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How a Utah Incubator is Helping to Solve Education’s Tech Needs

The world of EdTech is exploding as the demand rises due to COVID. However, taking a curriculum from in-person to online isn’t as easy as turning on a webcam. It requires sophisticated tools that serve outcomes, but most of these platforms don’t live up to the hype. Evidence-based product design and development are bridging…

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The world of EdTech is exploding as the demand rises due to COVID. However, taking a curriculum from in-person to online isn’t as easy as turning on a webcam. It requires sophisticated tools that serve outcomes, but most of these platforms don’t live up to the hype. Evidence-based product design and development are bridging the gap, and EdTech expert Lisa Ferrara, Senior Program Manager at WGU Labs, shared her insights.

WGU Labs invents, builds, and invests in EdTech solutions with startups, applying learning science, social psychology, and research. “One of the challenges still is higher learning aligning with career goals. Students now demand that a degree get them employed. It’s time to reconsider the value of programs to students and employers.,” Ferrara noted.

Another challenge is faculty readiness. “Institutions need to adopt and define an Edtech evaluation process, starting with desired outcomes for the learner. Faculty readiness is a focus for WGU Labs. It’s a long process to adapt. Leveraging models for adapting online teaching methodologies is a way to evolve,” Ferrara said.

What makes an EdTech solution a good fit? One way is through research, yet there’s not an abundance out there. Ferrara pointed to The Hechinger Report, which showed that the boasts of these companies are just that. “Most of the solutions weren’t validating, or the results weren’t replicable. The development of the products wasn’t evidence-based, which is the approach we take. We use pilot programs, feedback, and data to get startups to a viable product,” she stated.

WGU Labs works with startups using evidence-based methods. “It starts with: does the product solve a specific need in the market? Is it evidence-based? What backs it up? These are the questions that matter,” Ferrara remarked.

Looking to the future, Ferrara believes evidence-based product design is the best path to meeting learner, faculty, and employer needs.

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EdTech deals rose 11% while the median funding round shrank 31%

EdTech deals rose 11% while the median funding round shrank 31%

EdTech deals rose 11% over the past year, while the median round shrank 31% and Series A rounds got scarcer. First financings nearly doubled. District and corporate learning buyers now face more seed-funded vendors, just as procurement asks for proof that students use the product and learn from it.

  • 01EdTech now has 37 first financings where it had 19, and a thinner Series A pipeline behind them: more products are starting, and fewer are getting the money to grow up.
  • 02For buyers, a vendor’s funding stage is now a due-diligence input alongside the evidence file: a seed-funded tool may be strong, but still lack the capital to deliver the integrations, implementation and ongoing support that larger deployments require.
  • 03In a two-year trial in 18 Tennessee middle schools, 96% of students tried the Khanmigo AI tutor, yet the median student messaged it on only a third of practice days. Usage logs are a sharper test of AI tutoring than access counts.

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AI training and clear policies went with teacher confidence but not cheating worries, CWU survey finds

AI training and clear policies went with teacher confidence but not cheating worries, CWU survey finds

A Central Washington University survey of 222 high school math and English teachers found clear AI policies and useful training went with higher teacher confidence. Neither showed a link to morale or cheating worries. Districts should judge AI training by confidence and classroom practice, and handle integrity through assignment and tool design.

  • 01In this survey, clear AI policy and useful training went with higher teacher confidence and had no measurable link to morale or cheating worries. To address integrity concerns, the authors suggest focusing on how assignments and assessments are designed, alongside discipline-specific guidance.
  • 02English teachers reported the most integrity worry (83.7%) and also the most confidence teaching responsible AI use (45.5%). Subject may shape AI attitudes more than readiness does, which makes one AI course for every department a weak plan.

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Kazakhstan’s Coursera award: 163,098 recognized university credits

Kazakhstan’s Coursera award: 163,098 recognized university credits

Kazakhstan's Ministry of Science and Higher Education won Coursera's Learning Excellence Award 2026 for building online courses into university programs. Since 2022, Kazakh universities have recognized 163,098 academic credits from Coursera coursework. Credits show what institutions accepted, not just what was bought.

  • 01Kazakh universities have recognized 163,098 academic credits for Coursera coursework since 2022, a harder-to-get benchmark of online learning being accepted into formal academic records.
  • 02A license count shows what was bought; a credit count shows what universities accepted onto a student record. Recognized credits capture a harder step than seats, hours or certificates.
  • 03The Kazakh model transfers most directly where the buyer of seats and the body that grants credit are closely tied; corporate learning teams need their own equivalent of a recognized credit, such as a role requirement or a training record.

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