Sökning: "Automated essay scoring"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Automated essay scoring.

  1. 1. Automated Essay Scoring for English Using Different Neural Network Models for Text Classification

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Xindi Deng; [2021]
    Nyckelord :Automated Essay Scoring; neural network models; linguistic features;

    Sammanfattning : Written skills are an essential evaluation criterion for a student’s creativity, knowledge, and intellect. Consequently, academic writing is a common part of university and college admissions applications, standardized tests, and classroom assessments. However, the task for teachers is quite daunting when it comes to essay scoring. LÄS MER

  3. 2. On the Effectiveness of Handcrafted and Learned Features in Automated Essay Scoring

    Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Edvin Jakobsson; [2019]
    Nyckelord :Natural Language Processing Machine Learning Automated Essay Scoring; Technology and Engineering;

    Sammanfattning : The task of Automated Essay Scoring (AES) has been active for more than half a century, starting with handcrafting statistical features used for linear regression, and currently being improved by the latest advancements in machine learning and natural language processing. Most current research uses some form of character or word embeddings to represent the essays rather than statistical features, enabling the models to analyze the text in full and automatically learn what to look for. LÄS MER

  4. 3. Bedömning av elevuppsatser genom maskininlärning

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

    Författare :Johanna Dyremark; Caroline Mayer; [2019]
    Nyckelord :Automated essay scoring; machine learning; classification; linear discriminant analysis; k-nearest neighbour; random forest; language technology; natural language processing;

    Sammanfattning : Betygsättning upptar idag en stor del av lärares arbetstid och det finns en betydande inkonsekvens vid bedömning utförd av olika lärare. Denna studie ämnar undersöka vilken träffsäkerhet som en automtiserad bedömningsmodell kan uppnå. LÄS MER

  5. 4. Predicting essay grades for the Swedish national writing test based on the new grading scale A-F

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Jimmy Löfving; [2019]
    Nyckelord :Swedish national writing test; classification; multinomial logistic regression; discriminant analysis;

    Sammanfattning : Based on the curriculum of 2011 a new grading scale ranging from A-F was introduced in the Swedish upper secondary school system. Previous research on similar data have focused on the earlier grading scale, and its crucial that the new circumstances are addressed to understand the impact on grading. LÄS MER

  7. 5. Granskning av examensarbetesrapporter med IBM Watson molntjänster

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

    Författare :Patrik Eriksson; Philip Wester; [2018]
    Nyckelord :Essay Scoring; Cloud Services; Artificial Intelligence; AI; Natural Language Understanding; NLU; Uppsatsrättning; Molntjänster; Artificiell Intelligens; AI; Natural Language Processing; NLP;

    Sammanfattning : Cloud services are one of the fast expanding fields of today. Companies such as Amazon, Google, Microsoft and IBM offer these cloud services in various forms. As this field progresses, the natural question occurs ”What can you do with the technology today?”. LÄS MER