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Mahmoud Abdi Tabari; Minyoung Cho – Language Teaching Research, 2025
To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Advanced Students
Castañeda, Laura; Haggerty, Rebecca – Journalism and Mass Communication Educator, 2019
This study examined two sections of "Reporting and Writing I." One taught writing for text and broadcast concurrently, whereas the other taught these skills sequentially. A student survey found a strong preference for learning subjects sequentially. Outside evaluators assessing final stories rated text projects from students taught…
Descriptors: Student Attitudes, Preferences, Student Surveys, Student Projects
Sura, Thomas – Composition Forum, 2015
Two-course writing sequences are valuable because they extend the time that students spend focused on developing as writers and researchers, yet they cannot rely on a "more is better" argument to justify their ongoing implementation, especially when general education curricula are shrinking and one course often looks much the same as the…
Descriptors: Writing (Composition), Universities, Writing Instruction, Sequential Approach
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