Data analysis reveals keys to student success

The Hechinger Report

Trilogy’s certainty has been nearly 3 million data points in the making. Early on, this survey was longer and Trilogy collected data on more than a dozen different metrics, but over the last few years it has become clear what matters most. At Trilogy, Chou sees data being used to inform the curriculum and student support as he never saw in the K-12 world. Many schools and districts collect even more data than Trilogy has.

Analysis: hundreds of colleges and universities show financial warning signs

The Hechinger Report

A total of 2,662 schools were included in the analysis, and 2,264 had enough data to be evaluated in every category. All data predates the pandemic. Our analysis of the stress test results found: Nationwide, more than 500 colleges and universities show warning signs in two or more metrics. And for public two-year colleges, the analysis checked enrollment, state and local funding and the ratio of tuition revenue to instructional costs.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Social Network Analysis Toolkit: Building Stronger Networks for EdClusters

Digital Promise

To aid EdClusters in developing this understanding, Digital Promise has created a new toolkit that delivers a crash course in Social Network Analysis (SNA). Ways to collect and analyze data. Options for mapping network data.

Use DataClassroom to Teach Graphing, Data Analysis and Statistics


DataClassroom helps teachers store, manipulate, and analyze data sets

Using DataBasic for Simple Data Analysis


I love teaching with visualized data: something as simple as running a text through Wordle (a word cloud tool) can reveal all sorts of fun things about what’s going on in a text through making patterns more visible. However, a lot of the tools for next-level data analysis aren’t particularly easy to use and can be overkill for simple lessons. It takes every column and turns it into a representation: bar charts for numerical data, and word clouds for text fields.

Data isn’t a 4-letter word

eSchool News

In the midst of a deadly pandemic and a presidential election, both of which are generating conflicting claims that may or may not be based on real data, teaching students to analyze the sources and presentation of online information and understand data has never been more important or timely.

Data 94

Vernier releases free Graphical Analysis app for Chromebooks

Educational Technology Guy

Vernier, makers of very popular sensors and data collection systems, have just released their free Graphical Analysis app for Chromebooks. This app was specifically designed for Chromebooks and allows you to collect and share scientific data using Chromebooks. Students connect to LabQuest2 interface equipment wirelessly to collect data from Vernier sensors. The app can then be used to create graphs, create annotations, and perform analysis with statistics.

Open Source Tools for Learning Data Analysis, Continuous Improvement, and Machine Learning

Iterating Toward Openness

And now for something completely different… I’m taking a pause from talking directly about open for a moment to share some resources I’ve recently found that have made my data life much more efficient and enjoyable. I spend a lot of my time working in the data generated by use of Lumen’s open courseware. I’m a huge fan of R and R Studio and use them regularly for data extraction, cleaning, and analysis.

IO Education: Consolidating Student Data to Drive and Empower Student Success


Administrative Solutions Education Technology Success Stories Learning Analytics Making the case for Education Technologies combine lms sis assessment data for predictive analytics improve retention graduation rates with better data integrate school data for analysis integrate school system data for analytics integrating siloed school data for better analysis predicting retention student success predicting school perseverance using all schools data for predictive analytics

Data 72

Teach Students to Analyze Data with Google Sheets by @aliciamotter

Teacher Tech

Teaching Data Analysis with Google Sheets A Guest Post by Alicia Motter Purposeful Technology I am always looking for ways to implement technologies purposefully in my classroom that meet State Standards while integrating NGSS and engaging students in research that they are interested in. The post Teach Students to Analyze Data with Google Sheets by @aliciamotter appeared first on Teacher Tech. Intermediate Sheets Data Analysis Google Sheets

Data 68

eduCLIMBER – Powerful Data Integration and Analysis that Teachers & Admins can Actually Use


Powerful data integration and analysis that teachers and admins can actually use. eduCLIMBER can position educators to work together to give students the supports they need to succeed. eduCLIMBER is. Please click on the post title to continue reading the full post. Thanks (and thanks for subscribing)!]. Administrative Solutions Assessment Learning Analytics Making the case for Education Technologies

Improving Frontline Workforce Talent Development with Data

Digital Promise

Adult education providers intend to deliver services to support adults in attaining the skills necessary to find and keep good jobs and sustain independent lives, but they worry a lack of data and data analysis capacity inhibits staff from evaluating and improving their services. A sneak peek at our Tapping Data for Frontline Development report. The post Improving Frontline Workforce Talent Development with Data appeared first on Digital Promise.

Data 151

Emerging technologies: a more detailed Gartner analysis

Bryan Alexander

Gartner focuses on the internet of things, security concerns, and information/data analysis. These innovations are driving user demand…” Big data meets the internet of things to spawn “Information of everything” We’re still waiting for serious internet of things platforms to emerge. This month Gartner Research offered a top-level forecast of where technologies are going over the next five years.

The Value of Usage Data as the First Step in Edtech Research

Later, schools used spreadsheets and written reports to determine usage, and developers had to wait months, possibly years to get and analyze efficacy data. Now, when usage data is available on a daily basis, developers and educators have a shared interest in that information. During their edWebinar, “ Edtech Usage Data: Key to Planning Efficacy Research,” Dr. Denis Newman, Co-founder of Evidentally, Inc., For both, subgroup analysis and avoiding selection bias are key.

Data 53

Using Task Analysis to Teach Daily Living Skills


Task analysis (TA) is a practice often used in the classroom to teach multi-step skills or behaviors related to academics, communication and social skills. Task analysis is used to break down complex skills into manageable, discrete steps. Task analysis can be easy to use as it often requires few materials, can be inexpensive and can be used in a variety of settings. Planning for Task Analysis. Tips for Implementing Task Analysis.

Analysis: Is Higher Ed Ready for the Tech Expectations of the Teens of 2022?


It should also be supported by data and demonstrable behaviors. All it might take for wearables would be a major, health data-related privacy breach. One overused catchphrase in education is that learning should be “student-centered.” But what if we took that to its logical conclusion and also made it the goal of our education technology predictions?

Data Driven Instruction: How Student Data Guides Formative Assessments

EdTech Magazine

Data Driven Instruction: How Student Data Guides Formative Assessments. When it comes to assessing student knowledge levels, data has empowered more schools to choose formative assessments versus summative assessments. .

Data 165

Talking Data Interoperability with the League of Innovative Schools

Digital Promise

Data interoperability has been identified as an area of primary concern for leaders across the Digital Promise League of Innovative Schools – in districts small and large, rural and urban, and everywhere in between. What does data interoperability mean to you and your district?

Data 217

Digital Tools Are Everywhere–and Largely Unused–in Many Schools, New Analysis Shows

Marketplace K-12

The vast majority of ed-tech licenses are not use "intensively" by districts, according to a new analysis sponsored by the company Brightbytes. The post Digital Tools Are Everywhere–and Largely Unused–in Many Schools, New Analysis Shows appeared first on Market Brief. Marketplace K-12 Data digital tools edtech Games / Apps Market Research

An analysis of achievement gaps in every school in America shows that poverty is the biggest hurdle

The Hechinger Report

Opportunity Explorer, Stanford Education Data Archive. In conjunction with this study, Stanford Education Data Archive released its vast data trove on an interactive website, the “ Opportunity Explorer ,” where anyone can see the test scores for every public school in the United States. The post An analysis of achievement gaps in every school in America shows that poverty is the biggest hurdle appeared first on The Hechinger Report.

Critical Analysis and Information Literacy


Judy Willis MD Brain-Based Learning Teach students to evaluate what data needs to be gathered, what characterizes fact versus opinion, and where to find the most current and useful information

3 ways our district avoids data overload

eSchool News

These tests generate a huge amount of data meant to guide instruction—but all of this information can be overwhelming if teachers don’t have an easy way to process it. There is such a thing as having too much data. We had a great data tool, but teachers weren’t using it. After making a few simple changes, however, we saw our teachers’ use of data begin to skyrocket. Collect student data in one simple place.

Data 63

40 Most Popular Ed-Tech Tools in K-12 Identified in New Analysis

Marketplace K-12

The study showed that half of the time schools access ed-tech tools is for operational purposes (such as using online gradebooks) and for research and data gathering. The post 40 Most Popular Ed-Tech Tools in K-12 Identified in New Analysis appeared first on Market Brief. Marketplace K-12 Assessments / Testing Data Formative Assessment Learning Management/Student Information Systems

4 Steps to Put School Data to Good Use


School and student data can be confusing and challenging to collect and use effectively. Ronald Williamson and Barbara Blackburn offer a four-step process to help educators and administrators collect and analyze data and support better teaching and student learning. Articles Data Management analysis Barbara Blackburn data goals priorities purpose Ronald Williamson statistics surveys

Data 87

Teaching tricks: Better data strategies to ease teacher workload


Based on my reading, I have garnered there are three main pressure points when it comes to time teachers are spending on work that is not teaching: Data management. Today we’ll focus on Data Management. Teaching tricks: Better data strategies. Tracking the right learning data.

Leveraging big data with connected content for stronger academic outcomes


The answer is Big Data. Generally speaking, Big Data is the collection of large sets of data. In this case, the data comes from a learning context and can be algorithmically analyzed for trends and patterns. Leveraging big data in a learning context. Data sharing.

Spatial Thinking & Critical Analysis: Teaching With Portal 2

TeachThought - Learn better.

Spatial Thinking & Critical Analysis: Teaching With Portal 2. Inste ad of making fake volcanoes the students design Portal 2 test chambers and then gather data about how other students complete their puzzle. The students are not just designing the level, but also taking their work a step farther with that data research. Ideas & Resources For Teaching With Portal 2; Spatial Thinking & Critical Analysis: Teaching With Portal 2.

New Personalized Learning Program Uses  Writing Analysis, Adaptive Learning Technology


The new program combines writing analysis technology, interactive practice and personalized learning. Literacy Tool Offers Wealth of Free Lesson Plans, Activities ] Redbird Language Arts & Writing delivers immediate feedback and charts an optimized path through the program based on each student's skillset and level of progress – while providing educators with data-driven insights about their students' learning.

How Data Science Can Help You Create Better Customer Experiences

EdNews Daily

And while the technology was all about sophisticated Artificial Intelligence, it used a whole lot of data and analyzed it in real-time to: ensure the authenticity of wins, and. This study of data has now grown into a dedicated field and Data Science learning is becoming a sought-after career. It is about gaining in-depth information out of large amounts of data, by its analysis. So, how can you improve customer experience with Data Science ?

Data 100

Using Vernier Data Tools on a Chromebook

Educational Technology Guy

You can even use them with Vernier Data Tools. Vernier is a huge name in data collection tools for science and math and they have been working to support Chromebooks for some time. Earlier this year they released their Graphical Analysis tool for Chromebooks (free) and they have continued to make their products work with Chromebooks. For the USB connection for the sensors, you need the USB connector and the Graphical Analysis Software.

University Data Science Programs Turn to Ethics and the Humanities


Data scientist Mark Madsen has been programming and crunching data long before buzzwords like artificial intelligence and machine learning were common. began receiving requests from local colleges and universities asking for tips about crafting their data-science curriculum. Madsen recently tweeted his frustration, spurring a conversation about ethics in data science curriculum, what’s missing, and where programs are already working to fill in the gap.

Data 117

Stories from the Road to Data Interoperability

Digital Promise

Schools are drowning in data. As they adopt more and more technology to support students’ learning, more and more data is generated—and most schools struggle to use this data effectively to improve teaching and learning. A common statement overheard among Chief Technology Officers: “We are data rich and information poor.”. One promising path to address this challenge is data interoperability : the seamless, secure, and controlled exchange of data between applications.

Data 166

New Data-Collection Technology for College-Level Chemistry

eSchool News

Vernier Software & Technology recently released new data-collection technology to engage college-level chemistry students in hands-on experimentation and data analysis. The new, cost-effective solutions—including Go Direct ® Mini GC , Go Direct ® Polarimeter , the Go Direct ® Cyclic Voltammetry System , the free Vernier Instrumental Analysis app, and free experiments—provide undergraduate students the opportunity to explore a wide range of chemistry concepts.

Data 42

Why bother with theory when you’ve got big data?

The Christensen Institute

Big data is hotter than ever. Every day, companies, recognizing these powerful trends, are making huge investments in artificial intelligence, machine learning, and data science. The most ardent promoters of big data even claim that as we master data, we won’t need the scientific method or theory building. Isn’t data—tangible, countable, data—more trustworthy than theory? In fact, data analysis has its limitations.

Data 202

Four Ways to Make NPS a More Actionable Metric


Surveying customers at the highest point of engagement and in real time allowed them to share and learn from the data through interaction, versus merely reading a one-dimensional report. That’s why the best product managers are taking the best of NPS – simplicity, universality and comparability – and combining it with behavioral, transactional and other operational data sources to get to the all-important why.

Survey 102