scholarly journals An explanatory item response theory method for alleviating the cold-start problem in adaptive learning environments

2018 ◽  
Vol 51 (2) ◽  
pp. 895-909 ◽  
Author(s):  
Jung Yeon Park ◽  
Seang-Hwane Joo ◽  
Frederik Cornillie ◽  
Han L. J. van der Maas ◽  
Wim Van den Noortgate
2019 ◽  
Vol 137 ◽  
pp. 91-103 ◽  
Author(s):  
Konstantinos Pliakos ◽  
Seang-Hwane Joo ◽  
Jung Yeon Park ◽  
Frederik Cornillie ◽  
Celine Vens ◽  
...  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 125893-125908
Author(s):  
Lihui Zhang ◽  
Gancheng Zhu ◽  
Shujie Zhang ◽  
Xiangping Zhan ◽  
Jun Wang ◽  
...  

2021 ◽  
Vol 23 (2) ◽  
pp. 201-208
Author(s):  
Wahyuni Wahyuni ◽  
Muhammad Fahmi

Analysis of the quality of the items is carried out so that the questions made actually consist of quality items in order to measure learning outcomes. Currently, there are still many teachers who have not analyzed the questions they made because they think that analyzing the questions takes a long time and takes a lot of energy. As a result, many items used cannot produce correct data about student learning outcomes. Therefore, a Question Item Analysis System was made using the Website-based Item Response Theory method to determine the quality of the items presented. In this study, a website-based item analysis system was developed using the item response theory method with a 3PL approach model. This system is made one package with CBT. Responses from participants to analyze the items are obtained automatically when participants take the CBT test


2020 ◽  
Vol 44 (7-8) ◽  
pp. 561-562
Author(s):  
Joshua N. Pritikin ◽  
Carl F. Falk

There are many item response theory software packages designed for users. Here, the authors introduce an environment tailored to method development and simulation. Implementations of a selection of classic algorithms are available as well as some recently developed methods. Source code is developed in public repositories on GitHub; your collaboration is welcome.


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