Sökning: "Introductory Programming"

Visar resultat 1 - 5 av 36 uppsatser innehållade orden Introductory Programming.

  1. 1. Clustering and Matching Student Solutions in Source Academy

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Fredrik Olofsson; [2023]
    Nyckelord :;

    Sammanfattning : Uppsala University uses a platform called Source Academy for the introductory programming courses, which handles homework, exercises and more. Homework is delimited and there are only so many ways that one can solve a given task, which leads to a lot of student submissions being very similar when solving a homework. LÄS MER

  3. 2. GPT-4 as an Automatic Grader : The accuracy of grades set by GPT-4 on introductory programming assignments

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

    Författare :Filippa Nilsson; Jonatan Tuvstedt; [2023]
    Nyckelord :;

    Sammanfattning : Education is a field with a lot of time consuming tasks outside the core charge of teaching. One of these arduous tasks is grading, which can be monotonous and very time consuming. LÄS MER

  4. 3. Perception of variety in forests in relation to reducing polygon count : Exploring human perception in computer graphics and computer graphics education

    Uppsats för yrkesexamina på avancerad nivå, KTH/Lärande

    Författare :Amani Najimudeen; [2023]
    Nyckelord :aggregates; perception; forests; computer graphics education; aggregat; mänsklig uppfattning; skogar; datorgrafikundervisning;

    Sammanfattning : By taking human perception into account in computer graphics, time and processing power may be utilised more efficiently when modelling and rendering scenes. Exploring possibilities for reducing the complexity of forest scenes is particularly interesting because of the geometric complexity of trees, the effects of which are compounded by dense, large-scale forests. LÄS MER

  5. 4. Problem Solving Using Automatically Generated Code

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

    Författare :Emir Catir; Robin Claesson; [2023]
    Nyckelord :automatic code generation; code accuracy; natural language processing; GitHub Copilot; CodePal; problem-solving; automatisk kodgenerering; kods träffsäkerhet; språkvetenskap; GitHub Copilot; CodePal; problemlösning;

    Sammanfattning : Usage of natural language processing tools to generate code is increasing together with the advances in artificial intelligence. These tools could improve the efficiency of software development, if the generated code can be shown to be trustworthy enough to solve a given problem. LÄS MER

  7. 5. Kan chatbotar lösa kodningsuppgifter bedömda av automatiska rättningsverktyg inom högre utbildningar? : En studie av ChatGPT

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

    Författare :Nora Dunder; Saga Lundborg; [2023]
    Nyckelord :ChatGPT; GPT-3; OpenAI; Academic Integrity; Cheating; Artificial intelligence; Python; Programming; Kattis; Automated Assessment Systems; Higher Education; ChatGPT; GPT-3; OpenAI; Akademisk integritet; Fusk; AI; Artificiell intelligens; Python; Programmering; Kattis; Automatiskt rättningssystem;

    Sammanfattning : The present study examines ChatGPT-3's ability to generate code solutions for introductory programming courses in computer science and the potential implications for academic integrity. An experiment was conducted where ChatGPT was tested on programming problems from Kattis, an automatic software grading tool for computer programs, used in higher education. LÄS MER