Sign Up to like & get
recommendations!
0
Published in 2024 at "Journal of Further and Higher Education"
DOI: 10.1080/0309877x.2024.2446601
Abstract: ABSTRACT This paper investigates the perceptions of 18 course directors on student dropout in Portuguese higher education institutions (HEIs), especially during the COVID-19 pandemic. Using a qualitative approach, through content analysis of semi-structured interviews, the…
read more here.
Keywords:
course directors;
covid pandemic;
student dropout;
higher education ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3486762
Abstract: Educational Data Mining and learning analytics have gained significant prominence in recent years, garnering attention from researchers worldwide. This is primarily due to their potential to improve decision-making processes within higher education. This study utilizes…
read more here.
Keywords:
early student;
student dropout;
enhancing early;
student ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3550817
Abstract: This paper presents a novel approach to predicting student dropout by analyzing publicly available data from VKontakte social network profiles. Unlike traditional methods that primarily rely on academic and institutional data, our method leverages publicly…
read more here.
Keywords:
student dropout;
dropout;
student;
analysis ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2017 at "London Review of Education"
DOI: 10.18546/lre.15.2.12
Abstract: This article presents a review of extant research on student dropout in Norway, originally undertaken as part of a systematic review. The article contextualizes the foundational principle of equality as championed by the welfare state…
read more here.
Keywords:
upper secondary;
secondary education;
education;
student dropout ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2024.1336538
Abstract: Background Student dropout has been a key issue facing universities for many years. The COVID-19 pandemic was expected to exacerbate these trends; however, international literature has produced conflicting findings. Limited literature from Africa has investigated…
read more here.
Keywords:
student dropout;
mental distress;
food;
food insecurity ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13106275
Abstract: Since a high dropout rate for university students is a significant risk to local communities and countries, a dropout prediction model using machine learning is an active research domain to prevent students from dropping out.…
read more here.
Keywords:
dropout prediction;
university;
precision;
student dropout ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14177593
Abstract: High student dropout rates are a critical issue in Somaliland, significantly impeding educational progress and socioeconomic development. This study leveraged data from the 2022 National Education Accessibility Survey (NEAS) to predict student dropout rates using…
read more here.
Keywords:
student dropout;
education;
dropout;
survey ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2021 at "Data"
DOI: 10.3390/data6070074
Abstract: Nowadays, the importance of educational data mining and learning analytics in higher education institutions is being recognised. The analysis of university careers and of student dropout prediction is one of the most studied topics in…
read more here.
Keywords:
learning analytics;
effects trees;
generalised mixed;
mixed effects ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.2034
Abstract: Student dropout prediction (SDP) in educational research has gained prominence for its role in analyzing student learning behaviors through time series models. Traditional methods often focus singularly on either prediction accuracy or earliness, leading to…
read more here.
Keywords:
student dropout;
trade;
accuracy earliness;
dropout prediction ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.2572
Abstract: 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,…
read more here.
Keywords:
student dropout;
student;
risk;
machine ... See more keywords