T. Scott Clendaniel

Academic papers can be challenging to read, especially for students new to a field. Alyxander Burns shares a unique activity that uses data comics to help students better understand and engage with academic literature in Human-Computer Interaction. https://lnkd.in/eYRNS5ax #DataViz #DataVis #DataVisualization #Education

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Emerging data challenges the dominant narrative around AI and academic dishonesty. Students are leveraging AI for deeper engagement: brainstorming, tutoring, and overcoming procrastination. Institutions must respond with ethical guidance and instructional integration. https://ow.ly/mwu950XnYc6

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Why analysis alone won’t persuade, the antidote for complex and overwhelming data, why NOT to answer everyone’s questions, and so much more from Mike Cisneros in the latest episode of the How To Be Awesome At Your Job podcast with Pete Mockaitis. https://lnkd.in/gtyfhKN3

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Institutions of higher education, and the teaching and learning practices they adopt, are in many ways products of the larger environments of which they are a part. What trends should data and analytics professionals focus on in 2026? In the newly released 2025 EDUCAUSE Horizon Report | Data and Analytics Edition, our expert panelists identify and examine the most influential trends shaping teaching and learning in higher education across five categories: social, technological, economic, environmental, and policy. https://lnkd.in/e77j2FFj

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When Gray Decision Intelligence switched from an in-memory BI tool to Astrato, they didn’t just modernize their tech stack. They transformed how 𝗻𝗼𝗻-𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 faculty engage with data. 𝘞𝘩𝘺 𝘵𝘩𝘦 𝘤𝘩𝘢𝘯𝘨𝘦? Because legacy tools couldn’t keep up with: 📈 Massive data volumes 🎓 Higher ed users with low tech tolerance 📄 Scheduled PDF reporting 💻 A Snowflake-native data architecture 𝗪𝗶𝘁𝗵 𝗔𝘀𝘁𝗿𝗮𝘁𝗼, 𝗚𝗿𝗮𝘆 𝗗𝗜 𝗻𝗼𝘄 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀: ✅ Self-service analytics for 𝘦𝘷𝘦𝘳𝘺𝘰𝘯𝘦 ✅ Embedded dashboards that actually get used ✅ Seamless Snowflake performance ✅ Reports that send 𝘣𝘦𝘧𝘰𝘳𝘦 someone asks 📣 “We have massive data sets that are growing and want to be able to 𝘲𝘶𝘦𝘳𝘺 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘵𝘭𝘺. Our customers needed a more 𝘶𝘴𝘦𝘳-𝘧𝘳𝘪𝘦𝘯𝘥𝘭𝘺 solution. This meant we needed a BI tool that fully leverages Snowflake.” — Zachary Paz, EVP & COO, Gray DI And yes – it’s helping them win and retain more customers. 🤩 If you’re building analytics into your product and still battling extract errors and support tickets... it might be time for your BI glow-up too. #CloudBI #EmbeddedAnalytics

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Expand scholars’ access to interdisciplinary content. The #ProQuestDigitalCollections include primary sources, supported by AI-powered tools and guided by a roadmap aligned for the future of academic research and instruction. #AcademicAI Read our latest blog: https://ow.ly/bOgy50WpWQA

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📊🧮 In a new article, EDC researchers Ashley Lewis Presser, Jessica Mercer Young, Ph.D., Emily Braham, and Regan Calabro Vidiksis share their findings on how to support #DataScience learning in preschool. Click through the carousel below to learn more. In our data-driven world, all students need a high-quality data science education and there are calls to begin teaching data science in preschool. At the same time, there is limited research on what and how children should learn, as well as how to support #EarlyChildhood educators in teaching data science. Our team’s study found that integrating data science into preschool #STEM education is both developmentally appropriate and effective in supporting early #mathematics and computational thinking skills. Read the full article: https://lnkd.in/eZNdBfSg #EdChat #EarlyEd #Education

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Higher ed is rushing toward AI like it’s late for class — but here’s the catch: 𝘪𝘵𝘴 𝘴𝘩𝘰𝘦𝘭𝘢𝘤𝘦𝘴 𝘢𝘳𝘦 𝘶𝘯𝘵𝘪𝘦𝘥.   AI runs on data. And most institutions aren’t ready. ❌ Fragmented systems ❌ Outdated records ❌ Secret spreadsheet hoards ❌ No real governance   AI doesn’t fix those problems. It shines a brighter light on them. 🔍   Instead of racing to adopt AI, pause and consider: Are your systems actually built to support it?   Wes Catlett-Miller breaks it down in a quick, practical read that shows why data readiness isn’t just an IT concern — it’s the foundation for real #AI success.   👉 https://lnkd.in/epWp9vVB   #HigherEd #DataTechTalent 

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EBSCO Information Services has launched Mathematics Source, a new full-text resource that provides comprehensive coverage of current trends and significant topics in the field of mathematics. Read the press release for more details: https://m.ebsco.is/uihZ3 #Mathematics #MathResources #STEM

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A new episode of The View on Data just dropped 🎙️ Faith McKenna (Lierheimer), Erica Louie, Paige A.C. Berry, and Jerrie Kumalah Kenney tackle one of the most persistent myths in data: that every decision needs pristine, statistically significant datasets. Spoiler: You can make strong calls with messy, incomplete, or inconsistent data. They break down what “good enough” looks like in practice, how to set expectations with stakeholders, and why confidence in your own analysis matters just as much as precision. They also share lessons on communicating clearly when the data isn’t perfect and why progress often beats perfection. 🎧 Listen and subscribe wherever you get your podcasts.

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Ever struggled to understand the differences between Ontology, Epistemology, Axiology, and Methodology in qualitative research? I’ve just created a short video in NotebookLM that breaks it down using philosophical paradigms like Positivism, Interpretivism, and Constructivism—and shows how they shape research practice. 🧠 From "What is reality?" to "How do we know what we know?"—this video walks through the core building blocks of research design. See the video below: #QualitativeResearch #PhilosophicalParadigms #Ontology #Epistemology #NotebookLM #ResearchDesign #PhDLife #SocialScienceResearch

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Here's what analytics reveal about successful video learning: students watch more completely when they can navigate confidently. It's not magic. It's structure. Institutions seeing the best outcomes share one thing: clear titles, timestamps, and 5-10 minute segments that let students jump directly to the moment they need. Like sticky notes in a textbook, but for video. Ian Paice, our Chief Customer Officer, shares what patterns emerge across hundreds of institutions and how small design shifts drive measurable improvements in comprehension and mastery. The data is clear: when students can find what they need, they engage more deeply. See the full breakdown: https://panop.to/3ZxP80I #Webinar

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I love the phrase "the whole game of data science" (used by Hadley Wickham, Garrett Grolemund and Mine Çetinkaya-Rundel in their classic book R For Data Science). But the diagram I draw is different to the one they draw. For me (and my focus is on data analytics as opposed to data science), there are three components. First of all, there is data analysis pure and simple. You've already been told what data to analyse, you just have to analyse it. Secondly, you also have to take responsibility for communicating your findings to others. So data presentation skills (written and/or verbal) come into play. Thirdly, if you also have to take responsibility for finding out what you need to analyse in the first place, by discussing the issue with the decision-makers, then data identification skills also come into play. So it's a different way of thinking about "the whole game". But we do need to strike the right balance between all three components.

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Excel and Google Sheets are great for many things—but are they enough for qualitative analysis? This article compares NVivo from Lumivero vs. Excel and Google Sheets for qualitative research, breaking down how each tool supports (or limits) coding, analysis, and visualization. If you’re working with interviews, open-ended survey responses, or other rich qualitative data, this side-by-side look can help you decide which tool best supports the depth your research requires. Read now: https://lnkd.in/gsR83q-f

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