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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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Nelson, Timothy S.; Albakry, Mohammed – Journal of College Reading and Learning, 2021
The availability of corpora has greatly strengthened the possibilities of identifying high-frequency lexical items in a more systematic and objective manner than has typically been used for vocabulary instruction. This article adopts a corpus-based approach to accommodate the vocabulary instructional needs of students enrolled in university…
Descriptors: Computational Linguistics, Vocabulary Development, Academic Language, Word Frequency
Pearson, 2018
Pearson sought to explore whether the use of MyLab Math for Developmental Math, a teaching and learning platform predominantly used in higher education by students who need remediation on foundational math skills, is related to students' course grades and likelihood of passing the course. This Research Report presents findings from two research…
Descriptors: Mathematics Instruction, Teaching Methods, Remedial Instruction, College Students
Shudooh, Yusuf M. – Online Submission, 2016
The application of computer-assisted platforms in writing classes is a relatively new paradigm in education. The adoption of computers-assisted writing classes is gaining ground in many western and non western universities. Numerous issues can be addressed when conducting computer-assisted classes (CAC). However, a few studies conducted to assess…
Descriptors: Developmental Studies Programs, Remedial Instruction, Writing Instruction, Computer Assisted Instruction
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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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Dodigovic, Marina – Language Awareness, 2007
While theoretical approaches to error correction vary in the second language acquisition (SLA) literature, most sources agree that such correction is useful and leads to learning. While some point out the relevance of the communicative context in which the correction takes place, others stress the value of consciousness-raising. Trying to…
Descriptors: Second Language Learning, Computer Software, Remedial Instruction, Language Acquisition
Brush, Thomas – 2001
Labette Community College (LCC), Parsons, Kansas, a public comprehensive community college, received a 5-year Title III grant from the U.S. Department of Education to strengthen their academic programs through the implementation of computer-assisted basic skills instruction coupled with a comprehensive retention program. To study the progress…
Descriptors: Basic Skills, College Students, Community Colleges, Computer Software
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Giles, Timothy D. – Journal of Developmental Education, 1993
Explains how the search feature available with most word processing programs can reinforce grammar and proofreading skills, helping students focus on grammatical agreement, comma usage, and sentence fragments. Discusses student responses to the technique. (DMM)
Descriptors: Basic Writing, College Students, Computer Assisted Instruction, Computer Software
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Wepner, Shelley B.; And Others – Journal of Developmental Education, 1989
Compares gains in reading rate and comprehension of students using traditional texts and those using a computer-based, commercially prepared, speed reading package. Offers recommendations for the use of computers in college reading courses, focusing on hardware/software needs and student/teacher responsibilities. (DMM)
Descriptors: College Students, Comparative Analysis, Computer Assisted Instruction, Computer Software