Mind the Support Gap: Instructure Study Warns Non-Traditional Learners Face Growing AI Divide

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A study by Instructure and The Fourth Wall reveals that working and remote students face an institutional support deficit as AI transforms Philippine education.

Press Release

Non-Traditional and Working Learners Risk Being Left Behind in AI Learning Shift, Instructure Study Finds

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.

Benefits of Institutional AI Enablement

  1. Targeted Support for Working Students: Tailored AI support frameworks help part-time and remote learners balance job responsibilities with coursework.
  2. Clear Ethical Frameworks: Establishing institutional guidelines gives students and faculty confidence when using automated learning tools.
  3. Enhanced AI Literacy: Formal digital skills programs equip graduates with competitive technical skills required by modern employers.
  4. Improved Teaching Productivity: Staff-facing AI tools streamline course design and administrative workloads for educators.
  5. Personalized Academic Support: AI-powered tutoring platforms provide 24/7 learning assistance to students studying outside normal hours.
  6. Data-Driven Equity Tracking: Measuring resource allocation helps institutions identify and support underserved student groups.
  7. Empowered Teaching Staff: Structured faculty development ensures instructors can effectively guide and evaluate AI-assisted learning.
  8. Alignment with CHED Mandates: Institutional readiness frameworks ensure compliance with national guidelines on responsible AI usage.
  9. Regional Resource Optimization: Understanding specific regional constraints allows schools to direct funding toward local priorities.
  10. Sustainable Lifelong Learning Pathways: Integrating AI into continuing education creates accessible pathways for adult learners.

Insights: What the AI Learning Divide Means

  1. Access Does Not Equal Equity: Owning or using AI tools does not guarantee academic success without structured institutional support.
  2. The New EdTech Divide: The gap in modern education has shifted from basic hardware availability to the quality of institutional guidance.
  3. Working Students Face Compounded Pressure: Without institutional support, AI tools can increase stress for non-traditional learners rather than relieve it.
  4. Measurement Gaps Impede Equity: Institutions cannot address learning disparities without clear metrics to track AI participation and outcomes.
  5. Tool Adoption Outpaces Readiness: Schools are deploying AI applications faster than they are training staff or updating learning strategies.
  6. Regional Solutions Are Necessary: Digital infrastructure in Manila requires different investment strategies than funding needs in Cebu and Davao.
  7. Human Oversight Remains Essential: CHED’s guidelines highlight that automated tools must assist, rather than replace, human judgment in academic evaluations.
  8. Faculty Training is the Core Bottleneck: Low educator confidence scores indicate that staff development is essential for successful AI integration.
  9. LMS Platforms Serve as Strategic Anchors: Systems like Canvas LMS play a vital role in providing equitable access and tracking AI usage.
  10. Lifelong Learning is Critical for the Economy: Supporting working adults through flexible, AI-enhanced education is vital for workforce development.

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/en-au.

Conclusion

The findings from The Great Divide of AI in Lifelong Learning highlight a crucial turning point for Philippine higher education. As AI integration accelerates across campuses, institutions must move beyond tool distribution and focus on building structured, equitable support systems. By addressing faculty training gaps, investing in regional infrastructure, and tracking student participation, educational leaders can ensure that working, remote, and non-traditional learners remain at the center of the country’s digital transformation.

Link Resources

Key Phrases

  1. Instructure Canvas LMS Philippines 2026
  2. The Great Divide of AI in Lifelong Learning study
  3. Non-traditional working student AI support gap
  4. CanvasCon Philippines 2026 Conrad Manila
  5. CHED guidelines for responsible AI in higher education
  6. The Fourth Wall research agency AI study
  7. AI divide in Philippine higher education
  8. Institutional AI strategy for working students
  9. Regional AI digital infrastructure Metro Manila Cebu Davao
  10. Faculty training for AI-assisted teaching Philippines

Best Hashtags

#Instructure #CanvasLMS #CanvasCon2026 #AIinEducation #TheFourthWall #PhilippineEducation #HigherEdPH #LifelongLearning #CHED #LEADMEDIANEWS

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