Coursera Announces New Features, Tools, and Learning Initiatives

IBL News | New York

Coursera, Inc. (NYSE: COUR) announced this month a new set of tech features, tools, and learning initiatives.

Shravan Goli, Chief Product Officer at Coursera, listed on a blog post the following innovations, which will be launched this quarter:

  • Personalized Schedules. Learners will be able to personalize their schedules in a course to automatically receive personalized course deadlines and goals.
  • Data-Driven Deadlines. Students will receive deadlines within a course calculated based on how long it took to finish the item. 
  • Schedule Nudges. Learners get notified whether they are on track, ahead, or behind in their course with actionable next steps to keep them progressing efficiently.
  • Lecture Summaries. Learners will see Machine-Learning generated summaries of key lecture videos. This will allow them to review prior course material, gain a quick understanding of a topic, and progress faster through a course.
  • Adobe Guided Projects. Learners will be able to work with Adobe software to gain hands-on skills, build a portfolio, and prepare for a UX/Design role. Each learner who completes an Adobe Guided Project will receive a complimentary month of access to Adobe Creative Cloud.
  • File Downloads from Labs to work locally and enhancements on auto-grading and auto-submission.

Another remarkable innovation for educators is the possibility of migrating their existing content on edX and Open edX to their courses on Coursera via a new self-serve edX content ingestion tool. “Through this tool, university partner Dartmouth seamlessly moved 30+ courses to Coursera with minimal work for its program staff,” explained Shravan Goli.

Also in May, Coursera announced Career Academy intended for entry-level job-skills training.

Recent platform innovations included:

• LevelSets. A tool to help employees determine their proficiency in key skills and identify areas to focus on moving forward.

Currently, there are 60+ new LevelSet assessments across Data Science, Technology, Marketing, and Finance to assess learner skills proficiency to establish a baseline and personalize content recommendations.

• SkillSets. It provides content recommendations powered by data from millions of learners, choosing from a variety of skills and setting proficiency targets to establish measurable learning goals.