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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
Lege, Ryan; Bonner, Euan – JALT CALL Journal, 2020
Virtual Reality (VR) has made significant inroads into both the consumer and professional sectors. As VR has matured as a technology, its overall practicality for use in education has also increased. However, due to the rapid evolution of the technology, the educational field struggles to stay informed of the latest advancements, changing…
Descriptors: Computer Simulation, Teaching Methods, Classification, Distance Education
Badem, Nihat Yigitcan; Akbulut, Fatma Demiray – Education Reform Journal, 2019
Since the 1960s-1970s, the implementation of Computer-Assisted Language Learning concept has contributed to the progress made on Foreign Language Learning (FLL) in numerous ways. It has enabled the teachers and language learners to enrich the language learning process with improved interactivity with certain learning materials and gave rise to…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, English (Second Language)
Read, Timothy; Barcena, Elena – Journal of Educational Psychology - Propositos y Representaciones, 2020
In this article a proposal is presented for a theoretical framework that could provide the structure and coherence needed for the development of effective LMOOCs (Language MOOCs) and MALL (Mobile Assisted Language Learning) apps in a systematic way that would facilitate online second language learning. The framework is argued to be appropriate for…
Descriptors: Computer Assisted Instruction, Computer Software, Handheld Devices, Telecommunications
Sabourin, Jennifer L.; Mott, Bradford W.; Lester, James C. – International Educational Data Mining Society, 2012
Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing interest. Unfortunately, monitoring these behaviors in real-time has proven…
Descriptors: Computer Assisted Instruction, Goal Orientation, Prediction, Classification
Ludvigsen, Sten R. – Learning, Media and Technology, 2012
In this article, I develop a perspective on learning as multilayered phenomena. I take a socio-genetic approach in order to understand human activity and to show how categories are a fundamental part of learning in a specific type of institutional practice. In the empirical section, student dialogue is analysed in relation to a set of categories…
Descriptors: Foreign Countries, Secondary School Students, Science Education, Inquiry
Franco, Horacio; Bratt, Harry; Rossier, Romain; Rao Gadde, Venkata; Shriberg, Elizabeth; Abrash, Victor; Precoda, Kristin – Language Testing, 2010
SRI International's EduSpeak[R] system is a software development toolkit that enables developers of interactive language education software to use state-of-the-art speech recognition and pronunciation scoring technology. Automatic pronunciation scoring allows the computer to provide feedback on the overall quality of pronunciation and to point to…
Descriptors: Feedback (Response), Sentences, Oral Language, Predictor Variables
Thompson, Kate; Reimann, Peter – Computers & Education, 2010
A classification system that was developed for the use of agent-based models was applied to strategies used by school-aged students to interrogate an agent-based model and a system dynamics model. These were compared, and relationships between learning outcomes and the strategies used were also analysed. It was found that the classification system…
Descriptors: Prior Learning, Classification, Comparative Analysis, Models
Mohammed, Adel Abdulla; Kanpolat, Yavuz Erhan – Electronic Journal of Research in Educational Psychology, 2010
Introduction: Computers and other technological instruments in general have become a more common practice in our schools nowadays, and Computer-assisted instruction (CAI) has been recently provided in various formats from kindergartens on. It can help children at-risk for learning disabilities. Method: This study investigated the effectiveness of…
Descriptors: Learning Disabilities, Computer Assisted Instruction, Classification, Foreign Countries
Griffin, Darren K.; Mitchell, David; Thompson, Simon J. – Computers & Education, 2009
The purpose of this study was to investigate the efficacy of audio-visual synchrony in podcasting and its possible pedagogical benefits. "Synchrony" in this study refers to the simultaneous playback of audio and video data streams, so that the transitions between presentation slides occur at "lecturer chosen" points in the audio commentary.…
Descriptors: Computer Assisted Instruction, Classification, Learning Experience, Lecture Method
Warburton, Steven – British Journal of Educational Technology, 2009
"Second Life" (SL) is currently the most mature and popular multi-user virtual world platform being used in education. Through an in-depth examination of SL, this article explores its potential and the barriers that multi-user virtual environments present to educators wanting to use immersive 3-D spaces in their teaching. The context is set by…
Descriptors: Teaching Methods, Computer Assisted Instruction, Computers, Internet
Costagliola, Gennaro; Fuccella, Vittorio – International Journal of Distance Education Technologies, 2009
To correctly evaluate learners' knowledge, it is important to administer tests composed of good quality question items. By the term "quality" we intend the potential of an item in effectively discriminating between skilled and untrained students and in obtaining tutor's desired difficulty level. This article presents a rule-based e-testing system…
Descriptors: Difficulty Level, Test Items, Computer Assisted Testing, Item Response Theory
Hrastinski, Stefan – Computers & Education, 2008
It is commonly argued that a key challenge for e-learning is to encourage learner participation. Even though this challenge has received increased attention by researchers, little effort has been put into developing a sound theoretical understanding of what online participation actually is and how it may be studied empirically. This paper examines…
Descriptors: Computer Mediated Communication, Research Methodology, Classification, Educational Research
Trgalova, Jana; Bouhineau, Denis; Nicaud, Jean-Francois – International Journal of Computers for Mathematical Learning, 2009
The analysis presented in this article tries to obtain a global view of the field of interactive learning environments (ILE) dedicated to arithmetic and algebra. As preliminaries, a brief overview of evaluation methods focusing on educational software is given and a short description of ten ILEs concerned by the study is provided as a kind of a…
Descriptors: Evaluation Methods, Arithmetic, Algebra, Computer Software
Hui, W.; Hu, P. J.-H.; Clark, T. H. K.; Tam, K. Y.; Milton, J. – Journal of Computer Assisted Learning, 2008
A field experiment compares the effectiveness and satisfaction associated with technology-assisted learning with that of face-to-face learning. The empirical evidence suggests that technology-assisted learning effectiveness depends on the target knowledge category. Building on Kolb's experiential learning model, we show that technology-assisted…
Descriptors: Listening Comprehension, Web Based Instruction, Experiential Learning, Vocabulary Development
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