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Proceedings of the Seventh ACM Conference on Learning @ Scale最新文献

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Demo of JARET: A.I. Powered Web App for Goal Review and Time Management JARET演示:用于目标回顾和时间管理的人工智能Web应用程序
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405954
Andrew Schwabe
{"title":"Demo of JARET: A.I. Powered Web App for Goal Review and Time Management","authors":"Andrew Schwabe","doi":"10.1145/3386527.3405954","DOIUrl":"https://doi.org/10.1145/3386527.3405954","url":null,"abstract":"This demo will present the implementation of an A.I. powered web application designed to assist students with creation of a homework and study schedule. The intent of this project is to use key principles from Self-Regulated Learning and Cognitive Load Theory to translate the large, abstract problem of \"creating a study and homework schedule from scratch\" into a structured, repeatable set of review tasks. The system then uses a constraint satisfaction AI agent to recommend a weekly schedule of activities that supports the student to achieve the specified goals.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"133 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86253190","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: 3
Building an Infrastructure for Computer Science Education Research and Practice at Scale 构建大规模计算机科学教育研究与实践的基础设施
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405936
Peter Brusilovsky, K. Koedinger, David A. Joyner, T. Price
{"title":"Building an Infrastructure for Computer Science Education Research and Practice at Scale","authors":"Peter Brusilovsky, K. Koedinger, David A. Joyner, T. Price","doi":"10.1145/3386527.3405936","DOIUrl":"https://doi.org/10.1145/3386527.3405936","url":null,"abstract":"The goal of this workshop is to bring together the existing community of researchers working on Infrastructure Design for Data-Intensive Research in Computer Science Education and a community of Learning at Scale researchers focused on Computer Science Education. While both communities share many similar goals and could greatly benefit from each other work, the interaction between the communities is small. We hope that the proposed workshop will be instrumental in bringing together like-minded researchers from different communities, establishing collaboration, and expanding the scope of infrastructure project to address critical scaling issues.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81022583","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: 6
Predicting Applicant Admission Status for Georgia Tech's Online Master's in Analytics Program 预测佐治亚理工学院在线分析硕士项目的申请人录取状况
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406735
S. Staudaher, Jeonghyun Lee, F. Soleimani
{"title":"Predicting Applicant Admission Status for Georgia Tech's Online Master's in Analytics Program","authors":"S. Staudaher, Jeonghyun Lee, F. Soleimani","doi":"10.1145/3386527.3406735","DOIUrl":"https://doi.org/10.1145/3386527.3406735","url":null,"abstract":"This work reports on progress made towards building an equitable model to predict the success of an applicant to Georgia Tech's Online Master's in Analytics program. As a first step, we have collected and processed data on 9,044 applications and have trained a predictive model with a ROC-AUC score of 0.81, which predicts whether an applicant would be admitted to the program. Our next steps will include using applicant data to model the successful completion of the Analytics program's three core courses, graduation, and finally job placement. In addition, we plan to expand our feature processing and incorporate techniques to ensure that our models do not discriminate based on demographic factors. In the long run, we hope that the results of this study can be used to improve the course contents, selection of offered courses, and prerequisite training, and even give guidance toward the selection of the applicants.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84016222","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: 3
A Quantitative Analysis of When Students Choose to Grade Questions on Computerized Exams with Multiple Attempts 学生在计算机化考试中选择多次打分的定量分析
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406740
Ashank Verma, Timothy Bretl, Matthew West, C. Zilles
{"title":"A Quantitative Analysis of When Students Choose to Grade Questions on Computerized Exams with Multiple Attempts","authors":"Ashank Verma, Timothy Bretl, Matthew West, C. Zilles","doi":"10.1145/3386527.3406740","DOIUrl":"https://doi.org/10.1145/3386527.3406740","url":null,"abstract":"In this paper, we study a computerized exam system that allows students to attempt the same question multiple times. This system permits students either to receive feedback on their submitted answer immediately or to defer the feedback and grade questions in bulk. An analysis of student behavior in three courses across two semesters found similar student behaviors across courses and student groups. We found that only a small minority of students used the deferred feedback option. A clustering analysis that considered both when students chose to receive feedback and either to immediately retry incorrect problems or to attempt other unfinished problems identified four main student strategies. These strategies were correlated to statistically significant differences in exam scores, but it was not clear if some strategies improved outcomes or if stronger students tended to prefer certain strategies.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90159857","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
BELT 带
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406727
Anish Khazane, Jia Mao, India Irish, Rocko Graziano, Thad Starner
{"title":"BELT","authors":"Anish Khazane, Jia Mao, India Irish, Rocko Graziano, Thad Starner","doi":"10.1145/3386527.3406727","DOIUrl":"https://doi.org/10.1145/3386527.3406727","url":null,"abstract":"As online educational programs scale, monitoring peer collaboration in platforms like BlueJeans for plagiarism becomes difficult. Recent studies indicate that students are less likely to cheat if presented with direct warning messages prior to engaging in online activities. In this work, we present Bluejeans codE Leak deTection (BELT), a system that monitors online BlueJeans meetings for shared code and sends timely warning messages to meeting participants. To test BELT's robustness as an online proctor, we evaluate its code-text disambiguation, code detection from images of varying quality, and code detection from videos of varying resolution. We conclude this work by pinpointing areas of improvement and briefly discuss possible extensions for future work.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89490634","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: 2
Where's the Learning in Education Crowdsourcing? 教育众包的学习在哪里?
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406734
Ha Nguyen, June Ahn, William Young, Fabio Campos
{"title":"Where's the Learning in Education Crowdsourcing?","authors":"Ha Nguyen, June Ahn, William Young, Fabio Campos","doi":"10.1145/3386527.3406734","DOIUrl":"https://doi.org/10.1145/3386527.3406734","url":null,"abstract":"Crowdsourcing has shown promise in education domains. For example, researchers have leveraged the wisdom of the crowd to process grading in MOOCs and develop learning resources. An untapped domain is harnessing the crowd to systematically process educational data in classrooms -- data that provide key instructional insights but take time to process, such as paper-based assessments. In this paper, we describe an experiment of a crowdsourcing task to effectively process classroom-based data and explore the potential of crowdsourcing as a learning opportunity for the crowdworkers. We discuss implications for designing crowdsourced assessment tasks to yield both high quality output and enriching learning experiences for those involved in the crowdsourcing task.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"104 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75987058","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: 3
Explanation Mining 解释矿业
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406738
Bhavya, Chengxiang Zhai
{"title":"Explanation Mining","authors":"Bhavya, Chengxiang Zhai","doi":"10.1145/3386527.3406738","DOIUrl":"https://doi.org/10.1145/3386527.3406738","url":null,"abstract":"Explanations are used to provide an understanding of a concept, procedure, or reasoning to others. Although explanations are present online ubiquitously within textbooks, discussion forums, and many more, there is no way to mine them automatically to assist learners in seeking an explanation. To address this problem, we propose the task of Explanation Mining. To mine explanations of educational concepts, we propose a baseline approach based on the Language Modeling approach of information retrieval. Preliminary results suggest that incorporating knowledge from a model trained on the ELI5 (Explain Like I'm Five) dataset in the form of a document prior helps increase the performance of a standard retrieval model. This is encouraging because our method requires minimal in-domain supervision, as a result, it can be deployed for multiple online courses. We also suggest some interesting future work in the computational analysis of explanations.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73251132","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
Global Learning @ Scale 全球学习@ Scale
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405956
David A. Joyner, M. Carlon, J. Cross, Eduardo Corpeño, Rocael Hernández, Oscar Rodas, Dhawal Shah, Manoel Cortes Mendez, T. Staubitz, José A. Ruipérez Valiente
{"title":"Global Learning @ Scale","authors":"David A. Joyner, M. Carlon, J. Cross, Eduardo Corpeño, Rocael Hernández, Oscar Rodas, Dhawal Shah, Manoel Cortes Mendez, T. Staubitz, José A. Ruipérez Valiente","doi":"10.1145/3386527.3405956","DOIUrl":"https://doi.org/10.1145/3386527.3405956","url":null,"abstract":"This workshop proposes specifically soliciting contributions and presentations from initiatives, programs, and platforms around the world. While many of these may already be presented at the full conference, we are also interested in more casual experience reports, case studies, and background presentations from individuals more closely acquainted with how learning at scale initiatives-including MOOCs, for-credit degree programs, informal learning environments, government initiatives, and so on-have unique needs and opportunities based on their local context. We refer to this as Global Learning @ Scale. For the purposes of this workshop, we take two views of Global Learning @ Scale.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86030365","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
Students' Achievement of Personalized Learning Objectives in MOOCs mooc中学生个性化学习目标的实现
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405918
Tobias Rohloff, Dominic Sauer, C. Meinel
{"title":"Students' Achievement of Personalized Learning Objectives in MOOCs","authors":"Tobias Rohloff, Dominic Sauer, C. Meinel","doi":"10.1145/3386527.3405918","DOIUrl":"https://doi.org/10.1145/3386527.3405918","url":null,"abstract":"Massive Open Online Courses (MOOCs) provide the opportunity to offer free and open education at scale. Thousands of students with different social and cultural backgrounds from all over the world can enroll for a course. This diverse audience comes with varying motivations and intentions from their personal or professional life. However, course instructors cannot offer individual support and guidance at this scale and therefore usually provide a one-size-fits-all approach. Students have to follow weekly-structured courses and their success is measured with the achievement of a certificate at the end. To better address the varying learning needs, technical support for goal-oriented and self-regulated learning is desired but very limited to date. Both learning strategies are proven to be key factors for students' achievement in large-scale online learning environments. Therefore, this paper presents a continuative study of personalized learning objectives in MOOCs to encourage goal-oriented and self-regulated learning. Based on the previously well-perceived acceptance and usefulness of the concept of personalized learning objectives, this study examines which learners select an objective and how successful they complete objectives. Concerning the learners' socio-demographic and geographical background, we could not identify any practical significant difference between students with selected learning objectives and the total course population. However, we have identified promising objective achievement rates, and we have observed a practical significant improvement of the certification rates comparing the total course population and students who selected an objective that included a graded certificate. This has also demonstrated a method for calculating more reasonable completion rates in MOOCs.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88348720","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: 7
Understanding the Implications of the Use of Intelligent Tutoring Systems in Driver Training 理解在驾驶员培训中使用智能辅导系统的含义
Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406756
Al-Ahad Ekram
{"title":"Understanding the Implications of the Use of Intelligent Tutoring Systems in Driver Training","authors":"Al-Ahad Ekram","doi":"10.1145/3386527.3406756","DOIUrl":"https://doi.org/10.1145/3386527.3406756","url":null,"abstract":"Effective driver education techniques can greatly benefit from the use of state-of-the-art technologies for driving training and tutoring in classroom environment. Such environment includes simulation systems that are designed based on the Intelligent Tutoring System concepts and framework. This research analyzed simulator data for both simulation and vehicle environments to identify factors for driver training guidelines. Based on the results of this study, one of the recommendations is that current ITS based driver training systems be calibrated to accurately measure the steering input which is found to be the most significant parameter influencing time headway (distances between simulated vehicles). The findings also support the modern intelligent tutoring system used at scale that leverages human feedback to improve their design.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88453544","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
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