How to Utilize Data in Education

LinkedIn Series: Because your ERP shouldn’t just track what happened—it should tell you what’s next. 🔹Post 3: AI + ERP = Student Success Superpowers? Let’s Talk Use Cases We’ve all heard the buzz about AI in higher education. But the real value happens when AI isn’t just layered on top—it’s integrated within the systems that power the student lifecycle. Enter: AI + ERP. This combo is transforming how institutions drive student success. Let’s break it down with real-world use cases: 🔍 Use Case 1: Predicting Student Attrition ✔️ Workday + Salesforce brought together predictive models and advising workflows ✅ Result: 7% increase in student retention through proactive, targeted interventions When your ERP can see risk coming—and your CRM can act on it—you move from reactive to responsive. 📊 Use Case 2: Dynamic Course Forecasting ✔️ Oracle Cloud used AI to detect patterns in course demand, enrollment, and historical trends ✅ Result: Smarter class scheduling and reduced overloads for students and faculty alike AI isn’t just for the registrar—it’s for student well-being and academic planning too. 💸 Use Case 3: Financial Aid Optimization ✔️ Anthology leveraged machine learning to assess which aid packages most influenced enrollment decisions ✅ Result: Increased yield and more efficient budgeting Helping the right students with the right aid, at the right time? That’s student-centric and fiscally sound. 💡 Key Insight: AI isn’t about fancy dashboards—it’s about better decisions at every level of the student journey. 🧠 What’s the secret to success? Extend your ERP with: • A real-time data layer (Snowflake, Azure Synapse) • A student-first CRM (Salesforce Education Cloud) • Digital adoption platforms for staff and students (Whatfix, WalkMe) You don’t need to rip and replace legacy systems. 👉 You need to unlock their potential with AI-powered extensions. Higher ed is evolving—and student expectations are rising. The institutions that win will be the ones that act on insights, not just report them. #StudentSuccess #AIUseCases #ERPwithAI #SmartCampus #HigherEdInnovation #DigitalTransformation #DataDrivenDecisions #EdTech #Workday #Salesforce #Oracle #Anthology #Snowflake #WalkMe #Whatfix

I've always believed that assessment is the unlock for systemic education transformation. What you measure IS what matters. Healthcare was transformed by a diagnostic revolution and now we are about to enter a golden era of AI-powered diagnostics in education. BUT we have to figure out WHAT we are assessing! Ulrich Boser's article in Forbes points the way for math: rather than assessing right answer vs wrong answer, assessments can now drill down to the core misconceptions in a matter of 8-12 questions. Instead of educators teaching the curriculum or "to standards" we now have tools that allow them teach to and resolve foundational misunderstandings of the core building blocks of math. When a student misses an algebra question is it due to algebraic math skills or is it multiplying and dividing fractions? Now we will know! Leading the charge is |= Eedi - they have mapped millions of data points across thousands of questions to build the predictive model that can adaptively diagnose misconceptions (basically each question learns from the last question), and then Eedi suggests activities for the educator or tutor to do with the student to address that misconception. This is the same kind of big data strategy used by Duolingo, the leading adaptive language learning platform. It's exciting to see these theoretical breakthroughs applied in real classrooms with real students! Next time we should talk about the assessment breakthroughs happening in other subjects. Hint: performance assessment tasks - formative & summative - are finally practical to assess!! #ai #aieducation Edtech Insiders Alex Kumar Schmidt Futures Eric The Learning Agency Meg Tom Dan #math Laurence Norman Eric https://lnkd.in/gxjj_zMW

Recommended resource 👓 This open textbook titled "AI-Enhanced Instructional Design," published by the University of Saskatchewan. It's designed for the Educational Technology and Design (ETAD) program and offers a comprehensive guide on the integration of artificial intelligence in instructional design. The book is organized into four thematic sections, covering foundational concepts, specialized instructional strategies, AI in curriculum and instruction, and AI-generated instructional materials. It emphasizes ethical and responsible use of AI in education and is available under the Creative Commons NonCommercial-ShareAlike 4.0 International License. The book explores the use of AI in instructional design to enhance learning experiences and outcomes. The author discusses how AI technologies can be utilized for various purposes, such as predicting learner behavior, providing real-time feedback, adapting content to individual needs, and analyzing learning data. * It focuses on practical applications and case studies, guiding instructional designers, educators, and researchers in effectively implementing AI-enhanced instructional design. * It highlights the importance of considering ethical implications, privacy concerns, and the evolving nature of AI technology in the field of education. Who can benefit from this resource? Education community: They can gain insights into how AI can personalize the learning journey for their students by catering to their individual needs and tailoring content accordingly. The book also explores how AI can automate some administrative tasks, freeing up valuable time for educators to focus on more strategic aspects of teaching. How? The textbook goes beyond simply listing the benefits of AI in education. It delves into practical applications, showcasing real-world examples of how AI can be used in various instructional activities. > #ContentCreation: AI can assist in generating high-quality course materials, such as quizzes, presentations, and even interactive exercises. > #FosteringCreativity: The book explores how AI can personalize learning paths each student's strengths, weaknesses, and learning style. > #DrivingInnovation: The textbook encourages educators and instructional designers to embrace AI as a tool to experiment with new teaching methods and educational technologies. 1. #FoundationalConcepts: Discusses AI's role in research, workload reduction, and communication enhancement. 2. #SpecializedStrategies: Presents AI tools for career guidance, classroom integration, and accommodations for neurodivergent students. 3. #CurriculumAndInstruction: Explores AI applications in coding, lesson planning, and high school classroom use. 4. #InstructionalMaterials: Describes how AI can create engaging presentations and microlearning videos. via Daniel Canales Escobar https://lnkd.in/eZq5ypSq