Dataset student performance
WebStudent Performance Data was obtained in a survey of students' math course in secondary school. It consists of 33 Column Dataset Contains Features like school ID … WebJan 17, 2024 · The design of a student performance prediction model based on the extraction of a set of statistical features which were categorized into three broad categories: (1) activity-type based, (2) timing statistics-based, and (3) peripheral activity count-based.
Dataset student performance
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WebJan 3, 2024 · The dataset used in this study is a Student Performance Dataset that is extracted from the University of California Irvine (UCI) Machin e Learning Repository [ 3 ]. The rest of this paper is ... WebFeb 10, 2024 · SLP-dataset Introduction. SLP dataset is a valuable dataset from K-12 education. It mainly has two properties: ——Multi-Dimensional: It covers the data from five different dimensions, namely student demographic information, psychometric intelligence information, academic performance information, family information and school …
WebMar 28, 2024 · The ability to predict the performance tendency of students is very important to improve their teaching skills. It has become a valuable knowledge that can be used for different purposes; for example, a strategic plan can be applied for the development of a quality education. This paper proposes the application of data mining techniques to … WebApr 20, 2024 · This dataset is very useful as it not only elicits responses from students on their use of digital tools for studying but also takes into account the psychological impact …
WebNov 15, 2024 · The p-value obtained for the Student Performance Dataset was 0. chi_square_value, ... try to classify the student performance considering the 5-level classification based on the Erasmus grade ... WebPredict the academic performance of students (Low, Medium, or High) based on 16 features. Predict the academic performance of students (Low, Medium, or High) based …
WebKnowledge tracing (KT) serves as a primary part of intelligent education systems. Most current KTs either rely on expert judgments or only exploit a single network structure, …
WebMar 2, 2024 · The Kaggle service provides some datasets, primarily for student self-learning. These are not suitable for use in a class challenge, because all the data is … schaeffler optime pdfWebThe data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. Two datasets … schaeffler orthopédie olivetWebApr 21, 2024 · Student Performance In Exams Notebook 3. Mobile Price Classification The Mobile Price Classification dataset has a lot of data features and a wide variety of data following various distribution patterns. There are categorical features, Numerical continuous data, and even binary data. rushing family practice greenville txWebJul 10, 2024 · The dataset consists of 480 student records and 16 features. The features are classified into three major categories: (1) Demographic features such as gender and nationality. (2) Academic background features such … rushing feeling in headWebPredicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances. ... schaeffler ownerWebAug 23, 2024 · The dataset consists of the marks secured in various subjects by high school students from the United States, which is accessible from Kaggle Student … rushing football definitionWebApr 10, 2024 · The modern online learning platforms have resulted in massive amounts of educational data. The collected data can be analyzed to resolve critical issues in the educational field, such as the student dropout ratio (Mubarak et al., 2024), improved learning platforms Ferguson (), and the tracking of students’ academic … schaeffler paravan technologie