2023-09-01 Educators WG

Recording

https://drive.google.com/file/d/10eEtw4mM6YIfYQ6fH-EChNRCSghQdJXs/view?usp=drive_link

Date and Time

Friday, September 1, 1pm EST | 5pm UTC

Meeting Minutes

Colin Fredericks from HarvardX will give a short presentation on some custom open response assessment tools that can "remember" and pull up responses from other parts of the course.

After that, there will be a guided discussion about open response methods, best practices and headaches. The goal is to come out with a list of methods that work well in different scenarios and some wish-list features for the product.

• 02:00: Custom Open-Response Assessments - Colin Fredericks (HarvardX)

  • 03:00: Demo of open-response assignments with custom rich text editor via Summernote

    • Abilities to download, save, and write multiple drafts

  • “Backpack” functionality that allows you to save and retrieve student data from earlier open response problems. Thereby allowing you to have a kind of first-draft, second-draft, and so on system.

  • 08:30: Technical explanation of configuration

  • 16:20: Implementation Instructions for open-response and backpack

  • Resources:

    • Course Template Builder with hx-js and backpack included (easiest method): https://harvardx.github.io/edx_course_templater/index.html

    • https://github.com/colin-fredericks/hx-js/

    • https://github.com/HarvardX/js-input-samples/tree/master

• 21:40: Short Response X-block - Marco Morales (Schema Education)

  • 23:50: Demo of proposed functionality, including LLM feedback and options for LLM assessment.

    • This x-block is still in the design phase.

• 36:40: Proposed ORA Enhancements - Juan Camila Montoya (EduNext)

  • TurnitIn Integration

  • Configurable Weights for Assessment Scores

  • Learner Re-submission Option

  • Human Readable Activity Dashboard for Instructor

  • CTA: Juan is looking for feedback on these proposals

    • Survey: https://forms.gle/JskgmXacWknsNVyeA

• Open discussion on Open Response Assessment approaches

  • Graded for completion (minimum character threshhold)

  • ORA rubric-based grading

    • Self, Peer, and Staff grading

  • Free-Text Response X-block (https://github.com/Stanford-Online/xblock-free-text-response )

    • Grading based on keywords

    • Collect free-text submission (i.e. course feedback)

  • Google Forms for free-text submission

• LWMOOCs conference (October 11-13) is accepting Poster Submissions

  • Reach out to Mary Ellen Wiltrout on Slack or via the LwMOOCs website: https://2023.lwmoocs-conference.org/