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Detecting entanglement in high-spin quantum systems via a stacking ensemble of machine learning models. [PDF]
Sci RepAbd-Rabbou MY +4 more
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Correction: Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study. [PDF]
JMIR AIHandayani VW +5 more
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Cognitive and Non-Cognitive Science Gains from SEL Intervention in Arabic-Speaking Students: Comparing Typical and Struggling Readers. [PDF]
J IntellBasheer A, Asadi IA.
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A Context-Aware Personalized M-learning Application Based on M-learning Preferences
2010 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education, 2010The purpose of this paper is to present the data analysis obtained from our interview study, which showed that participants had different individual mobile learning (hereafter, abbreviated as m-learning) preferences. The understanding of these preferences for different m-learning requirements can be used as a foundation for building successful ...
Jane Yin-Kim Yau, Mike Joy
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Constructive m-learning environments
Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005In this paper we deal with constructive mobile learning, i.e., a positive approach to combining learning with moving, field education with ICT, personalized and learner-enhanced learning material. Technically it is based on location dependency of educational content and method and desegregates moving and information processing for a learner community ...
Thanasis Hadzilacos, Nectaria Tryfona
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2011
Learning aims at interconnecting social classes, reducing poverty, and accepting diversity of all forms. This chapter presents technology enhanced learning for people with disabilities. At first, the author scans the phases of learning progression and proposes a learning model to represent their interrelationships. Then he explains the various types of
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Learning aims at interconnecting social classes, reducing poverty, and accepting diversity of all forms. This chapter presents technology enhanced learning for people with disabilities. At first, the author scans the phases of learning progression and proposes a learning model to represent their interrelationships. Then he explains the various types of
openaire +2 more sources