Student Performance Prediction Using Machine Learning
Hrutuja Umakant Aher · Zenodo Open Repository
Topik Terkait
Referensi Serupa
Prediction model of preeclampsia using single nucleotide polymorphism and machine learning methods: A population-based cohort study in Jordan
Shatha Awawdeh; Hasan Rawashdeh; Hanaa Fathi; Arar Al Tawil; Fatima Al-Shannaq; Esraa Henawi; Omar F. Khabour
A hybrid structural–machine learning framework: Conventional SVAR and random forest regression
Augusto Aliaga-Miranda; Luis Ricardo Flores-Vilcapoma; Jorge Miguel Chávez-Díaz; Luis Antonio Visurraga-Camargo; Jacqueline Denisse Llacza-Molina; Wilmar Salvador Chavarry-Becerra
Algorithm Implementations Naïve Bayes, Random Forest. C4.5 on Online Gaming for Learning Achievement Predictions
Baharuddin, Baharuddin
EFFECTIVENESS OF PERFORMANCE ASSESSMENT TOWARDS CHEMISTRY LEARNING PRODUCTIVITY AND MOTIVATION OF SENIOR HIGH-SCHOOL STUDENTS IN SPECIAL REGION OF YOGYAKARTA
Rr. Lis , Permana Sari; Antuni , Wiyarsi
THE CORRELATION BETWEEN STUDENTS’ MOTIVATION IN LEARNING ENGLISH AND THEIR SPEAKING PERFORMANCE AT THE TENTH GRADE OF STATE SENIOR HIGH SCHOOL 1 TAPUNG HILIR
DIAH NOVIANTI
THE RELATIONSHIP BETWEEN THE INTENSITY AND INTERESTS OF SCHOOL FACILITIES WIFI UTILIZATION WITH ICT SUBJECTS LEARNING PERFORMANCE ON STUDENTS OF 1st STATE HIGH SCHOOL (SMAN 1) JETIS BANTUL ON ACADEMIC YEAR OF 2011/2012
Wahyu, Hidayat
THE EFFECT OF SELF-EFFICACY AND ENTREPRENEURSHIP LEARNING ACHIEVEMENT ON MOTIVATION OF TECHNOLOGY BASED ENTREPRENEURSHIP (TECHNOPRENEURSHIP) ON MACHINERY TECHNIQUE VOCATION STUDENTS PROGRAM CLASS XI AT SMK MUHAMMADIYAH 3 YOGYAKARTA
Satria Bekti, Santosa
Prediction of Teachers' Lateness Factors Coming to School Using C4.5, Random Tree, Random Forest Algorithm
Baharuddin, Baharuddin
Development of computerized adaptive testing to measure students' logical thinking skills in science learning
Fitri Wulandari, -; Samsul Hadi, -; Haryanto, -
Analysis of Student Learning Difficulties by Using the GQGA Application during the Covid-19 Pandemic
Siagian, Meryance Viorentina; Fau, Alwin
PROBLEM SOLVING–BASED PERFORMANCE ASSESSMENT IN THE LEARNING OF CONSUMER EDUCATION AS A MEANS OF DEVELOPING CRITICAL– THOUGHT VOCATIONAL STUDENTS’ CHARACTER
Sri, Wening
Blended learning approaches enhance student academic performance
Morris, NP
Literatur Lain dari Zenodo Open Repository
Analysis of Student Learning Difficulties by Using the GQGA Application during the Covid-19 Pandemic
Siagian, Meryance Viorentina; Fau, Alwin · 2021
The Impact of Artificial Intelligence in Educational System
Bit, Dipanwita; Biswas, Souvik; Nag, Mrinmoy · 2024
A Study on Academic Achievement, Perception of School Climate, And Social Support among Higher Secondary Students
Haldar, Mousumi; Singh, Yashpal · 2025
Dataset of school studentsfor Analyzing of AI-Powered Online Learning Support Applications for Completing School Assignments Using the UTAUT Model
Hendraja, Yehuda; Vandry, Freddy; Prasetyaji, Edmundus · 2025
Pilot Dataset for the Validation of an Instrument to Assess Maker Skills in Educational Contexts
George-Reyes, Carlos Enrique · 2026
Students' Perceptions of Mobile-Assisted Grammar Learning: A Pilot Study of HSC Students in Dhaka, Bangladesh
Tanvir Mostafa · 2026
ASSESSING ARTIFICIAL INTELLIGENCE LITERACY: EVIDENCE FROM POSTGRADUATE SCIENCE STUDENTS AT MAHATMA GANDHI COLLEGE, ARMORI, MAHARASHTRA
Gondwana University · 2025
Exploring the Effects of Funding on Educational Outcomes through a Comparative Study of Public Schools in Nigeria, Canada, and Indonesia in the Context of Emerging Economies and Developed Nations
Ogwuche, Angelina Okewu · 2024
Literatur Terbaru yang Relevan
Prediction model of preeclampsia using single nucleotide polymorphism and machine learning methods: A population-based cohort study in Jordan
Shatha Awawdeh; Hasan Rawashdeh; Hanaa Fathi; Arar Al Tawil; Fatima Al-Shannaq; Esraa Henawi; Omar F. Khabour · 2026
A hybrid structural–machine learning framework: Conventional SVAR and random forest regression
Augusto Aliaga-Miranda; Luis Ricardo Flores-Vilcapoma; Jorge Miguel Chávez-Díaz; Luis Antonio Visurraga-Camargo; Jacqueline Denisse Llacza-Molina; Wilmar Salvador Chavarry-Becerra · 2026
Algorithm Implementations Naïve Bayes, Random Forest. C4.5 on Online Gaming for Learning Achievement Predictions
Baharuddin, Baharuddin · 2019
THE CORRELATION BETWEEN STUDENTS’ MOTIVATION IN LEARNING ENGLISH AND THEIR SPEAKING PERFORMANCE AT THE TENTH GRADE OF STATE SENIOR HIGH SCHOOL 1 TAPUNG HILIR
DIAH NOVIANTI · 2018
THE RELATIONSHIP BETWEEN THE INTENSITY AND INTERESTS OF SCHOOL FACILITIES WIFI UTILIZATION WITH ICT SUBJECTS LEARNING PERFORMANCE ON STUDENTS OF 1st STATE HIGH SCHOOL (SMAN 1) JETIS BANTUL ON ACADEMIC YEAR OF 2011/2012
Wahyu, Hidayat · 2013
Prediction of Teachers' Lateness Factors Coming to School Using C4.5, Random Tree, Random Forest Algorithm
Baharuddin, Baharuddin · 2019
Development of computerized adaptive testing to measure students' logical thinking skills in science learning
Fitri Wulandari, -; Samsul Hadi, -; Haryanto, - · 2021
Analysis of Student Learning Difficulties by Using the GQGA Application during the Covid-19 Pandemic
Siagian, Meryance Viorentina; Fau, Alwin · 2021