Proceedings of the Sixth International Conference on Learning Analytics & Knowledge最新文献_第5页

Understanding learning at a glance: an overview of learning dashboard studies 了解学习概览:学习仪表板研究概述

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883930

Beat Schwendimann, M. Rodríguez-Triana, A. Vozniuk, L. Prieto, Mina Shirvani Boroujeni, A. Holzer, D. Gillet, P. Dillenbourg

引用次数: 53

LAK16 workshop: extending IMS caliper analytics™ with learning activity profiles LAK16研讨会:使用学习活动概要扩展IMS卡钳分析™

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883858

Anthony Whyte, Prashant Nayak, John Johnston

{"title":"LAK16 workshop: extending IMS caliper analytics™ with learning activity profiles","authors":"Anthony Whyte, Prashant Nayak, John Johnston","doi":"10.1145/2883851.2883858","DOIUrl":"https://doi.org/10.1145/2883851.2883858","url":null,"abstract":"Educational institutions are evolving away from the one-application-fits-all learning management system to a loosely connected digital learning ecosystem comprising diverse services that increasingly leverage data analytics to drive pedagogical innovation. Yet an ecosystem rich in services but lacking a common approach to measuring learning activity will find data collection, aggregation and analysis time-consuming and costly. The IMS Caliper Analytics™ specification addresses the need for data and semantic interoperability by providing an extensible information model, controlled vocabularies and an API for instrumenting learning applications and systems that log learning events. However, many learning activities have yet to be modeled by the Caliper working group. Engaging the SoLAR community directly in this effort will help ensure that the needs of researchers and other consumers of learning analytics data will inform future versions of the specification. The LAK16 Caliper workshop is being offered with this goal in mind. The half-day session, facilitated by members of Team Caliper, will provide LAK16 participants with an opportunity to extend the Caliper specification by modeling new learning activity profiles. New profiles, new connections and new friendships are expected outcomes.","PeriodicalId":343844,"journal":{"name":"Proceedings of the Sixth International Conference on Learning Analytics & Knowledge","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130227753","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

Generating actionable predictive models of academic performance 生成可操作的学习成绩预测模型

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883870

A. Pardo, Negin Mirriahi, Roberto Martínez Maldonado, J. Jovanović, S. Dawson, D. Gašević

{"title":"Generating actionable predictive models of academic performance","authors":"A. Pardo, Negin Mirriahi, Roberto Martínez Maldonado, J. Jovanović, S. Dawson, D. Gašević","doi":"10.1145/2883851.2883870","DOIUrl":"https://doi.org/10.1145/2883851.2883870","url":null,"abstract":"The pervasive collection of data has opened the possibility for educational institutions to use analytics methods to improve the quality of the student experience. However, the adoption of these methods faces multiple challenges particularly at the course level where instructors and students would derive the most benefit from the use of analytics and predictive models. The challenge lies in the knowledge gap between how the data is captured, processed and used to derive models of student behavior, and the subsequent interpretation and the decision to deploy pedagogical actions and interventions by instructors. Simply put, the provision of learning analytics alone has not necessarily led to changing teaching practices. In order to support pedagogical change and aid interpretation, this paper proposes a model that can enable instructors to readily identify subpopulations of students to provide specific support actions. The approach was applied to a first year course with a large number of students. The resulting model classifies students according to their predicted exam scores, based on indicators directly derived from the learning design.","PeriodicalId":343844,"journal":{"name":"Proceedings of the Sixth International Conference on Learning Analytics & Knowledge","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116725676","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: 44

Recipe for success: lessons learnt from using xAPI within the connected learning analytics toolkit 成功秘诀:在连接学习分析工具包中使用xAPI的经验教训

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883882

Aneesha Bakharia, Kirsty Kitto, A. Pardo, D. Gašević, S. Dawson

{"title":"Recipe for success: lessons learnt from using xAPI within the connected learning analytics toolkit","authors":"Aneesha Bakharia, Kirsty Kitto, A. Pardo, D. Gašević, S. Dawson","doi":"10.1145/2883851.2883882","DOIUrl":"https://doi.org/10.1145/2883851.2883882","url":null,"abstract":"An ongoing challenge for Learning Analytics research has been the scalable derivation of user interaction data from multiple technologies. The complexities associated with this challenge are increasing as educators embrace an ever growing number of social and content-related technologies. The Experience API (xAPI) alongside the development of user specific record stores has been touted as a means to address this challenge, but a number of subtle considerations must be made when using xAPI in Learning Analytics. This paper provides a general overview to the complexities and challenges of using xAPI in a general systemic analytics solution - called the Connected Learning Analytics (CLA) toolkit. The importance of design is emphasised, as is the notion of common vocabularies and xAPI Recipes. Early decisions about vocabularies and structural relationships between statements can serve to either facilitate or handicap later analytics solutions. The CLA toolkit case study provides us with a way of examining both the strengths and the weaknesses of the current xAPI specification, and we conclude with a proposal for how xAPI might be improved by using JSON-LD to formalise Recipes in a machine readable form.","PeriodicalId":343844,"journal":{"name":"Proceedings of the Sixth International Conference on Learning Analytics & Knowledge","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128658089","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: 48

An analysis framework for collaborative problem solving in practice-based learning activities: a mixed-method approach 基于实践的学习活动中协作解决问题的分析框架:混合方法方法

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883900

M. Cukurova, K. Avramides, Daniel Spikol, R. Luckin, M. Mavrikis

引用次数: 33

Forecasting student achievement in MOOCs with natural language processing 用自然语言处理预测mooc学生成绩

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883932

Carly D. Robinson, M. Yeomans, J. Reich, Chris Hulleman, Hunter Gehlbach

引用次数: 76

Learning design and feedback processes at scale: stocktaking emergent theory and practice 大规模学习设计和反馈过程:盘点应急理论与实践

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883856

Ulla Ringtved, Sandra Milligan, L. Corrin

引用次数: 3

Cross-LAK: learning analytics across physical and digital spaces 跨lak:跨物理和数字空间的学习分析

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883855

Roberto Martínez Maldonado, Davinia Hernández Leo, A. Pardo, D. Suthers, Kirsty Kitto, Sven Charleer, Naif R. Aljohani, H. Ogata

引用次数: 15

Demonstration of the Unizin sentiment visualizer Unizin情感可视化器的演示

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883903

J. Freeman

引用次数: 1

Topic modeling for evaluating students' reflective writing: a case study of pre-service teachers' journals 主题建模评价学生反思性写作:以职前教师期刊为例

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI: 10.1145/2883851.2883951

Ye Chen, Bei Yu, Xuewei Zhang, Yihan Yu

{"title":"Topic modeling for evaluating students' reflective writing: a case study of pre-service teachers' journals","authors":"Ye Chen, Bei Yu, Xuewei Zhang, Yihan Yu","doi":"10.1145/2883851.2883951","DOIUrl":"https://doi.org/10.1145/2883851.2883951","url":null,"abstract":"Journal writing is an important and common reflective practice in education. Students' reflection journals also offer a rich source of data for formative assessment. However, the analysis of the textual reflections in class of large size presents challenges. Automatic analysis of students' reflective writing holds great promise for providing adaptive real time support for students. This paper proposes a method based on topic modeling techniques for the task of themes exploration and reflection grade prediction. We evaluated this method on a sample of journal writings from pre-service teachers. The topic modeling method was able to discover the important themes and patterns emerged in students' reflection journals. Weekly topic relevance and word count were identified as important indicators of their journal grades. Based on the patterns discovered by topic modeling, prediction models were developed to automate the assessing and grading of reflection journals. The findings indicate the potential of topic modeling in serving as an analytic tool for teachers to explore and assess students' reflective thoughts in written journals.","PeriodicalId":343844,"journal":{"name":"Proceedings of the Sixth International Conference on Learning Analytics & Knowledge","volume":"116 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114105967","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: 53