In this edWebinar, how data can be used to help guide student learning and how to utilize this information to develop instructional plans and strategies.
Tactical student data privacy questions like “What can I do right now?” should be asked by all CIO’s, teachers, administrators and policymakers in this changing landscape of data access, student privacy and interoperability. In a recent edWebinar, Dr. Larry Fruth, Executive Director and CEO of the Access 4 Learning (A4L) Community, and Jena Draper, Founder and General Manager at CatchOn, discussed head on the challenges school districts face with data access and student privacy. Dr. Fruth suggests that school districts hit the ground running by adding privacy components and security before it becomes a “what should I do right now?” situation. Draper adds to this suggestion by asserting that school districts need to look at data access from all angles, from the outer layer of the infrastructure to the rogue apps used in classrooms, to create a sound data access and student data privacy plans.
In this edWebinar, discover some easy-to-implement student data privacy and monitoring best practices, including steps to better safeguard your data.
What’s the best way to know what’s going on in schools? The answer, of course, is to visit the school, talk to the staff and students, and observe the learning process. What’s the easier way? Looking at proficiency data. For better or worse, standardized test scores are simple for anyone to access, typically a link or two away on the web. But as Mitch Slater, Co-Founder and CEO of Levered Learning, pointed out in his edWebinar “A Little Data is a Dangerous Thing: What State Test Score Summaries Do and Don’t Say About Student Learning,” looking at data from one set of assessment scores without context is virtually meaningless. While educators should track performance data to help inform their overall view on a district, school, or class, they need to keep in mind basic data analysis principles to ensure that they aren’t getting a false image of their students’ achievement.
In this edWebinar, Steve Bradshaw, Juan Cabrera, and Dr. Gary Lilly share their perspectives dealing with cybersecurity in a K-12 learning environment.
Mention edtech, and the first thought that usually comes to mind is collecting data to evaluate students’ progress. And during the recent webinar “Get Smart with EdTech: Track Usage on Every Device,” presenters Jeremy Bunkley, Director of Information Technology Services, School District of Clay County, FL, and Leo Brehm, Product Manager, CatchOn, acknowledged that one goal of edtech is to provide educators with data so that they can develop a more effective and personalized learning plan for each student. They also said, though, that with the silos of information that still exist in many schools and districts, one of the most important pieces of data to collect is to find out what edtech resources are actually being used in your classroom. By asking three key questions, leaders can get a better sense of their K-12 edtech ecosystem.
In this edWebinar, Mitch Slater discusses common pitfalls of data analysis and present best practices for looking at your school’s or district’s scores.
In this edWebinar, the presenters cover five critical guidelines for ensuring data privacy in any school system’s use of technology.
In this edWebinar, learn how one district is effectively tracking tools and applications used on devices to optimize and safeguard learning environments.
Data-driven instruction may be the popular catchphrase in education, but in a recent edWebinar, the speakers advocated for data-driven learning. The student, they said, should be at the center of all educational efforts, especially when the goal is to improve outcomes. “Using Student Learning Data to Foster a Growth Culture,” featuring Amy Trees Dodson, M.Ed., Director of Instruction, Cisco Independent School District (CISD), TX; David Woods, Director of Curriculum and Reporting, DreamBox Learning; and Robyn Sturgeon, Professional Learning Consultant, NWEA, focused not just on the idea of collecting data, but on only collecting the data that is actionable. Instead of teaching to the middle, they said, educators and students can use data to attack learning.