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Callow, Jon – Language and Education, 2020
While literacy research in the area of multimodality includes a range of communication modes, the combination of the visual and verbal modes is arguably the most common multimodal text form used in classroom contexts from posters, charts and information texts to picture books and graphic novels. Assessment of students' understanding of visual and…
Descriptors: Evaluation Methods, Student Evaluation, Picture Books, Learning Modalities
Lai, Ah-Fur; Chen, Deng-Jyi; Chen, Shu-Ling – Journal of Educational Multimedia and Hypermedia, 2008
The IRT (Item Response Theory) has been studied and applied in computer-based test for decades. However, almost of all these existing studies evaluated focus merely on test questions with text-based (or static text/graphic) type of presentation form illustrated exclusively. In this paper, we present our study on test questions using both…
Descriptors: Elementary School Students, Semantics, Difficulty Level, Item Response Theory
Wauters, Loes N.; van Bon, Wim H. J.; Tellings, Agnes E. J. M.; van Leeuwe, Jan F. J. – American Annals of the Deaf, 2006
The present study examined whether specific item characteristics, such as mode of acquisition (MoA) of word meanings, make reading comprehension tests particularly difficult for deaf children. Reading comprehension data on nearly 13,000 hearing 7-to-12-year-olds and 253 deaf 7-to-20-year-olds were analyzed, divided across test levels from second…
Descriptors: Semantics, Deafness, Age Differences, Reading Comprehension
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