Generate Actionable Data

A broad collaboration of stakeholders, from teachers and administrators to researchers and designers, is a key element of design-based implementation research, a school change approach

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

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

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.

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,

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

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

Dive into our blog page, your go-to hub for student tips, resources, and guides. Stay informed and inspired throughout your educational journey!

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

There is a worldwide concern that learning outcomes have not kept pace with the expansion of education. The extent of the learning deficit is largely unknown because many countries have few systematic data on who is learning and who is not. Learning assessments provide data on the status of learning, which can be used to monitor the quality of systems and student learning outcomes. Regular monitoring can reveal changes over time in response to interventions to improve student outcomes, providing feedback and additional data for decision-making.

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

Are data analytic trends really all that great, and are they really able to reshape the education technology industry?

The rapid growth in data generated and collected during educational activities has great potential to inform how we teach and learn. In creating data-

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.

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...

Presenting data with empathy and context leads business users to better decision-making.

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 […]

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

Educators need to translate data insights into instructional actions to harness the potential of student data. This guide will explore various…

Making Big Data Matter - David A. Williams of Opportunity Insights discusses translating research to policy.

Data visualization is the process of presenting large amounts of data in a visual form that helps to reveal meaningful patterns in the data.

This chapter reviews actionable data use—both as an umbrella term and as a specific concept—developed in three different traditions that data/information can in...

Designing a Monitoring and Evaluation Plan (M&E Plan) Step by Step in 2022Hi Guys,Hope you are feeling fantastic. If you are here for the very first time my ...