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Many studies already indicated that cooperative learning can promote learners' interest than learning process purely based on individual competition, so that learners could get more enthusiastic while they can get involved in learning activities. Nevertheless, cooperative learning usually groups students by means of random or normal distribution approach, it is not a thoughtful means for learners...
Learning ecological science content and inquiry strategies should increasingly use the new tools from science - sensors for data capture, information visualization for data-analysis, low-cost mobile computers and mobiles for field-based science. The LET's GO! project seeks to develop, implement, research, and sustainably scale a new paradigm for fostering high school student learning in teams for...
Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for field-based inquiries incorporating open Web standards. While a broad range of design approaches for developing technology-enhanced learning has been used by researchers and practitioners for the last 15 years, significant challenges for educational use...
Advances in textile-friendly electronics devices, smart materials, sophisticated interfaces, and intelligent software have combined to make intelligent garments increasingly practical. This paper introduces Co-eTex, a framework designed to support collaborative development of intelligent garments. It is based on a newly-invented construction platform for eTextiles and Wearable Computing, which was...
A new freshman engineering curriculum has been implemented at Louisiana Tech University to boost hands-on learning, student confidence and innovation. The new curriculum, called living with the Lab, increases experiential learning by moving the ownership and maintenance of laboratory equipment from the university to the students. Each student purchases a robotics kit with a programmable controller,...
Making students aware of their learning styles and presenting them with learning material that incorporates their individual learning styles has potential to make learning easier for students and increase their learning progress. This paper proposes an automatic approach for identifying learning styles with respect to the Felder-Silverman learning style model by inferring their learning styles from...
When using learning object repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to have sound models to estimate the relevant features. In this paper we present a student model to account for learning styles, based on the model defined by Felder and Sylverman and implemented using dynamic Bayesian networks...
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