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Showing 1 to 15 of 22 results Save | Export
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Kang, Okim; Johnson, David – Language Assessment Quarterly, 2018
Suprasegmental features have received growing attention in the field of oral assessment. In this article we describe a set of computer algorithms that automatically scores the oral proficiency of non-native speakers using unconstrained English speech. The algorithms employ machine learning and 11 suprasegmental measures divided into four groups…
Descriptors: Suprasegmentals, Predictive Validity, Predictor Variables, Oral English
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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
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Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung – Educational Technology & Society, 2013
A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…
Descriptors: Electronic Learning, Extraversion Introversion, Individual Differences, Learning Activities
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Alshare, Khaled A.; Freeze, Ronald D.; Lane, Peggy L.; Wen, H. Joseph – Decision Sciences Journal of Innovative Education, 2011
Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self-management of learning, and perceived Web self-efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model…
Descriptors: College Students, Student Attitudes, Satisfaction, Computer Use
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Behrend, Tara S.; Wiebe, Eric N.; London, Jennifer E.; Johnson, Emily C. – Behaviour & Information Technology, 2011
Cloud computing is gaining popularity in higher education settings, but the costs and benefits of this tool have gone largely unexplored. The purpose of this study was to examine the factors that lead to technology adoption in a higher education setting. Specifically, we examined a range of predictors and outcomes relating to the acceptance of a…
Descriptors: Community Colleges, Usability, Rural Areas, Educational Technology
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Yen, Nai-Shing; Tsai, Jie-Li; Chen, Pei-Ling; Lin, Hsuan-Yu; Chen, Arbee L. P. – Behaviour & Information Technology, 2011
To investigate the most efficient way to represent text in reading Chinese on computer displays, three typographic variables, character size (41[feet] arc/24 pixels and 60[feet] arc/32 pixels), character spacing (1/4 and 1/8 character width) and font type (Kai and Ming), were manipulated. Results showed that the reading speed for Chinese…
Descriptors: Foreign Countries, Chinese, Reading Rate, Eye Movements
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Chen, Chien-Hsien; She, Hsiao-Ching – Educational Technology & Society, 2012
This study reports the impact of Recurrent On-Line Synchronous Scientific Argumentation learning on 8th grade students' scientific argumentation ability and conceptual change involving physical science. The control group (N = 76) were recruited to receive conventional instruction whereas the experimental group (N = 74) received the Recurrent…
Descriptors: Foreign Countries, Web Based Instruction, Scientific Concepts, Persuasive Discourse
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Bedek, Michael; Seitlinger, Paul; Kopeinik, Simone; Albert, Dietrich – Electronic Journal of e-Learning, 2012
Digital educational games (DEGs) possess the potential of providing an appealing and intrinsically motivating learning context. Usually this potential is either taken for granted or examined through questionnaires or interviews in the course of evaluation studies. However, an "adaptive" game would increase the probability of a DEG being…
Descriptors: Foreign Countries, Educational Games, Computer Games, Computer Simulation
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Patel, K. K.; Vij, S. – IEEE Transactions on Learning Technologies, 2012
The inability to navigate independently and interact with the wider world is one of the most significant handicaps that can be caused by blindness, second only to the inability to communicate through reading and writing. Many difficulties are encountered when visually impaired people (VIP) need to visit new and unknown places. Current speech or…
Descriptors: Foreign Countries, Computer Simulation, Computer Assisted Instruction, Simulated Environment
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de Freitas Guilhermino Trindade, Daniela; Guimaraes, Cayley; Antunes, Diego Roberto; Garcia, Laura Sanchez; Lopes da Silva, Rafaella Aline; Fernandes, Sueli – Behaviour & Information Technology, 2012
This study analysed the role of knowledge management (KM) tools used to cultivate a community of practice (CP) in its knowledge creation (KC), transfer, learning processes. The goal of such observations was to determine requirements that KM tools should address for the specific CP formed by Deaf and non-Deaf members of the CP. The CP studied is a…
Descriptors: Foreign Countries, Communities of Practice, Knowledge Management, Sign Language
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Cho, Vincent; Cheng, T. C. Edwin; Lai, W. M. Jennifer – Computers & Education, 2009
While past studies on user-interface design focused on a particular system or application using the experimental approach, we propose a theoretical model to assess the impact of perceived user-interface design (PUID) on continued usage intention (CUI) of self-paced e-learning tools in general. We argue that the impact of PUID is mediated by two…
Descriptors: Intention, Foreign Countries, Use Studies, College Students
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
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Yusoff, Rasimah Che Mohd; Zaman, Halimah Badioze; Ahmad, Azlina – Australasian Journal of Educational Technology, 2011
This study investigates users' perception and acceptance of mixed reality (MR) technology. Acceptance of new information technologies has been important research area since 1990s. It is important to understand the reasons why people accept information technologies, as this can help to improve design, evaluation and prediction how users will…
Descriptors: Foreign Countries, Intention, Biomedicine, Science Instruction
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Hung, Jui-Long; Hsu, Yu-Chang; Rice, Kerry – Educational Technology & Society, 2012
This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…
Descriptors: Web Based Instruction, Databases, Virtual Classrooms, Decision Support Systems
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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
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