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Sumitra Tatapudy; Rachel Potter; Linnea Bostrom; Anne Colgan; Casey J. Self; Julia Smith; Shangmou Xu; Elli J. Theobald – CBE - Life Sciences Education, 2024
The underrepresentation and underperformance of low-income, first-generation, gender minoritized, Black, Latine, and Indigenous students in Science, Technology, Engineering, and Mathematics (STEM) occurs for a variety of reasons, including, that students in these groups experience opportunity gaps in STEM classes. A critical approach to disrupting…
Descriptors: Equal Education, Outcomes of Education, Visualization, Reflection
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Christopher J. Casement; Laura A. McSweeney – Journal of Statistics and Data Science Education, 2024
As the use of data in courses that incorporate statistical methods has become more prevalent, so has the need for tools for working with such data, including those for data creation and adjustment. While numerous tools exist that support faculty who teach statistical methods, many are focused on data analysis or theoretical concepts, and there…
Descriptors: Statistics Education, Data Science, Educational Technology, Computer Software
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Jennifer C. Davidson; Dimitar Karadzhov; Graham Wilson – Field Methods, 2024
Cost-effective and user-friendly, mobile phone-assisted methods have remained underutilized in qualitative social science research. The scarce methodological guidance, together with recruitment and ethical challenges, has arguably stifled advancements in this area. COVID-19 exposed the need to better equip researchers with the expertise and tools…
Descriptors: Test Construction, Handheld Devices, Computer Oriented Programs, Surveys
Shah, Niral; Ortiz, Nickolaus; Christensen, Julie; Stroupe, David; Reinholz, Daniel – Educational Leadership, 2021
A crucial site of bias in classrooms is class discussions. A new free web-based tool developed by university researchers can help teachers actively monitor how their biases are affecting students in real-time.
Descriptors: Equal Education, Student Participation, Inclusion, Racial Bias
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Stoo Sepp; Sharon Tindall-Ford; Shirley Agostinho; Fred Paas – IEEE Transactions on Learning Technologies, 2024
This article presents a novel digital method of capturing finger-based gestures on touchscreen devices for the purpose of exploring tracing gestures in educational research. Given that tracing has been found to support cognition, learning, and problem solving in educational settings, data related to the performance of these gestures are…
Descriptors: Computer Oriented Programs, Tablet Computers, Data Collection, Problem Solving
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Birtwistle, Efsun; Schoedel, Ramona; Bemmann, Florian; Wirth, Astrid; Sürig, Christoph; Stachl, Clemens; Bühner, Markus; Niklas, Frank – International Journal of Testing, 2022
Digital technologies play an important role in our daily lives. Smartphones and tablet computers are very common worldwide and are available for everybody from a very early age. This trend offers the opportunity to track digital usage data for psychological and educational research purposes. The current paper introduces two research projects, the…
Descriptors: Handheld Devices, Computer Oriented Programs, Telecommunications, Computer Use
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Sisso, Danielle; Bass, Nicole; Williams, Immanuel – Teaching Statistics: An International Journal for Teachers, 2023
This paper provides introductory statistics instructors with the capacity to use engaging National Basketball Association (NBA) data within a web application to either strengthen students' understanding or introduce the concept of variance and one-way analysis of variance. Using engaging data within the classroom provides context to data that…
Descriptors: Statistics Education, Teaching Methods, Statistical Analysis, Introductory Courses
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Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education
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Robin Spring; Shanshan Lou – Journal of Advertising Education, 2024
The 26th annual Teaching Pre-Conference organized by the Advertising Division of the Association for Education in Journalism and Mass Communication focused on the topic of innovating data storytelling and visualization with AI and ChatGPT. Five prominent speakers from leading media companies and universities shared insights with advertising…
Descriptors: Advertising, Conferences (Gatherings), Journalism Education, Mass Media
Hollands, Fiona; Kushner, Anna – Phi Delta Kappan, 2021
Making evidence-based decisions in schools seems like an impossible task when hundreds of activities are available, the evidence base fails to address most of them, and budget deadlines are immovable. In addition, different stakeholders hold different views on what it means for a program, strategy, or intervention to "work." Fiona…
Descriptors: Evidence Based Practice, Decision Making, Cost Effectiveness, Program Implementation
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Danible, Kaitlin; Panizza, Chloe; Boushey, Carol; Kerr, Deborah; Zhu, Fengqing; Banna, Jinan C. – Journal of Extension, 2021
The mobile food record™ (mFR™) is a novel app that allows for the tracking of individual food waste and addresses the limitations of current methods to accurately quantify food waste. Extension educators may use data from the mFR™ to create educational initiatives for food waste prevention and education that may be implemented in settings such as…
Descriptors: Food, Measurement, Computer Oriented Programs, Extension Education
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Halpern, Arthur M.; Frye, Stephen L.; Marzzacco, Charles J. – Journal of Chemical Education, 2018
Scientific Data Analysis Toolkit (SDAT) is a rigorous, versatile, and user-friendly data analysis add-in application for Microsoft Excel for Windows (PC). SDAT uses the familiar Excel environment to carry out most of the analytical tasks used in data analysis. It has been designed for student use in manipulating and analyzing data encountered in…
Descriptors: Science Activities, Data Analysis, Spreadsheets, Computer Oriented Programs
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Managh, Amy J.; Reid, Peter; Knox, Matthew A. – Journal of Chemical Education, 2018
A new app, freely available for Windows computers, has been developed to simulate tuning of an inductively coupled plasma mass spectrometer, on the basis of optimization data collected using a sector-field instrument. The app allows students to adjust parameters, including the torch position, gas flows, radio-frequency power, and guard-electrode…
Descriptors: Computer Oriented Programs, Computer Software, Computer Simulation, Spectroscopy
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Juho Kahila; Henriikka Vartiainen; Matti Tedre; Eetu Arkko; Anssi Lin; Nicolas Pope; Ilkka Jormanainen; Teemu Valtonen – Informatics in Education, 2024
The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…
Descriptors: Personal Autonomy, Data, Children, Creativity
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Nelson, Brian C.; Bowman, Cassie; Bowman, Judd – Technology, Knowledge and Learning, 2017
Ask Dr. Discovery is an NSF-funded study addressing the need for ongoing, large-scale museum evaluation while investigating new ways to encourage museum visitors to engage deeply with museum content. To realize these aims, we are developing and implementing a mobile app with two parts: (1) a front-end virtual scientist called Dr. Discovery (Dr. D)…
Descriptors: Museums, Program Evaluation, Computer Oriented Programs, Handheld Devices
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