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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  ...  Automated Insightful Drill-Down Recommendation Next, we introduce our method for recommendation of insightful drill-down criteria in LADs, by first introducing relevant concepts and defining our problem  ... 
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.  ...  Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process.  ...  Shabaninejad, Khosravi, Leemans, and colleagues (2020); and Leemans and colleagues (2020) and extends the previous works with a greater focus on addressing the challenges of using predictive models and manual drill-downs  ... 
doi:10.18608/jla.2021.7279 fatcat:2jzbjhvza5ce5isdy2k5wjismq

Facilitating the Use of Data From Multiple Sources for Formative Learning in the Context of Digital Assessments: Informing the Design and Development of Learning Analytic Dashboards

Priya Kannan, Diego Zapata-Rivera
2022 Frontiers in Education  
Learning analytic dashboards (LADs) are data visualization systems that use dynamic data in digital learning environments to provide students, teachers, and administrators with a wealth of information  ...  LADs afford the possibility for teachers to obtain real-time data on student performance, response processes, and progress on academic learning tasks.  ...  LEARNING ANALYTICS DASHBOARDS Learning Analytics Dashboards (LADs) are information visualization dashboards that are intended to provide students and teachers with a wealth of feedback about students'  ... 
doi:10.3389/feduc.2022.913594 fatcat:2ydmfecfwnh23c5nppx2mstydm

Identifying Cohorts that Differ in their Behaviour: Tool Support

Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia W. Sadiq, Moe Thandar Wynn
2020 International Conference on Conceptual Modeling  
Cohort identification recommends drill-down filters for process mining, based on differences in process.  ...  Process mining is a specialised form of data analytics that aims to provide data-driven improvement recommendations, derived from event logs.  ...  analytics dashboard Course Insights (Section 4).  ... 
dblp:conf/er/LeemansS0KSW20a fatcat:3hbh4vz6mzf7bmmndzgodlcnbe

EXPLORING THE DESIGN OF PERFORMANCE DASHBOARDS IN RELATION TO ACHIEVING ORGANISATIONAL STRATEGIC GOALS

Keshika Bugwandeen, Marius Ungerer
2019 South African Journal of Industrial Engineering  
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.  ...  Performance dashboards are an information system tool used to translate the organisation's strategy into objectives, metrics, initiatives, and tasks for each group and individual in the organisation; however  ...  Design and data factors include manual data entry as opposed to automated data refresh, lack of useful metrics and drill down/drill across to support decision-making, poor dashboard design that does not  ... 
doi:10.7166/30-2-2021 fatcat:6xrfjkf6evavtbwzs3eudwr3wa

Data Storytelling with Dashboard: Accelerating Understanding Through Data Visualization in Financial Technology Company Case Study

Ferdian Suprata
2021 Jurnal METRIS  
Case study in financial technology company is applied to experiment and to test the guidelines for assisting dashboard creator to present data-driven insight to the stakeholder.  ...  A literature study is performed to gather all relevant information resulted in guidelines for dashboard creator.  ...  The dashboard was comprised of a set of analysis "drill paths" which were in turn made up of a number of charts and graphs with one-click drill down capability.  ... 
doi:10.25170/metris.v20i1.2375 fatcat:lt4z2icc5ba6fiu4ymikyeo2ue

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.  ...  We examine how machine learning applications, data analytics and data visualization software are changing the way auditors and accountants work with their clients.  ...  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

Augmented Analytics and Modern Business Intelligence Adoption to Maximize Business Value

Mr. Prakash Ukhalkar, Department of MCA, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India., Dr. Santosh Parakh, Dr. Rajesh Phursule, Mrs. Leena Sanu, Department of MCA, Vidya Pratishthan's Institute of Information and Technology, Baramati, Pune, Maharashtra, India., Department of IT, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India., Department of Computer Science, Christ College, Pune, Maharashtra, India.
2021 Journal of University of Shanghai for Science and Technology  
This paper covers the need for Augmented Analytics adoption in companies to maximize business value with respect to added advanced analytics capabilities in BI Tools for effective, accurate and timely  ...  These complex data sets for analysis and decision-making can be used on various platforms and are more accessible than ever to find insights and explanations.  ...  In case of Diagnostic Analytics, companies can drill down to the root-cause and it can isolates all confounding information to understand what certain things had happened in the past.  ... 
doi:10.51201/jusst12685 fatcat:iz35ewionffyna25xkezb7fd4i

D4.1 - Annual Report from Iterative Application Development

Giannis Stoitsis, Nikos Manouselis, Michalis Papakonstantinou, Timotheos Lanitis, Manos Karvounis, Fotis Benekos
2022 Zenodo  
It presents how the software applications that food supply chain stakeholders use, can be connected to TheFSM to support data exchange for the business scenarios identified in WP1 and piloted in WP6.  ...  Our goal with this feature is to achieve insights with recommendations and scouting records which are easy to record and document.  ...  Figure 14 : 14 Figure 14: Drill down through historical incidents per hazard Figure 15 : 15 Figure 15: Predictive analytics for the ingredients of the company to be inspected Figure 16 :Figure 17 :  ... 
doi:10.5281/zenodo.6105288 fatcat:vdvtnrvjprabnm5uo7lotduipy

Review of Python Applications in Solving Oil and Gas Problems

Edet Ita Okon, Dulu Appah, Joseph A. Ajienka
2021 Journal of Engineering Research and Reports  
Its true potential to automate various processes while increased predictability capabilities have been noticed in various industries.  ...  This will help the production and reservoir engineers to better manage the production operation without any need for expensive software.  ...  Scripts written in the Python programming language were implemented to break the 8½ in. drilling stage down into depth sections and automatically generate the best composite time model for each field in  ... 
doi:10.9734/jerr/2021/v21i317448 fatcat:pvuoijohq5adhbuuiddnpyevqe

'Connecting the dots': leveraging visual analytics to make sense of patient safety event reports

R. M. Ratwani, A. Fong
2014 JAMIA Journal of the American Medical Informatics Association  
A MedStar Health research team, with expertise in data analytics and human factors, developed intuitive visualization dashboards to facilitate data exploration and trend analysis.  ...  The success of this approach highlights the need for more intuitive data analysis tools.  ...  Acknowledgements The authors thank the participants who provided valuable insight into the development of the patient safety event visualization dashboards.  ... 
doi:10.1136/amiajnl-2014-002963 pmid:25336592 fatcat:p4k6tqo6ejetpepovg7i5n2dfi

Social Media Analytics in Social CRM - Towards a Research Agenda

Matthias Wittwer, Olaf Reinhold, Rainer Alt
2016 Bled eConference  
Thus, Social Media Analytics (SMA) applications have emerged in recent years and have become inevitable for automatically generating valuable insights.  ...  Social Media have emerged as an additional source of information for companies.  ...  Acknowledgements The authors gratefully acknowledge the support of Richard Stüber for his valuable inputs and time in numerous discussions.  ... 
dblp:conf/bled/WittwerRA16 fatcat:dtr6zvzpvbgb5d52oritl7kkjm

The Road to Highlights is Paved with Good Intentions: Envisioning a Paradigm Shift in OLAP Modeling

Panos Vassiliadis, Patrick Marcel
2018 International Workshop on Data Warehousing and OLAP  
In this vision paper we structure a vision for the Business Intelligence of the near future in terms of a model with novel concepts and operators.  ...  The family includes Sarawagi's Inform [17] (Interesting drill downs at various granularities, deviating from trends that what was already observed), or query recommendation techniques [12] .  ...  Numbers show the sequence of dashboard generation. Colored cells are results of data analytics operations annotating the dashboard data.  ... 
dblp:conf/dolap/VassiliadisM18 fatcat:na2ahu4vubaknpz4usrgmkuinq

Interactive Data Analysis with Next-step Natural Language Query Recommendation [article]

Xingbo Wang, Furui Cheng, Yong Wang, Ke Xu, Jiang Long, Hong Lu, Huamin Qu
2022 arXiv   pre-print
Also, the system helps users organize query histories and results into a dashboard to communicate the discovered data insights.  ...  Nevertheless, interactive data analysis is a demanding process, especially for novice data analysts.  ...  The typical recommendations include grouping (e.g., roll-up [49] , drill-down [23] ), attribute-value pairs [8] , data charts [57] , and data cubes [47, 48] .  ... 
arXiv:2201.04868v1 fatcat:au6u2mla5zaxpe5qzwdkw7x67e

Conversational BI: An Ontology-Driven ConversationSystem for Business Intelligence Applications

Abdul Quamar, Fatma Özcan, Dorian Miller, Robert J. Moore, Rebecca Niehus, Jeffrey Kreulen
2020 Proceedings of the VLDB Endowment  
Our user study demonstrates that our system is quite intuitive for gaining business insights from data.  ...  We also show that our approach not only captures the analysis available in the fixed application dashboards, but also enables new queries and explorations.  ...  -Drill down operation pattern: Access more granular information by adding dimensions to the current query.  ... 
dblp:journals/pvldb/QuamarOMMNK20 fatcat:esjmgm42jzdjno5nthvowrcnka
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