Kingsley Okoye

Orcid: 0000-0002-6943-9885

According to our database1, Kingsley Okoye authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine learning model (RG-DMML) and ensemble algorithm for prediction of students' retention and graduation in education.
Comput. Educ. Artif. Intell., 2024

R Programming - Statistical Data Analysis in Research
Springer, ISBN: 978-981-97-3384-2, 2024

2023
Improving instruction and sexual health literacy with serious games and gamification interventions: an outlook to students' learning outcomes and gender differences.
Interact. Learn. Environ., May, 2023

Impact of digital technologies upon teaching and learning in higher education in Latin America: an outlook on the reach, barriers, and bottlenecks.
Educ. Inf. Technol., February, 2023

A Text Mining and Statistical Approach for Assessment of Pedagogical Impact of Students' Evaluation of Teaching and Learning Outcome in Education.
IEEE Access, 2023

Technology-mediated method for prediction of global government investment in education toward sustainable development and aid using machine learning and classification.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2023

2022
Towards teaching analytics: a contextual model for analysis of students' evaluation of teaching through text mining and machine learning classification.
Educ. Inf. Technol., 2022

An analysis of the students' evaluation of professors' competencies in the light of professors' gender.
Proceedings of the IEEE Frontiers in Education Conference, 2022

2021
Technology-mediated teaching and learning process: A conceptual study of educators' response amidst the Covid-19 pandemic.
Educ. Inf. Technol., 2021

The Impact of Technological Advancements on Educational Innovation (VSI-tei).
Comput. Electr. Eng., 2021

Impact of Educational Coaching Programs and Mentoring Services on Users' Perception and Preferences: A Qualitative and Quantitative Approach.
IEEE Access, 2021

Educational Workflow Model for Effective and Quality Management of E-Learning Systems Design and Development: A Conceptual Framework.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

2020
Semantic process mining: A conceptual application of main tools, framework and model analysis.
Int. J. Hybrid Intell. Syst., 2020

2019
Learning Analytics: The Role of Information Technology for Educational Process Innovation.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2019

Educational Process Intelligence: A Process Mining Approach and Model Analysis.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2019

Semantic-Based Process Mining: A Conceptual Model Analysis and Framework.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2019

Technique for Annotation of Fuzzy Models: A Semantic Fuzzy Mining Approach.
Proceedings of the Fuzzy Systems and Data Mining V, 2019

2018
The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain.
Proceedings of the Intelligent Systems and Applications, 2018

2017
Semantic fuzzy mining: Enhancement of process models and event logs analysis from syntactic to conceptual level.
Int. J. Hybrid Intell. Syst., 2017

2016
Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016

Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2014
A Semantic Rule-Based Approach Towards Process Mining for Personalised Adaptive Learning.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

A Semantic Rule-based Approach Supported by Process Mining for Personalised Adaptive Learning.
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014


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