Random walk generation and classification within an online learning platform
Joint Authors
Awdah, Suhayl
Auth, Thorsten
Musa, Afrah
Samarah, Anas
Source
The International Arab Journal of Information Technology
Issue
Vol. 19, Issue 3A (s) (31 May. 2022), pp.536-543, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2022-05-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Advancements in technology have introduced new approaches in teaching and learning processes.
Machine learning algorithms analyse and recognize patterns of data and subsequently become able to make reasonable decisions.
In playing complex games, such as chess and go, machine learning algorithms have even already outperformed humans.
This paper presents a software platform ‘DiscimusRW’ that introduces a novel approach for teaching, learning, and researching random walk theory and getting hands-on experience in machine learning.
Random walk theory represents the foundations of many fundamental processes, including the diffusion of substances in solvents, epidemics’ spread, and financial markets’ development.
‘DiscimusRW’ is composed of three main features: 1.
Random walk generation using mathematical Equations, 2.
Random walk classification using supervised learning algorithms, and 3.
Random walk visualization.
A few users who explored ‘DiscimusRW’ showed an interest and positive feedback that assured the experiential learning experience achieved using this software, which will therefore reinforce random walk teaching and learning.
American Psychological Association (APA)
Musa, Afrah& Auth, Thorsten& Samarah, Anas& Awdah, Suhayl. 2022. Random walk generation and classification within an online learning platform. The International Arab Journal of Information Technology،Vol. 19, no. 3A (s), pp.536-543.
https://search.emarefa.net/detail/BIM-1437137
Modern Language Association (MLA)
Musa, Afrah…[et al.]. Random walk generation and classification within an online learning platform. The International Arab Journal of Information Technology Vol. 19, no. 3A (Special issue) (2022), pp.536-543.
https://search.emarefa.net/detail/BIM-1437137
American Medical Association (AMA)
Musa, Afrah& Auth, Thorsten& Samarah, Anas& Awdah, Suhayl. Random walk generation and classification within an online learning platform. The International Arab Journal of Information Technology. 2022. Vol. 19, no. 3A (s), pp.536-543.
https://search.emarefa.net/detail/BIM-1437137
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 541-542
Record ID
BIM-1437137