We found 36 YouTube channels similar to UNSW eLearning
Both target educational audiences with talks on educational technology ethics and AI in education (83% match overall; high search overlap on those topics), though UNSW eLearning focuses on structured higher-education learning design while TEDx offers broad, standalone inspirational talks.
Share interest in AI in education and generative AI learning (57% match; high content relevance at 77%), but IBM Technology emphasizes enterprise AI applications and technology demos, whereas UNSW eLearning centers on instructional design and assessment in higher education.
Aligns on AI in education and AI in higher education (53% match; content skewed toward advanced AI research and policy), complementing UNSW eLearning’s instructional design practices with a broader AI research perspective.
Direct alignment on assessment design best practices (51% match; high content similarity at 80%), making it the closest pedagogical peers, though UNSW eLearning emphasizes implementation within online learning ecosystems.
Shares emphasis on educational technology ethics and AI in education (50% match; strong content overlap at 71%), but TED offers globally wide, shorter talk formats versus UNSW eLearning’s longer-form instructional design content.
Both address learning technology research (49% match; high content relevance at 78%), yet Digital Promise leans toward policy and scalable tech initiatives while UNSW eLearning centers on course design and delivery frameworks.
30 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 49% | Novak Educational Consulting | 75% | 3.6K | 8% | 2 |
| #8 | 49% | RACP | 70% | 4.1K | 16% | 5 |
| #9 | 48% | ClassPoint | 76% | 104K | 6% | 2 |
| #10 | 48% | Penn Online Learning | 76% | 12.4K | 5% | 1 |
| #11 | 48% | Teaching English with Oxford | 77% | 214K | 4% | 1 |
| #12 | 48% | Michelle Pacansky-Brock | 76% | 2.0K | 5% | 1 |
| #13 | 48% | Association for Learning Technology | 73% | 1.9K | 9% | 8 |
| #14 | 47% | Let's Summarize Ed | 76% | 10.9K | 4% | 2 |
| #15 | 47% | Simplilearn ▶ | 73% | 6.1M | 7% | 4 |
| #16 | 46% | Ioannis S. Pantelidis (Yian) | 75% | 1.0K | 4% | 2 |
| #17 | 46% | CTL at UofA | 74% | 1.0K | 4% | 2 |
| #18 | 45% | UNESCO ▶ | 69% | 533K | 10% | 4 |
| #19 | 45% | freeCodeCamp.org ▶ | 72% | 11.5M | 5% | 3 |
| #20 | 45% | TEQSAGov | 71% | 1.4K | 5% | 4 |
| #21 | 44% | British Council | TeachingEnglish | 68% | 90.2K | 9% | 3 |
| #22 | 44% | Helpful Professor Explains! | 69% | 40K | 7% | 3 |
| #23 | 44% | Jennifer Gaddis | 70% | 8.9K | 5% | 1 |
| #24 | 44% | Teachings in Education | 68% | 281K | 7% | 4 |
| #25 | 44% | Labster | 68% | 9.5K | 7% | 6 |
| #26 | 43% | Teacher innovation ideas | 68% | 492K | 7% | 6 |
| #27 | 43% | Richard Byrne | 68% | 58.2K | 5% | 1 |
| #28 | 42% | Future Frontiers | 66% | 12.3K | 5% | 1 |
| #29 | 41% | iSTORM®️ Privacy-Security-Pentesting | 65% | 2.6K | 5% | 2 |
| #30 | 41% | The PrimeTime | 65% | 1.1M | 4% | 1 |
| #31 | 41% | Mike Chapple | 65% | 32.6K | 5% | 1 |
| #32 | 40% | BBC Learning English | 63% | 9.8M | 5% | 1 |
| #33 | 40% | Bloomberg Television ▶ | 60% | 3.1M | 10% | 3 |
| #34 | 40% | Cole Hastings | 62% | 847K | 7% | 2 |
| #35 | 39% | Business Today | 61% | 3M | 6% | 1 |
| #36 | 38% | PBS NewsHour ▶ | 59% | 5.2M | 6% | 3 |
TEDx Talks (44.2M subscribers, 83% match) and IBM Technology (1.6M subscribers, 57% match) and Stanford HAI (32.7K subscribers, 53% match). They share a focus on technology, education, and science topics, with an emphasis on research, innovation, and broad public exposure.
UNSW eLearning creates educational content about learning, teaching, and AI in higher education, based on video titles such as Introducing UNSW Immersive Futures, The significance of AI in Learning, Teaching and Assessment at UNSW, AI Usage at UNSW: Key Considerations and the Six Permissible Categories, Maintaining Assessment Validity: A Step by Step Approach, and The Value of Programmatic Assessment Amid AI Disruption. The channel average is about 624 views per video, with a recent video set showing views from 286 to 1.6K, and a typical upload cadence implied by the set of five titles and an average weekly frequency indicated by ‘uploads/week’.
We analyze UNSW eLearning's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.
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