نتایج جستجو برای: learners preferences

تعداد نتایج: 105219  

Journal: :Educational Technology & Society 2013
Pragya Dwivedi Kamal K. Bharadwaj

In the age of information explosion, e-learning recommender systems (ELRSs) have emerged as the most essential tool to deliver personalized learning resources to learners. Due to enormous amount of information on the web, learner faces problem in searching right information. ELRSs deal with the problem of information overload effectively and provide recommendations by taking into consideration ...

Journal: :Speech Communication 2011
Ruili Wang Jingli Lu

This paper investigates what voice features (e.g., speech rate and pitch-formants) make a teacher’s voice preferable for second language learners to imitate, when they practice sentence pronunciation using Computer-Assisted Pronunciation Training (CAPT) systems. The CAPT system employed in our investigation uses a single teacher’s voice as the source to automatically resynthesize several sample...

Journal: :Educational Technology & Society 2007
Agoritsa Gogoulou Evangelia Gouli Maria Grigoriadou Maria Samarakou Dionisia Chinou

In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve leaning and assessment. SCALE enables learners to (i) work on individual and collaborative activities proposed by the environment with respect to learners’ knowledge level, (ii) participate actively in the assessment process in ...

Journal: :J. UCS 2015
Carlos Alario-Hoyos Iria Estévez-Ayres Mar Pérez-Sanagustín Derick Leony Carlos Delgado Kloos

MOOCs have brought a revolution to education. However, their impact is mainly benefiting people with Higher Education degrees. The lack of support and personalized advice in MOOCs is causing that many of the learners that have not developed work habits and selflearning skills give them up at the first obstacle, and do not see MOOCs as an alternative for their education and training. MyLearningM...

2005
Xin Li Shi-Kuo Chang

In this paper, we describe a personalized e-learning system which can automatically adapt to the interests and levels of learners. The system is designed based on the IEEE Learning Technology Systems Architecture (IEEE LTSA) to achieve high scalability and reusability. A feedback extractor with fusion capability is proposed to combine multiple feedback measures to infer user preferences. User p...

Journal: :Educational Technology & Society 2006
Liddy Nevile Jutta Treviranus

This paper describes the interoperability underpinning a new strategy for delivering accessible computerbased resources to individual learners based on their specified needs and preferences in the circumstances in which they are operating. The new accessibility strategy, known as AccessForAll, augments the model of universal accessibility of resources by engaging automated systems and builds up...

2007
Lihui Wang

In this study, the Felder learning styles inventory was administered to students who were non-English majors in a Chinese University. Descriptive statistics identified that participants do vary in their preference for particular learning styles with a great variety of learning style preferences distributed unevenly among the sample population. A large number of the participants showed mild pref...

2004
Paraskevi K. Tzouveli Phivos Mylonas Stefanos D. Kollias

One of the most important topics in modern Internet-based multimedia e-learning systems oriented towards teachers, students and learners in general, is the treatment of information in a personalized, easy to use and friendly way. In this framework, the automated extraction of learner profiles from such an e-learning system, in order to offer them personalized educational A/V content and e-cours...

Journal: :International Journal of Applied Linguistics and English Literature 2016

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