Measuring the effects on learning performance and engagement with a gamified social platform in an MSc program
Sign Up to like & getrecommendations! Published in 2020 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.22186
Abstract: New generations of students are highly involved with technology. Therefore, while coming to traditional classrooms, it is required to call for different forms of teaching that are more motivating and engaging for them. One approach… read more here.
Keywords: platform; performance engagement; learning performance; gamified social ... See more keywords
Improving MOOC learning performance in China: An analysis of factors from the TAM and TPB
Sign Up to like & getrecommendations! Published in 2020 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.22310
Abstract: Recent years have seen a rapid development in the integration of information technology into China's higher education provision. Massive open online courses (MOOCs) have played a vital role in spreading and sharing educational content in… read more here.
Keywords: performance china; mooc learning; learning performance; improving mooc ... See more keywords
Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization
Sign Up to like & getrecommendations! Published in 2022 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.22572
Abstract: Reliable prediction of individual learning performance can facilitate timely support to students and improve the learning experience. In this study, two well‐known machine‐learning techniques, that is, support vector machine (SVM) and artificial neural network (ANN),… read more here.
Keywords: machine; machine learning; learning performance; hybridized teaching ... See more keywords
Rough set methods in feature selection via submodular function
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-2024-7
Abstract: Attribute reduction is an important problem in data mining and machine learning in that it can highlight favorable features and decrease the risk of over-fitting to improve the learning performance. With this regard, rough sets… read more here.
Keywords: reduction; learning performance; function; reduct ... See more keywords
Predictors of individual variation in reversal learning performance in three-spined sticklebacks
Sign Up to like & getrecommendations! Published in 2020 at "Animal Cognition"
DOI: 10.1007/s10071-020-01399-8
Abstract: Behavioral flexibility is a type of phenotypic plasticity that can influence how animals cope with environmental change and is often measured with a reversal learning paradigm. The goal of this study was to understand why… read more here.
Keywords: variation; learning performance; reversal learning; flexibility ... See more keywords
Holarchic structures for decentralized deep learning: a performance analysis
Sign Up to like & getrecommendations! Published in 2019 at "Cluster Computing"
DOI: 10.1007/s10586-019-02906-4
Abstract: Structure plays a key role in learning performance. In centralized computational systems, hyperparameter optimization and regularization techniques such as dropout are computational means to enhance learning performance by adjusting the deep hierarchical structure. However, in… read more here.
Keywords: network; learning performance; decentralized deep; deep learning ... See more keywords
Understanding motivational climates in physical education classes: How students perceive learning and performance-oriented climates by teachers and peers
Sign Up to like & getrecommendations! Published in 2020 at "Current Psychology"
DOI: 10.1007/s12144-020-01047-x
Abstract: This study aimed to translate and validate the Learning and Performance Oriented in Physical Education Climate Questionnaire (LAPOPECQ) in a sample of Portuguese students. Additionally, this study examined if the measurement would be equivalent across… read more here.
Keywords: physical education; learning performance; performance oriented; motivational climates ... See more keywords
Sleep deprivation impairs cognitive performance in zebrafish: A matter of fact?
Sign Up to like & getrecommendations! Published in 2018 at "Behavioural Processes"
DOI: 10.1016/j.beproc.2018.04.004
Abstract: The zebrafish (Danio rerio) has become a valuable model organism for behavioral studies examining learning and memory. Its diurnal circadian rhythm and characterized sleep-like state make it comparable to mammals, features that have contributed to… read more here.
Keywords: learning performance; sleep deprivation; cognitive performance; performance ... See more keywords
A psychophysiological effect of indoor thermal condition on college students’ learning performance through EEG measurement
Sign Up to like & getrecommendations! Published in 2020 at "Building and Environment"
DOI: 10.1016/j.buildenv.2020.107223
Abstract: Abstract This study analyzed the psychophysiological effect of the indoor thermal condition on the college students' learning performance. Towards this end, an experiment was conducted on 20 subjects in a climate chamber. Five thermal conditions… read more here.
Keywords: learning performance; thermal condition; indoor thermal; performance ... See more keywords
A common fungicide, Pristine®, impairs olfactory associative learning performance in honey bees (Apis mellifera).
Sign Up to like & getrecommendations! Published in 2021 at "Environmental pollution"
DOI: 10.1016/j.envpol.2021.117720
Abstract: Although fungicides were previously considered to be safe for important agricultural pollinators such as honey bees, recent evidence has shown that they can cause a number of behavioral and physiological sublethal effects. Here, we focus… read more here.
Keywords: learning performance; associative learning; pristine; performance ... See more keywords
Trading off learning and performance: Exploration and exploitation at work
Sign Up to like & getrecommendations! Published in 2019 at "Human Resource Management Review"
DOI: 10.1016/j.hrmr.2018.06.001
Abstract: Abstract Employees are increasingly given control over how they learn, and their choices for training are diverse and varied, yet employees must balance competing demands. On one hand, they are expected to be increasingly efficient… read more here.
Keywords: exploration; learning performance; work; exploration exploitation ... See more keywords