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Sarwar, Sohail; García-Castro, Raul; Qayyum, Zia Ul; Safyan, Muhammad; Munir, Rana Faisal – International Association for Development of the Information Society, 2017
Learner categorization has a pivotal role in making e-learning systems a success. However, learner characteristics exploited at abstract level of granularity by contemporary techniques cannot categorize the learners effectively. In this paper, an architecture of e-learning framework has been presented that exploits the machine learning based…
Descriptors: Student Characteristics, Profiles, Courseware, Electronic Learning
Mahalingam, Sheila; Abdollah, Mohd Faizal; bin Sahibuddin, Shahrin – International Journal of Distance Education Technologies, 2014
Mobile Learning has a potential to improve efficiency in the education sector and expand educational opportunities to underserved remote area in higher learning institutions. However there are multi challenges in different altitude faced when introducing and implementing m-learning. Despite the evolution of technology changes in education,…
Descriptors: Electronic Learning, Computer Security, Reliability, Computer System Design
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
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
Doubleday, Eldridge G.; O'Loughlin, Valerie D.; Doubleday, Alison F. – Anatomical Sciences Education, 2011
An increasing number of instructors are seeking to provide students with online anatomy resources. Many researchers have attempted to identify associations between resource use and student learning but few studies discuss the importance of usability testing in resource design and modification. Usability testing provides information about ease of…
Descriptors: Electronic Learning, Testing, Online Courses, Anatomy
Yoon, Sangil – ProQuest LLC, 2010
ICUE (Interactivity Centered Usability Evaluation) is an enhanced usability testing protocol created by the researcher. ICUE augments the facilitator's role for usability testing, and offers strategies in developing and presenting usability tasks during a testing session. ICUE was designed to address weaknesses found in the usability evaluation of…
Descriptors: Use Studies, Management Systems, Testing, Interaction
Wilson, Scott – Interactive Learning Environments, 2008
The use of design patterns is now well established as an approach within the field of software systems as well as within the field of architecture. An initial effort was made to harness patterns as a tool for elaborating the design of the elements of personal learning environments as part of the University of Bolton's Personal Learning Environment…
Descriptors: Pattern Recognition, Educational Environment, Patternmaking, Cybernetics
Foley, Alan – Journal of Educational Multimedia and Hypermedia, 2011
In this paper, data obtained from a university website accessibility and usability validation process are analyzed and used to demonstrate how the design process can affect the online experience for users with disabilities. Interviews, observations, and use data (e.g. where users clicked on a page or what path taken through a site) were collected.…
Descriptors: Standards, Special Needs Students, Testing, Evaluation Criteria
Seok, Soonhwa; Meyen, Edward; Poggio, John C.; Semon, Sarah; Tillberg-Webb, Heather – Quarterly Review of Distance Education, 2008
This article addresses how evaluation criteria improve educational Web-information system design, and the tangible and intangible benefits of using evaluation criteria, when implemented in an educational Web-information system design. The evaluation criteria were developed by the authors through a content validation study applicable to…
Descriptors: Evaluation Criteria, Information Systems, Internet, Computer System Design
Song, Sang Chul – ProQuest LLC, 2010
An unprecedented amount of information encompassing almost every facet of human activities across the world is generated daily in the form of zeros and ones, and that is often the only form in which such information is recorded. A good fraction of this information needs to be preserved for periods of time ranging from a few years to centuries.…
Descriptors: Information Needs, Information Sources, Indexing, Access to Information
Xi, Xiaoming; Higgins, Derrick; Zechner, Klaus; Williamson, David M. – ETS Research Report Series, 2008
This report presents the results of a research and development effort for SpeechRater? Version 1.0 (v1.0), an automated scoring system for the spontaneous speech of English language learners used operationally in the Test of English as a Foreign Language™ (TOEFL®) Practice Online assessment (TPO). The report includes a summary of the validity…
Descriptors: Speech, Scoring, Scoring Rubrics, Scoring Formulas
Ieronutti, Lucio; Chittaro, Luca – Computers and Education, 2007
Web-based education and training provides a new paradigm for imparting knowledge; students can access the learning material anytime by operating remotely from any location. Web3D open standards, such as X3D and VRML, support Web-based delivery of Educational Virtual Environments (EVEs). EVEs have a great potential for learning and training…
Descriptors: Architecture, Computer Assisted Instruction, Computer System Design, Database Design