Predictive and explanatory models might miss informative features in educational data
NT Young, MD Caballero - arXiv preprint arXiv:2103.14513, 2021 - arxiv.org
We encounter variables with little variation often in educational data mining (EDM) due to
the demographics of higher education and the questions we ask. Yet, little work has …
the demographics of higher education and the questions we ask. Yet, little work has …
[PDF][PDF] Predicting school children academic performance using machine learning techniques
R Qasrawi, S VicunaPolo, DA Al-Halawa… - Adv Sci Technol Eng …, 2021 - academia.edu
The study aims to assess the machine learning techniques in predicting students' associated
factors that affect their academic performance. The study sample consisted of 5084 middle …
factors that affect their academic performance. The study sample consisted of 5084 middle …
Implementing machine learning techniques for predicting student performance in an E-learning environment
AS Paramita, LM Tjahjono - … Journal of Informatics and Information Systems, 2021 - ijiis.org
The pandemic of COVID-19 has altered the way people learn. Learning has moved from
offline to online throughout this pandemic. Predicting student performance based on …
offline to online throughout this pandemic. Predicting student performance based on …
[图书][B] Exploring a Generalizable Machine Learned Solution for Early Prediction of Student At-Risk Status
CJ Coleman - 2021 - search.proquest.com
Determining which students are at-risk of poorer outcomes--such as dropping out, failing
classes, or decreasing standardized examination scores--has become an important area of …
classes, or decreasing standardized examination scores--has become an important area of …
2016-2020 yılları arasında Öğrenme Analitiği ile ilgili Yapılmış SSCI İndeksli Makalelerin Sistematik Olarak İncelenmesi
AH Kıcıman, EA Tot, E Eren, G Çetintav… - … and Lifelong Learning, 2021 - dergipark.org.tr
Covid-19 virüsünün tüm dünyayı hızlı bir şekilde sarması ve bu kapsamda alınan önlemlerin
dünya nüfusunu büyük oranda evlere hapsetmesiyle bireysel ve sektörel ihtiyaçlarda …
dünya nüfusunu büyük oranda evlere hapsetmesiyle bireysel ve sektörel ihtiyaçlarda …
Integrating deep learning architecture into matrix factorization for student performance prediction
TN Huynh-Ly, HT Le, N Thai-Nghe - … 2021, Virtual Event, November 24–26 …, 2021 - Springer
In universities using the academic credit system, choosing elective courses is a crucial task
that significantly affects student performance. Because of poor performances, numerous …
that significantly affects student performance. Because of poor performances, numerous …
Using sap predictive analytics to analyze individual student profiles in lms moodle
AN Ambrajei, NM Golovin, AV Valyukhova… - … for Information Systems …, 2021 - Springer
The article is devoted to an important today's issue-the analysis of a student's digital
footprint. The authors present their experience in research of a large amount of data …
footprint. The authors present their experience in research of a large amount of data …
[PDF][PDF] Learning analytics feedforward: Designing dashboards according to learner expectations and lecturer perspectives
Learning analytics provide valuable information for learners and instructors by combining
and analyzing learners' historical data during the learning experience. The most common …
and analyzing learners' historical data during the learning experience. The most common …
The Role of Learning Analytics in Higher Education: A Strategy towards Sustainability
The impact of COVID-19 has been vast and enormous on every sector globally. But a
tremendous change in the plan of action has been seen in the healthcare facilities and …
tremendous change in the plan of action has been seen in the healthcare facilities and …