Search results for "Learning theory"
showing 10 items of 216 documents
“Why do I have to learn this?” A case study on students’ experiences of the relevance of mathematical modelling activities
2017
In this paper we explore how students can experience the relevance of mathematical modelling activities. In the literature we found that relevance is a connection among several issues (relevance of what? to whom? according to whom? and to what end?). We framed this concept in terms of Cultural-Historical Activity Theory (CHAT), a theory for analysing how individuals engage in activities within social environments. We designed modelling activities within a mathematics course for engineering students: there were ample mathematical modelling tasks, a guest lecture by an employee from an engine company who used mathematical modelling in his job, and a group work modelling assessment with a pres…
NUMERICAL ALGORITHMS
2013
For many systems of differential equations modeling problems in science and engineering, there are natural splittings of the right hand side into two parts, one non-stiff or mildly stiff, and the other one stiff. For such systems implicit-explicit (IMEX) integration combines an explicit scheme for the non-stiff part with an implicit scheme for the stiff part. In a recent series of papers two of the authors (Sandu and Zhang) have developed IMEX GLMs, a family of implicit-explicit schemes based on general linear methods. It has been shown that, due to their high stage order, IMEX GLMs require no additional coupling order conditions, and are not marred by order reduction. This work develops a …
Individual differences in adaptive choice strategies
2003
Abstract Individual differences in compensatory and non-compensatory choice processes remain an unresolved issue for decision process researchers. This study investigates the stability and nature of individual differences in choice processes when individuals adapt to changes in the structure of the choice environment, namely the correlation among the choice attributes. By means of process tracing techniques, between-subjects differences in choice processing (option-based or attribute based) were found to be stable across different tasks. Individuals with higher openness to experience and ability to solve reasoning tasks were found to be more adaptive, that is to switch more promptly their c…
Online Hyperparameter Search Interleaved with Proximal Parameter Updates
2021
There is a clear need for efficient hyperparameter optimization (HO) algorithms for statistical learning, since commonly applied search methods (such as grid search with N-fold cross-validation) are inefficient and/or approximate. Previously existing gradient-based HO algorithms that rely on the smoothness of the cost function cannot be applied in problems such as Lasso regression. In this contribution, we develop a HO method that relies on the structure of proximal gradient methods and does not require a smooth cost function. Such a method is applied to Leave-one-out (LOO)-validated Lasso and Group Lasso, and an online variant is proposed. Numerical experiments corroborate the convergence …
Bank Stability: The Case of Nordic and Non-Nordic Banks in Latvia
2018
The banking industry is facing huge challenges due to technology-enabled innovation, to changes in customer preferences, to bank de-risking and to new regulatory initiatives. To go through all these changes, banks need to be stable. The present study contributes to the empirical literature by identifying the determinants of stability of banks in the Latvian Banking Industry. This study covers both bank-specific (endogenous) factors and macroeconomic (exogenous) factors that impact the stability of banks. The data set used in this study is the annual financial statements of Latvian banks operated in the period 2003-2016. Using multivariate regression analysis techniques, we found evidence th…
Stability Analysis and Stabilization of T-S Fuzzy Delta Operator Systems with Time-Varying Delay via an Input-Output Approach
2013
Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/913234 Open Access The stability analysis and stabilization of Takagi-Sugeno (T-S) fuzzy delta operator systems with time-varying delay are investigated via an input-output approach. A model transformation method is employed to approximate the time-varying delay. The original system is transformed into a feedback interconnection form which has a forward subsystem with constant delays and a feedback one with uncertainties. By applying the scaled small gain (SSG) theorem to deal with this new system, and based on a Lyapunov Krasovskii funct…
Learning, regularization and ill-posed inverse problems
2005
Many works have shown that strong connections relate learning from examples to regularization techniques for ill-posed inverse problems. Nevertheless by now there was no formal evidence neither that learning from examples could be seen as an inverse problem nor that theoretical results in learning theory could be independently derived using tools from regularization theory. In this paper we provide a positive answer to both questions. Indeed, considering the square loss, we translate the learning problem in the language of regularization theory and show that consistency results and optimal regularization parameter choice can be derived by the discretization of the corresponding inverse prob…
An analysis of co‐operative agreements from a knowledge‐based perspective: an integrative conceptual framework
2002
The last decade has been witness to an unprecedented growth in the number of alliances between companies. This growing importance of interfirm co‐operation, together with its inherent complexity, have generated a progressive interest in the study of this phenomenon, which has materialised in a vast but fragmented literature concerning it. As a response to the demands which these conditions pose, we have endeavoured to develop a conceptual framework which, from a knowledge‐based and learning perspective, integrates an extensive series of contributions and concepts for the study of the processes of co‐operation between companies. As distinctive features, our conceptual framework proposal sets…
A Matrixulation Method for Mapping an E-learning Platform Designer’s Conception of Learning: A Pilot Study
2004
This paper presents a method for analyzing human conceptions related to e-learning, based on positioning data on what is called here a learning matrix. The set of dimensions comprising the matrix distinguish between emphasis on individuality and sociality in learning, between viewing learning as knowledge adoption and as knowledge construction, and between viewing learning as subjective and as objective to time. The learning matrix is used to visualize and compare conceptions of learning extracted from literature and from individual perceptions of learning, revealed through interviews. This study supports the development of e-learning environments and casts light on different conceptions of…
Organizational Learning to Leverage Benefits Realization Management; Evidence from a Municipal eHealth Effort
2017
Part 3: Organizational Aspects; International audience; While work with benefits realization requires organizational learning to be effective, emphasis on organizational learning is hard to find in benefits realization studies. To remedy this research gap, we study how organizational learning theory can contribute to improve benefits realization processes. A qualitative approach was used to gain in depth understanding of benefits realization in an ICT healthcare services project. We found that individual learning is present, but organizational learning has not been given explicit attention neither in the project nor in the literature of benefits realization management. We argue that the ind…