A Deep Learning Tool Using Teaching Learning-Based Optimization for Supporting Smart Learning Environment

Autor:	Saisumpan Sooncharoen, Pupong Pongcharoen, Thatchai Thepphakorn
Rok vydání:	2020
Předmět:	Multimedia Traditional learning business.industry Computer science Deep learning Scheduling (production processes) Computational intelligence computer.software_genre Blended learning Smart learning Artificial intelligence Teaching learning business Metaheuristic computer
Zdroj:	Blended Learning. Education in a Smart Learning Environment ISBN: 9783030519674 ICBL
DOI:	10.1007/978-3-030-51968-1_32
Popis:	Since blended learning has become one of the promising approaches to teaching and learning, the integration of traditional learning with novel innovations should be taken into account. Novel innovations can raise the level of smart learning environments as well as the construction of wisdom classrooms. There are many ways to create these innovations. One of those is to apply the deep learning tool for teaching and learning activities, that can offer the learners to have profound and thorough knowledge experience. This work proposes a novel deep learning tool, which can support teaching and learning activities especially in a topic of scheduling. A computational intelligence algorithm called Teaching Learning-based Optimization (TLBO) was embedded within the tool for solving production scheduling problem. TLBO is a nature-inspired metaheuristic algorithm. It mimics the influential effect of teacher on learners or among learners. The tool was developed and tested upon four case studies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::af3469a20ddf33d6bb6652a2d7aec17b https://doi.org/10.1007/978-3-030-51968-1_32 Zobrazit plný text záznamu