Item Response Theory Based Ensemble in Machine Learning

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory

We apply collaborative filtering (CF) to dichotomously scored student response data (right, wrong, or no interaction), finding optimal parameters for each student and item based on cross-validated prediction accuracy. The approach is naturally suited to comparing different models, both unidimensional and multidimensional in ability, including a widely used subset of Item Response Theory (IRT) m...

متن کامل

Adaptive item-based learning environments based on the item response theory: possibilities and challenges

The popularity of intelligent tutoring systems (ITSs) is increasing rapidly. In order to make learning environments more efficient, researchers have been exploring the possibility of an automatic adaptation of the learning environment to the learner or the context. One of the possible adaptation techniques is adaptive item sequencing by matching the difficulty of the items to the learner’s know...

متن کامل

Measuring 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 کامل

Ensemble Methods in Machine Learning

Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a weighted vote of their predictions The original ensemble method is Bayesian aver aging but more recent algorithms include error correcting output coding Bagging and boosting This paper reviews these methods and explains why ensembles can often perform better than any single ...

متن کامل

Psychometric Properties of State Level Subjective Vitality Scale based on classical test theory and Item-response theory

The purpose of the present study was to investigate the factor structure and Item-Response parameters of State Level of Subjective Vitality Scale. The research design was correlational, and the statistical population consisted of students of the Shahid Beheshti University of Tehran. Sample group including 240 students were selected through multi-stage sampling and completed Subjective Vitality ...

متن کامل

ذخیره 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: International Journal of Automation and Computing

سال: 2020

ISSN: 1476-8186,1751-8520

DOI: 10.1007/s11633-020-1239-y