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Direct linkGranena, Gisela; Yilmaz, Yucel – Language Learning, 2019
This study investigated the relative effectiveness of two instructional interventions (implicit and explicit feedback) as a function of implicit sequence-learning ability. Second language (L2) attainment was measured by means of a self-paced reading task, which shows online sensitivity to language errors. Implicit sequence-learning ability was…
Descriptors: Error Correction, Feedback (Response), Instructional Effectiveness, Intervention
Vakili, Shokoufeh; Ebadi, Saman – Computer Assisted Language Learning, 2022
Theoretically grounded in Vygotsky's sociocultural theory of mind, Dynamic Assessment (DA) provides researchers with the opportunity to investigate different aspects of learners' developmental trajectory, including the ways they overcome their errors. As a qualitative inquiry into the nature of errors reflecting learners' development in academic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Testing
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2019
This study investigates the impact on extemporaneous English-language first drafts by using Google Translate (GT) in three different tasks assigned to Chinese sophomore, junior, and senior students of English as a Foreign Language (EFL) majoring in English. Students wrote first in Chinese (Step 1), then drafted corresponding texts in English (Step…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Kang, Okim; Rubin, Don; Kermad, Alyssa – Language Testing, 2019
As a result of the fact that judgments of non-native speech are closely tied to social biases, oral proficiency ratings are susceptible to error because of rater background and social attitudes. In the present study we seek first to estimate the variance attributable to rater background and attitudinal variables on novice raters' assessments of L2…
Descriptors: Evaluators, Second Language Learning, Language Tests, English (Second Language)
Fragkouli, Konstantina; Antoniou, Faye; Mouzaki, Angeliki; Ralli, Asimina M.; Kokkali, Vasiliki; Alexoudi, Kariofyllia – Reading & Writing Quarterly, 2022
The development of spelling skill is an intricate process for children with or at risk of Specific Learning Disabilities and requires targeted interventions. This problem exacerbates in the Greek orthographic system owning to its high complexity. The current study presents a novel spelling intervention program for Greek 3rd graders at risk of…
Descriptors: Intervention, Spelling, At Risk Students, Reading Fluency
Veerasamy, Ashok Kumar; D'Souza, Daryl; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2016
This article presents a study aimed at examining the novice student answers in an introductory programming final e-exam to identify misconceptions and types of errors. Our study used the Delphi concept inventory to identify student misconceptions and skill, rule, and knowledge-based errors approach to identify the types of errors made by novices…
Descriptors: Computer Science Education, Programming, Novices, Misconceptions
Download full textGimeno, Ana, Ed. – European Association for Computer-Assisted Language Learning (EUROCALL), 2014
"The EUROCALL Review" is EUROCALL's open access online scientific journal. Regular sections include: (1) Reports on EUROCALL Special Interest Groups: up-to-date information on SIG activities; (2) Projects: reports on on-going CALL or CALL-related R&D projects; (3) Recommended websites: reports and reviews of examples of good practice…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Grammar
Ahmad, Afaq; Al-Mashari, Ahmed; Al-Lawati, Ali – International Journal of Education and Development using Information and Communication Technology, 2010
This paper presents a computer based diagnostic tool developed to facilitate the learning process. The developed tool is capable of generating possible error syndromes associated with the answers received. The developed tool simulates the error pattern of the test results and then accordingly models the action plan to help in children's learning…
Descriptors: Computer Assisted Testing, Teaching Methods, Learning Processes, Error Patterns
Retnowati, Endah, Ed.; Suprapto, Ed.; Jerusalem, Mohammad Adam, Ed.; Sugiyarto, Kristian, Ed.; Wagiran, Ed. – Routledge, Taylor & Francis Group, 2018
This proceedings volume of InCoTEPD 2018 covers many ideas for handling a wide variety of challenging issues in the field of education. The outstanding ideas dealing with these issues result in innovation of the system. There are many innovation strategies resulting from recent research that are discussed in this book. These strategies will become…
Descriptors: Educational Innovation, Knowledge Level, Skill Development, Vocational Education
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Tatsuoka, Kikumi K.; And Others – 1980
Implementation of an adaptive achievement test for teaching signed-numbers operations to junior high students is described. A computer program capable of finding 240 basic errors in signed-number computations was written on the PLATO system and used for analyzing a 64-item conventional test, as well as an adaptive test of addition problems. The…
Descriptors: Adaptive Testing, Computer Assisted Testing, Educational Diagnosis, Error Patterns
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
