Core BTS’ Post

Say goodbye to manually combining your education data into spreadsheets! Discover a smarter way to handle student information and improve educational results, with CoreScholar by Core BTS! Hear from my colleague and Core BTS Director of Consulting Services, Paul Fuller, about out how we are helping schools implement Generative AI tools and transform chaos into clarity. Learn more about CoreScholar here: https://bit.ly/4bKxs5m

Instructure have published their annual 'EdTech Top 40' - highlighting the tools US school districts, teachers and students engaged with in 23/24. Never ceases to amaze me how many different tools are used. One question that comes to mind is whether we will see schools consolidate the tools they use, aided by the growth of 'super-apps'? In the short-term the proliferation of AI tools has increased the number of distinct tools used (up 8% in 23/24)

https://lnkd.in/dRRbbF8B Day 23 of #100DaysOfALXSE: Started a new project integrating a school management system with AI and data analysis to enhance student performance. Created an API for student profiles. #100DaysOfCodeChallenge #100DaysChallenge

Is anyone out there using AI for data management and student progress analysis within secondary schools yet? If so, how? Dan Fitzpatrick AI-for-Education.org AI for Education

What is the evidence supporting AI tutors and teachers? This well researched study found three very significant benefits: 1. Enhanced Learning Outcomes: Students who received personalized learning paths achieved better learning outcomes compared to those who received traditional instruction. 2. Increased Engagement and Motivation: Personalized learning paths were found to increase student engagement and motivation. 3. Addressing Knowledge Gaps: The adaptive learning algorithms employed by AI tutors effectively identified and addressed students' knowledge gaps. => See the full study here: https://lnkd.in/gB4k9aNT => Learn more about VictoryXR AI Tutors and Teachers: https://lnkd.in/gB-tZV2C

Join us on May 31 to see what the future of AI in Higher Education will be!

At Swivl we believe there is significant unrealized potential in reflecting, especially for students. When we set out to build a reflective solution for students, our first thought was to explore if we could truly automate the reflection process. Could we discover a way to make reflecting fun and engaging for students? At the same time, could we build a solution that provides teachers with robust and unbiased insights about each of their students? And, on top of it all, could this solution require minimal time and effort from teachers? With the help of AI, we created a tool that met all of these requirements. We call it Mirror. And, if you're an educator in the US, we are offering a free, 30-day trial of Mirror. We want you to experience the power of automating the student reflection process firsthand. Learn more and sign up to participate: https://bit.ly/489x1QP

Recently, I had the opportunity to write about the basics of instance segmentation - a computer vision technique very close to my heart. In college, my friends and I worked on a project to monitor student attentiveness in class. We used instance segmentation to identify students in a video of them listening to a mock class. We roped in a bunch of classmates, and there were plenty of jokes about how we never paid attention in class, yet here we were, making a solution to monitor future students. 🤓 Thanks to Annotab AI for the chance to write about it and bring back many fond memories. 😇 Are you curious to know how instance segmentation works? 🤖 ✅ Check out the article. The link to it is in the comments. #computervision #artificialintelligence #blogpost

Surprise surprise, we're leveraging the power of AI to help learners, educators and parents/guardians as they return to school for the start of this academic year. Learn more: https://lnkd.in/gCBPQeR8

What would happen if a teacher graded an exam, handed it to the student, and then it was immediately thrown away? Sure, the student and teacher would know the grade for that exact assignment But what happens when the teacher needs to write progress reports of all the cumulative assessments. Or when the student wants to understand mid-semester what they’re struggling with in preparation for final exams The teacher and the student would be left with nothing—no insights, no data to improve learning, no direction for growth. This is exactly what can happen when we use AI to evaluate assignments And fail to fully extract and use the valuable analytics it can generate. While AI can save teachers time by automating grading, If we don’t leverage the deeper insights it provides like identifying patterns of understanding and areas of difficulty We're leaving teachers and students in the dark.