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Malik, Kaleem Razzaq; Mir, Rizwan Riaz; Farhan, Muhammad; Rafiq, Tariq; Aslam, Muhammad – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Research in era of data representation to contribute and improve key data policy involving the assessment of learning, training and English language competency. Students are required to communicate in English with high level impact using language and influence. The electronic technology works to assess students' questions positively enabling…
Descriptors: Knowledge Management, Computer Assisted Testing, Student Evaluation, Search Strategies
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Jraidi, Imene; Frasson, Claude – Educational Technology & Society, 2013
Detecting the student internal state during learning is a key construct in educational environment and particularly in Intelligent Tutoring Systems (ITS). Students' uncertainty is of primary interest as it is deeply rooted in the process of knowledge construction. In this paper we propose a new sensor-based multimodal approach to model…
Descriptors: Intelligent Tutoring Systems, Adults, Student Attitudes, Decision Making
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De Carolis, Berardina; Pizzutilo, Sebastiano; Cozzolongo, Giovanni; Drozda, Pawel; Muci, Francesca – Educational Technology & Society, 2006
Recently, many national and international initiatives show an increasing interest in promoting distance education interventions by Universities. These directives aim at supporting students during their studies providing them with personalized solutions to their problems related not only to the fruition of on-line courses but also to orientation…
Descriptors: Distance Education, Virtual Universities, Internet, Electronic Learning
Hu, Chengren – 1988
This paper describes a study that was undertaken at the University of Illinois at Urbana-Champaign to compare the databases selected by 75 inexperienced student online searchers aided by an existing gateway system--INFOMASTER, a version of EASYNET--with databases selected manually by four experienced searchers who were reference librarians from…
Descriptors: Academic Libraries, Artificial Intelligence, College Students, Comparative Analysis