2022 4th International Workshop on Artificial Intelligence and Education (WAIE)最新文献_第2页

Progressive Project-Based Learning for the Sustainable Development of Product Design Competences 产品设计能力可持续发展的渐进式项目学习

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00026

Shuang Lin, Zhengtang Tan

{"title":"Progressive Project-Based Learning for the Sustainable Development of Product Design Competences","authors":"Shuang Lin, Zhengtang Tan","doi":"10.1109/WAIE57417.2022.00026","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00026","url":null,"abstract":"Product design is a compound knowledge creation that integrates knowledge from multiple disciplines and is a process of mutual transformation between tacit knowledge and explicit knowledge. In order to solve the connection between static explicit knowledge and dynamic tacit knowledge in product design, as well as the progressive dynamic creation of knowledge, progressive projects are introduced into the course of product design, and students' learning experience are tracked since their sophomore year. Based on the SECI model, this paper explores the embedding of the introduction of competition projects and enterprise projects into class, as well as internship in enterprises and graduation project, into the socialized, externalized, combined and internalized external spiral, so as to form the internal and external double spiral model of product design knowledge creation, which not only improves the connection and transition between professional core courses, but also facilitates the formation of students' critical, creative and systematic thinking, the continuity of knowledge creation and the sustainable development of their learning ability.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130035252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advances Research in Speech Emotion Recognition Based on Multi-task Learning 基于多任务学习的语音情感识别研究进展

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00013

Yiping Ma, Ge Di, Wei Wang

引用次数: 0

Research and Application of Virtual Human Real-time Pose Reconstruction Based on Extended Reality 基于扩展现实的虚拟人体实时姿态重建研究与应用

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00012

Shengzhi Yuan, Yuan Zhou, Sen Shen, Jianguo Xu

引用次数: 0

Research on Teaching Data Construction Based On Intelligent Information System 基于智能信息系统的教学数据构建研究

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00009

Chenggong Zhai, Shiqiang Yuan, Hongsi Xu, Qing Wan, Xiande Fei, Liyong Zhou

引用次数: 0

Teaching Exploration of Project-Based Teaching Based on OBE-SC-CIPP Framework in Computer Practice Course 基于OBE-SC-CIPP框架的计算机实践课程项目化教学探索

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00018

Hui Du, Shiyin Chen, Haopeng Niu, Huan Wang

引用次数: 0

Applying Virtual Reality Scenery in C-STEAM Courses: A Case Study of “Lantern Festival” Virtual Venue 虚拟现实场景在C-STEAM课程中的应用——以“元宵节”虚拟会场为例

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00020

Siyuan Lyu, Zehui Zhan, Hao Zhan

引用次数: 0

A New Uncertain Reasoning Approach For Example Selection in the Example-Based Problem Solving Tutoring 基于实例的问题解决辅导中实例选择的不确定推理新方法

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00025

Peien Chen, Fang Yu, Xuan Yang, Qin Li

{"title":"A New Uncertain Reasoning Approach For Example Selection in the Example-Based Problem Solving Tutoring","authors":"Peien Chen, Fang Yu, Xuan Yang, Qin Li","doi":"10.1109/WAIE57417.2022.00025","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00025","url":null,"abstract":"This paper proposes EBT, an example-based tutoring tool which helps learners to work out their own solutions to specific problems. It provides adaptive suggestions on problem solving in the sense that it guides the user through the entire problem solving path based on their individual problem solving ability and performance along the problem solving path steps. On request of assistance on solving a problem, the EBT tool sifts out students with “similar” ability to the user in solving this problem and presents to him/her solutions of these students as examples in an order dependent on their similarity values. Example solutions are cut into slices. Appropriate slices are presented dependent on the stage of the problem solving path. At any stage of the path the user may choose to accept assistance or try to give an answer on his/her own. The tool is built within a first-order reasoning system with an uncertain reasoning function. The problem solving abilities of students are carefully analyzed on the basis of facts and rules in database. A detailed description of the EBT tool, including its model and the deduction process, as well as its implementation using the Haskell language, a leading functional programming language, is given.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116225365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning based Big Data Analysis for Tourism Management Professional Ability Demand 基于机器学习的旅游管理专业能力需求大数据分析

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00017

L. Yin, Kun Yang

引用次数: 0

Should Physical Education be Taught Online Post Covid-19? 新冠肺炎疫情后，体育应该在线教学吗?

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00023

T. Le, Thao-Phuong-Thi Trinh

{"title":"Should Physical Education be Taught Online Post Covid-19?","authors":"T. Le, Thao-Phuong-Thi Trinh","doi":"10.1109/WAIE57417.2022.00023","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00023","url":null,"abstract":"The purpose of this study is to collect students' opinions at a vocational college in Vietnam and find out students' preferences about online learning which was an alternative method as a consequence of the COVID-19 pandemic. This shift in education from traditional classroom learning to online learning at nearly all levels of education in Vietnam can be considered as the biggest teaching method change to date. As online learning has become more popular in Vietnam due to the COVID-19 pandemic, research is needed to understand student experiences and most importantly reveal views on students' online learning preferences. This study is designed to understand the views, challenges and attitudes about online learning being carried out in a vocational college with simple descriptive statistics research method. Data were collected from 140 students via an online survey system. The survey results show that students face many challenges in terms of networking, interaction between lecturers and students as well as limited direct contact with friends and the percentage of students who do not like online learning is rather high. However, according to the students in this survey, online learning provides many advantages in terms of increasing students' autonomy as well as increasing the number of tech-savvy students.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132544201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enlightenment and Research on the Application of Big Data in the Joint Operations of the U.S. Military to the Talent Training of Colleges and Universities in China 美军联合作战大数据应用对中国高校人才培养的启示与研究

2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00015

Zhanbin Wang, Guangzhi Dong, Haidi Sun

{"title":"Enlightenment and Research on the Application of Big Data in the Joint Operations of the U.S. Military to the Talent Training of Colleges and Universities in China","authors":"Zhanbin Wang, Guangzhi Dong, Haidi Sun","doi":"10.1109/WAIE57417.2022.00015","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00015","url":null,"abstract":"With the arrival of the information age, big data technology is booming, bringing reform and innovation to all walks of life. The talent training system of colleges and universities in China is relatively traditional. The students' learning in class is poorly matched with the social needs after graduation, which cannot meet the social needs for higher talents, resulting in a waste of resources. Starting with the application of big data in joint operations by the U.S. military, this paper explores a new path for talent training in Colleges and universities in China. This paper uses big data technology to analyze social needs, clarify students' characteristics, determine key objects, calculate the matching degree, and conduct in-depth research on the selection of monitoring and evaluation, process optimization and management decision-making methods with systematic ideas. At last, this paper improves the matching degree between society and colleges and universities, Solve the problem of resource waste from the root.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133989917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0