{"title":"The Relation Among Gender, Language, and Posting Type in Online Chemistry Course Discussion Forums","authors":"Genevieve M. Henricks, Michelle Perry, Suma Bhat","doi":"10.1145/3636555.3636867","DOIUrl":"https://doi.org/10.1145/3636555.3636867","url":null,"abstract":"","PeriodicalId":162301,"journal":{"name":"International Conference on Learning Analytics and Knowledge","volume":" 11","pages":"189-199"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140389753","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}
Ying Que, Tzi-Dong Jeremy Ng, Xiao Hu, Mitchell Kam Fai Mak, Peony Tsz Yan Yip
{"title":"Using Multimodal Learning Analytics to Examine Learners' Responses to Different Types of Background Music during Reading Comprehension","authors":"Ying Que, Tzi-Dong Jeremy Ng, Xiao Hu, Mitchell Kam Fai Mak, Peony Tsz Yan Yip","doi":"10.1145/3636555.3636854","DOIUrl":"https://doi.org/10.1145/3636555.3636854","url":null,"abstract":"","PeriodicalId":162301,"journal":{"name":"International Conference on Learning Analytics and Knowledge","volume":" 25","pages":"749-756"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140389983","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}
Katerina Mangaroska, Kristine Larssen, Andreas Amundsen, B. Vesin, Michail N. Giannakos
{"title":"Understanding engagement through game learning analytics and design elements: Insights from a word game case study","authors":"Katerina Mangaroska, Kristine Larssen, Andreas Amundsen, B. Vesin, Michail N. Giannakos","doi":"10.1145/3636555.3636885","DOIUrl":"https://doi.org/10.1145/3636555.3636885","url":null,"abstract":"","PeriodicalId":162301,"journal":{"name":"International Conference on Learning Analytics and Knowledge","volume":" 26","pages":"305-315"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140390026","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}
{"title":"Gaining Insights into Course Difficulty Variations Using Item Response Theory","authors":"Frederik Baucks, Robin Schmucker, Laurenz Wiskott","doi":"10.1145/3636555.3636902","DOIUrl":"https://doi.org/10.1145/3636555.3636902","url":null,"abstract":"Curriculum analytics (CA) studies curriculum structure and student data to ensure the quality of educational programs. To gain statistical robustness, most existing CA techniques rely on the assumption of time-invariant course difficulty, preventing them from capturing variations that might occur over time. However, ensuring low temporal variation in course difficulty is crucial to warrant fairness in treating individual student cohorts and consistency in degree outcomes. We introduce item response theory (IRT) as a CA methodology that enables us to address the open problem of monitoring course difficulty variations over time. We use statistical criteria to quantify the degree to which course performance data meets IRT’s theoretical assumptions and verify validity and reliability of IRT-based course difficulty estimates. Using data from 664 Computer Science and 1,355 Mechanical Engineering undergraduate students, we show how IRT can yield valuable CA insights: First, by revealing temporal variations in course difficulty over several years, we find that course difficulty has systematically shifted downward during the COVID-19 pandemic. Second, time-dependent course difficulty and cohort performance variations confound conventional course pass rate measures. We introduce IRT-adjusted pass rates as an alternative to account for these factors. Our findings affect policymakers, student advisors, accreditation, and course articulation.","PeriodicalId":162301,"journal":{"name":"International Conference on Learning Analytics and Knowledge","volume":" 3","pages":"450-461"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140390105","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}
Dorottya Demszky, Rose Wang, Sean Geraghty, Carol Yu
{"title":"Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform","authors":"Dorottya Demszky, Rose Wang, Sean Geraghty, Carol Yu","doi":"10.1145/3636555.3636924","DOIUrl":"https://doi.org/10.1145/3636555.3636924","url":null,"abstract":"Providing ample opportunities for students to express their thinking is pivotal to their learning of mathematical concepts. We introduce the Talk Meter, which provides in-the-moment automated feedback on student-teacher talk ratios. We conduct a randomized controlled trial on a virtual math tutoring platform (n=742 tutors) to evaluate the effectiveness of the Talk Meter at increasing student talk. In one treatment arm, we show the Talk Meter only to the tutor, while in the other arm we show it to both the student and the tutor. We find that the Talk Meter increases student talk ratios in both treatment conditions by 13-14%; this trend is driven by the tutor","PeriodicalId":162301,"journal":{"name":"International Conference on Learning Analytics and Knowledge","volume":" 19","pages":"632-644"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140390333","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}
Sarah Alcock, B. Rienties, M. Aristeidou, S. Mostéfaoui
{"title":"How do visualizations and automated personalized feedback engage professional learners in a Learning Analytics Dashboard?","authors":"Sarah Alcock, B. Rienties, M. Aristeidou, S. Mostéfaoui","doi":"10.1145/3636555.3636886","DOIUrl":"https://doi.org/10.1145/3636555.3636886","url":null,"abstract":"","PeriodicalId":162301,"journal":{"name":"International Conference on Learning Analytics and Knowledge","volume":" 12","pages":"316-325"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140390590","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}
Chelsea Chandler, Thomas Breideband, Jason G. Reitman, Marissa Chitwood, Jeffrey B. Bush, Amanda Howard, Sarah Leonhart, Peter W. Foltz, W. Penuel, Sidney K. D'Mello
{"title":"Computational Modeling of Collaborative Discourse to Enable Feedback and Reflection in Middle School Classrooms","authors":"Chelsea Chandler, Thomas Breideband, Jason G. Reitman, Marissa Chitwood, Jeffrey B. Bush, Amanda Howard, Sarah Leonhart, Peter W. Foltz, W. Penuel, Sidney K. D'Mello","doi":"10.1145/3636555.3636917","DOIUrl":"https://doi.org/10.1145/3636555.3636917","url":null,"abstract":"","PeriodicalId":162301,"journal":{"name":"International Conference on Learning Analytics and Knowledge","volume":" 4","pages":"576-586"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140390655","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}
{"title":"Measurement of Self-regulated Learning: Strategies for mapping trace data to learning processes and downstream analysis implications: 0000-0001-7672-4636","authors":"I. Osakwe","doi":"10.1145/3636555.3636915","DOIUrl":"https://doi.org/10.1145/3636555.3636915","url":null,"abstract":"","PeriodicalId":162301,"journal":{"name":"International Conference on Learning Analytics and Knowledge","volume":" 3","pages":"563-575"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140390656","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}