نتایج جستجو برای: individual learning styles detection

تعداد نتایج: 1541896  

2004
Estefanía Martín Pedro Paredes

Collaborative tools have been used in educational contexts for supporting communication and collaboration among students, discussions about topics, cooperative problem resolution, knowledge sharing and collaborative knowledge construction. A proper use of these tools reduces student isolation in web-based courses and facilitates the development of personal and social skills. At the same time, i...

2014
Jennifer Beckmann Sven Bertel Steffi Zander

Adaptive eLearning systems are able to adjust to a user’s learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for eLearning. This contribution presents original research on using differences in individual learning styles. Factors related to performance, motivation, satisfaction, and previous knowledge were targeted and use...

2016
Heejeon Suh

This study aims to analyze university students’ learning strategies preferred in the knowledge creation process and academic achievement according to their learning styles in a cyber learning environment. The participants of this study were 196 university students who attended cyber lecture classes in C University in Korea, and the research instruments were Felder-Silverman’s learning styles in...

2003
Namira Bajraktarevic Wendy Hall

In this paper a hypermedia system that incorporates global and sequential learning styles is described. Elements of learning styles such as the sequencing of pages and structure have been incorporated in the courseware. Two different presentation style user interface templates were employed. The system provides an alternative to the “one size fits all” approach to development of web-based educa...

Journal: :Research in Computing Science 2015
Guillermo Salazar Lugo Luis-Felipe Rodríguez Ramona Imelda García López Adrián Macías-Estrada Moisés Rodríguez Echeverría

In this paper we present advances of a case study designed to determine which student behaviors are more informative when classifying LMS’s users according to their learning style. This case study represents the first step towards developing a mechanism for automatic detection of learning styles in LMS, which takes into account behavioral, affective and performance patterns. The contribution of...

2003
Maia Dimitrova Chris Sadler Stylianos Hatzipanagos Alan Murphy

e-Learning has opened a multitude of possibilities for teaching and learning. As the market matures there is a demand for more effective and cost-efficient learning interventions that meet the learning needs of the diverse learner population. Currently, however, very few teaching attempts have been made to match the pedagogical styles underlying e-Learning interventions to students’ diverse lea...

خلیلی, مسعود, سلطانی, نادیا, پشم فروش, بیتا,

Introduction: Learning and improving are the basis of all educational institutions activities. One of the most effective factors in students learning is their learning styles. Knowledge about learners styles can help teachers to adjust their teaching methods with students and improve the educational outcome. The present study aimed to investigate medical students learning styles in AJA universi...

2012
Mikael Nilsson Jan Östergren Uno Fors Anette Rickenlund Lennart Jorfeldt Kenneth Caidahl Gunilla Bolinder

BACKGROUND The compressed curriculum in modern knowledge-intensive medicine demands useful tools to achieve approved learning aims in a limited space of time. Web-based learning can be used in different ways to enhance learning. Little is however known regarding its optimal utilisation. Our aim was to investigate if the individual learning styles of medical students influence the choice to use ...

2010
Nabila Bousbia Jean-Marc Labat Amar Balla Issam Rebaï

It is argued that the analysis of the learner’s generated log files during interactions with a learning environment is necessary to produce interpretative views of their activities. The analysis of these log files, or traces, provides "knowledge" about the activity we call indicators. Our work is related to this research field. We are particularly interested in automatically identifying learner...

2015
Jennifer Beckmann Sven Bertel Steffi Zander

Adaptive eLearning systems are able to adjust to a user’s learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for eLearning, furthered in part by the recent rapid increase in the use of MOOCs (Massive Open Online Courses). A lack of general, individual, and situational data about student populations currently hampers the i...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید