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Hardy, Lisa; Dixon, Colin; Van Doren, Seth; Hsi, Sherry – Science Teacher, 2022
In science classrooms, students usually see and work with data that's intended to tell them right away about the natural world. Students then often treat the data we provide to them as factual, rather than as a source of evidence (Duschl 2008; Sandoval and Millwood 2005; Berland and Reiser 2009; McNeill and Berland 2017; Hancock, Kaput, and…
Descriptors: Data Collection, Data Analysis, Science Experiments, High School Students
Hardy, Lisa; Dixon, Colin; Hsi, Sherry – Journal of the Learning Sciences, 2020
This paper contributes a theoretical framework informed by historical, philosophical and ethnographic studies of science practice to argue that data should be considered to be actively produced, rather than passively collected. We further argue that traditional school science laboratory investigations misconstrue the nature of data and overly…
Descriptors: Data Collection, Data Analysis, Science Instruction, Grade 9
Reed, Megan H.; Jenkins, Tom; Kenyon, Lisa – Science Teacher, 2019
Nitrogen- or phosphorus-based fertilizers, used in agriculture, can run off into nearby waterways during periods of heavy rain or high flow and cause harmful blooms (Paerl et al. 2016), low oxygen (Joyce 2000), and decreased biodiversity (Sebens 1994). Studies of the effects wetlands can have on water and habitat quality (Verhoeven and Meuleman…
Descriptors: Natural Resources, Biodiversity, Grade 9, Ecology
Wallace-Spurgin, Mekca – International Journal of Technology in Education, 2020
In an effort provide access to devices and prepare students for the future, a small rural high school committed to becoming a high-tech school. However, data collected using the IPI-T process suggested teachers were typically the users of the technology, students were often disengaged, and teachers were asking students to participate in…
Descriptors: Technology Integration, Learner Engagement, Cognitive Processes, High School Students
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
Lund, Alana; Roemmele, Christopher; Roetker, Lisa; Smith, Steven – Science Teacher, 2018
The study of earthquakes can help students build connections between theoretical analysis and real-world applications. However, units on earthquakes typically struggle to bridge that gap between theory and application. Traditional class activities focus on measuring earthquakes, such as triangulating epicenters by analyzing P and S wave arrival…
Descriptors: Seismology, Emergency Programs, Science Activities, Teaching Methods
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Chang, Hedy N.; Gee, Kevin; Hennessy, Briana; Alexandro, David; Gopalakrishnan, Ajit – Attendance Works, 2021
This report describes how Connecticut took steps to collect consistent attendance data by learning mode -- remote, in-person and hybrid -- and publicly released data in a timely manner during the pandemic. For example, the Connecticut State Department of Education (CSDE) agreed upon a standard definition of attendance -- showing up to school for…
Descriptors: Attendance, COVID-19, Pandemics, Data Collection
Zheng, Qiujie; Lu, Yonggang – Teaching Statistics: An International Journal for Teachers, 2016
In the era of Big Data, because of diminishing cost of data collection and storage, a large number of statistical tests may even possibly be conducted all together by a high school student to seek for some "exciting" new scientific findings. In this article, we propose an interesting approach to introduce students to some important…
Descriptors: High School Students, Statistics, Data Collection, Information Storage
Moeller, Eliza; Seeskin, Alex; Nagaoka, Jenny – University of Chicago Consortium on School Research, 2018
The UChicago Consortium, Network for College Success, and the To&Through Project's new paper, "Practice-Driven Data: Lessons from Chicago's Approach to Research, Data, and Practice in Education," shares key lessons learned from Chicago's approach to using data to foster ongoing improvement in students' educational attainment. This…
Descriptors: Public Schools, Data Collection, Data Analysis, Educational Improvement
Gann, Courtney; Carpenter, Dan – Education and Urban Society, 2018
The purpose of this research study was to investigate the teaching and learning strategies used by homeschool parents with high school students. A qualitative case study was used which began with the administration of an open-ended questionnaire to a homeschool community in the southern United States. Twenty-nine parents completed the…
Descriptors: STEM Education, Teaching Methods, Learning Strategies, High School Students
Craven, Laura M.; Trygstad, Peggy J. – Horizon Research, Inc., 2020
The 2018 NSSME+ was based on a national probability sample of schools and computer science, mathematics, and science teachers in grades K-12 in the 50 states and the District of Columbia. The sample was designed to yield national estimates of course offerings and enrollment, teacher background preparation, textbook usage, instructional techniques,…
Descriptors: Comparative Analysis, Beginning Teachers, Experienced Teachers, Mathematics Teachers
Taylor, Katie Headrick; Silvis, Deborah; Kalir, Remi; Negron, Anthony; Cramer, Catherine; Bell, Adam; Riesland, Erin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2019
A project called Mobile City Science (MCS), a partnership between the University of Washington, New York Hall of Science, the Digital Youth Network, and two high schools, leverages young people's proclivity for on-the-move digital engagement to re-place and mobilize learning through public, community settings that youth identify as being relevant…
Descriptors: Educational Technology, Technology Uses in Education, College School Cooperation, High Schools
Utami, Wiwik Sri; Sumarmi; Ruja, I. Nyoman; Utaya, Sugeng – Journal of Education and Practice, 2016
The purpose of this paper is to develop Geography skills for learners in high school. It is based on the demands of the Curriculum 2013 which emphasizes the achievement of competence. Curriculum 2013 is designed to provide the broadest possible learning experience for students in developing the ability to behave, to have the understanding, to have…
Descriptors: Geography, Geography Instruction, Secondary Education, High School Students
Chen, Li-Ling – Journal of Educational Technology Systems, 2019
Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…
Descriptors: Data Analysis, Data Collection, Intervention, Data Use