practice, 2014
Content-based automated scoring has been applied in a variety of science domains. However, many prior applications involved simplified scoring rubrics without considering rubrics representing multiple levels of understanding. This study tested a concept-based scoring tool for content-based scoring, c-rater™, for four science items with rubrics…
Descriptors: Science Tests, Test Items, Scoring, Automation
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Lee, Hee-Sun; McNamara, Danielle; Bracey, Zoë Buck; Wilson, Christopher; Osborne, Jonathan; Haudek, Kevin C.; Liu, Ou Lydia; Pallant, Amy; Gerard, Libby; Linn, Marcia C.; Sherin, Bruce – Grantee Submission, 2019
Rapid advancements in computing have enabled automatic analyses of written texts created in educational settings. The purpose of this symposium is to survey several applications of computerized text analyses used in the research and development of productive learning environments. Four featured research projects have developed or been working on:…
Descriptors: Computational Linguistics, Written Language, Computer Assisted Testing, Scoring
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Lee, Hee-Sun; Liu, Ou Lydia; Linn, Marcia C. – Applied Measurement in Education, 2011
This study explores measurement of a construct called knowledge integration in science using multiple-choice and explanation items. We use construct and instructional validity evidence to examine the role multiple-choice and explanation items plays in measuring students' knowledge integration ability. For construct validity, we analyze item…
Descriptors: Knowledge Level, Construct Validity, Validity, Scaffolding (Teaching Technique)
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Liu, Ou Lydia; Lee, Hee-Sun; Linn, Marcia C. – Educational Assessment, 2010
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…
Descriptors: Inquiry, Active Learning, Science Achievement, Science Instruction
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Gerard, Libby F.; Ryoo, Kihyun; McElhaney, Kevin W.; Liu, Ou Lydia; Rafferty, Anna N.; Linn, Marcia C. – Journal of Educational Psychology, 2016
In 4 classroom experiments we investigated uses for technologies that automatically score student generated essays, concept diagrams, and drawings in inquiry curricula. We used the automatic scores to assign typical and research-based guidance and studied the impact of the guidance on student progress. Seven teachers and their 897 students…
Descriptors: Automation, Scoring, Guidance, Inquiry
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Liu, Ou Lydia; Lee, Hee-Sun; Linn, Marcia C. – Educational Assessment, 2011
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…
Descriptors: Science Tests, Multiple Choice Tests, Responses, Test Items
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Liu, Ou Lydia; Lee, Hee-Sun; Linn, Marcia C. – Journal of Research in Science Teaching, 2011
Science education needs valid, authentic, and efficient assessments. Many typical science assessments primarily measure recall of isolated information. This paper reports on the validation of assessments that measure knowledge integration ability among middle school and high school students. The assessments were administered to 18,729 students in…
Descriptors: Science Education, Item Response Theory, High School Students, Middle School Students
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Liu, Ou Lydia; Lee, Hee-Sun; Hofstetter, Carolyn; Linn, Marcia C. – Educational Assessment, 2008
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…
Descriptors: Standardized Tests, Scoring Rubrics, Psychometrics, Concept Mapping
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Lee, Hee-Sun; Linn, Marcia C.; Varma, Keisha; Liu, Ou Lydia – Journal of Research in Science Teaching, 2010
We 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. For the same set of science topics, the teachers used typical methods of instruction in the first year and online, visualization rich inquiry units in the second…
Descriptors: Teacher Surveys, Interaction, Statistical Analysis, Demonstration Centers
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Liu, Ou Lydia; Lee, Hee-Sun; Linn, Marcia C. – Journal of Research in Science Teaching, 2010
Teachers play a central role in inquiry science classrooms. In this study, we investigate how seven teacher variables (i.e., gender, experience, perceived importance of inquiry and traditional teaching, workshop attendance, partner teacher, use of technology) affect student knowledge integration understanding of science topics drawing on previous…
Descriptors: Knowledge Level, Teaching Methods, Predictor Variables, Educational Strategies