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This document captures notes from Pearson's Decoding Adaptive.
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"The tools, however, are not a panacea. For several reasons, it’s unlikely that a single tool will ever be able to take over a student’s education and direct them to every single thing they should do. Nor is it likely that we would want it to, as a critical part of education is building student agency – helping students own their learning, make decisions, become lifelong learners, and develop their metacognitive skills." |
Goals
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"... helping every student achieve his or her maximum potential through differentiation" |
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- Choice and Control
- Flexibility to override mastery levels, student skill levels, recommendations, etc.
- Customize to teacher preference for sequencing and pacing.
- Question: Is a dynamically created learning path actually more effective and efficient for students over time?
Features
- MatchIndividualize: Capacity to select the best content for students.
- IndividualizeAnalyze: Capacity to collect data on how students learn.
- Pedagogy: Capacity to use collected data to reveal how students learn.
Expectations
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"The next generation of adaptive learning tools .. help students improve their learning processes .. such as motivation, creativity, perseverance, and self-regulation." |
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Adaptive Learning Tools
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Education technologies that can respond to a student’s interactions in real-time by automatically providing the student with individual support. |
- What are digital adaptive learning tools?
- Education technologies that can respond to a student’s interactions in real-time by automatically providing the student with individual support.
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- Targeted feedback and hints (example tools: Fulcrum Labs, Mathspace, SmartBook)aligned to student's specific misunderstanding or based on student's previous responses.
- Additional review material (e.g, videos, text, private tutoring services).
- Scaffolding, without changing the original sequence of skills.
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Adaptive Sequence Example Types
| Phase | The All-in-one | ComparerThe Comparison | RecommenderThe Recommendation | Educator Do-It-Yourself (DIY) | |
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| Description of example type | Adjusts content based on skills the student should work on next uses weights and thresholds. | Adjusts content by selecting a skill based on skills that similar students previously needed/used. | Adjusts content by recommending activities that similar students found useful. | Adjusts content as predetermined by the teacher for each response. | |
| Collect | Type | academic performance data, learning process data | academic performance data, learning process data | academic performance data, learning process data, interest data | academic performance data |
Granularity + | discrete skill, specific concept, difficulty level | specific concept, difficulty level | general standard or topic | determined by the author | |
| History | learner’s profile over time | learner’s profile over time | learner’s profile over time | -- | |
| Analyze | Learner analysis | weighting categories, applying thresholds of mastery | comparing groups of learners’ data | comparing groups of learners’ data | correct or incorrect response |
| Skill selection | few options | infinite options | -- | one option | |
| Content analysis | -- | -- | usage, interest, effectiveness | -- | |
| Adjust | Delivery | assigns content | assigns content | recommends content | assigns content |
| Amount | group of content | individual content | group of content | determined by the author | |
| Design | related content | independent content | independent content | determined by the author | |
| Examples | DreamBox, Mathspace | Knewton, Waggle, CogBooks, SuccessMaker | Fishtree, Brightspace LeaP, MyLabs | Smart Sparrow | |