Results 11 to 20 of about 147,166 (261)

Learning Privacy Preferences [PDF]

open access: yes2011 Sixth International Conference on Availability, Reliability and Security, 2011
This paper suggests a machine learning approach to preference generation in the context of privacy agents. With this solution, users are relieved from the complex task of specifying their preferences beforehand, disconnected from actual situations. Instead, historical privacy decisions are used as a basis for providing privacy recommendations to users ...
Tøndel, Inger Anne   +2 more
openaire   +3 more sources

Learning Innate Face Preferences [PDF]

open access: yesNeural Computation, 2003
New born humans preferentially orient to facelike patterns at birth, but months of experience with faces are required for full face processing abilities to develop. Several models have been proposed for how the interaction of genetic and evironmental influences can explain these data.
James A. Bednar, Risto Miikkulainen
openaire   +2 more sources

An Empirical Investigation of the Relationships Among Cognitive Abilities, Cognitive Style, and Learning Preferences in Students Enrolled in Specialized Degree Courses at a Canadian College

open access: yesCanadian Journal for the Scholarship of Teaching and Learning, 2011
Although specific cognitive abilities, cognitive style, and learning preferences are assumed to be inter-related, the empirical evidence supporting this assumption is mixed.
Shaila Sardar, Jean Choi
doaj   +1 more source

Preferences, Homophily, and Social Learning [PDF]

open access: yesSSRN Electronic Journal, 2013
We study a sequential model of Bayesian social learning in networks in which agents have heterogeneous preferences, and neighbors tend to have similar preferences—a phenomenon known as homophily. We find that the density of network connections determines the impact of preference diversity and homophily on learning. When connections are sparse, diverse
Ilan Lobel, Evan Sadler
openaire   +4 more sources

Introducing Adaptivity Features to a Regular Learning Management System to Support Creation of Advanced eLessons

open access: yesInformatics in Education, 2010
In order to improve the learning process for students with different pre-knowledge, personal characteristics and preferred learning styles, a certain degree of adaptability must be introduced to online courses.
Zivana KOMLENOV   +2 more
doaj   +1 more source

OPPORTUNITY AND PREFERENCE LEARNING [PDF]

open access: yesEconomics and Philosophy, 2015
Abstract:Robert Sugden has suggested a normative standard of freedom as ‘opportunity’ that is supposed to help realign normative economics – with its traditional rational choice orientation – with behavioural economics. While allowing preferences to be incoherent, he wants to maintain the anti-paternalist stance of orthodox welfare economics.
openaire   +2 more sources

Learning preferences of medical students - a study conducted at the University of Peradeniya, Sri Lanka

open access: yesSri Lanka Journal of Medicine, 2016
Background: Each student has a unique way of learning. These preferred learning approaches are believed to have an influence on student learning and academic performance. Identifying the learning preference of students is important as it would inform the
D. Edussuriya   +3 more
doaj   +1 more source

An experiment for a quality education using business materials tailored to learning profiles

open access: yesJournal of Management and Business Education, 2023
With innovation serving as the primary driver, higher education institutions are essential to fulfilling the Sustainable Development Goal of quality education.
Elisa Baraibar-Diez   +4 more
doaj   +1 more source

The Preference Learning Toolbox

open access: yesCoRR, 2015
Preference learning (PL) is a core area of machine learning that handles datasets with ordinal relations. As the number of generated data of ordinal nature is increasing, the importance and role of the PL field becomes central within machine learning research and practice.
Vincent-Emmanuel Farrugia   +2 more
openaire   +2 more sources

Factors Influencing Students’ Attitudes and Readiness towards Active Online Learning in Physics

open access: yesEducation Sciences, 2022
Many factors can influence students’ attitudes and their readiness to learn, especially with respect to learning physics online. Traditional online learning, where the teacher is the sole speaker, is inappropriate for learning physics because there must ...
Lorna Uden   +2 more
doaj   +1 more source

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