Sökning: "user learning"

Visar resultat 1 - 5 av 269 avhandlingar innehållade orden user learning.

  1. 1. Adding Challenge to a Teachable Agent in a Virtual Learning Environment

    Författare :Camilla Kirkegaard; Agneta Gulz; Annika Silvervarg; Björn Johansson; Lena Pareto; Linköpings universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; educational technology; educational software; teachable agents; learning;

    Sammanfattning : The topic of this thesis concerns what happens when challenging behavior is added to a teachable agent in a virtual learning environment. The aim of adding challenging behavior to teachable agents is to encourage students to engage in learning behaviors, improve their motivation and engagement, which may result in a deeper level of comprehension and an improved learning experience. LÄS MER

  3. 2. Virtual Learning Environments in Higher Education : A Study of User Acceptance

    Författare :Christina Keller; Sven Carlsson; Birger Rapp; Fredrik Nilsson; Lars Svensson; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; e-learning; web-based learning; virtual learning environment; technology acceptance; organisational learning; diffusion of innovations; Informatics; Informatik; Economic Information Systems; Ekonomiska informationssystem;

    Sammanfattning : The aim of the thesis was to create knowledge about factors influencing acceptance of virtual learning environments among academic staff and students in blended learning environments. The aim was operationalised by four research questions. LÄS MER

  4. 3. Learning Computing at University: Participation and Identity : A Longitudinal Study

    Författare :Anne-Kathrin Peters; Arnold Pears; Anders Berglund; Anna Eckerdal; Lars Ulriksen; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; computing education research; engineering education research; computer science; higher education; engagement; diversity; equity; gender; competencies; culture; longitudinal; identity; participation; power; agency; uniformity; communities of practice; social theory of learning; phenomenography; student reflections; Datavetenskap med inriktning mot datavetenskapens didaktik; Computer Science with specialization in Computer Science Education Research;

    Sammanfattning : Computing education has struggled with student engagement and diversity in the student population for a long time. Research in science, technology, engineering, and mathematics (STEM) education suggests that taking a social, long-term perspective on learning is a fruitful approach to resolving some of these persistent challenges. LÄS MER

  5. 4. Learning text talk online : Collaborative learning in asynchronous text based discussion forums

    Författare :Monica Liljeström; Agneta Hult; Anders. D. Olofsson; Lars Svensson; Umeå universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Online learning; CSCL; online assessment; collaborative learning; peer assessment; peer review; folkbildning; Swedish liberal adult education online; higher education online; socio-cultural theory; asynchronous discussion forums; ADF; evaluation;

    Sammanfattning : The desire to translate constructivist and sociocultural approaches to learning in specific learning activities is evident in most forms of training at current, not least in online education. Teachers worldwide are struggling with questions of how to create conditions in this fairly new realm of education for learners to contribute to the development of a good quality in their own and others' learning. LÄS MER

  7. 5. Visual Analytics for Explainable and Trustworthy Machine Learning

    Författare :Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

    Sammanfattning : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. LÄS MER