发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
An Innovative Judge Monitoring Algorithm for the Online Defense 一种创新的在线辩护法官监控算法
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00010
D. Zou, Yangzhen Zhao
{"title":"An Innovative Judge Monitoring Algorithm for the Online Defense","authors":"D. Zou, Yangzhen Zhao","doi":"10.1109/WAIE57417.2022.00010","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00010","url":null,"abstract":"Since the outbreak of COVID-19, teaching and learning activities have gradually shifted online. In addition to traditional teaching, the student defense, thesis proposal, interim inspection, admission and other defense processes are also online. Online teaching and online assessment methods are facing challenges in student engagement. At the same time, for teaching executors (teachers), there are also participation and emotional initiative problems. Especially in the defense process, it is not easy to adequately monitor the teacher evaluation process because of the use of secret ballots. In this paper, we propose a defense monitoring algorithm that analyzes the working status of the judges from the defense score data given by the judges in order to identify judges who are not working seriously and remove their scores. A large amount of measured and simulated data is available to justify the algorithm.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"321 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":"115281375","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
Design and Implementation of a Teaching Verbal Behavior Analysis Aid in Instructional Videos 教学视频教学言语行为分析辅助工具的设计与实现
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00008
Gang Zhao, Lijun Yang, Jiaojiao Li, J. Chu, Yu-Heng Qi
{"title":"Design and Implementation of a Teaching Verbal Behavior Analysis Aid in Instructional Videos","authors":"Gang Zhao, Lijun Yang, Jiaojiao Li, J. Chu, Yu-Heng Qi","doi":"10.1109/WAIE57417.2022.00008","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00008","url":null,"abstract":"With the rapid development of artificial intelligence technology and its deep integration with education, the use of intelligent means to analyze and study teaching behaviors has become a research hotspot. Teaching behavior can be divided into verbal behavior and non-verbal behavior, among which verbal behavior is the main way of classroom teacher-student interaction, accounting for about 80% of all teaching behaviors. At present, teaching researchers mainly use manual annotation to code and analyze teaching verbal behaviors, which has the problems of low efficiency and individual subjectivity, and it is difficult to collect a large amount of teaching verbal behavior data to analyze teaching patterns. This paper designs and implements a teaching verbal behavior analysis tool using teaching verbal behavior recognition algorithm. It provides the functions of speech transcription of teaching videos, automatic recognition and analysis of teaching verbal behaviors, and analysis of teaching verbal contents, with a view to providing assistance to teaching researchers in analyzing teaching verbal behaviors in instructional videos by using intelligent technology.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"17 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":"121124022","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
Reviewers: WAIE 2022 审稿人:WAIE 2022
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/waie57417.2022.00007
{"title":"Reviewers: WAIE 2022","authors":"","doi":"10.1109/waie57417.2022.00007","DOIUrl":"https://doi.org/10.1109/waie57417.2022.00007","url":null,"abstract":"","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"50 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":"116810043","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
Color-gameplay, global-local processing tradeoffs: Towards personalized/generative HCI playfulness 色彩玩法、全局-局部处理权衡:走向个性化/生成式HCI可玩性
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00011
Chien-Sing Lee, Wui-Lee Kok
{"title":"Color-gameplay, global-local processing tradeoffs: Towards personalized/generative HCI playfulness","authors":"Chien-Sing Lee, Wui-Lee Kok","doi":"10.1109/WAIE57417.2022.00011","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00011","url":null,"abstract":"Cognitive aging is inherent to everyone. Brain-training games are found to help seniors' attention span, processing speed, logical reasoning, and spatial ability. Hence, this study presents QuizMap, aimed at developing games, which are fun, and adaptive/generative, for both young and old. This paper is analogically grounded in “shapeless” semantics and the ARCS motivation model. We hypothesize that with architectural/ design patterns, and structure/behaviour/function as pivot, color coding-gameplay refactoring can result in dynamically-generated computer playfulness, and enhance attention, memory, problem-solving, UX. In QuizMap, seniors can switch between a digital matching card game and a digital Monopoly game, with physical exercise suggestions in chance cards. User feedback highlights the games' perceived strengths/weaknesses. We infer that reducing color via color coding may result in attention/relevance-gameplay tradeoffs. This reinterprets (dynamic) salience in global-local attention/memory/processing, and thus, “shapeless” semantics. Moreover, to seniors, pragmatic factors, influence attractiveness/ UX on average, 6.93% more than hedonistic factors.","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":"129317996","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: 1
Research on the Training Mode of Collaborative Innovation Talents under the Cloud Platform Environment 云平台环境下协同创新人才培养模式研究
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00014
Xinghui Xiao, Bo Li
{"title":"Research on the Training Mode of Collaborative Innovation Talents under the Cloud Platform Environment","authors":"Xinghui Xiao, Bo Li","doi":"10.1109/WAIE57417.2022.00014","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00014","url":null,"abstract":"This research discusses the innovative talent training mode in which teachers, students and resources cooperate with each other in the “cloud platform” teaching environment. The construction mode of curriculum resources under the cloud platform has been constructed, the construction of “fragmentation” and “micro curriculum” of specific curriculum resources has been studied, various types of teaching resources suitable for mobile learning have been explored in depth, and a large number of “micro resources” have been created and released to the cloud platform, facilitating teachers and students to share learning resources; Through the cloud platform, real-time and non real-time teacher student interaction and student student communication are realized before, during and after class, forming a smart classroom teaching mode based on the cloud platform, realizing online micro class viewing before class, face-to-face discussion between teachers and students in class, online discussion, question answering and homework after class, and timely feedback, formative evaluation and peer mutual evaluation; At the same time, the mutual evaluation mechanism of teaching effect between students and teachers and the evaluation mechanism of resource utilization effect have been established, forming a scientific evaluation system of teaching effect.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"50 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":"123354888","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
Multi-Scaled Attentive Knowledge Tracing 多尺度关注知识追踪
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00027
J. Xiahou, Feifan Fan, Fan Lin, Shibo Feng
{"title":"Multi-Scaled Attentive Knowledge Tracing","authors":"J. Xiahou, Feifan Fan, Fan Lin, Shibo Feng","doi":"10.1109/WAIE57417.2022.00027","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00027","url":null,"abstract":"Learning is a dynamic, complex, and time-series process. Knowledge tracing (KT) aims to simulate learners' learning process by using learners' behavioral performance in past learning activities. In recent years, self-attentive mechanisms have been widely used in KT model. The literature shows that attention-based KT models generally outperform traditional deep knowledge tracing models. In order to simulate the learning process of learners more effectively we propose a new multi-scale attentive knowledge tracing model for KT. Specifically, the model uses multi-scale multi-head attention to capture learner features at different time scales and use them to model learners' learning behaviors. We also use relative position encoding to maintain the consistency of location information across multiple scales of attention. Experiments on real datasets show that our model outperforms state-of-the-art KT methods.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"53 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":"121142492","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
MOOCs Learning Pathways Recommendation Based on Sequence Alignment 基于序列比对的mooc学习路径推荐
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00024
Jinze Liu, Fengtao Xiao, Luobei Kuang, Yulong Wang, Xiao Li, Shuizhou Ke
{"title":"MOOCs Learning Pathways Recommendation Based on Sequence Alignment","authors":"Jinze Liu, Fengtao Xiao, Luobei Kuang, Yulong Wang, Xiao Li, Shuizhou Ke","doi":"10.1109/WAIE57417.2022.00024","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00024","url":null,"abstract":"In MOOC education, users often have difficulty understanding courses due to insufficient prerequisite knowledge, which makes it easy to give up learning. Therefore, when recommending MOOCs to users, they also want to be told in what order these courses should be taken. However, the learning pathways of courses generally need to be determined by professionals, which is lacking in online education such as MOOC. In this paper, we propose a MOOCs learning pathways recommendation method based on sequence alignment, which runs without any prior knowledge from professionals. The method analyzes historical behavior data of users in the learning platform, obtains the common choice of multiple users on the order of course learning through sequence alignment, and constructs a graph of MOOCs learning pathways. We verify that our work is useful by conducting experiments based on real data from an online learning platform, and the results show that the learning pathways recommended by our method are in line with experts' teaching experience.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"104 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":"132791360","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
Committee: WAIE 2022 委员会:wai2022
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/waie57417.2022.00006
{"title":"Committee: WAIE 2022","authors":"","doi":"10.1109/waie57417.2022.00006","DOIUrl":"https://doi.org/10.1109/waie57417.2022.00006","url":null,"abstract":"","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"24 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":"130342741","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
Preface: WAIE 2022 前言:wai2022
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/waie57417.2022.00005
{"title":"Preface: WAIE 2022","authors":"","doi":"10.1109/waie57417.2022.00005","DOIUrl":"https://doi.org/10.1109/waie57417.2022.00005","url":null,"abstract":"","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"60 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":"123000416","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
Using AI to Predict Caregiver Ability to Self-Manage Chronic Illness When Caring For Children With Special Health Care Needs 在照顾有特殊医疗需求的儿童时，使用人工智能预测护理人员自我管理慢性病的能力
2022 4th International Workshop on Artificial Intelligence and Education (WAIE) Pub Date : 2022-11-01 DOI: 10.1109/WAIE57417.2022.00016
J. Rayle, Timothy Hamilton, Priyanka Poosapati, Gulustan Dogan, Michele Mendes
{"title":"Using AI to Predict Caregiver Ability to Self-Manage Chronic Illness When Caring For Children With Special Health Care Needs","authors":"J. Rayle, Timothy Hamilton, Priyanka Poosapati, Gulustan Dogan, Michele Mendes","doi":"10.1109/WAIE57417.2022.00016","DOIUrl":"https://doi.org/10.1109/WAIE57417.2022.00016","url":null,"abstract":"Children with special health care needs, in most cases, can easily be treated with a combination of medication and parental care. However, the requirements involved can be pushed further when the parent caring for the child must also treat an illness while caring for their own illness. In many instances, this leads to an inability of the parent to be able to manage their own illness while also trying to manage their child's care. Through surveys given out, data was collected to analyze the correlation between both the severity of a child's chronic illness, the intrusiveness felt by a caregiver, and the impact those factors both have on the caregiver's management of their own chronic illness. Through various machine learning algorithms, it was found that there was a fair amount of accuracy when attempting to predict the overall intrusiveness of illness care for parents. However, the results show that the algorithms analyzed could accurately predict this parental intrusiveness of care within a small margin of error.","PeriodicalId":233972,"journal":{"name":"2022 4th International Workshop on Artificial Intelligence and Education (WAIE)","volume":"276 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":"117171943","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
下一页 尾页
0
×
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
请完成安全验证×
相关产品
×
本文献相关产品
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书