Sökning: "learning requirements"

Visar resultat 6 - 10 av 664 uppsatser innehållade orden learning requirements.

  1. 6. THE DESIGN OF EVALUATION FEATURE TO IMPROVE DEVELOPMENT OF LEARNING MANAGEMENT SYSTEM

    Master-uppsats, Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärande

    Författare :Kristina Cordova; [2023-10-23]
    Nyckelord :LMS; Evaluation; Feedback; Learning System Design;

    Sammanfattning : Purpose: The main purpose of the project is to improve the evaluation processes in a post implemented learning management system. Recurrent and agile evaluation can improve user experience and establish good prerequisites for the users’ learning. However, the user’s feedback is essential in the improvement of the system. LÄS MER

  3. 7. Challenges in Specifying Safety-Critical Systems with AI-Components

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
    Nyckelord :Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

    Sammanfattning : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. LÄS MER

  4. 8. The influence of data annotation process requirements on performance criteria of ML models

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Maab Mohammedali; Muntasir Adam; [2023-08-03]
    Nyckelord :;

    Sammanfattning : The data annotation process is a critical step in the development of machine learning (ML) models, as it entails labeling data to help supervised learning. This study investigates the impact of data annotation process requirements on the performance of ML models. LÄS MER

  5. 9. Investigating the Accuracy of Metric-Based versus Machine Learning Approaches in Detecting Design Patterns

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Nils Dunlop; [2023-08-03]
    Nyckelord :Design Pattern Detection; Metrics; Thresholds; Machine Learning;

    Sammanfattning : Design pattern detection approaches have evolved, with machine-learning methods gaining prominence. However, implementing machine-learning models can be challenging due to extensive training requirements and the need for large labeled design pattern datasets. LÄS MER

  7. 10. Challenges and strategies of teaching swedish to low – literacy skilled immigrants

    Master-uppsats, Göteborgs universitet/Institutionen för pedagogik och specialpedagogik

    Författare :Saba Monirzadeh; [2023-06-21]
    Nyckelord :Low-literate adult; teaching challenges; Swedish for Immigrants; Teaching strategies;

    Sammanfattning : Aim: The present study aims to investigate the challenges SFI teachers face when teaching basic Swedish to low-literacy skilled immigrants, and the strategies they implement to teach these groups. Particularly, this study looks for any indications of Vygotsky’s sociocultural theory (SCT) in the teaching methods used while teaching SFI to individuals who lack literacy. LÄS MER