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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Brumbaugh, Heidi; Heift, Trude – TESOL International Journal, 2017
This article describes a research study that determined the depth of vocabulary knowledge of 28 intermediate ESL learners. The study was carried out with Bricklayer, a vocabulary assessment tool for L2 English which tested the ESL learners on 72 words. Two post-tests collected evidence for concurrent validity. A semantic distance test captured…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
El-Banna, Adel I.; Naeem, Marwa A. – Online Submission, 2016
This research work aimed at making use of Machine Translation to help students avoid some syntactic, semantic and pragmatic common errors in translation from English into Arabic. Participants were a hundred and five freshmen who studied the "Translation Common Errors Remedial Program" prepared by the researchers. A testing kit that…
Descriptors: Computational Linguistics, Translation, Statistical Analysis, Syntax
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Ghosn-Chelala, Maria; Al-Chibani, Wessam – International Journal of Information and Learning Technology, 2018
Purpose: The purpose of this paper is to explore screencasting as a computer-mediated feedback approach for Arabic native (L1) speakers taking an English as a foreign language (EFL) college remedial writing class. Design/methodology/approach: This case study focused on an EFL remedial writing class consisting of eight Lebanese, Arabic L1 students…
Descriptors: Remedial Instruction, Computer Mediated Communication, Feedback (Response), Arabic
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Chen, Ling-Hsiu – Computers & Education, 2011
Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…
Descriptors: Foreign Countries, Educational Technology, Cognitive Style, Self Efficacy
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Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction
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Nicaud, Jean Francois; Bitta, Marilena; Chaachoua, Hamid; Inamdar, Parimala; Maffei, Laura – International Journal for Technology in Mathematics Education, 2006
The Aplusix system has been designed for helping students to learn algebra. Its capacity to tell the students whether their calculations are correct or not, to provide families of exercises of a chosen level, and to give scores after tests allows this system to be used in the regular functioning of the class. Its capacity to record the students'…
Descriptors: Mathematics Education, Foreign Countries, Algebra, Remedial Instruction