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Department of ICT Education

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ICT integration in Teacher Education - A study of University of Education, Winneba

Wilson, K.B; Ayebi-Arthur, K (Published in Ghana Journal of Science and Mathematics Education, 2011)

This paper generally sought to investigate the integration level of ICT in the training of teacher trainees at University of Education, Winneba. All level 100 students were purposive targeted in particular since they ...
Raising students programming skills using appiahene gamification model

Appiahene P.; Asante G.; Kesse-Yaw B.; Acquah-Hayfron J. (Academic Conferences and Publishing International Limited, 2017)

Information and Communication Technology (ICT) offers an opportunity for the development of modern Teaching and Learning Materials (TLM). The use of game features in a non-gaming context 'gamification' - suggest the promise ...
Anomaly detection framework for big data from Ghana perspective

Gyamfi N.K.; Appiah P.; Aidoo A. (Newswood Limited, 2018)

An anomaly (deviant objects, exceptions, peculiar objects) is an important concept of the analysis. The volume and velocity of the data within many systems makes it difficult to detect and process anomalies for Big Data ...
5G enabled technologies for smart education

Dake D.K.; Ofosu B.A. (Science and Information Organization, 2019)

5G technology use cases depicts the prospects of 5G network model to revolutionize Industry and Education is not an exception. The 5G model in general is made up of three main blocks: Enhanced Mobile Broadband, Massive ...
Fine-grained affect detection in learners� generated content using machine learning

Kolog E.A.; Devine S.N.O.; Ansong-Gyimah K.; Agjei R.O. (Springer New York LLC, 2019)

Learners� adaptation to academic trajectory is shaped by several influencing factors that ought to be considered while attempting to design an intervention towards improving academic performance. Emotion is one factor that ...
Online Learning Engagement and Satisfaction of First Year Undergraduate Students in a Blended Course

Gyimah E. (Institute of Electrical and Electronics Engineers Inc., 2019)

The adoption of blended learning as an innovative approach to teaching and learning in higher education has increased in today's 21st century classroom. And with the diversity of learners and their different learning styles, ...
Students' perceptions and continuous intention to use elearning systems: The case of google classroom

Ansong-Gyimah K. (Kassel University Press GmbH, 2020)

Higher institutions are steadily advancing in facilitating teaching and learning on e-learning systems. Google Classroom is a very popular e-learning system that is been adopted by many African universities. Yet, compared ...
Predicting elderly patient behaviour in rural healthcare using machine learning

Appiah P.; Edoh T.O.; Degila J. (CEUR-WS, 2020)

The digitization of modern health care data in a rural community has produced a vast amount of patient data stored in health care record systems. Together with the rise of computing power this data could produce effective ...
A review of algorithms and techniques for image-based recognition and inference in mobile robotic systems

Tawiah T.A.-Q. (SAGE Publications Inc., 2020)

Autonomous vehicles include driverless, self-driving and robotic cars, and other platforms capable of sensing and interacting with its environment and navigating without human help. On the other hand, semiautonomous vehicles ...
Influence of coconut fibres and lime on the properties of soil-cement mortar

Danso H.; Manu D. (Elsevier Ltd, 2020)

Stabilisation of earth-based materials continues to gain attention among researchers in the field of construction. This study investigates the influence of coconut fibres and lime on the properties of soil-cement mortar. ...
Pre-service teachers� intention to use learning management system: an integration of UTAUT and TAM

Buabeng-Andoh C.; Baah C. (Emerald Group Holdings Ltd., 2020)

Purpose: This paper aims to develop and test a research model to explore the factors that influence pre-service teachers� intention to use learning management system (LMS). Design/methodology/approach: A cross-section study ...
A multi-kernel method of measuring adaptive similarity for spectral clustering

Monney A.; Zhan Y.; Jiang Z.; Benuwa B.-B. (Elsevier Ltd, 2020)

Accurate representation of similarities between data points is an important determinant in the success of many clustering approaches. Previous studies have shown that kernel methods are effective in this representation. ...
Improved Botnet Attack Detection Using Principal Component Analysis and Ensemble Voting Algorithm

Oppong S.O.; Baah E.K.; Agbeko M.; Terkper J.N. (Institute of Electrical and Electronics Engineers Inc., 2021)

In recent times especially in the field of cloud computing, one of the most radical forms and threatening key issue of cyber-attacks has to do with botnets. Botnets with their flexible and dynamic nature together with a ...
Development of a Machine Learning Model for Detecting and Classifying Ransomware

Asaju C.B.; Otoo-Arthur D.; Orah R.O.; Sekyi-Dadson F. (Institute of Electrical and Electronics Engineers Inc., 2021)

The dynamic concept of technology has caused unprecedented technological and socio-economic development in everyday human activities. The fact is that there is an increasing number of digital attacks in digital kidnapping, ...
Medicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper Review

Oppong S.O.; Twum F.; Hayfron-Acquah J.B.; Missah Y.M. (Science Publications, 2021)

Computer-aided identification of plants is a branch of machine learning that has become more recognized recently and proves itself as a vital tool in numerous sectors including pharmacological science, forestry and ...
Hybrid Approach to Medicinal Plant Leaf Image Enhancement Using Contrast Limited Adaptive Histogram Equalization and Homomorphic Filter

Oppong S.O.; Twum F.; Hayfron-Acquah J.B.; Missah Y.M. (Institute of Electrical and Electronics Engineers Inc., 2021)

Image pre-processing methods are intended to enhance some image features important for further processing including edge detection or object recognition. Preprocessing is very crucial in image processing applications for ...
Sustainable teacher training via distance education: The effect of study centers, gender and economic demographics on academic performance

Zhang H.; Apeanti W.O.; Georgescu P.; Harvim P.; Lu D.; Li T.; Zhang B. (MDPI, 2021)

We examine the effectiveness and sustainability of the distance teacher education program established by the University of Education, Winneba, Ghana, by investigating the differences in the academic performance of students ...
A random selection based substitution-box structure dataset for cryptology applications

Ibrahim H.; Ozkaynak F. (Institute of Electrical and Electronics Engineers Inc., 2021)

The cryptology science has gradually gained importance with our digitalized lives. Ensuring the security of data transmitted, processed and stored across digital channels is a major challenge. One of the frequently used ...
The stability analysis of a double-x queuing network occurring in the banking sector

Zhang H.; Akuamoah S.W.; Apeanti W.O.; Harvim P.; Yaro D.; Georgescu P. (MDPI AG, 2021)

We model a common teller-customer interaction occurring in the Ghanaian banking sector via a Double-X queuing network consisting of three single servers with infinite-capacity buffers. The servers are assumed to face ...

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