Proceedings of the 9th International Conference on Learning Analytics & Knowledge最新文献

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Topic Development to Support Revision Feedback 主题开发以支持修订反馈
Jovita M. Vytasek, Alexandra Patzak, P. Winne
{"title":"Topic Development to Support Revision Feedback","authors":"Jovita M. Vytasek, Alexandra Patzak, P. Winne","doi":"10.1145/3303772.3303816","DOIUrl":"https://doi.org/10.1145/3303772.3303816","url":null,"abstract":"Revision is important but challenging for novice writers, particularly in post-secondary education where opportunities for personalized feedback are limited. Inexperienced writers typically overlook revision; when they do revise, they focus on surface errors rather than global revisions that enhance meaning and coherence. Writing analytics can automate personalized prompts to guide revision. We use topic modelling LDA as grounds for an analytic to scaffold holistic revision at paragraph and essay levels. The analytic visualizes topic distribution and generates three types of prompts: Introduction, Paragraph and Conclusion. Feedback encourages revisions focusing on sequencing topics, expanding underdeveloped ideas, and making holistic revisions to improve clarity and coherence of paragraphs. Model feedback was evaluated using undergraduate student essays on various topics scored by human evaluators. Model accuracy was strong for all types of feedback. This opens new branches of research to explore generating personalized feedback at paragraph and essay levels.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124851998","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
Predicting Student Success in Communication Skills Learning Scenarios with Virtual Humans 用虚拟人预测学生在沟通技巧学习场景中的成功
Stephanie Carnell, Benjamin C. Lok, Melva T. James, Jonathan Su
{"title":"Predicting Student Success in Communication Skills Learning Scenarios with Virtual Humans","authors":"Stephanie Carnell, Benjamin C. Lok, Melva T. James, Jonathan Su","doi":"10.1145/3303772.3303828","DOIUrl":"https://doi.org/10.1145/3303772.3303828","url":null,"abstract":"Virtual humans are frequently used to help medical students practice communication skills. Here, we show that communication skills features drawn from the literature on best practices for doctor-patient communication can be used to predict student interviewers' success in a given domain skill. We also demonstrate the viability of Bayesian Rule Lists, an interpretable machine learning model, for this use case. Bayesian Rule Lists' predictive performance is comparable to that of other other commonly used algorithms, including decision trees. This suggests that Bayesian Rule Lists, which produce simple, human-readable trained binary classifiers, may be suitable for providing feedback for educational purposes.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131181761","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: 12
Different Types of Response-Based Feedback in Mathematics: The case of textual and symbolic messages 数学中不同类型的基于反应的反馈:以文本信息和符号信息为例
Tom Gal, A. Hershkovitz
{"title":"Different Types of Response-Based Feedback in Mathematics: The case of textual and symbolic messages","authors":"Tom Gal, A. Hershkovitz","doi":"10.1145/3303772.3303815","DOIUrl":"https://doi.org/10.1145/3303772.3303815","url":null,"abstract":"The current study compares textual and symbolic elaborated, response-based feedback in mathematics. We use a randomized experiment in Khan Academy to measure feedback effect in four different topics. Overall, we point out to the superiority of symbolic feedback.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132590018","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
DiAd: Domain Adaptation for Learning at Scale DiAd:大规模学习的领域适应
Ziheng Zeng, Snigdha Chaturvedi, S. Bhat, D. Roth
{"title":"DiAd: Domain Adaptation for Learning at Scale","authors":"Ziheng Zeng, Snigdha Chaturvedi, S. Bhat, D. Roth","doi":"10.1145/3303772.3303810","DOIUrl":"https://doi.org/10.1145/3303772.3303810","url":null,"abstract":"Massive online courses occupy an important place in the educational landscape of today. We study an approach to scale predictive analytic models derived from online course discussion fora--specifically that of confusion detection--onto other courses. The primary challenge here is the lack of labeled examples in a new course and this calls for unsupervised domain adaptation (DA). As a first step in exploring DA in the education domain, we propose a simple algorithm, DiAd, which adapts a classifier trained on a course with labeled data by selectively choosing instances from a new course (with no labeled data) that are most dissimilar to the course with labeled data and on which the classifier is very confident of classification. Our algorithm is empirically validated on the confusion detection task across multiple online courses. We find that DiAd outperforms other methods on the target domain, while showing a comparable performance to a popular method that uses labeled data from the target domain.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114205931","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: 4
Validating the Use of LMS-Derived Rubric Structural Features to Facilitate Automated Measurement of Rubric Quality 验证使用lms衍生的毛坯结构特征来促进毛坯质量的自动测量
Philip Arcuria, W. Morgan, T. Fikes
{"title":"Validating the Use of LMS-Derived Rubric Structural Features to Facilitate Automated Measurement of Rubric Quality","authors":"Philip Arcuria, W. Morgan, T. Fikes","doi":"10.1145/3303772.3303829","DOIUrl":"https://doi.org/10.1145/3303772.3303829","url":null,"abstract":"Rubrics are widely used throughout postsecondary education as means for aiding in instruction and evaluation. However, despite their broad global adoption, very little is known about the quality of rubrics in use. We develop two measures to assess the quality of rubrics: (1) a checklist identifying criteria of high-quality rubrics based on analytic rubric design best practices and (2) a set of LMS-derived features that are hypothesized to represent structural components that are, in general, necessary but not sufficient for high quality rubrics. The validity of using the feature-generated scores as proxies for identifying rubric quality is evaluated through several means. First, the feature-generated scores are calculated for a set of external exemplary rubrics of known high quality. Second, the feature-scores for a subset of internal rubrics are compared to average human rater scores of rubric quality based on the checklist. We discuss the results, practical applications, and a larger research program surrounding the feature-generated scores.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122327264","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
Towards Enabling Feedback on Rhetorical Structure with Neural Sequence Models 利用神经序列模型实现修辞结构的反馈
James Fiacco, Elena Cotos, C. Rosé
{"title":"Towards Enabling Feedback on Rhetorical Structure with Neural Sequence Models","authors":"James Fiacco, Elena Cotos, C. Rosé","doi":"10.1145/3303772.3303808","DOIUrl":"https://doi.org/10.1145/3303772.3303808","url":null,"abstract":"Analysis of student writing, both for assessment and for enabling feedback have been of interest to the field of learning analytics. While much progress can be made through detection of local cues in writing, structured prediction approaches offer capabilities that are particularly well tailored to the needs of models aiming to offer substantive feedback on rhetorical structure. We thus cast the analysis of rhetorical structure in academic writing as a structured prediction task in which we employ models that leverage both local and global cues in writing. In particular, this paper presents a hierarchical neural architecture that performs this task. The evaluation demonstrates that the architecture achieves near-human performance while significantly surpassing state-of-the-art baselines. A multifaceted approach to model interpretation offers insights into the inner workings of the model.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122554237","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: 15
A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree 课程规划及其与毕业GPA和学位时间的关系研究
Sara Morsy, G. Karypis
{"title":"A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree","authors":"Sara Morsy, G. Karypis","doi":"10.1145/3303772.3303783","DOIUrl":"https://doi.org/10.1145/3303772.3303783","url":null,"abstract":"In recent years, several data-driven methods have been developed to help undergraduate students during course selection and sequencing. These methods tend to utilize the whole set of past course registration data, regardless of the past students' graduation GPA and time to degree (TTD). Though some previous work has shown through the results of their developed models that students of different GPA tend to take courses in different sequence, the actual analysis of the degree plans and how/if they relate to the students' graduation GPA and time-to-degree has not received much attention. This study analyzes how the student's academic level when they take different courses, as well as the pairwise degree similarity between pairs of students relate to the students' graduation GPA and TTD. Our study uses a large-scale dataset that contains 25 majors from different colleges at the University of Minnesota and spans 16 years. The analysis shows that TTD is highly correlated with both the timing and ordering of courses that students follow in their degree plans, while the correlation between graduation GPA and the course timing and ordering is not as high. We also perform a case study that uses course timing and ordering features to predict whether the student at each semester will graduate on-time or overtime. The results show that careful curriculum planning is needed to improve graduation rates in universities.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123055589","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: 15
Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality mooc中的社会比较:感知SES、观点和信息形式
Heeryung Choi, Nia Dowell, Christopher A. Brooks, Stephanie D. Teasley
{"title":"Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality","authors":"Heeryung Choi, Nia Dowell, Christopher A. Brooks, Stephanie D. Teasley","doi":"10.1145/3303772.3303773","DOIUrl":"https://doi.org/10.1145/3303772.3303773","url":null,"abstract":"There has been limited research on how perceptions of socioeconomic status (SES) and opinion difference could influence peer feedback in Massive Open Online Courses (MOOCs). Using social comparison theory [12], we investigated the influence of ability and opinion-related factors on peer feedback text in a data science MOOC. Perceived SES of peers and the formality of written responses were used as the ability-related factor, while agreement between learners represented the opinion-related factor. We focused on understanding the behaviors of those learners who are most prevalent in MOOCs; those from high socioeconomic countries. Through two studies, we found a strong and repeated influence of agreement on affect and formality in feedback to peers. While a mediation effect of perceived SES was found, a significant effect of formality was not. This work contributes to an understanding of how social comparison theory can be operationalized in online peer writing environments.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127355601","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: 5
Increasing the Impact of Learning Analytics 增加学习分析的影响
S. Dawson, Srécko Joksimovíc, Oleksandra Poquet, George Siemens
{"title":"Increasing the Impact of Learning Analytics","authors":"S. Dawson, Srécko Joksimovíc, Oleksandra Poquet, George Siemens","doi":"10.1145/3303772.3303784","DOIUrl":"https://doi.org/10.1145/3303772.3303784","url":null,"abstract":"Learning Analytics (LA) studies the learning process in order to optimize learning opportunities for students. Although LA has quickly risen to prominence, there remain questions regarding the impact LA has made to date. To evaluate the extent that LA has impacted our understanding of learning and produced insights that have been translated to mainstream practice or contributed to theory, we reviewed the research published in 2011-2018 LAK conferences and Journal of Learning Analytics. The reviewed studies were coded according to five dimensions: study focus, data types, purpose, institutional setting, and scale of research and implementation. The coding and subsequent epistemic network analysis indicates that while LA research has developed in the areas of focus and sophistication of analyses, the impact on practice, theory and frameworks have been limited. We hypothesize that this finding is due to a continuing predominance of small-scale techno-centric exploratory studies that to date have not fully accounted for the multi-disciplinarity that comprises education. For the field to reach its potential in understanding and optimizing learning and learning environments, there must be a purposeful shift to move from exploratory models to more holistic and integrative systems-level research. This necessitates greater effort applied to understanding the research cycles that emerge when multiple knowledge domains coalesce into new fields of research.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123727143","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: 90
Exploring the Subtleties of Agency and Indirect Control in Digital Learning Games 探讨数字学习游戏中的代理和间接控制的微妙之处
Erik Harpstead, J. Richey, Huy A. Nguyen, B. McLaren
{"title":"Exploring the Subtleties of Agency and Indirect Control in Digital Learning Games","authors":"Erik Harpstead, J. Richey, Huy A. Nguyen, B. McLaren","doi":"10.1145/3303772.3303797","DOIUrl":"https://doi.org/10.1145/3303772.3303797","url":null,"abstract":"How do the features of a learning environment's user interface impact learners' agency and, further, their learning? We explored this question in the context of Decimal Point, a digital learning game designed to support middle school students in learning decimals. Previous studies of the game showed that giving students the ability to choose the order and number of mini-games to play did not significantly impact their learning outcomes compared to a condition without choice. In this paper we explore whether some elements of the game's interface may have inadvertently exerted indirect control over students' choice, leading to the previous effects. We conducted a classroom study using a new version of the game that varied whether students saw a visual path connecting mini-games on the game map to modulate the level of indirect control students would experience with an implied ordering. Ultimately, we found that students in the no-line condition exercised significantly more agency but did not learn any less than the line condition. These results suggest that indirect control can be a subtle but powerful way to direct student attention in digital learning games.","PeriodicalId":382957,"journal":{"name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114218886","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: 14
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