技术人员及其学习方式、偏好与形式推理的认知过程

L. Reynoso, Eduardo Grosclaude, Laura Sánchez, Mabel Álvarez
{"title":"技术人员及其学习方式、偏好与形式推理的认知过程","authors":"L. Reynoso, Eduardo Grosclaude, Laura Sánchez, Mabel Álvarez","doi":"10.1109/ICCI-CC.2013.6622225","DOIUrl":null,"url":null,"abstract":"During the last seven years several Argentinian national universities have offered (as part of their academic studies and programs) different undergraduate degrees under the denomination of technical degrees. The personal characteristics of their students are radically different from the traditional academic offer. Students learn by practicing and they comprehend information best by actively doing something with the information. We ran an experiment with students of a technical degree of web development in a course of Programming Introduction using Python. Preliminary findings revealed that their learning styles are mainly active and visual, and learners who are more verbal or have stronger concrete experience obtained higher scores in their tests. They perceive that inductive tasks are easier than deductive and abductive tasks. We also found that those subjects who are more efficient in solving formal inference tasks obtained higher qualifications in their exams. The findings can be useful not only for didactic transposition in teaching courses which take into account the balance of the students' preference but also to develop new instructional methods and software which focus on the cognitive preferences and cognitive process of technicians.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Technicians and their learning styles preferences and cognitive processes of formal inferences\",\"authors\":\"L. Reynoso, Eduardo Grosclaude, Laura Sánchez, Mabel Álvarez\",\"doi\":\"10.1109/ICCI-CC.2013.6622225\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During the last seven years several Argentinian national universities have offered (as part of their academic studies and programs) different undergraduate degrees under the denomination of technical degrees. The personal characteristics of their students are radically different from the traditional academic offer. Students learn by practicing and they comprehend information best by actively doing something with the information. We ran an experiment with students of a technical degree of web development in a course of Programming Introduction using Python. Preliminary findings revealed that their learning styles are mainly active and visual, and learners who are more verbal or have stronger concrete experience obtained higher scores in their tests. They perceive that inductive tasks are easier than deductive and abductive tasks. We also found that those subjects who are more efficient in solving formal inference tasks obtained higher qualifications in their exams. The findings can be useful not only for didactic transposition in teaching courses which take into account the balance of the students' preference but also to develop new instructional methods and software which focus on the cognitive preferences and cognitive process of technicians.\",\"PeriodicalId\":130244,\"journal\":{\"name\":\"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCI-CC.2013.6622225\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCI-CC.2013.6622225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在过去七年中,阿根廷几所国立大学(作为其学术研究和课程的一部分)在技术学位的名义下提供了不同的本科学位。他们的学生的个人特征与传统的学术课程截然不同。学生通过练习来学习,他们通过积极地用信息做一些事情来最好地理解信息。我们在《Python编程导论》课程中对web开发专业的学生进行了一个实验。初步研究结果显示,他们的学习方式主要是主动的和视觉的,语言能力更强或具体经验更强的学习者在测试中得分更高。他们认为归纳任务比演绎和溯因任务更容易。我们还发现,那些在解决形式推理任务中更有效的受试者在考试中获得了更高的资格。这一发现不仅有助于在教学过程中考虑到学生偏好的平衡,而且有助于开发新的教学方法和软件,以关注技术人员的认知偏好和认知过程。
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
Technicians and their learning styles preferences and cognitive processes of formal inferences
During the last seven years several Argentinian national universities have offered (as part of their academic studies and programs) different undergraduate degrees under the denomination of technical degrees. The personal characteristics of their students are radically different from the traditional academic offer. Students learn by practicing and they comprehend information best by actively doing something with the information. We ran an experiment with students of a technical degree of web development in a course of Programming Introduction using Python. Preliminary findings revealed that their learning styles are mainly active and visual, and learners who are more verbal or have stronger concrete experience obtained higher scores in their tests. They perceive that inductive tasks are easier than deductive and abductive tasks. We also found that those subjects who are more efficient in solving formal inference tasks obtained higher qualifications in their exams. The findings can be useful not only for didactic transposition in teaching courses which take into account the balance of the students' preference but also to develop new instructional methods and software which focus on the cognitive preferences and cognitive process of technicians.
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
Ordering: A reliable qualitative information for the alignment of sketch and metric maps Visual words sequence alignment for image classification Survey of measures for the structural dimension of ontologies An emotional regulation model with memories for virtual agents Visual words selection based on class separation measures
×
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