Learned student models with item to item knowledge structures
نویسندگان
چکیده
منابع مشابه
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to questions or exercises and concepts represent latent traits and skills. Bayesian networks can also represent concepts-concepts and concepts-misconceptions relationships. We explore their use for modeling item-item rel...
متن کاملItem-based Bayesian Student Models
Many intelligent educational systems require a component that represents and assesses the knowledge state and the skills of the student. We review how student models can be induced from data and how the skills assessment can be conducted. We show that by relying on graph models with observable nodes, learned student models can be built from small data sets with standard Bayesian Network techniq...
متن کاملMeasuring student learning with item response theory
We investigate short-term learning from hints and feedback in a Web-based physics tutoring system. Both the skill of students and the difficulty and discrimination of items were determined by applying item response theory IRT to the first answers of students who are working on for-credit homework items in an introductory Newtonian physics course. We show that after tutoring a shifted logistic i...
متن کاملThe Role of Item Models in Automatic Item Generation
INTRODUCTION Randy Bennett (2001) claimed, a decade ago, that no topic would become more central to the innovation and future practice in educational assessment than computers and the internet. His prediction has proven to be accurate. Educational assessment and computer technology have evolved at a staggering pace since 2001. As a result many educational assessments, which were once given in a...
متن کاملAmazon.com Recommendations: Item-to-Item Collaborative Filtering
R ecommendation algorithms are best known for their use on e-commerce Web sites,1 where they use input about a customer’s interests to generate a list of recommended items. Many applications use only the items that customers purchase and explicitly rate to represent their interests, but they can also use other attributes, including items viewed, demographic data, subject interests, and favorite...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: User Modeling and User-Adapted Interaction
سال: 2006
ISSN: 0924-1868,1573-1391
DOI: 10.1007/s11257-006-9016-3