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Helix, Max R.; Cote, Laleh E.; Stachl, Christiane N.; Linn, Marcia C.; Stone, Elisa M.; Baranger, Anne M. – Chemistry Education Research and Practice, 2022
Understanding the impact of undergraduate research experiences (UREs) and course-based undergraduate research experiences (CUREs) is crucial as universities debate the value of allocating scarce resources to these activities. We report on the Berkeley Undergraduate Research Evaluation Tools (BURET), designed to assess the learning outcomes of UREs…
Descriptors: Chemistry, Undergraduate Students, Student Research, Science Instruction
Boda, Phillip A.; Bathia, Shruti; Linn, Marcia C. – Journal of Research in Science Teaching, 2021
Integrating sophisticated graphical analysis skills as they learn science is essential for K-12 students and emphasized in current standards. In this study, we iteratively designed a Graphing Integration Inventory (GII) over a three-year period, while also supporting students to develop their capabilities to use graphs to learn science content in…
Descriptors: Middle School Students, Graphs, Teaching Methods, Science Instruction
Gerard, Libby; Kidron, Ady; Linn, Marcia C. – International Journal of Computer-Supported Collaborative Learning, 2019
This paper illustrates how the combination of teacher and computer guidance can strengthen collaborative revision and identifies opportunities for teacher guidance in a computer-supported collaborative learning environment. We took advantage of natural language processing tools embedded in an online, collaborative environment to automatically…
Descriptors: Computer Assisted Testing, Student Evaluation, Science Tests, Scoring
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-raterâ„¢, for four science items with rubrics…
Descriptors: Science Tests, Test Items, Scoring, Automation
Ryoo, Kihyun; Linn, Marcia C. – Theory Into Practice, 2015
Typical assessment systems often measure isolated ideas rather than the coherent understanding valued in current science classrooms. Such assessments may motivate students to memorize, rather than to use new ideas to solve complex problems. To meet the requirements of the Next Generation Science Standards, instruction needs to emphasize sustained…
Descriptors: Secondary School Science, Middle School Students, Science Instruction, Biological Sciences
Lai, Kevin; Cabrera, Julio; Vitale, Jonathan M.; Madhok, Jacquie; Tinker, Robert; Linn, Marcia C. – Journal of Science Education and Technology, 2016
Interpreting and creating graphs plays a critical role in scientific practice. The K-12 Next Generation Science Standards call for students to use graphs for scientific modeling, reasoning, and communication. To measure progress on this dimension, we need valid and reliable measures of graph understanding in science. In this research, we designed…
Descriptors: Middle School Students, Secondary School Science, Science Instruction, Graphs
Vitale, Jonathan M.; Lai, Kevin; Linn, Marcia C. – Journal of Research in Science Teaching, 2015
We present a new system for automated scoring of graph construction items that address complex science concepts, feature qualitative prompts, and support a range of possible solutions. This system utilizes analysis of spatial features (e.g., slope of a line) to evaluate potential student ideas represented within graphs. Student ideas are then…
Descriptors: Scoring, Graphs, Scientific Concepts, Prompting
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
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)
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
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
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