I was reviewing quarterly reports with a client last month when they asked me a question that stopped me in my tracks: "Scott, we have all this learning data, but I still don't know which programs are actually improving performance." After 12 years as CEO of Continu, I've seen firsthand how organizations struggle with this exact problem. You're collecting mountains of learning data, but traditional analytics only tell you what happened - not why it matters. Here's what we've learned working with thousands of organizations: The real value isn't in completion rates or assessment scores. It's in the connections between those data points that remain invisible without the power of tools like AI. One of our financial services clients was tracking 14 different metrics across their onboarding program. Despite all that data, they couldn't explain why certain regions consistently outperformed others. When we implemented our AI analytics engine, the answer emerged within days: specific learning sequences created knowledge gaps that weren't visible in their traditional reports. This isn't just about better reporting - it's about actionable intelligence: - AI identifies which learning experiences actually drive on-the-job performance - It spots engagement patterns before completion rates drop - It recognizes content effectiveness across different learning styles Most importantly, it connects learning directly to business outcomes - the holy grail for any L&D leader trying to demonstrate ROI. What's your biggest challenge with learning data? Are you getting the insights you need or just more reports to review? #LearningAnalytics #AIinELearning #WorkforceDevelopment #DataDrivenLearning
How Data can Improve Student Learning
Explore top LinkedIn content from expert professionals.
Summary
Data plays a transformative role in improving student learning by identifying patterns, predicting outcomes, and tailoring educational experiences to individual needs. By analyzing learning data and using advancements like AI, educators can make informed decisions that enhance both academic performance and engagement.
- Use predictive analytics: Analyze student performance data to identify at-risk learners early and provide targeted support to improve their outcomes.
- Personalize learning plans: Leverage tools that adapt content and pacing to individual learner needs, ensuring that each student progresses effectively.
- Connect data to action: Focus on actionable insights—like linking course completion metrics or engagement patterns to real-world achievements—to design impactful learning strategies.
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Hey #highered leaders - if you're still using static pivot tables to inform strategy, this post is for you ⤵ Take a peak at the below screenshot. This example, which shows two "paired predictors", is just one way you can turn data into action: 📈 ▶ The top right quadrant are “high achievers”. They have a high GPA + high credit earn ratio. These students might simply receive a message of encouragement. ▶ The top left quadrant are “strivers”. They have lower GPAs, but higher credits earned. These students might receive a nudge related to maximizing their use of available academic resources. ▶ The bottom right quadrant are “setbacks”. They have higher overall GPA, likely from good grades in their early coursework, but are earning fewer credits towards graduation requirements in key courses in their major. These students should probably receive messaging about the need for high-touch interaction with their advisors to stay on track and not lose their early momentum. ▶ The students in the bottom left quadrant are in "survival mode”. They are below average in both areas. These students are probably due for some real human-to-human conversation to better understand their needs. They may need in-depth intervention, with accompanied supports for finding the most successful path towards goals that match the students’ strengths and interests. You may consider nudging and re-nudging them throughout a term. ⤵ There's so many more examples of how Civitas Learning partners are disaggregating data to close equity gaps. If you're curious to learn more, let's connect 💌 #studentsuccessanalytics
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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