Publication Date
In 2025 | 0 |
Since 2024 | 7 |
Descriptor
Source
Education and Information… | 2 |
European Journal of Education | 1 |
Journal of Educational Data… | 1 |
Journal of Educators Online | 1 |
Journal of Latinos and… | 1 |
Open Learning | 1 |
Author
Agathe Merceron | 1 |
Ajeet Singh | 1 |
Arun Sharma | 1 |
Banipreet Kaur | 1 |
Edwin Buenaño | 1 |
Gábor Kallós | 1 |
Harsimran Singh | 1 |
Javier Borja-Gil | 1 |
Jiaxin Lin | 1 |
Jingjing Long | 1 |
Josep Figueroa-Cañas | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 6 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Josep Figueroa-Cañas; Teresa Sancho-Vinuesa – Open Learning, 2024
Practitioners of the statistics course embedded in a computer science programme at a fully online university were concerned with the high dropout rate. In the academic year 2018-19, they decided to carry out a two-phase project in order to address this issue. In the first phase, an early classifier to identify students at risk of dropping out of…
Descriptors: Foreign Countries, College Students, Virtual Schools, Online Courses
Javier Borja-Gil; Mario Castellanos Verdugo; M. Ángeles Oviedo-García – European Journal of Education, 2024
Within OECD countries, 20% of university students continue no further than the first year. The objective of this research is to analyse the antecedents of student commitment, so as to design action plans for reducing dropout rates within higher education. Educational engagement, student--university identification and perception of performance were…
Descriptors: Academic Persistence, College Students, Dropouts, Foreign Countries
Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
Jingjing Long; Jiaxin Lin – Education and Information Technologies, 2024
English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…
Descriptors: Foreign Countries, English Language Learners, College Students, Mental Health
Harsimran Singh; Banipreet Kaur; Arun Sharma; Ajeet Singh – Education and Information Technologies, 2024
Today, the main aim of educational institutes is to provide a high level of education to students, as career selection is one of the most important and quite difficult decisions for learners, so it is essential to examine students' capabilities and interests. Higher education institutions frequently face higher dropout rates, low academic…
Descriptors: College Students, At Risk Students, Academic Achievement, Artificial Intelligence
Edwin Buenaño; María José Beletanga; Mónica Mancheno – Journal of Latinos and Education, 2024
University dropout is a serious problem in higher education that is increasingly gaining importance, as it is essential to understand its causes and search for public and institutional policies that can help reduce it. This research uses conventional and extended Cox survival models to analyze the factors behind dropout rates at a co-financed…
Descriptors: Foreign Countries, College Students, Dropouts, Dropout Rate
Melinda Krankovits; Gábor Kallós – Journal of Educators Online, 2024
Universities have a wealth of new digital tools and methodologies at their disposal for educational processes. It is difficult to know which of the many options to use, but it makes sense to combine methodologies to increase student satisfaction and, above all, to reduce drop-out rates. The study used a questionnaire survey in a mass course to see…
Descriptors: Blended Learning, Courses, Student Satisfaction, Learning Management Systems