|
|
Enhancing EFL Students' Vocabulary Retention through the Application of Brain- Compatible Teaching Strategies
Hartinger, Daria ; Mikuláš, Martin (advisor) ; Kacafírková, Petra (referee)
This thesis is aimed at researching effective teaching strategies that enhance vocabulary learning among English language students aged 13 to 16 years old, with a particular focus on vocabulary related to electricians' and mechanics' tools. Teaching this kind of vocabulary is a challenge that demands innovative teaching strategies that take into consideration the specific functioning of the adolescent brain. The study is based on a review of modern learning theories and teaching methods, as well as on the implementation of practical lessons using different vocabulary strategies. The theoretical part of the study explores the concept of Brain-based teaching and reviews previous studies that have been conducted successfully in this area. The work showed that strategies such as Frayer Model, Semantic Mapping and Chunking have a considerable positive effect on the process of vocabulary acquisition. These strategies were then employed successfully in a teaching process carried out with four different groups of students. The empirical part shows various statistics that are based on the results of a vocabulary assessment pre-test and two types of post-test, immediate and delayed. These data illustrate the effectiveness of the treatment used. Although statistically insignificant in some cases, the results...
|
|
|
Game Development for Assessment of Human Memory, Attention and Reflexes
Petrovskyi, Denys ; Hussain, Yasir (referee) ; Malik, Aamir Saeed (advisor)
V této práci je podrobně popsán vývoj aplikace pro Android, která je určena k současnému hodnocení paměti, pozornosti a reflexů. Hlavním cílem bylo vytvořit interaktivní platformu, která uživatele nejen zapojí do kognitivních úkolů, ale také jim umožní sledovat jejich výkon v čase prostřednictvím statistické analýzy a grafů průběhu. Aplikace s využitím frameworku Flutter nabízí uživatelsky přívětivý a přehledný design a je integrována se službou Firebase pro efektivní správu uživatelských dat a ověřování. Projekt zahrnoval vývoj řady kognitivních modulů integrovaných do jediné hry, která se dynamicky přizpůsobuje výsledkům uživatele, čímž zajišťuje přesné hodnocení a zapojení uživatele. Uživatelské rozhraní bylo navrženo tak, aby bylo intuitivní a zajišťovalo snadné používání a přístupnost. Výsledky uživatelských testů ukazují, že aplikace úspěšně měří kognitivní schopnosti a poskytuje uživatelům cennou zpětnou vazbu, čímž podporuje neustálé zlepšování kognitivních schopností. Tato práce demonstruje potenciál herního hodnocení kognitivních schopností v mobilních aplikacích a přispívá k rozvoji oborů vzdělávacích technologií a kognitivní psychologie.
|
|
|
Cognitive Game Battery: Assessing and Identifying Deficits in Memory, Attention, Problem-Solving, and Decision-Making Skills
Češka, Ondřej ; Malik, Aamir Saeed (referee) ; Hussain, Yasir (advisor)
Cílem této práce je neinvazivní posouzení vybraných kognitivních domén (pozornost, paměť, rozhodování) pomocí nové mobilní aplikace vyvinuté za tímto účelem. Posuzování kognitivních nedostatků je důležité pro prevenci neurokognitivních poruch. Byly analyzovány existující posuzovací úlohy a na jejich základě byla navržena a úspěšně implementována kognitivní herní baterii sestávající ze 3 mobilních her. Aplikace je určena pro platformu Android a byla vyvinuta v Unity engine. Byl vytvořen systém pro sběr a uchovávání herních dat a jejich následné zhodnocení za pomoci cloudové dostupnosti. Jeho spolehlivost byla posouzena na základě vlastního sběru dat a poznatků existujících studií. Vyvinutá aplikace přináší jiný pohled na posuzování kognitivních nedostatků, porovnává uživatelem dosažené skóre s ostatními hráči a poskytuje mu detailní zpětnou vazbu.
|
|
|
The effectiveness of mind-mapping learning strategy to extend vocabulary knowledge among elementary students
Šnevajsová, Helena ; Mikuláš, Martin (advisor) ; Kacafírková, Petra (referee)
Knowledge of vocabulary is an essential part of linguistic competence. Many students learn English vocabulary by translation and rote memorisation of vocabulary lists, which can result in the inability to use the words in well-formed sentences and appropriate contexts. Some students may find rote memorisation monotonous. This study examines the effectiveness of using the mind-map learning strategy to extend English vocabulary. Thirty-one elementary school students (15 men and 16 women) from two different elementary schools completed a short test before vocabulary instruction to obtain baseline data. Vocabulary instruction with the use of mind maps learning strategy followed. The recall was measured at the end of the lesson and one to two weeks after vocabulary instruction. A subjective assessment of the mind map learning strategy to learn vocabulary was taken. The results show that the knowledge of vocabulary items improved compared with the baseline. Moreover, students retained similar knowledge even after one to two weeks. New information was moved to the long-term memory of the students. Students were able to recall vocabulary from a medium- term perspective. Subjective assessment of the learning strategy showed that students enjoy learning vocabulary with mind maps more than writing vocabulary...
|
|
| |
|
|
Control Unit for Autonomous Vacuum Cleaner
Matějů, Jan ; Kopečný, Lukáš (referee) ; Žalud, Luděk (advisor)
This paper is in introduction focused on review of robotic vacuum cleaning and evaluation of available products qualities. However the main focus of this paper is system design of all subsystems, control systems and PCD design of robot electronics. In this paper is also described a method for evaluating approximate distance of robot from the obstacle. There are also described problems of system design of IR proximity sensors. The last part of this work is development of control software for robot and its testing.
|
|
|
Automatization of Analysis of Performance and Power Consumption
Rudolf, Tomáš ; Jaroš, Jiří (referee) ; Nikl, Vojtěch (advisor)
This thesis deals with increasing efficiency of supercomputers. Higher efficiency can be achieved by reducing frequency of processor if the algorithm does not slow down significantly. This thesis presents set of scripts designed to monitor consumption of processor along with scripts that visualize these measured values. It also allows easy control of processor frequency. The created solution gives user a capability to measure given algorithm efficiency and optimize computing power of specific computer exactly for the algorithm. Due to this work the user will be informed about whether it is advantageous to run his algorithm on one or other frequency of the processor.
|
|
|
Datalogger with parallel data logging
Havlena, Marek ; Minář, Petr (referee) ; Zuth, Daniel (advisor)
This Bachelor's thesis is dedicated to the design and implementation of the Datalogger module, which stores data in two different memory storages. First memory storage is solved by using an SD card and the second is the internal EEPROM memory of the microcontroller. It also deals with data synchronization between these memory storages. Communication between the cards is through the SPI bus and communication with the module is provided by a serial interface designed by USB transmitter (UART).
|
|
|
Enhanced mathematical library for C++
Temel, Aleš ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
I create a library for storing matrices and working with matrices in this bachelor’s thesis. In this case, the issues concern mainly so-called sparse matrices. C++ do not provide among the standard libraries tools for easy working with sparse matrices. The most frequent alternative is the application of two-dimensional array (2D array). 2D array may be realized as a double pointer representing the rows and the columns of the matrix. The basic problem is that behavior of 2D array is identical both to the sparse, and to the full non-zero matrix. 2D array ignores the possibility to store matrices more favorable. The library for storing matrices designed by me takes into account the storing of sparse matrices by several different ways. It offers the sparse format CSR (Compressed sparse rows), as well as alternatives to save the specially structured matrices. In the course of creating library the main emphasis first of all I put on the amount of memory that is necessary for storing matrices. Because it is a mathematical library, it contains different functions suitable for working with matrices, such as determinant calculation, inverse matrix calculation and so. When calculate these functions it is necessary to take into account used memory size as well. Intermediate results are stored also in sparse format, and removed as soon as possible after their use. I created also the second library that deals with the floating point numbers stored with greater precision than standard data types like float and double. The size of occupied memory increases according to precision of floating point number.
|
|
| |
guest ::
