Sökning: "Clara Tump"

Hittade 1 uppsats innehållade orden Clara Tump.

  1. 1. Dynamic Student Embeddings for a Stable Time Dimension in Knowledge Tracing

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

    Författare :Clara Tump; [2020]
    Nyckelord :Knowledge Tracing; Exercise Recommendation; Adaptive Learning; Machine Learning; Word Embeddings; Dynamic Embeddings; Recurrent Neural Networks; Long Short-Term Memory Neural Networks; Kunskapsspårning; Uppgiftsrekommendation; Adaptivt Lärande; Maskininlärning; Ordvektorer; Dynamiska Studentvektorer; Recurrent Neural Networks; Long ShortTerm Memory Neural Networks;

    Sammanfattning : Knowledge tracing is concerned with tracking a student’s knowledge as she/he engages with exercises in an (online) learning platform. A commonly used state-of-theart knowledge tracing model is Deep Knowledge Tracing (DKT) which models the time dimension as a sequence of completed exercises per student by using a Long Short-Term Memory Neural Network (LSTM). LÄS MER