Sökning: "Generating exams"

Hittade 4 uppsatser innehållade orden Generating exams.

  1. 1. Automatic Distractor Generation for Spanish Reading Comprehension Questions : Using language models to generate wrong, but plausible answers for multiple choice questions in Spanish

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

    Författare :Jorge Santiago Roman Avila; [2023]
    Nyckelord :Distractor Generation; Multiple Choice Questions; Reading Comprehension; Spanish Language; BERT; GPT; Distraktorgeneration; Flervalsfrågor; Läsförståelse; Spanska språket; BERT; GPT; Generación de Distractores; Preguntas de Opción Múltiple; Comprensión de Lectura; Lenguaje Español; BERT; GPT;

    Sammanfattning : A common evaluation method for students in the context of reading comprehension is the use of Multiple Choice Questions. A student must read a text and a question, and then choose the correct answer from a set of options, one of which one is the correct answer, and the other options are wrong. The wrong options are called distractors. LÄS MER

  3. 2. Dielectric Characterization of Bone Using Ultra Wide Band Microwave Transmission Probe

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Abhinav Singh; [2022]
    Nyckelord :;

    Sammanfattning : The body has the capability of reabsorbing and generating new bone throughout life. Bone remains healthy as long it maintains the equal amount of old and new bones. Bone loss is occurred when the old bone absorbed is more and new bone created is less. Osteoporosis is a very common bone disease among men and women in their later years. LÄS MER

  4. 3. Optimizing L2-regularization for Binary Classification Tasks

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

    Författare :Oskar Bolinder; [2022]
    Nyckelord :Machine learning; Overtraining; L2-regularization; Model selection; Binary classification; Physics and Astronomy;

    Sammanfattning : An Artificial Neural Network (ANN) is a type of machine learning algorithm with widespread usage. When training an ANN, there is a risk that it gets overtrained and cannot solve the task for new data. Methods to prevent this, such as L2-regularization, introduce hyperparameters that are time-consuming to optimize. LÄS MER

  5. 4. Generating Exams and Formative Feedback

    Master-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Författare :Lennart Franked; [2018]
    Nyckelord :E-learning; Generating exams; Generating formative feedback; privacy;

    Sammanfattning : Creating an exam that ensures an even coverage over all the Intended Learning Outcomes and at the same time ensures that to pass, the student should have passed all the Intended Learning Outcomes can be a difficult task. After an exam have been graded, formative feedback should be given to the students, especially in those cases where they did not pass the exam. LÄS MER