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Ayse Taskiran; Mujgan Yazici; Irem Erdem Aydin – E-Learning and Digital Media, 2024
In recent years, automated feedback (AF) has greatly increased its applicability as a mean to support development of English as a foreign language (EFL) learners' writing competence in the context of face-to-face education. This study examines contribution of AF to the development of writing competence of EFL learners in open and distance learning…
Descriptors: Automation, Feedback (Response), Writing (Composition), English (Second Language)
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Van Nguyen, My – The EUROCALL Review, 2023
The present study aimed to explore learners' perceptions while using Google Translate (GT) during online English-Writing lessons and to evaluate its effectiveness on learners' English writing skills. Online questionnaires and individual interviews were used to collect self-reported opinions from 24 Vietnamese students. Learner writing samples from…
Descriptors: Translation, Writing Skills, Electronic Learning, English (Second Language)
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Milz, Sabine – Canadian Journal for the Scholarship of Teaching and Learning, 2020
This observational study adds to a small number of college-specific studies comparing student performance in online and face-to-face versions of the same course. It also complements more largescale college-based studies that compare the delivery formats across courses, disciplines, and institutions. Using descriptive statistics and the chi-square…
Descriptors: Academic Achievement, Student Evaluation, Conventional Instruction, Electronic Learning
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IGI Global, 2018
In the digital age, numerous technological tools are available to enhance educational practices. When used effectively, student engagement and mobile learning are significantly increased. "Social Media in Education: Breakthroughs in Research and Practice" contains a compendium of the latest academic material on the usage, strategies, and…
Descriptors: Social Media, Educational Practices, Technology Uses in Education, Constructivism (Learning)
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Borokhovski, Eugene; Tamim, Rana; Bernard, Robert M.; Abrami, Philip C.; Sokolovskaya, Anna – Distance Education, 2012
This systematic review draws from and builds upon the results of a meta-analysis of the achievement effects of three types of interaction treatments in distance education: student-student, student-teacher, and student-content (Bernard et al., "Review of Educational Research," 79(3), 1243-1289, 2009). This follow-up study considers two forms of…
Descriptors: Academic Achievement, Interaction, Electronic Learning, Distance Education
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de la Fuente, Jesús; López, Mireia; Zapata, Lucía; Martínez-Vicente, Jose Manuel; Vera, Manuel Mariano; Solinas, Giulliana; Fadda, Salvatore – Electronic Journal of Research in Educational Psychology, 2014
There has been growing research interest in achievement emotions in university teaching-learning processes in recent years. While their importance has been firmly established, there continues to be a need for assessment and intervention models. The objective of this report is to present the "Competency Model for Studying, Learning and…
Descriptors: Stress Variables, Higher Education, Academic Achievement, Coping
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Banditvilai, Choosri – Electronic Journal of e-Learning, 2016
This paper presents a case study of using blended learning to enhance students' language skills and learner autonomy in an Asian university environment. Blended learning represents an educational environment for much of the world where computers and the Internet are readily available. It combines self-study with valuable face-to-face interaction…
Descriptors: Language Skills, Blended Learning, Case Studies, Asians
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