Sökning: "Learning framework"

Visar resultat 1 - 5 av 1949 uppsatser innehållade orden Learning framework.

  1. 1. DIDAKTISKA PERSPEKTIV PÅ EN BILDUNG-ORIENTERAD BIOLOGIUNDERVISNING -en analys utifrån tysk bildningstradition med exempel från biologilärares praktik på folkhögskola

    Master-uppsats, Göteborgs universitet/Institutionen för didaktik och pedagogisk profession

    Författare :Christina Degerstedt; [2024-03-26]
    Nyckelord :Biology teaching; didactic strategies; companion meanings; Bildung; dialogue; citizenship; democracy;

    Sammanfattning : Aim: The aim of the study is to show how a Bildung-oriented biology teaching could be designed, along with providing classroom examples of such teaching. In this study, the term Bildung, is defined based on the German Didaktik tradition as competences for self-determination, constructive participation in society, and solidarity. LÄS MER

  3. 2. Unpacking the Washback Effect of University Entrance Exams : A Qualitative Study of Uzbekistan’s Students’ Exam Preparation Experiences

    Master-uppsats, Stockholms universitet/Institutionen för pedagogik och didaktik

    Författare :Zarnigor Hotamova; [2024]
    Nyckelord :Washback; High-stakes University Entrance Exams; Competence-based Curriculum; 21st Century Skills;

    Sammanfattning : The evolving nature of education emphasizes the importance of fostering 21st-century skills. To align with the requirements of the contemporary era, Uzbekistan introduced its new competency based National Curriculum, highlighting the development of 21st century skills. LÄS MER

  4. 3. Från tystnad till inkludering : En kvalitativ intervjustudie som undersöker synliggörandet av HBTQI-perspektivet i religionsundervisningen

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)

    Författare :Olivia Khoshaba; [2024]
    Nyckelord :HBTQI; religionsundervisning; religion; religionslärare; sexualitet; heteronormativitet; queerteori; normkritiskt pedagogik; performativitet;

    Sammanfattning : This study aims to investigate how LGBTQI individuals have experienced the visibility of LGBTQI perspectives in religious education and how religious educators can integrate LGBTQI perspectives into teaching to ensure an inclusive learning environment for all students. To address the research questions, semi-structured interviews were chosen as the data collection method, followed by thematic analysis of the collected material. LÄS MER

  5. 4. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen

    Författare :Max Svensson; [2024]
    Nyckelord :Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Sammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER

  7. 5. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER