You are in:Home/Publications/Ahad Alloqmani, Omimah Alsaedi, Nadia Bahatheg, Reem Alnanih, and Lamiaa Elrefaei, "Design Principles-Based Interactive Learning Tool for Solving Nonlinear Equations", Computer Systems Science & Engineering, vol: 40, No.3, pp. 1023-1042, 2022. doi:10.32604/csse.2022.019704

Prof. lamiaa Elrefaei :: Publications:

Title:
Ahad Alloqmani, Omimah Alsaedi, Nadia Bahatheg, Reem Alnanih, and Lamiaa Elrefaei, "Design Principles-Based Interactive Learning Tool for Solving Nonlinear Equations", Computer Systems Science & Engineering, vol: 40, No.3, pp. 1023-1042, 2022. doi:10.32604/csse.2022.019704
Authors: Ahad Alloqmani, Omimah Alsaedi, Nadia Bahatheg, Reem Alnanih, and Lamiaa Elrefaei
Year: 2022
Keywords: Not Available
Journal: Computer Systems Science & Engineering
Volume: 40
Issue: 3
Pages: 1023-1042
Publisher: Tech Science Press
Local/International: International
Paper Link:
Full paper lamiaa Elrefaei_TSP_CSSE_44579.pdf
Supplementary materials Not Available
Abstract:

Interactive learning tools can facilitate the learning process and increase student engagement, especially tools such as computer programs that are designed for human-computer interaction. Thus, this paper aims to help students learn five different methods for solving nonlinear equations using an interactive learning tool designed with common principles such as feedback, visibility, affordance, consistency, and constraints. It also compares these methods by the number of iterations and time required to display the result. This study helps students learn these methods using interactive learning tools instead of relying on traditional teaching methods. The tool is implemented using the MATLAB app and is evaluated through usability testing with two groups of users that are categorized by their level of experience with root-finding. Users with no knowledge in root-finding confirmed that they understood the root-finding concept when interacting with the designed tool. The positive results of the user evaluation showed that the tool can be recommended to other users.

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