Search results for " learning."
showing 10 items of 5179 documents
PERSONAL QUALITIES OF LEARNING FACILITATORS IN ADULT AND CONTINUING EDUCATION : OPINION OF ADULT EDUCATORS IN LATVIA AND LITHUANIA
2015
The paper highlights the key findings from a comparative study conducted in 2011- 2012 using the project “Qualified to Teach” − QF2TEACH first wave questionnaire (www.qf2teach.eu). The questionnaire was structured in nine domains: personal qualities; interpersonal behaviour and communication with learners; cooperation with the external environment; planning and management; access and progression of learners; subject-related, specialist domain; monitoring and assessment of learning processes; didacticalmethodological domain; personal development and reflection. In present paper the main results of transnational survey in Latvia and Lithuania are analysed in order to evaluate the importance o…
Dark Leadership, Charisma and Trust
2010
Trust, charisma and bad leadership are central concepts in the managerial psychology. The aim of this paper is try to put forth shortly some ideas to research these phenomena, and connections between them, empirically. Charismatic leaders have the power and the ability to manipulate and misguide people. To prevent this misbehaving, it is important to promote processes of transformative ethical leadership. Thus, commitment, value-congruence, and communality are in the play a key positions. Charismatic leaders could be weak persons with destructive narcissist power. Good management and leadership are also central factors influencing these processes. Destructive and narcissistic leaders are, o…
A generalizability measure for program synthesis with genetic programming
2021
The generalizability of programs synthesized by genetic programming (GP) to unseen test cases is one of the main challenges of GP-based program synthesis. Recent work showed that increasing the amount of training data improves the generalizability of the programs synthesized by GP. However, generating training data is usually an expensive task as the output value for every training case must be calculated manually by the user. Therefore, this work suggests an approximation of the expected generalization ability of solution candidates found by GP. To obtain candidate solutions that all solve the training cases, but are structurally different, a GP run is not stopped after the first solution …
Inference of Spatiotemporal Processes over Graphs via Kernel Kriged Kalman Filtering
2018
Inference of space-time signals evolving over graphs emerges naturally in a number of network science related applications. A frequently encountered challenge pertains to reconstructing such dynamic processes given their values over a subset of vertices and time instants. The present paper develops a graph-aware kernel-based kriged Kalman filtering approach that leverages the spatio-temporal dynamics to allow for efficient online reconstruction, while also coping with dynamically evolving network topologies. Laplacian kernels are employed to perform kriging over the graph when spatial second-order statistics are unknown, as is often the case. Numerical tests with synthetic and real data ill…
A word prediction methodology for automatic sentence completion
2015
Word prediction generally relies on n-grams occurrence statistics, which may have huge data storage requirements and does not take into account the general meaning of the text. We propose an alternative methodology, based on Latent Semantic Analysis, to address these issues. An asymmetric Word-Word frequency matrix is employed to achieve higher scalability with large training datasets than the classic Word-Document approach. We propose a function for scoring candidate terms for the missing word in a sentence. We show how this function approximates the probability of occurrence of a given candidate word. Experimental results show that the proposed approach outperforms non neural network lang…
Young Men in Digital Culture: A New Form of Informal Learning?
2012
In this chapter, the interest lies in the role of the media in young people’s and young adults’ everyday life. Of special interest is the idea of virtual environments as a learning environment, because the aspects of media, virtual realities and learning are socially important and scientifically challenging. In the analysis, three main areas are taken into consideration: First, the discussion on new learning models; second, the progress of information technology; and third, the gap between the styles of learning inside and outside the school. The study focused on young men who practically live in the online world, either playing or talking with each other via online gaming and social portal…
A family of kernel anomaly change detectors
2014
This paper introduces the nonlinear extension of the anomaly change detection algorithms in [1] based on the theory of reproducing kernels. The presented methods generalize their linear counterparts, under both the Gaussian and elliptically-contoured assumptions, and produce both improved detection accuracies and reduced false alarm rates. We study the Gaussianity of the data in Hilbert spaces with kernel dependence estimates, provide low-rank kernel versions to cope with the high computational cost of the methods, and give prescriptions about the selection of the kernel functions and their parameters. We illustrate the performance of the introduced kernel methods in both pervasive and anom…
Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin
2007
This paper deals with the validation of a Reinforcement Learning (RL) policy for dosage optimization of Erythropoietin (EPO). This policy was obtained using data from patients in a haemodialysis program during the year 2005. The goal of this policy was to maintain patients' Haemoglobin (Hb) level between 11.5 g/dl and 12.5 g/dl. An individual management was needed, as each patient usually presents a different response to the treatment. RL provides an attractive and satisfactory solution, showing that a policy based on RL would be much more successful in achieving the goal of maintaining patients within the desired target of Hb than the policy followed by the hospital so far. In this work, t…
CARACTERÍSTICAS MOTIVACIONALES DE PREESCOLARES CON BAJO RENDIMIENTO MATEMÁTICO
2016
El presente trabajo pretende profundizar en la motivación hacia el aprendizaje y el estilo atribucional de preescolares con bajo rendimiento matemático en relación a dos grupos de referencia: rendimiento medio y riesgo de Trastorno Específico de Aprendizaje con Dificultad Matemática (TEAP-DM). Participaron en el estudio 209 preescolares categorizados en función de su nivel de rendimiento aritmético mediante una prueba estandarizada. Se evaluaron los constructos de competencia-motivación, atención-persistencia y actitud hacia el aprendizaje, relacionadas con la motivación hacia el aprendizaje, y de internalidad, estabilidad y globalidad del estilo atribucional. Los resultados mostraron difer…
Exploring Affordances of an Online Environment : A Case-Study of Electronics Engineering Undergraduate Students’ Activity in Mathematics
2019
Online learning environments are being used for teaching and learning of mathematics at university level. Exploiting the potential of digital technology, these Internet-based environments administer computer-generated homework, assistance and feedback for students. This article presents a case-study of a small group of undergraduate engineering students’ learning activity in mathematics in an online environment. The study focuses on students’ interactions with the online environment to make sense of the affordances of this environment. Utilizing multiple sources of data aid in analyzing the intentional and the operational aspects of students’ interactions with several resources in this envi…