Proceedings of the 8th International Conference on Learning Analytics and Knowledge最新文献

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Supporting teachers' intervention in students' virtual collaboration using a network based model 使用基于网络的模型支持教师对学生虚拟协作的干预
Tiffany Herder, Z. Swiecki, Simon Skov Fougt, A. Tamborg, B. Allsopp, D. Shaffer, Morten Misfeldt
{"title":"Supporting teachers' intervention in students' virtual collaboration using a network based model","authors":"Tiffany Herder, Z. Swiecki, Simon Skov Fougt, A. Tamborg, B. Allsopp, D. Shaffer, Morten Misfeldt","doi":"10.1145/3170358.3170394","DOIUrl":"https://doi.org/10.1145/3170358.3170394","url":null,"abstract":"This paper reports a Design-Based Research project developing a tool (the Process Tab) that supports teachers' interventions with students in virtual internships. The tool uses a networked approach and allows insights into the discourse of groups and individuals based on contributions in chat fora and assignments. In the paper, we present the tool and reports from interviews with three teachers who used the tool. The interviews provide insights about the teachers' hopes, actual use, and difficulties with the tool. The main insight is that even though the teachers genuinely liked the idea and specific representations of the Process Tab, their lack of ability to teach and look at the tool at the same time hindered their use. In the final part of the paper, we discuss how to address this issue.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128317015","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: 19
A qualitative evaluation of a learning dashboard to support advisor-student dialogues 对支持导师与学生对话的学习仪表板进行定性评估
Martijn Millecamp, Francisco Gutiérrez, Sven Charleer, K. Verbert, T. Laet
{"title":"A qualitative evaluation of a learning dashboard to support advisor-student dialogues","authors":"Martijn Millecamp, Francisco Gutiérrez, Sven Charleer, K. Verbert, T. Laet","doi":"10.1145/3170358.3170417","DOIUrl":"https://doi.org/10.1145/3170358.3170417","url":null,"abstract":"This paper presents an evaluation of a learning dashboard that supports the dialogue between a student and a study advisor. The dashboard was designed, developed, and evaluated in collaboration with study advisers. To ensure scalability to other contexts, the dashboard uses data that is commonly available at any higher education institute. It visualizes the grades of the student, an overview of the progress through the year, his/her position in comparison with peers, sliders to plan the next years and a prediction of the length of the bachelor program for this student in years based on historic data. The dashboard was deployed at KU Leuven, Belgium and used in September 2017 to support 224 sessions between students and study advisers. We observed twenty of these conversations. We also collected feedback from 101 students with questionnaires. Results of our observations indicate that the dashboard primarily triggers insights at the beginning of a conversation. The number of insights and the level of these insights (factual, interpretative and reflective) depends on the context of the conversation. Most insights were triggered in conversations with students doubting to continue the program, indicating that our dashboard is useful to support difficult decision-making processes.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128638866","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: 26
Finding traces of self-regulated learning in activity streams 在活动流中寻找自我调节学习的痕迹
Analía Cicchinelli, Eduardo Veas, A. Pardo, Viktoria Pammer-Schindler, Angela Fessl, Carla Barreiros, Stefanie N. Lindstädt
{"title":"Finding traces of self-regulated learning in activity streams","authors":"Analía Cicchinelli, Eduardo Veas, A. Pardo, Viktoria Pammer-Schindler, Angela Fessl, Carla Barreiros, Stefanie N. Lindstädt","doi":"10.1145/3170358.3170381","DOIUrl":"https://doi.org/10.1145/3170358.3170381","url":null,"abstract":"This paper aims to identify self-regulation strategies from students' interactions with the learning management system (LMS). We used learning analytics techniques to identify metacognitive and cognitive strategies in the data. We define three research questions that guide our studies analyzing i) self-assessments of motivation and self regulation strategies using standard methods to draw a baseline, ii) interactions with the LMS to find traces of self regulation in observable indicators, and iii) self regulation behaviours over the course duration. The results show that the observable indicators can better explain self-regulatory behaviour and its influence in performance than preliminary subjective assessments.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131892995","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: 72
Investigating learning strategies in a dispositional learning analytics context: the case of worked examples 在性格学习分析的背景下调查学习策略:工作实例的情况
Dirk T. Tempelaar, B. Rienties, Quan Nguyen
{"title":"Investigating learning strategies in a dispositional learning analytics context: the case of worked examples","authors":"Dirk T. Tempelaar, B. Rienties, Quan Nguyen","doi":"10.1145/3170358.3170385","DOIUrl":"https://doi.org/10.1145/3170358.3170385","url":null,"abstract":"This study aims to contribute to recent developments in empirical studies on students' learning strategies, whereby the use of trace data is combined with self-report data to distinguish profiles of learning strategy use [3--5]. We do so in the context of an application of dispositional learning analytics in a large introductory course mathematics and statistics, based on blended learning. Building on our previous work which showed marked differences in how students used worked examples as a learning strategy [7, 11], this study compares different profiles of learning strategies with learning approaches, learning outcomes, and learning dispositions. One of our key findings is that deep learners were less dependent on worked examples as a resource for learning, and that students who only sporadically used worked examples achieved higher test scores.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125149547","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: 16
A framework for developing metrics of youth engagement in informal learning environments 制定青年参与非正式学习环境指标的框架
Denise C. Nacu, J. Baltes, T. Hamid, Jonathan F. Gemmell, Nichole Pinkard
{"title":"A framework for developing metrics of youth engagement in informal learning environments","authors":"Denise C. Nacu, J. Baltes, T. Hamid, Jonathan F. Gemmell, Nichole Pinkard","doi":"10.1145/3170358.3170393","DOIUrl":"https://doi.org/10.1145/3170358.3170393","url":null,"abstract":"This paper proposes a framework which aims to leverage data from informal learning environments to provide insights about youth engagement for various stakeholders. To explore the framework, we created metrics to examine the engagement of 98 middle school-aged girls during a 20-week STEM program using attendance records and log data from an online learning platform coded to reflect 21st century learning activities. We present preliminary analyses using the metrics, focusing on how they can help stakeholders understand engagement and equity of participation.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134175099","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
The pragmatic maxim as learning analytics research method 语用格言作为学习分析的研究方法
Andrew Gibson, Charles Lang
{"title":"The pragmatic maxim as learning analytics research method","authors":"Andrew Gibson, Charles Lang","doi":"10.1145/3170358.3170384","DOIUrl":"https://doi.org/10.1145/3170358.3170384","url":null,"abstract":"It is arguable that the chief aim of Learning Analytics is to use analytics for meaningful purposes in learning and teaching contexts, and that research in the field should advance this cause. However the field does not present a single clear understanding of what constitutes quality in Learning Analytics research. In this paper we present the Pragmatic Inquiry for Learning Analytics Research (PILAR) method as one approach to conducting Learning Analytics research. Rather than creating a new method, we reintroduce an old method to a new field, drawing on the Pragmatic Maxim, proposed by Charles Sanders Peirce as a principle for making ideas clear. Our instantiation of the Pragmatic Maxim requires the researcher to situate Learning Analytics research within a clearly defined learning context and to consider the analytics in terms of the practical effects on learning. We propose three essential elements and a five step process for addressing them in research. After presenting PILAR we address two potential limitations of the approach, and conclude with some implications for its future use in Learning Analytics research.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121298618","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: 9
Studying MOOC completion at scale using the MOOC replication framework 使用MOOC复制框架研究大规模的MOOC完成
J. M. Andres, R. Baker, D. Gašević, George Siemens, S. Crossley, Srécko Joksimovíc
{"title":"Studying MOOC completion at scale using the MOOC replication framework","authors":"J. M. Andres, R. Baker, D. Gašević, George Siemens, S. Crossley, Srécko Joksimovíc","doi":"10.1145/3170358.3170369","DOIUrl":"https://doi.org/10.1145/3170358.3170369","url":null,"abstract":"Research on learner behaviors and course completion within Massive Open Online Courses (MOOCs) has been mostly confined to single courses, making the findings difficult to generalize across different data sets and to assess which contexts and types of courses these findings apply to. This paper reports on the development of the MOOC Replication Framework (MORF), a framework that facilitates the replication of previously published findings across multiple data sets and the seamless integration of new findings as new research is conducted or new hypotheses are generated. In the proof of concept presented here, we use MORF to attempt to replicate 15 previously published findings across 29 iterations of 17 MOOCs. The findings indicate that 12 of the 15 findings replicated significantly across the data sets, and that two findings replicated significantly in the opposite direction. MORF enables larger-scale analysis of MOOC research questions than previously feasible, and enables researchers around the world to conduct analyses on huge multi-MOOC data sets without having to negotiate access to data.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129144808","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: 39
The complexities of developing a personal code of ethics for learning analytics practitioners: implications for institutions and the field 为学习分析从业者制定个人道德准则的复杂性:对机构和领域的影响
Charles Lang, Leah P. Macfadyen, Sharon Slade, P. Prinsloo, Niall Sclater
{"title":"The complexities of developing a personal code of ethics for learning analytics practitioners: implications for institutions and the field","authors":"Charles Lang, Leah P. Macfadyen, Sharon Slade, P. Prinsloo, Niall Sclater","doi":"10.1145/3170358.3170396","DOIUrl":"https://doi.org/10.1145/3170358.3170396","url":null,"abstract":"In this paper we explore the potential role, value and utility of a personal code of ethics (COE) for learning analytics practitioners, and in particular we consider whether such a COE might usefully mediate individual actions and choices in relation to a more abstract institutional COE. While several institutional COEs now exist, little attention has been paid to detailing the ethical responsibilities of individual practitioners. To investigate the problems associated with developing and implementing a personal COE, we drafted an LA Practitioner COE based on other professional codes, and invited feedback from a range of learning analytics stakeholders and practitioners: ethicists, students, researchers and technology executives. Three main themes emerged from their reflections: 1. A need to balance real world demands with abstract principles, 2. The limits to individual accountability within the learning analytics space, and 3. The continuing value of debate around an aspirational code of ethics within the field of learning analytics.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132402788","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: 19
Prospectively predicting 4-year college graduation from student applications 从学生申请中预测四年制大学毕业情况
Stephen Hutt, Margo Gardener, Donald Kamentz, A. Duckworth, S. D’Mello
{"title":"Prospectively predicting 4-year college graduation from student applications","authors":"Stephen Hutt, Margo Gardener, Donald Kamentz, A. Duckworth, S. D’Mello","doi":"10.1145/3170358.3170395","DOIUrl":"https://doi.org/10.1145/3170358.3170395","url":null,"abstract":"We leverage a unique national dataset of 41,359 college applications to prospectively predict 4-year bachelor's graduation in a generalizable manner. Our features include sociodemographics, institutional graduation rates, academic achievement, standardized test scores, engagement in extracurricular activities, work experiences, and ratings by teachers and high-school guidance counselors. A random forest classifier successfully predicted 4-year graduation for 71.4% of the students (base rate = 44%) using all 166 of the aforementioned features and a split-half validation method. A stochastic hill-climbing feature selection procedure effectively maintained the same classification accuracy, but with a minimal set of 37 features, consisting of an approximately equal representation of sociodemographics, cognitive, and noncognitive factors. We advocate against using these results for admissions decisions, instead contemplating how they might be used to provide parents and educators with actionable information to guide students towards college success.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130809239","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: 23
Recurrence quantification analysis as a method for studying text comprehension dynamics 递归量化分析作为研究文本理解动态的方法
A. Likens, Kathryn S. McCarthy, L. Allen, D. McNamara
{"title":"Recurrence quantification analysis as a method for studying text comprehension dynamics","authors":"A. Likens, Kathryn S. McCarthy, L. Allen, D. McNamara","doi":"10.1145/3170358.3170407","DOIUrl":"https://doi.org/10.1145/3170358.3170407","url":null,"abstract":"Self-explanations are commonly used to assess on-line reading comprehension processes. However, traditional methods of analysis ignore important temporal variations in these explanations. This study investigated how dynamical systems theory could be used to reveal linguistic patterns that are predictive of self-explanation quality. High school students (n = 232) generated self-explanations while they read a science text. Recurrence Plots were generated to show qualitative differences in students' linguistic sequences that were later quantified by indices derived by Recurrence Quantification Analysis (RQA). To predict self-explanation quality, RQA indices, along with summative measures (i.e., number of words, mean word length, and type-token ration) and general reading ability, served as predictors in a series of regression models. Regression analyses indicated that recurrence in students' self-explanations significantly predicted human rated self-explanation quality, even after controlling for summative measures of self-explanations, individual differences, and the text that was read (R2 = 0.68). These results demonstrate the utility of RQA in exposing and quantifying temporal structure in student's self-explanations. Further, they imply that dynamical systems methodology can be used to uncover important processes that occur during comprehension.","PeriodicalId":437369,"journal":{"name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133836165","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
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