Daniel F. O. Onah

According to our database, Daniel F. O. Onah authored at least 16 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Measuring Error Alignment for Decision-Making Systems.

Binxia Xu, Antonis Bikakis, Daniel F. O. Onah, Andreas Vlachidis, Luke Dickens

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Correction to: An investigation of self-regulated learning in a novel MOOC platform.

Daniel F. O. Onah, Elaine L. L. Pang, Jane E. Sinclair

J. Comput. High. Educ., April, 2024

An investigation of self-regulated learning in a novel MOOC platform.

Daniel F. O. Onah, Elaine L. L. Pang, Jane E. Sinclair

J. Comput. High. Educ., April, 2024

Context Helps: Integrating Context Information with Videos in a Graph-Based HAR Framework.

Binxia Xu, Antonis Bikakis, Daniel F. O. Onah, Andreas Vlachidis, Luke Dickens

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Paediatric Pneumonia chest X-ray image classification with association to Lung cancer disease using ResNet50 Deep Learning Model.

Daniel F. O. Onah, Hamde Risak Warsame

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Evaluating Speech Emotion Recognition through the lens of CNN & LSTM Deep Learning Models.

Daniel F. O. Onah, Asia Ibrahim

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling.

Daniel Friday Owoichoche Onah

CoRR, 2022

EnuwaJGX: Machine Learning Gene Prediction Software Application Model - An Innovative Method to Precision Medicine and Predictive Analysis of Visualising Mutated Genes Associated to Neurological Phenotype of Diseases.

Daniel F. O. Onah

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling.

Daniel F. O. Onah, Elaine L. L. Pang, Mahmoud El-Haj

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Cognitive optimism of distinctive initiatives to foster self-directed and self-regulated learning skills: A comparative analysis of conventional and blended-learning in undergraduate studies.

Daniel F. O. Onah, Elaine L. L. Pang, Jane E. Sinclair

Educ. Inf. Technol., 2020

Increasing academic diversity and inter-disciplinarity of Computer Science in Higher Education.

Paul Dempster, Daniel F. O. Onah, Lynne Blair

Proceedings of the CEP 2020: Computing Education Practice 2020, 2020

2018

Learning Analytics for Motivating Self-regulated Learning and Fostering the Improvement of Digital MOOC Resources.

Daniel Friday Owoichoche Onah, Elaine L. L. Pang, Jane E. Sinclair, James Uhomoibhi

Proceedings of the Mobile Technologies and Applications for the Internet of Things, 2018

2017

Investigating self-regulated learning in massive open online courses: a design science research approach.

Daniel Friday Owoichoche Onah

PhD thesis, 2017

Assessing Self-Regulation of Learning Dimensions in a Stand-alone MOOC Platform.

Daniel Friday Owoichoche Onah, Jane E. Sinclair

Int. J. Eng. Pedagog., 2017

2016

A Multi-dimensional Investigation of Self-regulated Learning in a Blended Classroom Context: A Case Study on eLDa MOOC.

Daniel F. O. Onah, Jane E. Sinclair

Proceedings of the Interactive Collaborative Learning - Proceedings of the 19th ICL Conference, 2016

2015

Measuring self-regulated learning in a novel e-learning platform: eLDa.

Daniel Friday Owoichoche Onah, Jane E. Sinclair

Proceedings of the 15th Koli Calling Conference on Computing Education Research, 2015