Designing and evaluating a big data analytics approach for predicting students’ success factors

- Fahd, Kiran, Miah, Shah J.

Effectiveness of data augmentation to predict students at risk using deep learning algorithms

- Fahd, Kiran, Miah, Shah J.

An innovative big data analytics method for decision makers in the higher education sector to address student attrition

- Fahd, Kiran

Knowledge graph model development for knowledge discovery in dementia research using cognitive scripting and next-generation graph-based database: a design science research approach

- Fahd, Kiran, Miao, Yuan, Miah, Shah J., Venkatraman, Sitalakshmi, Ahmed, Khandakar

An innovative framework for online examination in a higher education setting : a response to the COVID-19 crisis

- Fahd, Kiran, Parvin, Sazia, Venkatraman, Sitalakshmi, Di Serio, Antony, de Souza-Daw, Anthony, Overmars, Anthony, Kaspi, Samuel, Miah, Shah J.

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

- Fahd, Kiran, Venkatraman, Sitalakshmi, Miah, Shah J., Ahmed, Khandakar

Integrating design science research and design based research frameworks for developing education support systems

- Fahd, Kiran, Miah, Shah J., Ahmed, Khandakar, Venkatraman, Sitalakshmi, Miao, Yuan

Predicting student performance in a blended learning environment using learning management system interaction data

- Fahd, Kiran, Miah, Shah Jahan, Ahmed, Khandakar