制定问题智力的培训计划和评估方法

Fumihito Ikeda
{"title":"制定问题智力的培训计划和评估方法","authors":"Fumihito Ikeda","doi":"10.21820/23987073.2022.5.31","DOIUrl":null,"url":null,"abstract":"Asking questions is key to advancing knowledge and asking the creative questions is especially important. Being able to properly frame and focus on the creative questions is an important skill but this isn’t something that is taught or evaluated within educational systems. Professor\n Fumihito Ikeda, Brain Science Research and Education Center, Institution for the Advancement of Higher Education, Hokkaido University, Japan, believes that nurturing children’s development of creative questioning skills at school would be beneficial for the leaders of tomorrow. He and\n his team are developing test questions and training programmes for schools that generate questions focused on three types of logical reasoning: inductive, deductive and abductive. Ikeda’s goal is to develop and train mainly primary and high school students in question-intelligence. A\n test question using the three types of reasoning was created and tried on around 200 high school students. The researchers utilised, a deep neural network (DNN), a form of machine learning, to assist in the automatic classification and evaluation of questions.Ikeda plans to create an inquiry\n learning programme that will improve the quality of scientific questions while asking different types of logic in order to collect more appropriate questions for DNN to learn. He will use his partnerships with the Japan Society for Science Education and the Japan Creativity Society to roll\n these programmes out to students at educational institutions.","PeriodicalId":88895,"journal":{"name":"IMPACT magazine","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of training programs and evaluation methods for question intelligence\",\"authors\":\"Fumihito Ikeda\",\"doi\":\"10.21820/23987073.2022.5.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Asking questions is key to advancing knowledge and asking the creative questions is especially important. Being able to properly frame and focus on the creative questions is an important skill but this isn’t something that is taught or evaluated within educational systems. Professor\\n Fumihito Ikeda, Brain Science Research and Education Center, Institution for the Advancement of Higher Education, Hokkaido University, Japan, believes that nurturing children’s development of creative questioning skills at school would be beneficial for the leaders of tomorrow. He and\\n his team are developing test questions and training programmes for schools that generate questions focused on three types of logical reasoning: inductive, deductive and abductive. Ikeda’s goal is to develop and train mainly primary and high school students in question-intelligence. A\\n test question using the three types of reasoning was created and tried on around 200 high school students. The researchers utilised, a deep neural network (DNN), a form of machine learning, to assist in the automatic classification and evaluation of questions.Ikeda plans to create an inquiry\\n learning programme that will improve the quality of scientific questions while asking different types of logic in order to collect more appropriate questions for DNN to learn. He will use his partnerships with the Japan Society for Science Education and the Japan Creativity Society to roll\\n these programmes out to students at educational institutions.\",\"PeriodicalId\":88895,\"journal\":{\"name\":\"IMPACT magazine\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IMPACT magazine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21820/23987073.2022.5.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IMPACT magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21820/23987073.2022.5.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

提出问题是提升知识的关键,提出创造性的问题尤其重要。能够正确地构建并专注于创造性问题是一项重要的技能,但这不是教育系统中教授或评估的东西。日本北海道大学高等教育发展研究所脑科学研究与教育中心的池田文仁教授认为,在学校培养儿童创造性提问技能的发展将有利于未来的领导者。他和他的团队正在为学校开发测试问题和培训项目,这些问题集中于三种类型的逻辑推理:归纳、演绎和溯因。池田的目标主要是开发和训练中小学生的问题智能。研究人员设计了一个使用这三种推理方式的测试问题,并在大约200名高中生中进行了测试。研究人员利用深度神经网络(DNN),一种机器学习的形式,来协助问题的自动分类和评估。池田计划创建一个探究性学习程序,在提出不同类型逻辑的同时提高科学问题的质量,以便收集更合适的问题供DNN学习。他将利用与日本科学教育协会和日本创意协会的合作,向教育机构的学生推广这些项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Development of training programs and evaluation methods for question intelligence
Asking questions is key to advancing knowledge and asking the creative questions is especially important. Being able to properly frame and focus on the creative questions is an important skill but this isn’t something that is taught or evaluated within educational systems. Professor Fumihito Ikeda, Brain Science Research and Education Center, Institution for the Advancement of Higher Education, Hokkaido University, Japan, believes that nurturing children’s development of creative questioning skills at school would be beneficial for the leaders of tomorrow. He and his team are developing test questions and training programmes for schools that generate questions focused on three types of logical reasoning: inductive, deductive and abductive. Ikeda’s goal is to develop and train mainly primary and high school students in question-intelligence. A test question using the three types of reasoning was created and tried on around 200 high school students. The researchers utilised, a deep neural network (DNN), a form of machine learning, to assist in the automatic classification and evaluation of questions.Ikeda plans to create an inquiry learning programme that will improve the quality of scientific questions while asking different types of logic in order to collect more appropriate questions for DNN to learn. He will use his partnerships with the Japan Society for Science Education and the Japan Creativity Society to roll these programmes out to students at educational institutions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Ongoing collaborative project for building a symbiotic society with dementia: the analysis of Alzheimerâ–™s pathogenic changes by 'ageing' of disease-relevant proteins. Building a versatile medical test system in a pandemic Examining the role of forensic nursing for the needs of bereaved family care and the nursing record system Exploring educational program for specialisation of the primary care nursing role Establishing a predictive model for unsafe driving in the elderly using artificial intelligence and elucidating the neural basis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1