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Eaton, Sarah Elaine; Crossman, Katherine; Behjat, Laleh; Yates, Robin Michael; Fear, Elise; Trifkovic, Milana – Journal of Academic Ethics, 2020
This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study,…
Descriptors: Computer Software, Plagiarism, College Students, Engineering Education
Al-Jarf, Reima – Online Submission, 2021
Freshman students learning English as foreign language have problems in comprehending English texts such as inability to identify main ideas, paragraph topics, supporting details and the organizational structure of a text. They have difficulty writing a summary or making an outline of the main ideas and important supporting details in a single, or…
Descriptors: Reading Instruction, College Freshmen, Second Language Learning, Second Language Instruction
Suvorov, Ruslan; Gruba, Paul – Language Learning & Technology, 2023
Grounded in the three-tiered transdisciplinary SLA framework of the Douglas Fir Group (2016), we explore how the concept of 'semiotic resources' may be integrated into CALL activity designs. Starting at the macro level, we discuss how language ideology may influence where to situate semiotic resources within initial design considerations. We next…
Descriptors: Semiotics, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
García, Nuria Alonso; Caplan, Alison – Critical Inquiry in Language Studies, 2014
While there are a number of important critical pedagogies being proposed in the field of foreign language study, more attention should be given to providing concrete examples of how to apply these ideas in the classroom. This article offers a new approach to the textual analysis of literary classics through the keyword-based methodology originally…
Descriptors: Second Language Learning, Spanish Literature, Search Strategies, Sociocultural Patterns
Sheehan, Kathleen M. – ETS Research Report Series, 2015
The "TextEvaluator"® text analysis tool is a fully automated text complexity evaluation tool designed to help teachers, curriculum specialists, textbook publishers, and test developers select texts that are consistent with the text complexity guidelines specified in the Common Core State Standards.This paper documents the procedure used…
Descriptors: Scores, Common Core State Standards, Computer Software, Computational Linguistics