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Showing 1 to 15 of 25 results Save | Export
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Pavlik, Philip; Eglington, Luke; Harrell-Williams, Leigh – IEEE Transactions on Learning Technologies, 2021
Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…
Descriptors: Technology Uses in Education, Educational Technology, Models, Computer Assisted Instruction
Pavlik, Philip I., Jr.; Eglington, Luke G.; Harrell-Williams, Leigh M. – Grantee Submission, 2021
Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…
Descriptors: Technology Uses in Education, Educational Technology, Models, Computer Assisted Instruction
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Nguyen, Long Quoc; Le, Ha Van – Education and Information Technologies, 2023
Technology integration in second language acquisition (SLA) has become prevalent and prominent in the modern age. Quizlet has emerged as a vocabulary learning tool integrated not only into computers (CALL) but also into mobile phones (MALL), over the years; its effectiveness has already been proved via several quasi-experimental studies. However,…
Descriptors: Second Language Learning, Vocabulary Development, Tests, Educational Technology
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Nourollah Zarrinabadi; Mohsen Rezazadeh; Alireza Mohammadzadeh Mohammadabadi – Computer Assisted Language Learning, 2024
This article reports on a study that examined the relationship between language learners' L2 grit and language mindsets and their attitudes toward CALL. The participants of the study were 625 EFL learners (male = 165, 26.4%; female = 460, 73.6%) with the mean age of 24.4 years (SD = 1.74). They were asked to respond to questionnaires on language…
Descriptors: Second Language Learning, Resilience (Psychology), Student Attitudes, English (Second Language)
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Goh, Joelene; Truman, Barbara; Barber, Daniel – Interactive Learning Environments, 2019
Identifying characteristics of individuals who will be negatively impacted by interactive learning environments (ILE) was explored in a field study conducted among learners whose high-stakes performance depended upon grasping training scenarios quickly. Gauging the appropriateness of computer-based simulations for individuals became a pedagogical…
Descriptors: Individual Differences, Computer Assisted Instruction, Educational Technology, Self Efficacy
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Tsubak, Michiko; Maeda, Yoshihiro – Education and Information Technologies, 2020
The Ministry of Education, Culture, Sports, Science and Technology in Japan (2011) started the 'Foreign Language Activities' in fifth grade based on the new Courses of Study in April of 2011. The ministry has considered beginning this course in third grade and the 'English Course' in 5th grade in order to improve students' reading, writing,…
Descriptors: Educational Technology, Individual Differences, Instructional Effectiveness, English (Second Language)
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Grice, Sue; Hughes, Janet – Journal of Educational Multimedia and Hypermedia, 2009
Despite the wide use of music in various areas of society to influence listeners in different ways, one area often neglected is the use of music within online learning environments. This paper describes a study of the effects of music and animation upon learners in a computer mediated environment. A test was developed in which each learner was…
Descriptors: Electronic Learning, Animation, Music, Online Courses
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Lau, Siong-Hoe; Woods, Peter C. – British Journal of Educational Technology, 2009
Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…
Descriptors: Electronic Learning, Student Attitudes, Intention, Information Systems
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Winke, Paula; Goertler, Senta; Amuzie, Grace L. – Computer Assisted Language Learning, 2010
In this study, we present the analyses stemming from a survey administered to 2149 foreign language learners at Michigan State University. We had three goals. First, we aimed to compile a profile of language learners' technological acumen, access to and ownership of technology, and the current uses of technology across a wide range of languages…
Descriptors: Alphabets, Ownership, Orthographic Symbols, Second Language Learning
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Ramesh, R.; Sumathi, B. – Journal on School Educational Technology, 2010
English is a language, which is spoken by numerous people across the world. It has acquired a prominent place in meeting the communicational needs of the people. Grammar is a set of rules that helps the people to use the language better. In schools, the teachers of English are considered as the most important factor in making the study of English…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Abraham, Lee B. – Computer Assisted Language Learning, 2008
Language learners have unprecedented opportunities for developing second language literacy skills and intercultural understanding by reading authentic texts on the Internet and in multimedia computer-assisted language learning environments. This article presents findings from a meta-analysis of 11 studies of computer-mediated glosses in second…
Descriptors: Reading Comprehension, Second Language Learning, Effect Size, Educational Technology
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Liu, Han-Chin; Andre, Thomas; Greenbowe, Thomas – Journal of Science Education and Technology, 2008
It is complicated to design a computer simulation that adapts to students with different characteristics. This study documented cases that show how college students' prior chemistry knowledge level affected their interaction with peers and their approach to solving problems with the use of computer simulations that were designed to learn…
Descriptors: Science Instruction, Individual Differences, Knowledge Level, Prior Learning
Mitzel, Harold E. – Journal of Computer-Based Instruction, 1981
Argues that a well-articulated theory of instruction provides a guide for the evaluation of computer-assisted instructional systems by helping to define the criteria. Individual differences, responsive environment, criterion-referenced education, and cognitive psychology are discussed in reference to adaptive education. Thirteen references are…
Descriptors: Bibliographies, Cognitive Processes, Competency Based Education, Computer Assisted Instruction
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Bassili, J. N. – Journal of Computer Assisted Learning, 2006
When presented with the option to use a new instructional technology, students often face an approach-avoidance conflict. This study explored promotion and prevention orientations, concepts linked to approach and avoidance in Higgins's regulatory focus theory, in the choice to attend lectures or watch them online. Openness, a core disposition in…
Descriptors: Personality Assessment, Internet, Teaching Methods, Individual Differences
McNamara, Sue, Comp. – 1988
Designed to aid teachers who are planning classes in the telematics mode, this checklist begins by reminding them that, in this mode, students cannot see them in the conventional sense, and classes are conducted using computer, telephone, modem, and microphone links. The checklist covers the following areas of concern: (1) the planning stage,…
Descriptors: Check Lists, Cognitive Style, Computer Assisted Instruction, Distance Education
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