))
A Fresh Take on Ethical and Machine Learning Imperatives to Create Truly Learner-Centric Micro-Credentials - Dan McFadyen and Mark Keough
Manage episode 321643008 series 3322091
コンテンツは Edalex によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Edalex またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
In this Edalex Podcast episode, Dan McFadyen and Mark Keough, Chief Executive Officer of Intrinsic Learning, discuss a fresh take on ethical and machine learning imperatives to create truly learner-centric micro-credentials.
Their topics of discussion include:
- 1:38 - Micro-Credentials in the Vocational Sector and the Relevancy of Existing Education and Jobs Descriptions
- 7:05 - The Importance of Helping Learners From all Education Backgrounds Identify and Talk to Their Skills
- 11:35 - Recognition of Prior Learning and Tracking the Capability Progression of Lifelong Learners
- 17:40 - Exploring Rich Skills Descriptors and Machine Learning Through OSN Skill Collaboratives
- 21:20 - The Ethical Framework Imperative When Using Machine-Readable Skills Data
- 30:27 - Intrinsic Learning’s Current and Future Projects and Global Efforts in Support of the Future of Work
Visit Edalex.com to read the full transcript and more resources.
Credentials just got personal - Unleash the power of your skills data and personal credentials
Credentialate is the world’s first Credential Evidence Platform that helps discover and share evidence of workplace skills.
Find out more at: edalex.com/credentialate
Follow on LinkedIn: https://www.linkedin.com/company/edalex
Follow on Twitter: https://twitter.com/edalexsolutions
章
1. A Fresh Take on Ethical and Machine Learning Imperatives to Create Truly Learner-Centric Micro-Credentials - Dan McFadyen and Mark Keough (00:00:00)
2. Micro-Credentials in the Vocational Sector and the Relevancy of Existing Education and Jobs Descriptions (00:01:40)
3. The Importance of Helping Learners From all Education Backgrounds Identify and Talk to Their Skills (00:07:07)
4. Recognition of Prior Learning and Tracking Capability Progression of Lifelong Learners (00:11:33)
5. Exploring Rich Skills Descriptors and Machine Learning Through OSN Skill Collaboratives (00:17:40)
6. The Ethical Framework Imperative When Using Machine-Readable Skills Data (00:21:20)
7. Intrinsic Learning’s Current and Future Projects and Global Efforts in Support of the Future of Work (00:30:27)
15 つのエピソード
シェア
