HarvardX Adaptivity Bridge:
Elevating LTI Potential
to the HarvardX Adaptivity Project
is spearheading the development of open online learning experiences and pioneering research in online pedagogies. As part of this groundbreaking endeavor, the Adaptivity Bridge emerges as a vital component within HarvardX's adaptivity effectiveness experiment.
ChallengeProviding personalized learning paths for students with varying needs, preferences, and prior knowledge.
SolutionBy implementing adaptivity, the project ensures tailored content and experiences that align with individual requirements.
ImpactLearners receive personalized learning journeys, fostering engagement and effectiveness.
ChallengeScaling online learning platforms and delivering content efficiently to a large number of learners.
SolutionThe project optimizes the delivery process, enabling seamless scalability and efficient dissemination of adaptive learning materials.
ImpactEnhanced scalability and efficient content delivery for improved learning experiences.
ChallengeComplex and time-consuming integration of adaptive engines, content sources, and learning management systems.
SolutionThe project streamlines integration, ensuring seamless communication and synchronization between these components.
ImpactReduced technical complexities, facilitating smooth integration and system interoperability.
Allocating instructional designer(s)' time to curate materials for diverse learning paths and cater to varying content preferences.
Securing funds to address technical complexities, including the selection and integration of adaptive engines, synchronizing them with content and problem sources, learning management systems, as well as internal HR and student register systems.
Unified Adaptive EngineThe project incorporates a unified adaptive engine that serves as a central hub for managing and delivering adaptive learning experiences.
Standardized Integration ProtocolsTo facilitate seamless integration with existing learning management systems (LMS) and content repositories, the project employs standardized integration protocols.
User-Friendly Authoring ToolsThe HarvardX Adaptivity project offers user-friendly authoring tools that empower instructional designers and subject matter experts to create adaptive learning experiences with ease.
Continuous Improvement FrameworkThe HarvardX Adaptivity project emphasizes a continuous improvement framework, promoting iterative enhancements and refinements to the adaptive learning experience.
Learning Tools Interoperability (LTI):
A Brief Overview
- Interactive quizzes
- Multimedia content
- Collaborative platforms
- Assessment systems
Benefits of Using LTI
1LTI integration allows educators to incorporate various learning tools, creating a dynamic and interactive learning experience for students.
2Students benefit from a wide range of resources, enhancing their understanding and active participation in the learning process.
3LTI promotes standardization and ensures seamless compatibility between different tools and platforms, maintaining consistency in the learning ecosystem.
4LTI facilitates efficient data flow between integrated tools and the learning management system, streamlining administrative tasks and enhancing overall efficiency.
5Educators can manage multiple tools and resources from a single interface, saving time and effort in administrative tasks.
Core Features of LTI:
- Seamless integration of external tools and resources within the LMS.
- Automatic sharing of user information for streamlined data exchange.
Optional Features of LTI:
- Advanced analytics for personalized learning.
- Content alignment to enhance curriculum coherence.
- Support for additional educational standards.
Enhanced Learning Environment:
- LTI's core and optional features empower educators to create a cohesive and engaging learning environment.
- Students benefit from a rich, interactive, and personalized learning experience.
The New Way to Implement Adaptivity
Creating the Content
Source for Adaptivity
1Identify Relevant Problems: Begin by identifying and gathering problems from courses that are LTI-compatible. These problems serve as the building blocks for the adaptive learning experience.
2Preview and Evaluate Problems: Take advantage of the intuitive interface to preview each problem. This allows content creators to assess the suitability and relevance of the problem for the desired learning objectives.
3Easy Content Integration: With just one click, add the selected problem (or any other type of content) to the collection. This streamlined process ensures that content sources are quickly assembled and organized for further adaptation.
4Fine-tune Difficulty Levels: Tailoring the learning experience is key to effective adaptability. Set the difficulty level for each problem, empowering the adaptivity engine to personalize the learning journey for individual learners.
5Fast Collection Gathering: Assembling collections is made easy and efficient. Content creators can swiftly gather related problems, ensuring a comprehensive and cohesive learning experience.
- Problems are gathered in Collections.
- Problems are gathered from courses (courses need to be LTI-compatible).
- One can preview the problem.
- 1 click to add a problem to the collection (or any other type of content).
- One can set the difficulty for the problem for further usage by the adaptivity engine.
- Gathering collections is easy and fast.
to the LTI Engine
- Collections are gathered in groups for further connection with an adaptivity engine.
- One can choose any adaptivity engine that is LTI-compatible and connect it in the admin settings.
- The adaptivity engine can grade problems.
1Choosing an Adaptivity Engine: Begin by selecting an adaptivity engine that aligns with your specific requirements. The LTI compatibility of the engine allows for easy integration with your learning ecosystem.
2Integration in Admin Settings: Once you have chosen the adaptivity engine, the integration process takes place in the admin settings of your platform. Through intuitive configurations, establish a connection between the LTI engine and your content repository.
3Adaptive Grading: The adaptivity engine plays a crucial role in grading problems. It utilizes sophisticated algorithms and assessment methodologies to evaluate learners' responses and provide personalized feedback. This adaptive grading system ensures that learners receive tailored assessments based on their individual progress and learning needs.