Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 9 |
Descriptor
Source
Author
Ariel, Ellen | 1 |
Burda, Michal | 1 |
Butler, Jaime | 1 |
Choudhary, Devashish | 1 |
Fleischmann, Katja | 1 |
Fontichiaro, Kirstin | 1 |
Groth, Randall E. | 1 |
Hammerman, James K. | 1 |
Ip, Edward H. | 1 |
Johnson, Joseph | 1 |
Joo, Yong Lak | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 12 |
Journal Articles | 10 |
Non-Print Media | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 3 |
High Schools | 2 |
Secondary Education | 2 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 10 | 1 |
Middle Schools | 1 |
Audience
Teachers | 1 |
Location
Australia | 1 |
China | 1 |
Czech Republic | 1 |
Massachusetts | 1 |
New York | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Westgate, Martin J. – Research Synthesis Methods, 2019
The field of evidence synthesis is growing rapidly, with a corresponding increase in the number of software tools and workflows to support the construction of systematic reviews, systematic maps, and meta-analyses. Despite much progress, however, a number of problems remain, including slow integration of new statistical or methodological…
Descriptors: Computer Software, Statistical Analysis, Meta Analysis, Users (Information)
Groth, Randall E.; Butler, Jaime; Nelson, Delmar – Teaching Statistics: An International Journal for Teachers, 2016
Students can struggle to understand and use terms that describe probabilities. Such struggles lead to difficulties comprehending classroom conversations. In this article, we describe some specific misunderstandings a group of students (ages 11-12) held in regard to vocabulary such as "certain", "likely" and…
Descriptors: Statistical Analysis, Statistics, Probability, Misconceptions
Rankin, Jenny Grant – Online Submission, 2015
Data is critical, but data has not always lead to success. If data is not communicated clearly, the results can be disastrous. Design lets us communicate data so it can be understood. Dr. Rankin believes that "when we're fluent in visualizing our ideas, we can communicate them across global boundaries, across spoken language barriers, and…
Descriptors: Data, Information Utilization, Relevance (Education), Data Interpretation
Fontichiaro, Kirstin; Oehrli, Jo Angela – Knowledge Quest, 2016
As many states move forward with adoption or adaptation of the College, Career, and Civic Life (C3) Framework for Social Studies State Standards, Common Core State Standards, and/or Next Generation Science Standards, students are expected to be fluent with data: to collect and analyze it, create figures and tables, integrate quantitative…
Descriptors: Information Literacy, Data Collection, Data Analysis, Skill Development
Fleischmann, Katja; Ariel, Ellen – Contemporary Educational Technology, 2016
Understanding and trouble-shooting microscopic processes involved in laboratory tests are often challenging for students in science education because of the inability to visualize the different steps and the various errors that may influence test outcome. The effectiveness of gamification or the use of game design elements and game-mechanics were…
Descriptors: Science Instruction, Science Laboratories, Science Education, Educational Games
Liu, Ming; Pardo, Abelardo; Liu, Li – International Journal of Distance Education Technologies, 2017
Online collaborative writing tools provide an efficient way to complete a writing task. However, existing tools only focus on technological affordances and ignore the importance of social affordances in a collaborative learning environment. This article describes a learning analytic system that analyzes writing behaviors, and creates…
Descriptors: Collaborative Writing, Learner Engagement, Student Attitudes, Visualization
Stack, Sue; Watson, Jane – Australian Mathematics Teacher, 2013
There is considerable research on the difficulties students have in conceptualising individual concepts of probability and statistics (see for example, Bryant & Nunes, 2012; Jones, 2005). The unit of work developed for the action research project described in this article is specifically designed to address some of these in order to help…
Descriptors: Secondary School Mathematics, Grade 10, Mathematical Concepts, Probability
Zoubek, Lukas; Burda, Michal – International Working Group on Educational Data Mining, 2009
Identification of significant differences in sets of data is a common task of data mining. This paper describes a novel visualization technique that allows the user to interactively explore and analyze differences in mean values of analyzed attributes. Statistical tests of hypotheses are used to identify the significant differences and the results…
Descriptors: Secondary School Students, Foreign Countries, Data Analysis, Visualization
Ip, Edward H.; Leung, Phillip; Johnson, Joseph – Journal of Educational and Behavioral Statistics, 2004
We describe the design and implementation of a web-based statistical program--the Interactive Profiler (IP). The prototypical program, developed in Java, was motivated by the need for the general public to query against data collected from the National Assessment of Educational Progress (NAEP), a large-scale US survey of the academic state of…
Descriptors: Databases, Internet, Visualization, Statistical Analysis
Joo, Yong Lak; Choudhary, Devashish – Chemical Engineering Education, 2006
For decades, every chemical engineer has been asked to have a background in separations. The required separations course can, however, be uninspiring and superficial because understanding many separation processes involves conventional graphical methods and commercial process simulators. We utilize simple, user-friendly mathematical software,…
Descriptors: Visualization, Computation, Chemical Engineering, Engineering Education
Sturm-Beiss, Rachel – Journal of Statistics Education, 2005
Analysis of variance (ANOVA), a technique included in many introductory statistics courses, analyzes the relationship between a quantitative dependent variable and one or more independent qualitative variables. The nature of the relationship is expressed in a model with unknown parameters. Many textbooks emphasize the mechanics of the technique…
Descriptors: Statistical Analysis, Educational Technology, Computer Simulation, Statistics
Hammerman, James K.; Rubin, Andee – Statistics Education Research Journal, 2004
New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data,…
Descriptors: Computer Software, Data Analysis, Grade 6, Middle School Teachers