{"title":"Augmented Intelligence Coaching System","authors":"Sajeewan Pratsri, P. Nilsook, P. Wannapiroon","doi":"10.1109/RI2C51727.2021.9559817","DOIUrl":null,"url":null,"abstract":"This research is the study and development of an augmented intelligence system for higher education students. Augmented intelligence is an intelligent system driven by feedback, self-learning, and self-assuring. An augmented intelligence system facilitates the practitioner's self-learning through questioning, active listening, and appropriate challenges. The learning environment has five main components: 1) the learner section, 2) the content section, 3) the teaching format section, 4) the learner analysis section, and 5) the user interface. Using the system appropriately will support learning management easily, conveniently, and quickly. Learners can manipulate their learning activities at any time and anywhere with access to an internet signal. The system will consist of four components: a coaching management system consisting of 1) Setting the topic 2) Questions, 3) Act & Check, and 4) Commitment. The learners can choose a learning style according to their needs. Moreover, there is a test in each learning unit to assess and determine the level of ability of the learners. The options to help learners understand the content of each lesson are also provided.","PeriodicalId":422981,"journal":{"name":"2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RI2C51727.2021.9559817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This research is the study and development of an augmented intelligence system for higher education students. Augmented intelligence is an intelligent system driven by feedback, self-learning, and self-assuring. An augmented intelligence system facilitates the practitioner's self-learning through questioning, active listening, and appropriate challenges. The learning environment has five main components: 1) the learner section, 2) the content section, 3) the teaching format section, 4) the learner analysis section, and 5) the user interface. Using the system appropriately will support learning management easily, conveniently, and quickly. Learners can manipulate their learning activities at any time and anywhere with access to an internet signal. The system will consist of four components: a coaching management system consisting of 1) Setting the topic 2) Questions, 3) Act & Check, and 4) Commitment. The learners can choose a learning style according to their needs. Moreover, there is a test in each learning unit to assess and determine the level of ability of the learners. The options to help learners understand the content of each lesson are also provided.