Ms. Gyimah, Esther
| egyimah@uew.edu.gh |
Dake, D. K., Gyimah, E., & Buabeng-Andoh, C. (2023). University Students Behaviour Modelling Using the K-Prototype Clustering Algorithm. Mathematical Problems in Engineering, 2023, 1-14. DOI: https://doi.org/10.1155/2023/5507814
Dake, D. K., & Gyimah, E. (2022). Using sentiment analysis to evaluate qualitative students’ responses. Education and Information Technologies, 28(4), 4629-4647. DOI: https://doi.org/10.1007/s10639-022-11349-1
Gyimah, E. (2020). Online Learning Engagement and Satisfaction of First Year Undergraduate Students in a Blended Course. In 2019 International Conference on Mechatronics, Remote Sensing, Information Systems and Industrial Information Technologies (ICMRSISIIT) IEEE, Ghana. DOI: https://doi.org/10.1109/ICMRSISIIT46373.20...
Gyimah, E., & Dake, D. K. (2019). Using Decision Tree Classification Algorithm to Predict Learner Typologies for Project-Based Learning. In 2019 International Conference on Computing, Computational Modelling and Applications (ICCMA) IEEE, Cape Coast, Ghana. DOI: https://doi.org/10.1109/ICCMA.2019.00029
Dake, D. K., & Gyimah, E. (2019). Using K-Means to Determine Learner Typologies for Project-based Learning: A Case Study of the University of Education, Winneba. International Journal of Computer Applications, 178(43), 29-34. DOI: https://doi.org/10.5120/ijca2019919320
Gyimah, E., Dake, D. K., & Agbeko, M. (2018). The Role of Computer Games in the Learning of Programming among Tertiary Students in Ghana. African Journal of Applied Research, 4(2), 242-252.
Dake, D. K., & Gyimah, E. (2017). Students Grades Predictor using Naïve Bayes Classifier – A Case Study of University of Education , Winneba. International Journal of Innovative Research in Science, Engineering and Technology, 6(10), 19301-19308. DOI: https://doi.org/10.15680/IJIRSET.2017.0610001
Ofori-Dwumfuo, G. O., & Gyimah, E. (2013). Business Intelligence as an ICT Tool for Financial Crime Detection in Ghana. Research Journal of Information Technology, 5(3), 62-71. DOI: https://doi.org/10.19026/rjit.5.5789