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Weigel, Emily G.; Angra, Aakanksha – Journal of College Science Teaching, 2023
In the information age, the acquisition of data literacy skills has become increasingly important for undergraduate student success, yet these skills are not emphasized in the lecture setting. Here we present a study to inspire educators to scaffold graph knowledge and interpretation into their classrooms. Specifically, we sought to understand how…
Descriptors: Science Instruction, Active Learning, Animal Behavior, Graphs
Danielle N. Maxwell; Jeffrey L. Spencer; Ethan A. Teich; Madeline Cooke; Braeden Fromwiller; Nathan Peterson; Linda Nicholas-Figueroa; Ginger V. Shultz; Kerri A. Pratt – Journal of Chemical Education, 2023
Reading and understanding scientific literature is an essential skill for any scientist to learn. While students' scientific literacy can be improved by reading research articles, an article's technical language and structure can hinder students' understanding of the scientific material. Furthermore, many students struggle with interpreting graphs…
Descriptors: Teaching Methods, Scientific Literacy, Science Instruction, Reading Comprehension
Liyanage, Dilhara; Lo, Stanley M.; Hunnicutt, Sally S. – Chemistry Education Research and Practice, 2021
A novel methodology has been developed to capture student interactions and engagement modes by mapping their discourse in Process Oriented Guided Inquiry Learning (POGIL) physical chemistry courses using graph theory and a modified ICAP ("Interactive," "Constructive," "Active," "Passive") framework. This…
Descriptors: Science Instruction, Chemistry, Inquiry, Teaching Methods
Hammett, Amy; Dorsey, Chad – Science Teacher, 2020
To learn with data, students need "data" to explore. This can be deceptive--data-rich experiences typically involve much more than a straightforward science lab. Solving real problems with data means identifying authentic questions that are meaningful to students and provide a foundation for deep inquiry. Such situations often lend…
Descriptors: Data Analysis, Problem Solving, Student Projects, Active Learning
Vaara, Riikka-Liisa; Gomes Sasaki, Daniel Guilherme – LUMAT: International Journal on Math, Science and Technology Education, 2019
This work address the preconceptions of first year engineering students about the kinematic graphs and the outcomes of a pedagogical strategy that relies on Predict -- Observe -- Explain learning method mediated by a video analysis software. The whole learning procedure was accompanied by a written material as students' worksheets which enabled a…
Descriptors: Graphs, Undergraduate Students, College Freshmen, Engineering Education
Wang, Hong-Syuan; Chen, Sufen; Yen, Miao-Hsuan – Physical Review Physics Education Research, 2021
This study aims to examine the effectiveness of metacognitive scaffolding in different inquiry tasks related to optics. Two high school classes participated in this study. One class, the treatment group (n = 33), which integrated metacognitive prompts into the simulation-based inquiry, was compared to the other class, the control group (n = 34),…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Science Process Skills, Teaching Methods
Webb, Sarah; Carla Curran, Mary – Science Activities: Classroom Projects and Curriculum Ideas, 2017
Graphing and calculating percentages are integral skills in a STEM curriculum. Teaching students how to create graphs allows them to identify numerical trends and to express results in a clear and concise manner. In this activity, students will remain engaged in the lesson by moving around the room and then work together to generate their own…
Descriptors: Science Instruction, STEM Education, Graphs, Natural Resources
Finzer, William; Busey, Amy; Kochevar, Randy – Science Teacher, 2018
Data-driven inquiry as a science practice and instructional approach can provide a powerful context for project-based learning (PBL). Students engage in data-driven inquiry when they explore a rich data set and observe patterns, ask questions suggested by the data, and pursue answers about underlying phenomena. Krajcik (2015) describes five…
Descriptors: Science Instruction, Teaching Methods, Data Analysis, Maps
Webber, Hannah; Nelson, Sarah J.; Weatherbee, Ryan; Zoellick, Bill; Schauffler, Molly – Science Teacher, 2014
Data literacy is complex. When students investigate the natural world, they must be able to gather data, organize it in tables and spreadsheets, analyze it in context, and describe and interpret it--usually as evidence to support a scientific argument. These skills are echoed in the science and engineering practices of the "Next Generation…
Descriptors: Science Instruction, Graphs, Science Process Skills, Data Analysis
Fatokun, J. O.; Fatokun, K. V. F. – Educational Research and Reviews, 2013
In this paper, we present the concept of problem-based learning as a tool for learning Mathematics and Chemistry, and in fact, all sciences, using life situations or simulated scenario. The methodology involves some level of brain storming. Here, active learning takes place and knowledge gained by students either way through a collaborative…
Descriptors: Problem Based Learning, Mathematics Instruction, Science Instruction, Chemistry
McFarland, Jenny – MathAMATYC Educator, 2010
As a college biology instructor, I often see graphs in lab reports that do not meet my expectations. I also observe that many college students do not always adequately differentiate between good and poor (or misleading) graphs. The activity described in this paper is the result of my work with students to improve their graphing literacy. The…
Descriptors: Graphs, Active Learning, Biology, College Faculty
Ueckert, Catherine Wilcoxson; Gess-Newsome, Julie – Science Teacher, 2008
When students understand content deeply, they recognize main concepts and understand the relationships among ideas. But the typical processes students use to study are generally not designed to generate conceptual understandings. Instead, they tend to become passive learners. In this article, the authors present three commonly used classroom…
Descriptors: Classroom Techniques, Learning Strategies, Active Learning, Worksheets
Peer reviewedWittrock, Cathy A.; Barrow, Lloyd H. – Science and Children, 2000
Focuses on inquiry-based science instruction for third grade elementary school students. Presents an activity on analyzing data using a graph. Explains what students learn from inquiry-based instruction. (YDS)
Descriptors: Active Learning, Elementary Education, Grade 3, Graphs
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Teaching Methods, Technological Literacy, Technology Uses in Education

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