A systemic approach to processes of power in learning organizations: part I – literature, theory, and methodology of triple loop learning
Loop Learning
Assumptions and triple loop learning | by Thomas Aston | Medium
Triple loop learning
Using Data to Inform Instruction | Great Schools Partnership
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 […]
Measuring Implementation to Impact: A GUIDE TO EVALUATING PROFESSIONAL DEVELOPMENT
Reflection in action | First Steps | RCN
First Steps is our popular online learning tool for health care assistants.
5. Reflect | Flipping Kit
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
The top 10 strategies to turn data into actionable analytics | Smart Insights
Transform your data into actionable insights. Learn how to effectively use data and analytics to inform your marketing strategy
What makes data actionable data?
What are the conditions data has to meet in order to become actionable data? Discover some key aspects.
Measuring education: What data is available? - Our World in Data
See all our data, visualizations, and writing on global education.
From preprocessing to text analysis: 80 tools for mining unstructured data — SAGE Ocean | Big Data, New Tech, Social Science
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,
Quantitative Analysis of Textual Data • quanteda
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.
Learning Analytics: Leveraging Education Data [Infographic] | InformED
Dive into our blog page, your go-to hub for student tips, resources, and guides. Stay informed and inspired throughout your educational journey!
Learning Analytics and Campus Instructional Design Teams | Technology and Learning
Is data the flying car of higher ed?
Improving Student Outcomes with Real-Time Data Analytics & Big Data
Processing continuous streams of data allows universities to improve student academic performance, safety initiatives and building maintenance on campus.
The Case for Small Data In Higher Education
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.
Setting the Table: Responsible Use of Student Data in Higher Education | EDUCAUSE
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
5 Ways Data Science Is Improving Higher Education - Towards Data Science
Data science uses precise methods and platforms to extract insights from massive collections of information. Universities collect data…
Tertiary Education - Our World in Data
See all our data, visualizations, and writing on global education.
PaperIDEA_64.pdf
IDEA is a nonprofit organization dedicated to improving student learning in higher education through analytics, resources, and advice.
Incorporating Learning Analytics in the Classroom - Thille - 2017 - New Directions for Higher Education - Wiley Online Library
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...