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Venant, Rémi; d'Aquin, Mathieu – International Educational Data Mining Society, 2019
The evaluation of text complexity is an important topic in education. While this objective has been addressed by approaches using lexical and syntactic analysis for decades, semantic complexity is less common, and the recent research works that tackle this question rely on machine learning algorithms that are hardly explainable and are not…
Descriptors: Semantics, Difficulty Level, Concept Mapping, Graphs
Jackson, Fiona – Language and Education, 2016
Mapping the knowledge formations of language teachers within their pedagogic practices is underresearched, particularly for subject English, a multi-faceted, elusively defined discipline. Deeper knowledge of the pedagogy of subject English teachers is critical, especially within South African education, given the socio-economic power of English in…
Descriptors: High School Students, English Literature, Profiles, Teaching Methods
Young, John W.; Morgan, Rick; Rybinski, Paul; Steinberg, Jonathan; Wang, Yuan – ETS Research Report Series, 2013
The "TOEFL Junior"® Standard Test is an assessment that measures the degree to which middle school-aged students learning English as a second language have attained proficiency in the academic and social English skills representative of English-medium instructional environments. The assessment measures skills in three areas: listening…
Descriptors: Item Response Theory, Test Items, Language Tests, Second Language Learning
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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