What we’re trying to fix …
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Transcript of What we’re trying to fix …
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What we’re trying to fix …
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Challenges in Assessment• Lack of a comprehensive system
– Integrated through education levels– Integrated types and styles– Integrated test
creation/delivery/scoring/reporting system
• Silos of assessment data– Access/availability (dashboard)– Aggregation– Sharing– Analysis– Timeliness
• Lack of predictive capability– Formative/summative gulf– Disconnected with curriculum
• Difficult to test skills & deep knowledge … artificial dichotomy between authentic assessment and mass assessment
• Disconnected with teaching & learning practice
• Difficult to share, remix, deliver
• Difficult to compare teachers, schools, and districts
• Not generally embedded in curriculum
• Challenging to create questions and allow answers in multimedia
• Time consuming to provide mass personalization and adaptive teaching/learning/testing
• Difficult to apply normative, criterion-based, and ipsative/longitudinal yardsticks simultaneously
• No metadata built-in for analysis
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Features - teachers
• Creation– Simple multimedia authoring
• Delivery– Point & click delivery
• Scoring– Automated plus manual in
integrated interface
– Multiple grader support
– Fairscore & Easygrade
• Reporting– Instant access
– Dashboard
– Automated analysis
• Assessment sharing & publishing
– Share via email
– Publish online
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Features - integration
• Mechanics of assessment– Creation
– Delivery
– Scoring
– Reporting
• Levels of assessment– Tiered publishing system,
delivery mechanism, and data model
– Individual, class, grade, school, district, state, country, world
• Types of assessment– Formative/summative
– Exercises, instant quiz, quiz, test, exam, state/international assessment
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Features: authentic assessment
• Rich learning & assessment experiences … beyond multiple choice
• Questions can be– Text
– Images
– Audio
– Video
– Simulations
• Answers can be– Text
– Drawing
– Writing
– Clicking
– Audio (speaking)
– Combination of actions in interaction with a simulation
• ELL, LD, & multiple intelligences benefits
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Features: data driving action• Access
– Dashboards
– Alerts
– Tiered
– Real-time
– Raw & aggregated
• Action– Autoreview
• Adaptive education– Branching
– Multiple assessments, differential delivery
– Manual or automatic adaptation (metadata-driven)
• Predictive capability– Same tool for
formative/summative … and potentially for curriculum
– This will vastly improve predictive capabilities
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Features: data analysis
• Tiered server topology and common data model enables easy analysis and comparison:
– Student
– Class
– Grade level
– Teacher
– School
– District
– State/region
– Country
– World
• Each entity controls its own distribution and data tiers
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