Supporting Multiple Learning Experiences on a Childhood Vocabulary Tutoring Platform
| Autor: | Allison Allain, Ravi Kokku, Tamer E. Abuelsaad, Aditya Vempaty |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Vocabulary
Computer science media_common.quotation_subject 05 social sciences 050301 education 02 engineering and technology 020204 information systems Cultural diversity Scalability 0202 electrical engineering electronic engineering information engineering Decoupling (probability) Mathematics education Rapid convergence Equivalence (formal languages) 0503 education media_common |
| Zdroj: | Intelligent Tutoring Systems ISBN: 9783319914633 ITS |
| Popis: | We present a unified learner modeling approach in a childhood vocabulary tutoring platform that enables learning continuum across multiple learning experiences. By decoupling experiences from learner modeling, multiple learning experiences can be developed independently making learning approaches scalable in an inherently diverse setting: each child, his/her family, environment, geography, cultural differences can all make each learner really unique. By understanding the information-theoretic equivalence of different assessment types, and mapping different play and learning activities to one or more of these types, we can enable a rapid convergence of the learner model to better represent a young learner’s knowledge. More interestingly, when normalized, different assessment types converge at different levels of the normalized score. |
| Databáze: | OpenAIRE |
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