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Instructure named to Training Industry's Top 20 LMS Companies list amid rising demand for workforce skills development. Oct 28, 2026, 09:00 ET Recognition follows 2025 Watch List selection, highlighting Instructure's growing presence in workforce learning with Canvas Career SALT LAKE CITY, Oct. 28, 2026 /PRNewswire/ - Instructure, the leading learning ecosystem and maker of Canvas LMS, today announced its selection to Training Industry's 2026 Top 20 Learning Management System (LMS) Companies list, advancing from the 2025 Watch List. The recognition comes as organizations face growing pressure to upskill and reskill employees amid changing workforce demands. Instructure continues to expand its presence in corporate learning and workforce development through Canvas Career, its skills-first, AI-powered learning platform. "As job requirements evolve, organizations need to make learning a continuous part of employee development," said Melissa Loble, chief learning officer at Instructure. "We're building on our experience in education to help people develop skills throughout their careers, and moving from the Watch List to the Top 20 in one year reflects our growing presence in workforce learning." According to Boston Consulting Group, the average half-life of skills is less than five years, and in some technology fields, it's roughly half that. Organizations also face pressure to demonstrate the value of their learning investments. Recent Instructure research conducted in partnership with HR Dive found that 69% of respondents expect learning programs to improve role readiness or skills mastery to a great or very great extent, yet only 53% say their organizations can communicate program impact using data to that same extent. Launched in 2025, Canvas Career supports organizations delivering professional development, employee training and continuing education. The platform helps organizations deliver skills-focused learning, tailor training to workforce needs and track learner progress. It extends Instructure's learning ecosystem to businesses, associations and other organizations investing in workforce development. "This year's Top 20 Learning Management Systems (LMS) Companies illustrate how the LMS market is evolving beyond traditional learning delivery toward more intelligent, connected and action-oriented platforms," said Jalen Banks, market research analyst at Training Industry Inc. "Leading providers are embedding AI throughout the learning lifecycle to automate workflows, deliver conversational experiences and support data-driven decision-making." About Instructure Instructure builds the learning ecosystem that organizations, educators and learners depend on across K-12, higher education and the workforce. Canvas, Mastery and Parchment serve thousands of school districts, university systems, statewide agencies and employers, reaching tens of millions of learners in more than 100 countries. Everything Instructure makes is built for education first, with the data privacy protections, evidence and institutional control that schools, colleges and employers require. That is how learning becomes opportunity at every age, every stage and every pivotal transition. Discover more at Instructure.com. Contact Brian Watkins Corporate Communications Instructure (801) 658-7525 SOURCE Instructure

Non-Traditional and working learners risk being left behind in AI learning shift, Instructure study finds. CJ Magowan 10.10.2026 MANILA, Philippines - Access to artificial intelligence alone does not guarantee effective learning, leaving working, part-time, and remote students at the highest risk of being left behind as Philippine education shifts from basic tech adoption to institutional enablement. According to a new study by Instructure, the maker of Canvas Learning Management System (LMS), in collaboration with local research firm The Fourth Wall, titled The Great Divide of AI in Lifelong Learning, the country's next AI divide is not between those who use AI and those who do not but between learners with institutional support and those left to navigate the technology independently. The research surveyed 207 education practitioners across higher education and technical-vocational institutions in Metro Manila, Metro Cebu, and Metro Davao. The findings were unveiled at CanvasCon Philippines 2026 at Conrad Manila, where over 500 educators gathered to discuss operationalizing AI readiness. The emerging support divide for non-traditional learners. On a 5-point scale, educators rated their confidence that remote, part-time, and working learners will be equally supported as AI reshapes learning at just 2.66 - one of the lowest readiness scores in the study. While AI can make education more flexible, the students who depend most on that flexibility may lack adequate institutional support. Educators named work and livelihood responsibilities (67%) and cost constraints (65%) as the primary barriers to lifelong learning, warning that AI could either ease or compound these frictions depending on whether institutional support becomes as flexible as the learning itself. "AI adoption is already underway, but institutionalization has yet to catch up. Encouragement isn't the same as structure, clarity, and guidance. If AI isn't connected to a coherent learning strategy, both learners and educators will be left floundering, creating a clear divide between supported and unsupported learners," said Darren Read, Managing Director, APAC at Instructure. Compounding this challenge, educators currently lack visibility into whether AI's benefits are reaching students equitably, rating their institution's tracking of resource distribution at a low 2.74 out of 5. "Equity is not only an access problem; it is also a measurement problem. Institutions cannot meaningfully address an AI divide if they cannot see who has access, who is participating, and who is actually benefiting," said John Brylle L. Bae, Research Director at The Fourth Wall. AI implementation gains momentum beyond experimentation. The survey suggests that AI activity in Philippine higher education is moving beyond early exploration. Half (50%) of surveyed institutions currently offer AI literacy or digital-skills programs for students, while only 18% report still being in the exploration phase without a formal strategy. Additionally, institutions are deploying practical tools, including staff-facing AI systems to support teaching and course design (41%), AI tools integrated directly into course delivery (40%), and AI-powered tutoring assistants (38%). Despite this momentum, institutional readiness lags behind tool deployment. Educators rated confidence in their institution having a clear AI strategy within lifelong-learning pathways at 3.08 out of 5, while confidence in faculty and staff training fell to 2.87 out of 5. Overall, 43% of respondents cited limited access to devices or paid tools as a primary barrier, while 38% highlighted a lack of formal training and guidance Regional bottlenecks and policy context. While overall readiness levels did not differ significantly across geographical regions, immediate resource constraints varied. Technology and digital infrastructure emerged as the primary bottleneck in Metro Manila (46%), whereas funding constraints were more prominent in Metro Cebu (45%) and Metro Davao (55%). Metro Cebu respondents also highlighted faculty training as a pressing concern (36%). To bridge these gaps, the report outlines five core priorities for institutional enablement: expanding physical access to devices and tools; setting clear rules for ethical use; building faculty and learner capability; integrating AI into curricula and lifelong learning pathways; and establishing equity tracking metrics. The urgency to build institutional readiness comes as the Commission on Higher Education (CHED) issued national guidelines for responsible AI use in higher education. The guidelines require transparency in students' use of AI and stronger human oversight in consequential areas such as grading, admissions, scholarships, student progression, and faculty evaluation. Against that backdrop, the study's low readiness scores for faculty training (2.87 out of 5) and equity tracking (2.74 out of 5) suggest many institutions will need dedicated support to put those expectations into practice. The survey findings reflect the perceptions of education practitioners and provide an indicative view of institutional priorities, practices, and readiness, rather than a nationally representative sample of all Philippine education institutions.