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Hsiao-Ling Hsu; Howard Hao-Jan Chen; Andrew G. Todd – Interactive Learning Environments, 2023
With advances in technology, intelligent personal assistants (IPAs) have become available to assist users with a variety of tasks using voice commands. Because IPAs may induce dialogic interactions, researchers speculated that they may benefit second language learning, especially regarding pronunciation, listening and speaking skills. So far, very…
Descriptors: Foreign Countries, College Students, English (Second Language), Artificial Intelligence
Kim, Byungsoo; Yu, Hangyeol; Shin, Dongmin; Choi, Youngduck – International Educational Data Mining Society, 2021
The needs for precisely estimating a student's academic performance have been emphasized with an increasing amount of attention paid to Intelligent Tutoring System (ITS). However, since labels for academic performance, such as test scores, are collected from outside of ITS, obtaining the labels is costly, leading to label-scarcity problem which…
Descriptors: Academic Achievement, Intelligent Tutoring Systems, Prediction, Scores
Yoon, Su-Youn; Lee, Chong Min; Houghton, Patrick; Lopez, Melissa; Sakano, Jennifer; Loukina, Anastasia; Krovetz, Bob; Lu, Chi; Madani, Nitin – ETS Research Report Series, 2017
In this study, we developed assistive tools and resources to support TOEIC® Listening test item generation. There has recently been an increased need for a large pool of items for these tests. This need has, in turn, inspired efforts to increase the efficiency of item generation while maintaining the quality of the created items. We aimed to…
Descriptors: Natural Language Processing, Language Tests, Item Banks, Pilot Projects
A Prediction Model of Foreign Language Reading Proficiency Based on Reading Time and Text Complexity
Kotani, Katsunori; Yoshimi, Takehiko; Isahara, Hitoshi – Online Submission, 2010
In textbooks, foreign (second) language reading proficiency is often evaluated through comprehension questions. In case, authentic texts are used as reading material, such questions should be prepared by teachers. However, preparing appropriate questions may be a very demanding task for teachers. This paper introduces a method for automatically…
Descriptors: Foreign Countries, Reading Comprehension, Reading Materials, Predictive Measurement