Learning management systems (LMS) are playing a key role in the education systems. Education institutions are using LMS platforms to make the communication and collaboration between teacher and student easier, which inspired this study to measure the user satisfaction in using the different platforms applying usability heuristics. The survey evaluation is used to measure user satisfaction. The main objective of this study is to measure the user experience while using interactive interfaces. The selected LMS platforms for the research are canvas and google classroom. The experiment involves creating dummy course in the selected LMS platforms, fabricating the course assignments, gathering the users, and enrolling them into the platforms. The enrolled set of users will complete the assignments and take a survey on their experience with the platforms. Time taken by each user to complete assignments and survey are recorded and collected off-time comments. The responses of the survey are collected and graphically will interpret each question. Statistical attributes like populated variance and standard deviation are calculated for measuring the user experiences, and they are tabulated for the LMS platforms. User satisfaction on the canvas and google classroom was measured using usability heuristics. From the survey results, we can conclude that the canvas web application obeys all the usability heuristics, whereas the google classroom obeys only seven of the usability heuristics.

The thesis describes a search engine of Google company and its method of web pages evaluating, which is used for sorting them on the search engine result page. In addition to the description of how search engines work in general, the thesis targets on differencies between Google and other search engines, as well as it mentions characteristics and principles designed by its founders, Larry Page and Sergey Brin, which make it unique. In the second part there are outlined some of many signals which are rated for every single web page. The most concerned signal is PageRank as the leading idea of pages evaluating, based on their link scheme which is founded on principles of citation analysis. Factors for evaluating are analysed using particular examples, and the topic is ended by the description of Google search engines changes from its beginning in 1998 until present.

Det här projektet beskriver hur Google Cast-stöd implementeras till en iOS-applikation som använder sig av ramverket SwiftUI. Idén som ligger till grund för projektet tillhandahölls av BookBeat AB eftersom de i dagsläget saknar stöd för Google Cast i sin iOS-applikation. Projektet inleds med en undersökningsfas där en demonstrationsapplikation utvecklats. Demonstrationsapplikationen består av två delar, en sändarapplikation och en mottagarapplikation. Sändarapplikationen utvecklas i programspråket Swift med ramverket SwiftUI och mottagarapplikationen utvecklas i HTML5 och JavaScript. Resultatet av projektet är en demonstrationsapplikation som har funktionalitet att spela upp radiokanaler från Sveriges Radio lokalt på den enhet den körs på, eller strömma radiokanaler till en Google Cast-enhet / This project describes how Google Cast support is implemented to an iOS-application that uses the SwiftUI framework. The idea for the project was provided by BookBeat AB as they currently lack support for Google Cast in their iOS-application. The project begins with a research phase where a demonstration application has been developed. The demonstration application consists of two parts, a sender application and a receiver application. The sender application was developed in the programming language Swift and the framework SwiftUI. The receiver application was developed with HTML5 and JavaScript. The result from the project was the demonstration application that has the functionality to stream the content of radio channels from Sveriges Radio locally on the device it runs on, or stream the media to Google Cast devices.

In this thesis, the usefulness of search engine data to nowcast the unemployment rate of Sweden is evaluated. Four different indices from Google Trends based on keywords related  to unemployment are used in the analysis and six different regARIMA models are  estimated and evaluated. The results indicate that the fit is improved for models when data  from Google Trends is included. To evaluate the nowcast ability of models, one-step-ahead  predictions are calculated. Although the prediction error is lower for the models with data  from Google Trends, Diebold-Mariano tests do not indicate that the predictions are  significantly better compared topredictions from a model without data from Google Trends.  It is therefore concluded that one cannot state that data from Google Trends improves  nowcasts of the unemployment rate of Sweden. Additionally, predictions are calculated for  longer forecast horizons. This analysis indicates that Google search data could be useful to  forecast the unemployment rate of longerforecast horizons.

In the past twenty years, our world has experienced a number of disasters, ranging from hurricanes to acts of terrorism. While both natural and anthropogenic disasters are inevitable, being able to simulate their progression and impact can provide guidance for preemptive measures to mitigate casualties and property damage. Specifically, computational fluid dynamics (CFD) simulations can be used to simulate wind forces associated with hurricanes or pressure waves associated with explosions. However, even a simple CFD simulation is time consuming and requires highly-specialized expertise. This paper aims to reduce the processing time by utilizing readily available geometry models, and a surface wrapping algorithm that allows for fast and seamless way of repairing geometry. Both of these processes are automated which also reduces the amount of training in various software packages.

Recent discoveries about pre-Columbian societies in the Amazon have revolutionized the way researchers think about the environment, and the degree of interaction that humans have with their surroundings. New evidence indicates that ancient Amazonian populations were not only much larger and more complex than previously thought, but they were also modifying their environment and creating artificial landscapes. Although information about pre-Columbian cultures can be gained from archaeological excavations and historical accounts, the advent of new technology allows archaeologists to conduct research remotely. Earthworks were constructed by pre-Hispanic peoples to create higher ground for occupation and agriculture, as an adaptation to the annual flooding of the Llanos de Mojos in the Bolivian Amazon. Over the centuries, patches of forest have grown on these earthworks due to their higher elevation and drier soils. By mapping these 'forest islands' using the satellite imagery from Google Earth and transferring the data into Quantum GIS, spatial patterns between the geographical features have been analyzed to reveal relationships between pre-Columbian earthworks, natural and artificial landscape features, and settlement patterns. This research supports theories of large and complex pre-Columbian populations in the Bolivian Amazon. Patterns between the different size, shape, and location of forest islands show a correlation between specific types of forest islands and water sources, which indicates that pre-Columbian societies were constructing earthworks based on function and distance to water.

The aim of this qualitative study is to explore two high school level Swedish as a Second Language (SVA) and two Swedish for Immigrants (SFI) teachers’ approach to their adult students’ use of machine translation in the classroom. The study also aims to explore the teachers’ approach to whether they incorporate machine translation into their teachings. The study is conducted through qualitative interviews of a total of four teachers, and the results show that the SVA-teachers did not experience that their students use machine-translation, whilst the SFI-teachers did. This is due to the linguistic level that their students are at, respectively. Furthermore, the results show that the SVA-teachers did not implement the usage of machine translation into their teachings, apart from when the students are performing digital exams and have access to a website that provides definitions (Swedish-Swedish), but also translations of single words. The SFI-teachers, on the other hand, did implement the usage through exercises that require students to translate words into their first language. All teachers did question the intention of the usage and the commonly known shortcomings of such systems.

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User input has taken many forms since the conception of computers. In the past ten years, Tablet PCs have provided a natural writing experience for users with the advent of active pen input. Unfortunately, pen based input has yet to be adopted as an input method by any modern mobile operating system. This thesis investigates the addition of active pen based input to the Android mobile operating system. The Android input framework was evaluated and modified to allow for active pen input events. Since active pens allow for their position to be detected without making contact with the screen, an on-screen pointer was implemented to provide a digital representation of the pen's position. Extensions to the Android Software Development Kit (SDK) were made to expose the additional functionality provided by active pen input to developers. Pen capable hardware was used to test the Android framework and SDK additions and show that active pen input is a viable input method for Android powered devices. Android was chosen because it is open source and therefore available to modify and test on physical hardware. Gingerbread (Android 2.3) was used as the code base for this thesis. All modifications to the Android framework that are detailed in this thesis will be made available online. The goal of this thesis is to explore methods of integrating and exposing active pen input in Android and encourage the implementation and adoption of active pen input by Google as a standard input method in Android.

English title: Another Point of View The aim of this study is to find traces of learning in the process of peer response. This is explored by investigating the experiences expressed by the students and their work of trans­forming criteria into peer response questions. An analysis is also made of which criteria they focus on in their feedback. A close-up study of the meeting between the student, the response group and the text has been made consisting of three students and their groups. The teacher has ranked the groups from her expectations of their performances. Analytical tools are the criteria themselves, metalanguage (Hansson 2001) and local and global text levels (Hoel 2001). The theoretical framework is taken from Ewa Bergh Nestlog and her thesis from 2012. Based on systematic functional linguistics, critical discourse analysis and a dialogical conception of language she presents a transaction cycle. The transaction cycle explains the connection between metaunderstanding, the production and the reception of texts, and it is used in this study for understanding peer response. The study explores how Swedish students in upper secondary school make meaning in peer response. Eighteen students aged 16–17 have digitally been receiving and providing feedback in groups of three while writing an argumentative text. All the students are following a theoretical curriculum. Sources for the material are various written texts by the students. The data analysed consists of the students’ questions to the criteria, their feedback comments on Google Drive and their self-evaluations. The analysis of the self-evaluations shows that receiving and giving feedback helps the students to use a metaperspective while writing and editing their own texts. The students describe how the teaching activities and materials focusing on structure in text have helped them to focus on structure when giving a response. This is confirmed by the analysis of the feedback which shows that the students in their comments give critical and concrete feedback on structure using an adequate language. The results indicate that the chosen focus of teaching activities influences the focus of the students’ response and writing. The results also indicate a need for more teaching activities concerning grammatical terms. The close-up study shows that the students in the groups highly valued by their teacher have an ability to adjust their feedback according to both the text and their peers. The group less valued by their teacher gives very little response and the students do not participate in the self-evaluation.