Results 1 to 10 of about 73,378 (364)

Student throughput variables and properties: Varying cohort sizes

South African Journal of Science, 2017
A recent research paper described how student throughput variables and properties combine to explain the behaviour of stationary or simplified throughput systems.
Lucas C.A. Stoop
doaj   +1 more source

The Ever-Shifting Internet Population [PDF]

, 2003
Presents findings from surveys conducted between March and May 2002. Takes a new look at Internet access and the digital divide. Explores factors of cost, lack of technology skills, and physical access (particularly for persons with disabilities)
Amanda Lenhart, Angie Boyce, Erin O'Grady, John B. Horrigan, Katherine Allen, Lee Rainie, Mary Madden   +6 more
core  

Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques

IEEE Access
This study addresses the pressing issue of student dropout in higher education institutions and explores the potential of artificial intelligence (AI) to mitigate this challenge.
Radic Goran, Luka Jovanovic, Nebojsa Bacanin, Milos S. Stankovic, Vladimir Simic, Milos Antonijevic, Miodrag Zivkovic   +6 more
doaj   +1 more source

Implementasi Kebijakan Program Indonesia Pintar (PIP) di Wilayah Kementerian Agama Kabupaten Sidoarjo

Al-Idaroh: Jurnal Studi Manajemen Pendidikan Islam, 2021
This study aims to identify and describe the implementation of the Smart Indonesia Program Policy or Program Indonesia Pintar (PIP) in the area of ??the Ministry of Religion, Sidoarjo Regency. The research method used is qualitative research.
Lilik Fadzlun, Zaidatun Ni’mah, Lindah Ayu Lestari, Lilik Huriyah, Abdul Rahman   +4 more
doaj  

A hybrid model integrating recurrent neural networks and the semi-supervised support vector machine for identification of early student dropout risk [PDF]

PeerJ Computer Science
Background Student dropout rates are one of the major concerns of educational institutions because they affect the success and efficacy of them. In order to help students continue their learning and achieve a better future, there is a need to identify ...
Huong Nguyen Thi Cam, Aliza Sarlan, Noreen Izza Arshad   +2 more
doaj   +2 more sources

MEDICAL STUDENTS DROPOUT PREDICTORS

Medical Education and Professional Development, 2022
A.O. Mescheryakov, N.A. Bayanova, E.A. Kalinina, V.A. Denisov   +3 more
openaire   +1 more source

Relationships between student throughput variables and properties

South African Journal of Science, 2015
Many different models have been designed to describe the plethora of factors that influence student throughput and success and how these factors affect throughput system variables and properties.
Lucas C.A. Stoop
doaj   +1 more source

Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques

, 2021
Marta Cannistrà, Chiara Masci, Francesca Ieva, Tommaso Agasisti, Anna Maria Paganoni   +4 more
openalex   +2 more sources

Measured Progress: A Report on the High School Reform Movement [PDF]

, 2006
New studies on the impact of the wide-ranging efforts over the past half-decade to reform the nation's public high schools have produced important -- and encouraging ...
Craig D. Jerald
core  

Examining Nursing Student Dropout Behavior: An Event History Analysis

, 2020
Michele Blackwell, Michele Blackwell
openalex   +2 more sources