Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: A meta-analysis of literature

Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile

(2021) Carlos A. Palacios et al.   Entropy

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

(2021) Matthew J Page et al.   BMJ-British Medical Journal

A systematic review of audience response systems for teaching and learning in higher education: The student experience

(2020) Ruth Wood et al.   COMPUTERS & EDUCATION

Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques

(2020) Raza Hasan et al.   Applied Sciences-Basel

IoT System for School Dropout Prediction Using Machine Learning Techniques Based on Socioeconomic Data

(2020) Francisco A. da S. Freitas et al.   Electronics

Enhancing prediction of student success: Automated machine learning approach

(2020) Hassan Zeineddine et al.   COMPUTERS & ELECTRICAL ENGINEERING

Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review

(2020) Abdallah Namoun et al.   Applied Sciences-Basel

A Robust Machine Learning Technique to Predict Low-performing Students

(2019) Soohyun Nam Liao et al.   ACM Transactions on Computing Education

Predicting Academic Performance of Students Using a Hybrid Data Mining Approach

(2019) Bindhia K. Francis et al.   JOURNAL OF MEDICAL SYSTEMS

Application of Machine Learning in Predicting Performance for Computer Engineering Students: A Case Study

(2019) Buenaño-Fernández et al.   Sustainability

Identifying at-risk students based on the phased prediction model

(2019) Yan Chen et al.   KNOWLEDGE AND INFORMATION SYSTEMS

An Early Feedback Prediction System for Learners At-Risk Within a First-Year Higher Education Course

(2019) David Baneres et al.   IEEE Transactions on Learning Technologies

Using machine learning to predict physics course outcomes

(2019) Cabot Zabriskie et al.   Physical Review Physics Education Research

Using machine learning to predict student difficulties from learning session data

(2018) Mushtaq Hussain et al.   ARTIFICIAL INTELLIGENCE REVIEW

Utilizing early engagement and machine learning to predict student outcomes

(2018) Cameron C. Gray et al.   COMPUTERS & EDUCATION

Predicting students' final performance from participation in on-line discussion forums

(2013) Cristóbal Romero et al.   COMPUTERS & EDUCATION

A comparative analysis of machine learning techniques for student retention management

(2010) Dursun Delen   DECISION SUPPORT SYSTEMS

A generic design environment for the rural industry knowledge acquisition

(2008) Shah Jahan Miah et al.   KNOWLEDGE-BASED SYSTEMS