Are high school students using online courses to boost marks?

Six years after Ontario made e-learning mandatory for a high school diploma, data shows students are using online courses primarily to boost their grades rather than to diversify course selections. CBC analysis by Talia Ricci highlights that the policy's uptake has led to grade-seeking behaviour instead of broader curriculum exploration, suggesting implications for course design and education policy evaluation.

Analysis

Incumbent education SaaS and adjacent infrastructure suppliers will see compositional revenue shifts: higher margin, asynchronous “repeatable” credit products (low live-instructor cost, high automation) will scale faster than bespoke curriculum contracts. That compresses unit teaching-hours even as ARPU per student tick up, favoring firms with strong LMS, content-authoring and automated assessment IP rather than pure-live-tutor marketplaces. Over 12–36 months expect procurement cycles at school boards to prioritize scalability and auditability — vendors that embed logging, proctoring and transcript APIs capture a premium.

Regulatory and reputational risk sits on a multi-year horizon but has discrete catalysts: provincial audits, post-secondary admissions policy changes, or a high-profile fraud case could force product redesigns or revenue clawbacks within 3–18 months. Conversely, steady demand for bandwidth and device provisioning is a near-term, non-discretionary uplift that benefits network and hardware suppliers on a 0–12 month basis. Macro sensitivity is low, but outcomes are binary — either normalization into curricula (slow, sustainable growth) or a tightening regime that resets unit economics and monetization pathways.

The structural arbitrage is between platform owners with automated assessment/proctoring stacks and players reliant on live labor. Winners will monetize scale (subscription + per-credit fees) and point solutions (API access for transcript verification). From a competitive-structure perspective, incumbents with existing government contracts can bundle and harden margins, while agile pure-play consumer tutoring firms must choose between margin-dilutive consumer acquisition or pivoting into contracted B2B deals.

Key Decisions for Investors

• Long CHGG (Chegg) — buy CHGG Jan 2027 $20 calls (9–12 month view). Rationale: established consumer tutoring + textbook rental platform can cross-sell proctored and automated-assessment offerings; target 2.5x upside vs 100%+ premium to premium paid if they win scaled contracts. Hedge with 25% notional short in LRN to limit sector rotation risk.
• Long COUR (Coursera) vs Short LRN (Stride) pair — buy COUR shares and short LRN 6–12 month. Rationale: COUR’s scalable content and credentialing focus better fits institution procurement than Stride’s K–12 live-heavy model; expect relative outperformance of 15–30% if budgets tilt to platformized offerings.
• Long BCE.TO or T.TO (Canadian telecoms) — buy for 3–12 month horizon. Rationale: predictable upside from incremental bandwidth/device provisioning with 3–6% yield cushion; downside limited in case of regulatory shock. Consider buying 1–2% notional in covered-call structures to improve yield.
• Tactical short (option-sized) on pure-play live-tutor marketplaces (e.g., CHGG/partial short if valuation stretched) if a province initiates an audit — set alert on Ontario Ministry communications; use 3–6 month puts to limit loss and capture sharp re-rating events.