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Visar resultat 1 - 5 av 61 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Praktiska digitala medium i historieundervisningen : En översikt av forskning om hur digitalt game-based learning kan användas för att förbättra elevernas kunskap om historieämnet

    Uppsats för yrkesexamina på grundnivå, Malmö universitet/Fakulteten för lärande och samhälle (LS)

    Författare :Dennis Gullstrand; Erik Lund; [2024]
    Nyckelord :history; history didactics; history education; didactics; practical; game based learning; game; games; digital; computer; Assassin s Creed; Making History; Crusader Kings; Hearts of Iron; high school; historia; historiedidaktik; historieundervisning; undervisning; didaktik; praktiskt; game based learning; spel; digital; digitala; dator; Assassin s Creed; Making History; Crusader Kings; Hearts of Iron; gymnasie; gymnasiet; högstadium; högstadiet; grundskola;

    Sammanfattning : The traditional history educational methods mainly consists of and are focused on memory, reading, repetition and writing skills, however this paper aims to give an overview of research regarding “Game-based learning”, it’s uses in education of history, and if it can be used as a way to complement the traditional education and give history teachers the tools to make their teaching more diverse. Useful materials were found in the databases: EBSCO, IEEE Xplore och Science Direct. LÄS MER

  3. 2. Incidental Vocabulary Learning in EFL Through Reading, Listening, and Watching

    Uppsats för yrkesexamina på grundnivå,

    Författare :Julia Ekman; Nawar Saleh; [2024]
    Nyckelord :Incidental vocabulary learning; Vocabulary retention; Digital tools; Language acquisition; Multimedia learning; Vocabulary retention; English as a foreign language EFL ; Second language L2 ;

    Sammanfattning : Incidental vocabulary learning is a form of acquiring new words without having a specific intention in the acquisition, and it can occur in or out of the educational frame (Hatami, 2017). In the digital age, incidental vocabulary acquisition is increased as learners encounter and assimilate new words through different online platforms and technological tools. LÄS MER

  4. 3. Constructing Semiotic System : A Study of Traditional Chinese Woodblock New Year Pictures

    Master-uppsats, Uppsala universitet/Institutionen för ABM

    Författare :Jinyue Qian; [2023]
    Nyckelord :Chinese Woodblock New Year pictures; signs; signifier; signified; connotation; myth; semiotic system;

    Sammanfattning : Traditional Chinese woodblock New Year pictures face the danger of being marginalized and disappearing in the context of industrialization and technological development. It is, therefore, imperative to conduct research on traditional New Year pictures to address this challenge. LÄS MER

  5. 4. Embracing the Digital Shift : An Empirical Analysis of Attitudes towards E-books among Pupils in Swedish Upper Secondary School

    Master-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

    Författare :Sebastian Stålnacke; [2023]
    Nyckelord :Digital books; E-books; E‐book lending; School libraries; Upper secondary schools; Young adults; Reading preferences;

    Sammanfattning : As digital reading has become ubiquitous in society it is reasonable to expect it in schools. Digital reading has not been without its controversies though. Using a sociocultural perspective this thesis examines attitudes, perceptions, and access to digital books among Swedish upper secondary school pupils, focusing on e-books. LÄS MER

  7. 5. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Malvin Lundqvist; [2023]
    Nyckelord :Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

    Sammanfattning : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. LÄS MER