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Gerard, Libby; Bradford, Allison; Linn, Marcia C. – Journal of Science Education and Technology, 2022
Guiding teachers to customize curriculum has shown to improve science instruction when guided effectively. We explore how teachers use student data to customize a web-based science unit on plate tectonics. We study the implications for teacher learning along with the impact on student self-directed learning. During a professional development…
Descriptors: Curriculum Development, Independent Study, Science Instruction, Web Based Instruction
Kucirkova, Natalia; Gerard, Libby; Linn, Marcia C. – British Journal of Educational Technology, 2021
Advances in technology have increased the opportunities for designers to personalise instruction based on student actions. We conducted semi-structured interviews with an international sample of educational professionals including researchers, teachers and designers, and reviewed interdisciplinary literature on personalisation to propose a…
Descriptors: Individualized Instruction, Instructional Design, Educational Research, Problems
Matuk, Camillia; Zhang, Jiayuan; Uk, Irina; Linn, Marcia C. – Journal of Research in Science Teaching, 2019
Inquiry instruction often neglects graphing. It gives students few opportunities to develop the knowledge and skills necessary to take advantage of graphs, and which are called for by current science education standards. Yet, it is not well known how to support graphing skills, particularly within middle school science inquiry contexts. Using…
Descriptors: Graphs, Inquiry, Middle School Students, Student Attitudes
Tansomboon, Charissa; Gerard, Libby F.; Vitale, Jonathan Michael; Linn, Marcia C. – AERA Online Paper Repository, 2016
While automated guidance in online units has been found to successfully support learning, students can sometimes feel alienated rather than motivated due to computerized guidance seeming impersonal. In this study, we explore ways to improve learning and motivation by personalizing adaptive guidance. Standard adaptive guidance is compared to more…
Descriptors: Web Based Instruction, Inquiry, Active Learning, Science Instruction
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
Vitale, Jonathan M.; Applebaum, Lauren; Linn, Marcia C. – Cognition and Instruction, 2019
Graphs illustrating complex scientific relationships require students to integrate multiple concepts and visual features into a coherent understanding. We investigate ways to support students in integrating their understanding of density concepts through a graph that is linked to a simulation depicting the relationship between mass, volume, and…
Descriptors: Graphs, Scientific Concepts, Concept Formation, Grade 8
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
Donnelly, Dermot F.; Namdar, Bahadir; Vitale, Jonathan M.; Lai, Kevin; Linn, Marcia C. – Journal of Research in Science Teaching, 2016
In this study, we explore how two different prompt types within an online computer-based inquiry learning environment enhance 392 7th grade students' explanations of evolution with three teachers. In the "elaborating" prompt condition, students are prompted to write explanations that support the accepted theory of evolution. In the…
Descriptors: Science Instruction, Evolution, Cues, Grade 7
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
Vitale, Jonathan M.; McBride, Elizabeth; Linn, Marcia C. – International Journal of Science Education, 2016
We compared two forms of automated guidance to support students' understanding of climate change in an online inquiry science unit. For "specific" guidance, we directly communicated ideas that were missing or misrepresented in student responses. For "knowledge integration" guidance, we provided hints or suggestions to motivate…
Descriptors: Climate, Change, Comparative Analysis, Science Instruction
Matuk, Camillia; Linn, Marcia C. – International Journal of Computer-Supported Collaborative Learning, 2018
Science is increasingly characterized by participation in knowledge communities. To meaningfully engage in science inquiry, students must be able to evaluate diverse sources of information, articulate informed ideas, and share ideas with peers. This study explores how technology can support idea exchanges in ways that value individuals' prior…
Descriptors: Middle School Students, Grade 7, Inquiry, Science Instruction
Svihla, Vanessa; Wester, Michael J.; Linn, Marcia C. – Learning: Research and Practice, 2018
This study is inspired by laboratory studies demonstrating that distributing study sessions over time better supports learning and retention than clustering sessions. We compare two implementations of a multi-day inquiry science unit: in the clustered instruction condition, students completed an inquiry unit in five consecutive class periods. In…
Descriptors: Inquiry, Science Instruction, Teaching Methods, Educational Technology
Ryoo, Kihyun; Linn, Marcia C. – Journal of Research in Science Teaching, 2014
We compared designs of guidance to support students while interacting with dynamic visualizations of complex scientific phenomena in inquiry instruction. Three hundred thirty-two 7th-grade students were randomly assigned to either a reading or a generating condition and completed a web-based inquiry unit focusing on energy concepts in…
Descriptors: Guidance, Visual Aids, Scientific Concepts, Inquiry
Tansomboon, Charissa; Gerard, Libby F.; Vitale, Jonathan M.; Linn, Marcia C. – International Journal of Artificial Intelligence in Education, 2017
Supporting students to revise their written explanations in science can help students to integrate disparate ideas and develop a coherent, generative account of complex scientific topics. Using natural language processing to analyze student written work, we compare forms of automated guidance designed to motivate productive revision and help…
Descriptors: Automation, Guidance, Revision (Written Composition), Natural Language Processing