Finding the Right Dataset
Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Finding datasets for students to analyze is not as easy as it looks! Increasingly, students from all fields of study are being required to analyze data. Although plenty of datasets are available, they’re often a poor fit for the requirements of the assignment (David, 2021; Hillier, 2022). In the development of statistics courses, we searched for data that could be used for discussions and projects. In this presentation, we will share promising datasets for student analysis that were found. The limitations and complexities of using real data will be discussed. We will also examine other options, including creating your own dataset and having every student generate a unique dataset to reduce plagiarism (Desai, 2020).
Description
Track: NexGen Learning
1. Educators will learn about available datasets to use in their courses (embracing emerging trends and opportunities).
2. Educators will learn about the limitations and complexities of using real data (innovation and exploration of teaching and learning tools).
3. Educators will learn how to create their own dataset (innovation and exploration of teaching and learning tools.
4. Educators will learn how students can create unique datasets to reduce plagiarism (innovation and exploration of teaching and learning tools).
All these outcomes will support the student experience focusing on engagement, accessibility and retention.
item.page.type
Presentation