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Iva Božovic – Journal of Political Science Education, 2024
This work reports on the implementation of a self-contained data-literacy exercise designed for use in undergraduate classes to help students practice data literacy skills such as interpreting and evaluating evidence and assessing arguments based on data. The exercises use already developed data-visualizations to test and develop students' ability…
Descriptors: Data Use, Teaching Methods, Data, Information Literacy
Jane Watson; Noleine Fitzallen; Ben Kelly – Mathematics Education Research Journal, 2024
Incorporating an evidence-based approach in STEM education using data collection and analysis strategies when learning about science concepts enhances primary students' discipline knowledge and cognitive development. This paper reports on learning activities that use the nature of viscosity and the power of informal statistical inference to build…
Descriptors: Elementary School Students, Grade 5, STEM Education, Statistics
Kim, Albert Y.; Hardin, Johanna – Journal of Statistics and Data Science Education, 2021
We provide a computational exercise suitable for early introduction in an undergraduate statistics or data science course that allows students to "play the whole game" of data science: performing both data collection and data analysis. While many teaching resources exist for data analysis, such resources are not as abundant for data…
Descriptors: Data Collection, Data Analysis, Statistics Education, Undergraduate Students
Camillia Matuk; Ralph Vacca; Anna Amato; Megan Silander; Kayla DesPortes; Peter J. Woods; Marian Tes – Information and Learning Sciences, 2024
Purpose: Arts-integration is a promising approach to building students' abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this…
Descriptors: Middle School Teachers, Art Education, Art Teachers, Data
Jean Philippe Décieux – Sociological Methods & Research, 2024
The risk of multitasking is high in online surveys. However, knowledge on the effects of multitasking on answer quality is sparse and based on suboptimal approaches. Research reports inconclusive results concerning the consequences of multitasking on task performance. However, studies suggest that especially sequential-multitasking activities are…
Descriptors: Online Surveys, Time Management, Handheld Devices, Learning Activities
Anthony Fernandes; Ksenija Simic-Muller; Travis Weiland – Mathematics Teacher Educator, 2025
Racism impacts the lives of students who identify as Black, Indigenous, or People of Color (BIPOC) in a myriad of ways. It is important that future teachers go beyond individual acts of racism to understand how racism operates as a system. To this end, we designed and implemented a statistical investigation with 13 preservice teachers using real…
Descriptors: Preservice Teachers, Racism, Statistical Data, Statistics Education
Sharma, Sashi; Sharma, Shweta; Doyle, Phil; Marcelo, Louis; Kumar, Daniel – Teachers and Curriculum, 2021
Learning about probability can pose difficulties for students at all levels. Performing probability experiments using games can encourage students to develop understandings of probability grounded in real events. In this reflective paper, we explore the thinking of a group of students and teachers as they reasoned about experimental and…
Descriptors: Statistics Education, Probability, Educational Games, Learning Activities
Faucon, Louis; Olsen, Jennifer K.; Haklev, Stian; Dillenbourg, Pierre – Journal of Learning Analytics, 2020
In classrooms, some transitions between activities impose (quasi-)synchronicity, meaning there is a need for learners to move between activities at the same time. To make real-time decisions about when to move to the next activity, teachers need to be able to balance the progress of their students as they work at different paces. In this paper, we…
Descriptors: Classroom Techniques, Prediction, Learning Activities, Student Behavior
Angelos Giannoulas; Antonios Kalamatianos; Kalliope Kounenou – Online Learning, 2025
During the COVID-19 pandemic, education systems policymakers realized the importance of being able to communicate using technology and to fulfill their academic obligations. As a consequence, a different approach to education followed: blended learning. A literature review revealed a lack of psychometric tools related to blended teaching readiness…
Descriptors: Greek, Blended Learning, Readiness, Measures (Individuals)
Sobotka, Alex J.; Janney, Benjamin A.; Kidd, Aaron E. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2023
Graphical representations appear everywhere in modern society. Their ubiquity has, in part, justified graph literacy as a core competency in education. Graph literacy - the capacity to read and interpret graphs - consists of understanding features, identifying variables, interpreting trends, and forming real-world connections. Experts and novices…
Descriptors: Graphs, Literacy, Interpretive Skills, Data Interpretation
Jelena Mitic; Slobodanka Djenic – Interactive Learning Environments, 2024
The main aim of this research was to improve a blended learning course, by adding specific online activity that will improve learning outcomes and enable producing, collecting and analysing educational data. Moodle LMS, a widely used, well-known learning environment, was used for realisation of the online activity. Data collected over LMS Moodle…
Descriptors: Educational Improvement, Outcomes of Education, Data, Blended Learning
Hollylynne S. Lee; Emily P. Thrasher; Matt Grossman; Gemma F. Mojica; Bruce Graham; Adrian Kuhlman – Grantee Submission, 2023
This paper presents the design of an innovative platform to support teachers' personalized learning related to teaching statistics and data science in grades 6-12 (http://instepwithdata.org). Through a study of 32 pilot users, the authors describe how teachers utilized supports such as personalization surveys, tracking of progress on a dashboard,…
Descriptors: Secondary School Teachers, Faculty Development, Statistics Education, Data Science
Pedagogy of Teaching with Large Datasets: Designing and Implementing Effective Data-Based Activities
O'Reilly, Catherine M.; Josek, Tanya; Darner, Rebekka D.; Fortner, Sarah K. – Biochemistry and Molecular Biology Education, 2022
Integrating the use of large datasets into our teaching provides critical and unique opportunities to build students' skills and conceptual knowledge. Here, we discuss the core components needed to develop effective activities based on large datasets, which align with the 5E learning cycle. Data-based activities should be structured around a…
Descriptors: Instructional Design, Learning Activities, Data Analysis, Computer Software
Leanne Bowler; Irene Lopatovska; Mark S. Rosin – Information and Learning Sciences, 2024
Purpose: The purpose of this study is to explore teen-adult dialogic interactions during the co-design of data literacy activities in order to determine the nature of teen thinking, their emotions, level of engagement, and the power of relationships between teens and adults in the context of data literacy. This study conceives of co-design as a…
Descriptors: Librarians, Adolescents, Language Patterns, Public Libraries
Deyner Bolaño; Darwin Peña-González; Roberto Torres – Mathematics Teaching Research Journal, 2024
The purpose of this study was to analyze the activities in the Problem-Based Learning (PBL) methodology among high school students when solving problems related to the field of plane figures, both in extra-mathematical and intra-mathematical environments. The research was qualitative and constituted a case study. The technique used to select the…
Descriptors: Learning Activities, Problem Based Learning, Grade 6, Grade 7