Personal Learning Stream Collation for Study Prioritization
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Solution Overview
Problem
Current electronic learning systems do not allow students to prioritize course activities effectively based on perceived weaknesses and fail to facilitate collaborative studying across multiple courses with common learning outcomes, leading to inefficient study strategies.
Innovation Solution
A method and system that collate course activities from multiple courses into a personal learning stream by selecting a primary course activity, identifying similar activities, and merging them with pacing guides based on learner proficiency scores, grade-weights, and proximity, enabling a focused study plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If course activities are presented in a random or disorganized manner, then all course activities can be displayed, but students cannot prioritize study efforts effectively based on perceived weaknesses
Solution Approach 1:
The patent segments course activities by learning outcomes, grouping activities that share common learning objectives together. This allows students to view and prioritize activities based on specific learning outcomes rather than seeing a random assortment of activities from multiple courses, enabling more effective study planning and time management.
Solution Approach 2:
The patent changes the organizational parameter from random/course-based to learning-outcome-based grouping. By reorganizing activities according to shared learning outcomes and allowing students to prioritize based on perceived weaknesses in specific outcomes, the system transforms the presentation structure to enable more efficient study strategies.
2Productivity
If students study similar materials independently between two courses, then each course can be completed separately, but learning efficiency is reduced due to lack of collaboration
Solution Approach 1:
The patent merges course activities from multiple courses that share common learning outcomes into unified study groups. By combining activities across course boundaries based on shared learning objectives, students can collaborate on studying similar materials together rather than independently, thereby improving learning efficiency without significantly increasing coordination complexity.
3Reliability
If current electronic learning systems guide students towards independent study, then course completion is simplified, but overall academic performance suffers due to missed collaborative opportunities
Solution Approach 1:
The patent introduces dynamic study group formation based on shared learning outcomes and student needs. Rather than fixed independent study paths, the system dynamically groups activities and students based on common learning objectives, allowing flexible collaboration while maintaining the ability to study independently if preferred. This dynamic approach improves academic performance by enabling collaborative opportunities while preserving study strategy flexibility.
Data Source
AI summary
There are provided methods and electronic learning systems for collating course activities from a plurality of courses into a personal learning stream. The method comprises the steps of selecting a primary course activity associated with a primary course within the plurality of courses, selecting a primary learning outcome associated with the primary course activity, identifying other course activities that are associated with courses within the plurality of courses and having a learning outcome similar to the primary learning outcome, and joining the primary course activity and other course activities into an activity stream. A pacing guide may be created from at least one pacing activity associated with the primary learning outcome, and the pacing guide may then be merged with the activity stream. The personal learning stream may be graphically represented on a calendar.