Mathematical Modeling and Cognitive Computing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: closed (1 October 2023) | Viewed by 2209
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue on mathematical modeling and cognitive computing seeks research on mathematical modeling and cognitive enhancement via human–computer interaction (adaptive e-learning technologies). In most countries, cognitive enhancement has been characterized as improving or augmenting information processing (computational cognition) via adaptive electronic learning (e-learning) systems/technologies or sensor networks (used interchangeably in the current study) (The Royal Society, 2011). The current call is comparatively motivated by the failure of digital technologies in cognitive enhancement and implementation and modeling processes or lack of adoption regarding adaptive e-learning technologies as well as sensor networks for learning and as compared to other fields. We are currently seeking empirical and theoretical research on subfields such as, but not limited to, mathematics and computational cognition, STEM cognition, cognitive computing and modeling, STEM cognitive enhancement, human–computer interaction, mobile computing (m-learning or e-learning), AI in digital education, machine learning, and digital technology applications (Sketchpad, GIS, SmartPLS, MATLAB, Geogebra, Blockchain, JAWS, VR, AR, etc.).
Thus, the current issue seeks to use transdisciplinary research to primarily focus on STEM cognitive enhancement with a focus on mathematical modeling and cognitive computing—in order words, computational cognition and decision making. Unlike existing research, this issue seeks to examine mathematics/STEM modeling and connections linking pattern recognition, spatial visualization/perception, and information processing to apply and enhance computational decision making and processes through 4IR technologies (i.e., AI, Blockchain, MR, VR, AR, Geogebra, and GIS).
Prof. Dr. Anass Bayaga
Guest Editor
Manuscript Submission Information
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Keywords
- STEM cognition
- AI in digital education
- digital technology applications
- cognitive computing and modeling
