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Chan, Sathena; May, Lyn – Language Testing, 2023
Despite the increased use of integrated tasks in high-stakes academic writing assessment, research on rating criteria which reflect the unique construct of integrated summary writing skills is comparatively rare. Using a mixed-method approach of expert judgement, text analysis, and statistical analysis, this study examines writing features that…
Descriptors: Scoring, Writing Evaluation, Reading Tests, Listening Skills
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Otto, Ana – Latin American Journal of Content and Language Integrated Learning, 2018
Assessment is one of the most contested topics in Content and Language Integrated Learning (CLIL) because of the duality between content and language, and the lack of official guidelines and research on this matter. Furthermore, as CLIL is an umbrella term portraying different realities, it is essential to consider the educational contexts in…
Descriptors: Course Content, Language of Instruction, Second Language Learning, Second Language Instruction
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Arévalo, María-José; Cantera, María Asun; García-Marina, Vanessa; Alves-Castro, Marian – Education Sciences, 2021
Although Error Analysis (EA) has been broadly used in Foreign Language and Mother Tongue learning contexts, it has not been applied in the field of engineering and by STEM (Science, Technology, Engineering, and Mathematics) students in a systematic way. In this interdisciplinary pilot study, we applied the EA methodology to a wide corpus of…
Descriptors: STEM Education, Instructional Design, Essays, Computational Linguistics
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Metz, Paul; Foltin, Bela, Jr. – College and Research Libraries, 1990
Argues that the internal organization of collection development and the nature of science and scholarship lead to inevitable gaps in collection development. The structural and intellectual causes of collection development gaps are analyzed, and a number of areas whose literatures are especially vulnerable to being ignored or overlooked by…
Descriptors: Academic Libraries, Error Patterns, Higher Education, Intellectual Disciplines
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Park, Ok-choon; Seidel, Robert J. – Educational Technology, Research and Development, 1989
Proposes a schematic multidisciplinary model to help developers of intelligent computer-assisted instruction (ICAI) identify the types of required expertise and integrate them into a system. Highlights include domain types and expertise; knowledge acquisition; task analysis; knowledge representation; student modeling; diagnosis of learning needs;…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Error Patterns