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Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards [chapter]

Shiva Shabaninejad, Hassan Khosravi, Sander J. J. Leemans, Shazia Sadiq, Marta Indulska
2020 Lecture Notes in Computer Science  
This paper proposes an analytical approach to assist LAD users with navigating the large set of possible drill-down actions to identify insights about learning behaviours of the sub-cohorts.  ...  Learning Analytics Dashboards (LADs) make use of rich and complex data about students and their learning activities to assist educators in understanding and making informed decisions about student learning  ...  While [42] recommends drill-downs based on the difference between cohorts' attribute values, this paper bases the recommendations on the difference between cohorts learning processes.  ... 
doi:10.1007/978-3-030-52237-7_39 fatcat:wnyb4mrkvvdzta7oityc4vwria

Intelligent Learning Analytics Dashboards: Automated Drill-Down Recommendations to Support Teacher Data Exploration

Hassan Khosravi, Shiva Shabaninejad, Aneesha Bakharia, Shazia Sadiq, Marta Indulska, Dragan Gašević
2021 Journal of Learning Analytics  
We demonstrate an application of our proposed approach in an existing learning analytics dashboard (LAD) and explore the recommended drill-downs in a course with 875 students.  ...  To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on predictive analytics.  ...  addressing the challenges of using predictive models and manual drill-downs and how human-in-the-loop AI methods, in the form of guided exploratory approaches, can address the discussed challenges.  ... 
doi:10.18608/jla.2021.7279 fatcat:2jzbjhvza5ce5isdy2k5wjismq

Exploration Views: Understanding Dashboard Creation and Customization for Visualization Novices [chapter]

Micheline Elias, Anastasia Bezerianos
2011 Lecture Notes in Computer Science  
that targets both, and (iii) provide new design guidelines for practitioners building dashboard applications, on the needs of novice visualization users.  ...  With the increase of visualization platforms targeting novices, researchers are now focusing on gathering insights regarding novice user practices.  ...  We'd like to thank our users for their time and comments, Alexis Naibo and Didier Bolf for their support, and our reviewers for their useful suggestions.  ... 
doi:10.1007/978-3-642-23768-3_23 fatcat:toi5boned5bvxhxsdla7e6cbli

DATA Act Dashboard: An Instructional Case Using Data Visualization

Karen A Kitching, Eileen Coble, Alex Phillips
2021 Journal of Governmental & Nonprofit Accounting  
Students also learn to construct an interactive dashboard to allow uses to routinely discover and investigate agency spending data and to drill down to specific dimensions, such as program activity or  ...  This case is designed to be flexible so that it can be implemented in any undergraduate or graduate accounting course from government accounting and auditing to data analytics based on the instructor's  ...  the results  Explore the data geographically (optional)  Drill down into the details  Build a dashboard to show the insights While the basic training available from Tableau is sufficient to learn the  ... 
doi:10.2308/jogna-2021-004 fatcat:m6auxft7ifedtp3de7h56wkur4

Enhancing the Professional Vision of Teachers: A Physiological Study of Teaching Analytics Dashboards of Students' Repertory Grid Exercises in Business Education

Kostas Pantazos, Ravi Vatrapu
2016 2016 49th Hawaii International Conference on System Sciences (HICSS)  
This paper reports on a study of the design, development and evaluation of two teaching analytics dashboards that visualize students' repertory grid exercise data.  ...  Regarding education technology innovation, teachers reported that such dashboards are lacking in their regular practice and would recommend their use in formal business educational settings.  ...  This work was partially supported by the NEXT-TELL project, co-funded by the European Union under the ICT theme of the 7th Framework Programme for R&D (FP7).  ... 
doi:10.1109/hicss.2016.14 dblp:conf/hicss/PantazosV16 fatcat:eztqdefwrzg73i2fwrcvjr4rt4


Keshika Bugwandeen, Marius Ungerer
2019 South African Journal of Industrial Engineering  
Dashboards are a business enablement tool, and their success rests on a structured development process with adequate stakeholder involvement. 162 translate organisational strategy into objectives, metrics  ...  The primary objective of the research was to explore the design of performance dashboards in relation to achieving strategic goals. The literature revealed mandatory criteria for dashboard design.  ...  Web-based platforms have the advantage of accessibility from remote locations and better drill-down functionality.  ... 
doi:10.7166/30-2-2021 fatcat:6xrfjkf6evavtbwzs3eudwr3wa

Big Data Analytics for Business Intelligence in Accounting and Audit

Mui Kim Chu, Kevin Ow Yong
2021 Open Journal of Social Sciences  
Big data analytics represents a promising area for the accounting and audit professions.  ...  In addition, data visualization tools are able to complement predictive analytics to help users uncover trends in the business process.  ...  We wish to thank Khin Yuya Thet for her research assistance. All errors are our own. Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/jss.2021.99004 fatcat:mf7cv6pjszhnbbqn27pcic5yi4

Open Source Dashboard Technology and IEDSS for Higher Education Institutions

Hemant Sharma
2017 International Journal Of Engineering And Computer Science  
If Dashboard Technology and IEDSS are applied to higher education processes, it would help to improve students' performance, their life cycle management, selection of prospective students, course design  ...  This is an approach to examine the effect of using open source dashboard technology and IEDSS for Higher Education Institution in strategic planning.  ...  Additionally, decisions based on real time dashboard information often exist in a black hole: they are made and executed, but the decision-making process is never passed down through the organization.  ... 
doi:10.18535/ijecs/v6i6.01 fatcat:bac7rxm5xjd2jemofzehd4zuhm

Classifying News Media Coverage for Corruption Risks Management with Deep Learning and Web Intelligence

Albert Weichselbraun, Sandro Hörler, Christian Hauser, Anina Havelka
2020 Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics  
The research presented in this paper introduces the Integrity Risks Monitor, an analytics dashboard that applies Web Intelligence and Deep Learning to english and germanspeaking documents for the task  ...  They also demonstrate that although classical machine learning approaches such as Naïve Bayes struggle with the diversity of the media coverage on corruption, state-of-the art Deep Learning models perform  ...  Integrity Risks Monitor In addition, the analytics dashboard provides powerful tools for performing drill-down analyses: clicking on any point or keyword in the visualizations, provides a context menu  ... 
doi:10.1145/3405962.3405988 fatcat:nzutrdthpjam7isklcxt7di5fi

Making Sense of Learning Analytics Dashboards: A Technology Acceptance Perspective of 95 Teachers

Bart Rienties, Christothea Herodotou, Tom Olney, Mat Schencks, Avi Boroowa
2018 International Review of Research in Open and Distance Learning  
With the increasing availability of learning analytics data, online teachers might be able to use learning analytics dashboards to facilitate learners with different learning needs.  ...  Using the principles of technology acceptance model, in this embedded case-study, we explored teachers' readiness for learning analytics visualisations amongst 95 experienced teaching staff at one of the  ...  However, many teachers struggled to put learning analytics recommendations into concrete actions for students in need (Herodotou et al., 2017) .  ... 
doi:10.19173/irrodl.v19i5.3493 fatcat:5drlnu2m3fhsdauy6wdvdevdri

User analytics with UbeOne

Georgia Koutrika, Qian Lin, Jerry Liu
2013 Proceedings of the VLDB Endowment  
We will also give a taste of how the system can enable instant recommendations based on the user context.  ...  As web and mobile applications become more sensitive to the user context, there is a shift from purely off-line processing of user actions (log analysis) to real-time user analytics that can generate information  ...  We will show real-time graphs and insights into web printing using an online analytics dashboard.  ... 
doi:10.14778/2536274.2536321 fatcat:xuay3kedcvfnzltdtd37svwk3y

The Canadian Atlas of Child and Youth Injury: Mobilizing Injury Surveillance Data to Launch a National Knowledge Translation Tool

Ian Pike, Jennifer Smith, Samar Al-Hajj, Pamela Fuselli, Alison Macpherson
2017 International Journal of Environmental Research and Public Health  
The accessibility of the dashboard is enhanced by customization of data visualizations and data outputs to suit the user's needs.  ...  Child and youth injury prevention research in Canada has lagged behind other Organisation for Economic Co-operation and Development nations, despite existing surveillance systems and longitudinal data.  ...  for their work on compiling the data for the tools and visualizations.  ... 
doi:10.3390/ijerph14090982 pmid:28867782 pmcid:PMC5615519 fatcat:2i3kdrhrlbgf5nwrxox67nbl5i

Dashboard Visualisation for Healthcare Performance Management: Balanced scorecard method

Stephen Victor, Ayesha Farooq
2021 Asia Pacific Journal of Health Management  
Leaving Against Medical Advice(LAMA) Internal Processes: Billing and collections/posting time, emergency patients triaged within 15 minutes of arrival and patient waiting time Learning And Growth: Empowerment  ...  Results: A dynamic dashboard was created in the BSC format with three Key Performance Indicators(KPI) for each of the four perspectives.  ...  Scope for further research exists in the use of Business Analytics in dashboard applications.  ... 
doi:10.24083/apjhm.v16i2.625 fatcat:2qtt6irwrjgiveozbwjf7secai

Computational Decision Support for the COVID-19 Healthcare Coalition

Andreas Tolk, Christoper Glazner, Joseph Ungerleider
2020 Computing in science & engineering (Print)  
Of particular interest for this journal is the work of the analytics working groups who had to obtain and align distributed and diverse data, orchestrate heterogenous modeling approaches, use machine learning  ...  This required the coalition to obtain, align, and orchestrate many heterogeneous data sources and present this data on dashboards in a format that was understandable and useful to decision makers.  ...  We also thank our leadership for their support and guidance.  ... 
doi:10.1109/mcse.2020.3036586 fatcat:j4zq5vhlmne7xpyrb3z37we4pe

Teaching analytics, value and tools for teacher data literacy: a systematic and tripartite approach

Ifeanyi Glory Ndukwe, Ben Kei Daniel
2020 International Journal of Educational Technology in Higher Education  
Teaching Analytics (TA) is a new theoretical approach, which combines teaching expertise, visual analytics and design-based research to support teacher's diagnostic pedagogical ability to use data and  ...  These skills are dependent on understanding the connection between TA, LA and Learning Design (LD).  ...  We also want to thank members of the Technology Enhanced Learning and Teaching (TELT) Committee of the University of Otago, New Zealand for support and for providing constructive feedback.  ... 
doi:10.1186/s41239-020-00201-6 fatcat:r4exrzqh25dtlk5xuxswalmpl4
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