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Ockey, Gary J.; Koyama, Dennis; Setoguchi, Eric; Sun, Angela – Language Testing, 2015
The purpose of this study was to determine the extent to which performance on the TOEFL iBT speaking section is associated with other indicators of Japanese university students' abilities to communicate orally in an academic English environment and to determine which components of oral ability for these tasks are best assessed by TOEFL iBT. To…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Correlation
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Cho, Yeonsuk; Bridgeman, Brent – Language Testing, 2012
This study examined the relationship between scores on the TOEFL Internet-Based Test (TOEFL iBT[R]) and academic performance in higher education, defined here in terms of grade point average (GPA). The academic records for 2594 undergraduate and graduate students were collected from 10 universities in the United States. The data consisted of…
Descriptors: Evidence, Academic Records, Graduate Students, Universities
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Wilson, Damian Vergara – Heritage Language Journal, 2012
This paper illustrates a method of item analysis used to identify discriminating multiple-choice items in placement data. The data come from two rounds of pilots given to both SHL students and Spanish as a Second Language (SSL) students. In the first round, 104 items were administered to 507 students. After discarding poor items, the second round…
Descriptors: Heritage Education, Graphs, Item Analysis, Correlation
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Naude, Kevin A.; Greyling, Jean H.; Vogts, Dieter – Computers & Education, 2010
We present a novel approach to the automated marking of student programming assignments. Our technique quantifies the structural similarity between unmarked student submissions and marked solutions, and is the basis by which we assign marks. This is accomplished through an efficient novel graph similarity measure ("AssignSim"). Our experiments…
Descriptors: Grading, Assignments, Correlation, Interrater Reliability
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection