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Shamini Shetye – Studies in Applied Linguistics & TESOL, 2024
The recent advancement in technology has attracted learners' attention worldwide to Generative Artificial Intelligence (GenAI) for educational purposes. While GenAI has shown promising results for general language purposes (Godwin-Jones, 2023; Xiao & Zhi, 2023), the potential of GenAI for language learning has not been fully explored. This…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
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Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
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Abrami, Philip C.; Lysenko, Larysa; Borokhovski, Eugene – Journal of Computer Assisted Learning, 2020
ABRACADABRA (ABRA) is an evidence-based suite of interactive multimedia that engages learners in the development of core reading skills. This meta-analysis presents an update of the research evidence about the effectiveness of ABRA for elementary students. It reports 91 effect sizes in six reading-related outcomes for a sample of 7,388 students.…
Descriptors: Meta Analysis, Evidence Based Practice, Multimedia Instruction, Reading Instruction
Utah State Board of Education, 2017
The Utah state legislature established the Early Intervention Software Program ("EISP") to aid in the development of Utah students' literacy skills through computer-based, adaptive reading software programs designed to meet students' unique learning needs. The Evaluation and Training Institute (ETI) conducts an annual evaluation of how…
Descriptors: Computer Software, Literacy, Computer Assisted Instruction, Program Evaluation
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Greene, Jeffrey A.; Moos, Daniel C.; Azevedo, Roger – New Directions for Teaching and Learning, 2011
Self-regulated learning (SRL) skills are enacted dynamically over the course of learning tasks, and the frequency and quality of their use can fluctuate dramatically. Further, students' SRL skills can vary from one academic domain to another and even from one task to another within a single domain. Thus, while SRL skills are essential for…
Descriptors: Computer Assisted Instruction, Self Control, Self Efficacy, Learning
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Yang, Jie Chi; Chen, Sherry Y. – Computers & Education, 2010
Spatial ability is a critical skill in geometric learning. Several studies investigate how to use digital games to improve spatial abilities. However, not every learner favors this kind of support. To this end, there is a need to examine how human factors affect learners' reactions to the use of a digital game to support geometric learning. In…
Descriptors: Spatial Ability, Geometric Concepts, Gender Differences, Geometry
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Greene, Jeffrey Alan; Costa, Lara-Jeane; Robertson, Jane; Pan, Yi; Deekens, Victor M. – Computers & Education, 2010
Researchers and educators continue to explore how to assist students in the acquisition of conceptual understanding of complex science topics. While hypermedia learning environments (HLEs) afford unique opportunities to display multiple representations of these often abstract topics, students who do not engage in self-regulated learning (SRL) with…
Descriptors: Intelligence, Structural Equation Models, Science Achievement, Prior Learning
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Yang, Fang-Ying; Chang, Cheng-Chieh – Computers & Education, 2009
The purpose of the study is to explore three kinds of personal affective traits among high-school students and their effects on web-based concept learning. The affective traits include personal preferences about web-based learning environments, personal epistemological beliefs, and beliefs about web-based learning. One hundred 11th graders…
Descriptors: Grade 11, Epistemology, Student Characteristics, Personality Traits
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Maltby, Alice; Mackie, Sarah – ALT-J: Research in Learning Technology, 2009
The introduction of virtual learning environments (VLEs) has been regarded by some as a panacea for many of the problems in today's mass numbers modular higher education system. This paper demonstrates that VLEs can help or hinder student engagement and performance, and that they should be adapted to the different types of learner. A project is…
Descriptors: Computer Assisted Instruction, Electronic Learning, Virtual Classrooms, Web Based Instruction
Rutherford, Teomara; Kibrick, Melissa; Burchinal, Margaret; Richland, Lindsey; Conley, AnneMarie; Osborne, Keara; Schneider, Stephanie; Duran, Lauren; Coulson, Andrew; Antenore, Fran; Daniels, Abby; Martinez, Michael E. – Online Submission, 2010
This paper describes the background, methodology, preliminary findings, and anticipated future directions of a large-scale multi-year randomized field experiment addressing the efficacy of ST Math [Spatial-Temporal Math], a fully-developed math curriculum that uses interactive animated software. ST Math's unique approach minimizes the use of…
Descriptors: Symbols (Mathematics), Second Language Learning, Spatial Ability, Student Characteristics
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Garner, Stuart – Journal of Information Technology Education, 2009
This paper reports on the findings from a quantitative research study into the use of a software tool that was built to support a part-complete solution method (PCSM) for the learning of computer programming. The use of part-complete solutions to programming problems is one of the methods that can be used to reduce the cognitive load that students…
Descriptors: Control Groups, Academic Achievement, Computer Software, Statistical Analysis
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Roblyer, M. D.; Davis, Lloyd; Mills, Steven C.; Marshall, Jon; Pape, Liz – American Journal of Distance Education, 2008
Two lines of research have emerged to study the causes and prevention of student failure in virtual (K-12) schools: studies of learner characteristics and studies of learning environment characteristics. To develop a useful model for predicting failure and promoting success in virtual school environments, a study was designed to measure the…
Descriptors: Educational Environment, Student Attitudes, Educational Technology, Models
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MacGeorge, Erina L.; Homan, Scott R.; Dunning, John B.; Elmore, David; Bodie, Graham D.; Evans, Ed; Khichadia, Sangeetha; Lichti, Steven M. – Journal of Computing in Higher Education, 2008
Audience Response Technology (ART) has been widely adopted on college campuses, and prior research indicates that, on average, it receives positive evaluations from students. However, research has not yet examined how characteristics of students as learners influence their responses to ART. The current study examined aptitude for learning,…
Descriptors: Student Attitudes, Audience Response, Student Characteristics, Feedback (Response)
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Malone, Thomas W.; And Others – Instructional Science, 1979
Various strategies for dividing time on a computer-assisted instruction system among a number of eligible students were studied using simulation models. Results indicated that different time allocation strategies make very little difference in achievement; a more important variable is the total amount of CAI time used by students. (Author/RAO)
Descriptors: Comparative Analysis, Computer Assisted Instruction, Resource Allocation, Student Characteristics
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Lavin, Bebe F. – Teaching Sociology, 1980
Evaluates benefits of computer-assisted instruction in an introductory sociology course on the college level. Findings indicated that students who used the self-testing computer program performed better than non-users on examinations covering course material. Additional research is suggested on student ability, pattern of use, and performance…
Descriptors: Academic Achievement, Computer Assisted Instruction, Educational Assessment, Higher Education
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