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ORCIDKingsley Okoye
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2020 – today
- 2024
[b1]Kingsley Okoye, Samira Hosseini:
R Programming - Statistical Data Analysis in Research. Springer 2024, ISBN 978-981-97-3384-2, pp. 1-309- [j10]Kingsley Okoye
, Julius Tanyu Nganji, José Escamilla, Samira Hosseini:
Machine learning model (RG-DMML) and ensemble algorithm for prediction of students' retention and graduation in education. Comput. Educ. Artif. Intell. 6: 100205 (2024) - 2023
- [j9]Kingsley Okoye, Sandra Núñez-Daruich, Jose Francisco Enríquez de la O, Raquel Castaño-Gonzalez, José Escamilla, Samira Hosseini:
A Text Mining and Statistical Approach for Assessment of Pedagogical Impact of Students' Evaluation of Teaching and Learning Outcome in Education. IEEE Access 11: 9577-9596 (2023) - [j8]Kingsley Okoye, Hussein Haruna, Arturo Arrona-Palacios, Hector Nahun Quintero Milian, Luis Omar Peña Ortega, Angela Lopez Sanchez, Elena Arias Ortiz, José Escamilla, Samira Hosseini:
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. 28(2): 2291-2360 (2023) - [j7]Hussein Haruna, Zamzami Zainuddin, Kingsley Okoye, Robin R. Mellecker, Xiao Hu, Samuel Kai Wah Chu, Samira Hosseini:
Improving instruction and sexual health literacy with serious games and gamification interventions: an outlook to students' learning outcomes and gender differences. Interact. Learn. Environ. 31(4): 2392-2410 (2023) - [c14]Kingsley Okoye:
Technology-mediated method for prediction of global government investment in education toward sustainable development and aid using machine learning and classification. GHTC 2023: 151-158 - 2022
- [j6]Kingsley Okoye, Arturo Arrona-Palacios, Claudia Camacho-Zuñiga, Joaquín Alejandro Guerra Achem, José Escamilla, Samira Hosseini:
Towards teaching analytics: a contextual model for analysis of students' evaluation of teaching through text mining and machine learning classification. Educ. Inf. Technol. 27(3): 3891-3933 (2022) - [c13]Luis Acosta-Soto, Kingsley Okoye, Claudia Camacho-Zuñiga, José Escamilla, Samira Hosseini:
An analysis of the students' evaluation of professors' competencies in the light of professors' gender. FIE 2022: 1-7 - 2021
- [j5]Kingsley Okoye, Samira Hosseini, Arturo Arrona-Palacios, José Escamilla:
Impact of Educational Coaching Programs and Mentoring Services on Users' Perception and Preferences: A Qualitative and Quantitative Approach. IEEE Access 9: 48105-48120 (2021) - [j4]Samira Hosseini, Diego Peluffo, Kingsley Okoye, Julius Tanyu Nganji:
The Impact of Technological Advancements on Educational Innovation (VSI-tei). Comput. Electr. Eng. 93: 107333 (2021) - [j3]Kingsley Okoye, Jorge Alfonso Rodriguez-Tort, José Escamilla, Samira Hosseini:
Technology-mediated teaching and learning process: A conceptual study of educators' response amidst the Covid-19 pandemic. Educ. Inf. Technol. 26(6): 7225-7257 (2021) - [c12]Kingsley Okoye:
Educational Workflow Model for Effective and Quality Management of E-Learning Systems Design and Development: A Conceptual Framework. IBICA 2021: 475-490 - 2020
- [j2]Kingsley Okoye:
Semantic process mining: A conceptual application of main tools, framework and model analysis. Int. J. Hybrid Intell. Syst. 16(3): 127-147 (2020)
2010 – 2019
- 2019
- [c11]Kingsley Okoye:
Technique for Annotation of Fuzzy Models: A Semantic Fuzzy Mining Approach. FSDM 2019: 65-75 - [c10]Kingsley Okoye:
Semantic-Based Process Mining: A Conceptual Model Analysis and Framework. IBICA 2019: 188-200 - [c9]Kingsley Okoye, Samira Hosseini:
Educational Process Intelligence: A Process Mining Approach and Model Analysis. IBICA 2019: 201-212 - [c8]Kingsley Okoye, Julius Tanyu Nganji, Samira Hosseini:
Learning Analytics: The Role of Information Technology for Educational Process Innovation. IBICA 2019: 272-284 - 2018
- [c7]Kingsley Okoye, Syed Islam, Usman Naeem, Mhd Saeed Sharif, Muhammad Awais Azam, Amin Karami:
The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. IntelliSys (1) 2018: 1381-1403 - 2017
- [j1]Kingsley Okoye, Usman Naeem, Syed Islam:
Semantic fuzzy mining: Enhancement of process models and event logs analysis from syntactic to conceptual level. Int. J. Hybrid Intell. Syst. 14(1-2): 67-98 (2017) - 2016
- [c6]Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Syed Islam, Elyes Lamine:
Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data. IEEE BigData 2016: 3529-3538 - [c5]Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Syed Islam, Elyes Lamine:
Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain. SoCPaR 2016: 622-633 - 2015
- [c4]Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Elyes Lamine:
Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis. HPCC/CSS/ICESS 2015: 363-370 - [c3]Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Elyes Lamine:
A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis. NaBIC 2015: 49-60 - 2014
- [c2]Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Rabih Bashroush, Elyes Lamine:
A Semantic Rule-based Approach Supported by Process Mining for Personalised Adaptive Learning. EUSPN/ICTH 2014: 203-210 - [c1]Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Rabih Bashroush, Elyes Lamine:
A Semantic Rule-Based Approach Towards Process Mining for Personalised Adaptive Learning. HPCC/CSS/ICESS 2014: 929-936
Coauthor Index
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