AI Tutor
Conversation sessions, words used, speaking duration and suitable evidence about language skills.
LEARNING INTELLIGENCE · LEARNING PROGRESS
Data-informed learning. Meaningful progress.
Learning Intelligence is LanguageLab’s approach to bringing together AI Tutor conversations, Learning Journey activities and Learn Your Level assessment results. Explore a more complete view of your English learning development.
Explore the Features
THREE LEARNING SOURCES
Three learning experiences. One progress-focused approach.
Speaking practice, structured lesson activities and English level assessments provide complementary learning information.
Learning Journey
Activity completion, correct and incorrect answers, lesson progress and review practice.
Learn Your Level
General English assessment results, assigned CEFR level and initial proficiency context.
Learning Intelligence
Together, these sources can provide a broader understanding of English learning progress.
KEY CAPABILITIES
Personalized, intelligent and measurable insights.
Detailed progress analysis
An approach to examining speaking activity, vocabulary, lesson completion and supported skill indicators over time.
Personalized learning plan
A goal of identifying strengths and areas for improvement to guide individual study priorities.
Meaningful progress reports
An approach to bringing speaking activity, learning outcomes and English level information into one understandable view.
AI-powered recommendations
A goal of using suitable learning evidence to inform suggested practice and learning priorities.
SPEAKING PERFORMANCE
Understand different aspects of English speaking.
Speaking data from AI Tutor sessions can provide a foundation for reviewing learning trends over time. Qualitative scores should only be used when enough validated evaluation evidence is available.
Vocabulary use
Words used and vocabulary range in conversations
Pronunciation
Speech characteristics with suitable evaluation evidence
Grammar
Evidence related to grammatical language use
Fluency
Speaking flow, duration and interaction patterns
HOW IT WORKS
Three learning data sources. A smarter learning journey.
- 1
Bring learning information together
AI Tutor, Learning Journey and Learn Your Level results can be considered together within the appropriate scope.
- 2
Interpret areas of development
Available learning evidence may help identify strengths and areas where further practice could be useful.
- 3
Shape the next steps
The personalization approach aims to help learners prioritize activities aligned with their individual goals.
FREQUENTLY ASKED QUESTIONS
Questions about Learning Intelligence.
What is Learning Intelligence?
Learning Intelligence is LanguageLab’s approach to combining English learning information to understand development over time. It focuses on bringing speaking practice, lesson activity and level assessments into a broader perspective.
What data does Learning Intelligence use?
Its core sources are AI Tutor conversations, Learning Journey activities and Learn Your Level assessment results. Only available, appropriate and interpretable information should be used to generate learning insights.
How are my AI Tutor conversations evaluated?
Conversation duration, words used and turn-taking activities can inform learning progress analysis. Pronunciation, grammar and fluency scores require sufficient validated evidence before they can be interpreted.
Can my pronunciation and fluency be tracked?
The Learning Intelligence approach aims to evaluate trends in these speaking skills over time. The scope of such evaluations depends on available conversation records and verified analysis capabilities.
How does Learning Journey contribute to progress analysis?
Completed lessons, activity outcomes and correct or incorrect answers provide information about the learning process. Considering these alongside speaking practice may help highlight strengths and areas for further study.
Why are English level test results important?
Learn Your Level provides an assessment of the learner’s overall English proficiency. This can offer a useful starting point for setting learning goals and interpreting subsequent progress.
Does Learning Intelligence provide personalized recommendations?
Personalization is a target capability of the Learning Intelligence approach. The availability and scope of recommendations depend on validated product features and suitable learning evidence.
How is my learning data protected?
Learning data should be handled in accordance with access controls, privacy and retention requirements. The applicable privacy policy should explain which personal data is processed and how long it is retained.