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Download this tool as a printer-friendly PDF This resource has been designed as a step-by-step tool for educators interested in ways to use data to inform their instructional practice. This tool can be used by individuals or teams to guide the identification of a problem statement, selection of data sources, data analysis, action-planning, and adjustments […]

First Steps is our popular online learning tool for health care assistants.

Reflect, Revise, RetryThe final step is to take stock of your first experience with the flipped technique.  The notes you make about this experience may inform future revisions or inspire new flipped experiments.  We recommend undertaking a reflective process directly after you teach your first fli

Transform your data into actionable insights. Learn how to effectively use data and analytics to inform your marketing strategy

What are the conditions data has to meet in order to become actionable data? Discover some key aspects.

See all our data, visualizations, and writing on global education.

Text mining techniques have become critical for social scientists working with large scale social data, be it Twitter collections to track polarization, party documents to understand opinions and ideology, or news corpora to study the spread of misinformation. In the infographic shown in this blog,

A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and n-grams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.

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Is data the flying car of higher ed?

Processing continuous streams of data allows universities to improve student academic performance, safety initiatives and building maintenance on campus.

Abilene Christian University (ACU), a private university in the western region of the United States, uses alert system to serve at-risk students, IDEA evaluations to gather feedback to improve teaching, and data from the use of a learning management system Canvas to identify ways to improve student learning. . While colleges and universities seek to utilize big, complex and aggregated data to generate insights to support students, big data is limited in its use to design interventions due to limits it inherently has. Small data, or one-dimensional teaching and learning analytics, provide quality feedback to teachers and students. In this paper, we will discuss how Abilene Christian University (ACU), a private university in the western region of the United States, uses alert system to serve at-risk students, IDEA evaluations to gather feedback to improve teaching, and data from the use of a learning management system Canvas to identify ways to improve student learning by providing formative evaluation for faculty to improve their practices. Towards the end of the paper we will discuss what students can do to make informed choices about their learning.

The higher education community must set the table and invite others to help us define ethical practice and responsible use of student data in the rapi

Data science uses precise methods and platforms to extract insights from massive collections of information. Universities collect data…

See all our data, visualizations, and writing on global education.

IDEA is a nonprofit organization dedicated to improving student learning in higher education through analytics, resources, and advice.

This chapter describes an open learning analytics system focused on learning process measures and designed to engage instructors and students in an evidence-informed decision-making process to improv...