The Thrive AI Assistant (Kiki) can read and understand content inside many common elearning package formats, helping learners search for information within courses – not just by course title or description. This includes support for a wide range of SCORM and digital learning package types commonly used across learning platforms and authoring tools.
Supported Package Types
Kiki currently supports content extraction from:
SCORM 1.1
SCORM 1.2
SCORM 2004
cmi5
Tin Can / xAPI
Adapt packages
Generic HTML learning packages
Support includes many packages created using tools such as:
Articulate Storyline
Articulate Rise
Adapt
Evolve
EdApp
What Kiki Can Read
Depending on the package type and how the content was authored, Kiki may be able to read and search:
Lesson and slide text
Page content
Transcripts and captions
Quiz and assessment questions
Audio narration transcripts
Multilingual/localised content
This helps learners discover relevant knowledge and answers directly from inside learning modules.
Storyline Support
Kiki supports Storyline SCORM exports and can extract searchable learning content from supported packages. This includes support for both standard and newer export formats.
Rise Support
Kiki supports Articulate Rise packages across multiple export formats. This includes support for multilingual and localised learning content where available.
Adapt and Evolve Support
Kiki supports Adapt and Evolve learning packages, including many standalone and SCORM-based exports. Searchable transcript extraction is supported for compatible media content.
Multilingual Content
Localised SCORM bundles are supported. Where packages contain multiple language versions, Kiki can identify and extract translated learning content to improve search experiences for global learners.
Quiz and Assessment Extraction
For supported package types, Kiki can extract:
Quiz questions
Answer content
Assessment text
Interaction prompts
This allows learners to search for specific concepts and knowledge contained within assessments and learning checks.
Reliability and Compatibility
Our ingestion pipeline includes compatibility handling for a wide variety of real-world package structures and export styles. This includes support for:
Nested manifests
Multiple manifests within a package
Inconsistent package structures
Legacy exports
These improvements help reduce upload issues and improve search consistency across learning content.
Current Limitations
Some specialist or highly proprietary authoring tools are not currently supported. Examples include:
Gomo
Kwantic
Litmos Spark
Skillcast
Some remote-hosted or streaming-only learning formats may also have limited support.