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Bosch, Nigel; Paquette, Luc – Journal of Educational Data Mining, 2021
Transition metrics, which quantify the propensity for one event to follow another, are often utilized to study sequential patterns of behaviors, emotions, actions, and other states. However, little is known about the conditions in which application of transition metrics is appropriate. We report on two experiments in which we simulated sequences…
Descriptors: Sequential Approach, Probability, Measurement Techniques, Statistical Analysis
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Agnello, Armelinda; Carre, Cyril; Billen, Roland; Leyh, Bernard; De Pauw, Edwin; Damblon, Christian – Journal of Chemical Education, 2018
The analysis of spectroscopic data to solve chemical structures requires practical skills and drills. In this context, we have developed ULg Spectra, a computer-based tool designed to improve the ability of learners to perform complex reasoning. The identification of organic chemical compounds involves gathering and interpreting complementary…
Descriptors: Science Instruction, Spectroscopy, College Science, Undergraduate Study
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Shin, Yoonhee; Kim, Dongsik; Jung, Jaewon – Educational Technology & Society, 2018
This study investigated the effectiveness of visible-annotation types used in online discussions to enhance the accuracy of shared knowledge and the level of constructed knowledge in computer-supported collaborative learning environments. Three types of visible-annotation were developed specifically for this study, which had the function of…
Descriptors: Documentation, Computer Mediated Communication, Cooperative Learning, Visual Aids
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Borge, Marcela; Ong, Yann Shiou; Rosé, Carolyn Penstein – International Journal of Computer-Supported Collaborative Learning, 2018
In this paper, we propose a conceptual framework to guide the design of a computer-supported collaborative learning intervention to help students learn how to improve collaborative knowledge building discourse at the level of the small group. The framework focuses on scripting individual and collective regulatory processes following collaboration.…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Intervention, Discussion
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Erdem, Cahit; Saykili, Abdullah; Kocyigit, Mehmet – Turkish Online Journal of Distance Education, 2018
This study primarily aims to adapt the Foreign Language Learning (FLL), Computer assisted Learning (CAL) and Computer assisted Language Learning (CALL) scales developed by Vandewaetere and Desmet into Turkish context. The instrument consists of three scales which are "the attitude towards CALL questionnaire" ("A-CALL")…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Liao, Ying; Lin, Wen-He – EURASIA Journal of Mathematics, Science & Technology Education, 2016
In the era when digitalization is pursued, numbers are the major medium of information performance and statistics is the primary instrument to interpret and analyze numerical information. For this reason, the cultivation of fundamental statistical literacy should be a key in the learning area of mathematics at the stage of compulsory education.…
Descriptors: Academic Achievement, Memory, Computer Assisted Instruction, Statistics
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Foroughi, Cyrus K.; Werner, Nicole E.; McKendrick, Ryan; Cades, David M.; Boehm-Davis, Deborah A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Previous research has shown that there is a time cost (i.e., a resumption lag) associated with resuming a task following an interruption and that the longer the duration of the interruption, the greater the time cost (i.e., resumption lag increases as interruption duration increases). The memory-for-goals model (Altmann & Trafton, 2002)…
Descriptors: Individual Differences, Short Term Memory, Task Analysis, Attention Control
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Youngs, Bonnie L.; Prakash, Akhil; Nugent, Rebecca – Computer Assisted Language Learning, 2018
Logged tracking data for online courses are generally not available to instructors, students, and course designers and developers, and even if these data were available, most content-oriented instructors do not have the skill set to analyze them. Learning analytics, mined from logged course data and usually presented in the form of learning…
Descriptors: Online Courses, French, Second Language Learning, Second Language Instruction
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Konak, Abdullah; Kulturel-Konak, Sadan; Nasereddin, Mahdi; Bartolacci, Michael R. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: This paper utilizes the Technology Acceptance Model (TAM) to examine the extent to which acceptance of Remote Virtual Computer Laboratories (RVCLs) is affected by students' technological backgrounds and the role of collaborative work. Background: RVCLs are widely used in information technology and cyber security education to provide…
Descriptors: Technology Integration, Technology Uses in Education, Educational Technology, Computer Attitudes
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Gelan, Anouk; Fastré, Greet; Verjans, Martine; Martin, Niels; Janssenswillen, Gert; Creemers, Mathijs; Lieben, Jonas; Depaire, Benoît; Thomas, Michael – Computer Assisted Language Learning, 2018
Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date,…
Descriptors: Data Collection, Data Analysis, Computer Assisted Instruction, Second Language Instruction
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Daniels, Paul; Iwago, Koji – JALT CALL Journal, 2017
As online automatic speech recognition (ASR) engines become more accurate and more widely implemented with call software, it becomes important to evaluate the effectiveness and the accuracy of these recognition engines using authentic speech samples. This study investigates two of the most prominent cloud-based speech recognition engines--Apple's…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Computer Software
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Harvey-Scholes, Calum – Computer Assisted Language Learning, 2018
Software can facilitate English as a Foreign Language (EFL) students' self-correction of their free-form writing by detecting errors; this article examines the proportion of errors which software can detect. A corpus of 13,644 words of written English was created, comprising 90 compositions written by Spanish-speaking students at levels A2-B2…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Correction
Hao, Shuang – ProQuest LLC, 2016
Scaffolding is a type of instructional support that helps students to complete a learning task that exceeds their current ability. Scaffolding plays an important role in augmenting other instructional approaches, such as problem-based learning, and facilitates gradual shifts of responsibility from the more advanced others to the learner (Belland,…
Descriptors: Computer Assisted Instruction, Scaffolding (Teaching Technique), Academic Achievement, Cognitive Processes
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Nisiforou, Efi; Parmaxi, Antigoni – Research-publishing.net, 2016
Language researchers have identified a number of elements related to language performance. One of these factors is individual attributes of the language learners or their cognitive ability. In the fall semester 2015, 18 undergraduates of Greek for academic purposes language course of a public university in Cyprus participated in the study. This…
Descriptors: Language Skills, Cognitive Ability, Undergraduate Students, Greek
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Gyamfi, George; Sukseemuang, Panida – Open Praxis, 2017
This descriptive study aimed at finding the impact of Tell Me More (TMM), an online language-learning program, on English as a foreign language (EFL) undergraduate learners' achievement in a University in Thailand. The study also looked at whether the time of use of TMM had an effect on learners' achievement. Data was collected from the scores of…
Descriptors: Foreign Countries, Second Language Instruction, English (Second Language), Undergraduate Students
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