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Download full textJoshua Bumanlag; Adrian Angelo Abelarde – International Society for Technology, Education, and Science, 2024
This paper presents an improved Distributed Genetic Algorithm (DGA) that surpasses the classic genetic algorithm (GA) in terms of both efficiency and effectiveness when it comes to optimizing faculty scheduling systems. The proposed Differential Evolution Genetic Algorithm (DGA) combines DE with chaotic mapping and asynchronous communication to…
Descriptors: Algorithms, Faculty Workload, School Schedules, Computer Uses in Education
Direct linkRod D. Roscoe; Renu Balyan; Danielle S. McNamara; Michelle Banawan; Dean Schillinger – Grantee Submission, 2023
Modern communication between health care professionals and patients increasingly relies upon secure messages (SMs) exchanged through an electronic patient portal. Despite the convenience of secure messaging, challenges include gaps between physician and patient expertise along with the asynchronous nature of such communication. Importantly, less…
Descriptors: Readability, Physician Patient Relationship, Computer Mediated Communication, Asynchronous Communication
