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Teaching of Foreign Languages on Mobile Devices
Janča, David ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with the development of foreign language teaching applications for mobile devices. The applications teach phrases and words using effective adaptive algorithms. Educational algorithms adapt to the user by using information from the course of learning in order to maximize teaching effectiveness. The thesis presents educational algorithms and programming in XCode for iOS. The creation of an educational application is composed of several disciplines and so the thesis deals with topics such as the theory of teaching, choice of target mobile platforms, an overview of popular educational applications and user testing.
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Professional survey forecasts and expectations in DSGE models
Rychalovska, Y. ; Slobodyan, Sergey ; Wouters, R.
In this paper, we demonstrate the usefulness of survey data for macroeconomic analysis and propose a strategy to integrate and efficiently utilize information from surveys in the DSGE setup. We extend the set of observable variables to include the data on consumption, investment, output, and inflation expectations, as measured by the Survey of Professional Forecasters (SPF). By doing so, we aim to discipline the dynamics of model-based expectations and evaluate alternative belief models. Our approach to exploit the timely information from surveys is based on re-specification of structural shocks into persistent and transitory components. Due to the SPF, we are able to improve identification of fundamental shocks and predictive power of the model by separating the sources of low and high frequency volatility. Furthermore, we show that models with an imperfectly-rational expectation formation mechanism based on Adaptive Learning (AL) can reduce important limitations implied by the Rational Expectation (RE) hypothesis. More specifically, our models based on belief updating can better capture macroeconomic trend shifts and, as a result, achieve superior long-term predictions. In addition, the AL mechanism can produce realistic time variation in the transmission of shocks and perceived macro-economic volatility, which allows the model to better explain the investment dynamics. Finally, AL models, which relax the RE constraint of internal consistency between the agents’ and model forecasts, can reproduce the main features of agents’ predictions in line with SPF evidence and, at the same time, can generate improved model forecasts, thus diminishing possible inefficiencies present in surveys.
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The use of Mapwork.education app in geography lessons
Králíčková, Anna-Marie ; Hanus, Martin (advisor) ; Měkota, Tomáš (referee)
Map skills need to be developed in geography lessons. At the same time, modern technologies should also be included in teaching. As a result, the online application Mapwork.education was developed to address these needs. As with other didactic tools, it is vital to find out how teachers use this educational tool. This bachelor thesis has been prepared with this general intention in mind. The main aim of the research was to find out how the Mapwork.education application is used in school practice, i.e. in planning, implementation and evaluation of teaching. A questionnaire survey was used to collect data. Respondents were registered app users with a teacher account linked to at least one class with active pupils. That is, pupils who had already completed at least one task in the application. A total of 90 respondents were selected and contacted, of which 23 completed the questionnaire. The research conducted showed that the app is usually used directly in geography classes for individual work of pupils. However, the frequency of its use is limited by the technical equipment of schools. In the process of map skills development, the app serves either as a supplement to other materials or as the main tool for their development. Pupils' level and development of map skills is recorded in the results...
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Teaching of Foreign Languages on Mobile Devices
Janča, David ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with the development of foreign language teaching applications for mobile devices. The applications teach phrases and words using effective adaptive algorithms. Educational algorithms adapt to the user by using information from the course of learning in order to maximize teaching effectiveness. The thesis presents educational algorithms and programming in XCode for iOS. The creation of an educational application is composed of several disciplines and so the thesis deals with topics such as the theory of teaching, choice of target mobile platforms, an overview of popular educational applications and user testing.
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New Keynesian model dynamics under heterogeneous expectations and adaptive learning
Fukač, Martin
This study analyzes the economic dynamics in a basic New Keynesian model adjusted for imperfect, heterogeneous knowledge and adaptive learning. The policy, represented by a forward-looking Taylor rule, is driven by the central bank’s own internal forecasts, whereas the core economic dynamics are driven by private agents’ expectations. The paper studies the implications of disagreement between those two.
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