Object |
Example |
|---|---|
Pre-requisite rule, admission rule, degree audit rule |
|
Group |
|
Video, game, simulation, static content (PDF, HTML), quiz |
|
Learning Objective |
define, identify, describe, differentiate, explain, apply, analyse |
Learning Result |
Grade, standing, degree |
Degree, course, major |
|
Learning Unit Instance |
Course offering, scheduled lecture |
Organization |
University, college, high-school, department |
Permission |
|
Student,Instructor, Adviser |
|
Resource |
Room, server, projector, file ] |
Role |
Science adviser, MATH100 instructor |
Academic Rule
An academic rule is a rule that either:
- Constrains enrollment in a Learning Unit.
- Defines the conditions for the completion of a Learning Unit
They can be very simple as in:"In order to register in MATH200 you need to have completed MATH100". Or, that can be quite complex as in Degree Requirements.
A Learning object:
- Has pedagogical value for the consumer
- Is re-usable
- Is searchable (across the Web)
Examples of Learning objects include:
- Videos. A learning tool video platform allows parts to videos to be tagged, supports viewer analytics, supports access controls
- Static content: PDF, html, wikis
- Games
- Simulations
- Quizzes
Learning Unit
The concept of a "Learning Unit" comes from Kuali Student. Canonical Learning Units are prescriptive in nature: MATH100 consists of differential calculus. HIST200 covers the ante-bellum South. Learning Units can be courses, programs, majors....indeed, anything to which the word "learning" can be applied. A Learning Unit ID is like a SKU. This allows for the creation of an inventory of Learning Units (a curriculum) without having to worry about the exact nature of the items.
*Person*
Person lies at the center of the Learning Ecosystem data model. Often there are two possible relationships between a person and any other object in the model:
- Learner - Instructor
- "Advisee" - advisor
- Instructional designer - instructional consumer (learner)
Overview
Content Tools