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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.  ...  We demonstrate the insights the approach enables, exploring how the learning behaviour of an identified sub-cohort differs from the remaining students and how the derived insights can be used by instructors  ...  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.  ...  enable educators to identify, explore, and use appropriate interventions for subpopulations of students with the highest deviation in performance or learning process compared to the rest of the class.  ...  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

Descriptive and Predictive Analytics on Adventure Works Cycle: A Corporate Decision Making

2020 International journal of recent technology and engineering  
Business Analysis has become one of the crucial elements of any business in this data-driven business world.  ...  This paper investigates the big data problems of Adventure Works Cycles (AWC) by using analytical techniques and integrate different methods of knowledge discovery and data mining via descriptive and predicative  ...  It is based on affinity analysis to define as the process of identifying a relationship that occurs together in a group.  ... 
doi:10.35940/ijrte.e7007.038620 fatcat:pnj3k25dmneuxom3aflsrujf4u

Process Visualization Techniques for Multi-perspective Process Comparisons [chapter]

A. Pini, R. Brown, M. T. Wynn
2015 Lecture Notes in Business Information Processing  
Presently, research interest is directed towards the potential of visualization for the display of process models, to support users in their analysis tasks.  ...  Although recent literature in process mining and comparison provide several methods and algorithms to perform process and log comparison, few contributions explore novel visualization approaches.  ...  Finally, we are in the process of developing a set of software plug-ins for the process mining framework, ProM, based on their input and are also preparing an anonymous online survey in order to obtain  ... 
doi:10.1007/978-3-319-19509-4_14 fatcat:abod22exdjh2xfottt7ltur3me

Prostate cancer risk by occupation in the Occupational Disease Surveillance System (ODSS) in Ontario, Canada
Risque de cancer de la prostate par profession dans le Système de surveillance des maladies professionnelles de l'Ontario, Canada

Jeavana Sritharan, Jill S. MacLeod, Christopher B. McLeod, Alice Peter, Paul A. Demers
2019 Health Promotion and Chronic Disease Prevention in Canada  
ODSS included 1 231 177 male workers for the 1983 to 2015 period, whose records were linked to the Ontario Cancer Registry (OCR) in order to identify and follow up on prostate cancer diagnoses.  ...  This study uses occupation and prostate cancer information from a large surveillance cohort in Ontario that linked workers' compensation claim data to administrative health databases.  ...  There is evidence that cadmium and arsenic metal compounds are linked to prostate cancer risk based on IARC evaluations. 25 However, in this study it was not possible to narrow down occupations by specific  ... 
doi:10.24095/hpcdp.39.5.02 pmid:31091061 pmcid:PMC6580924 fatcat:o7clhv6cdzab5dv2mlt3ygwffe

Abstracts

2008 Journal of Direct Data and Digital Marketing Practice  
Contrasts the 20th-century management model with emphasis on The bold items in the margin describe the subject matter and are keywords for text retrieval.  ...  Each abstracted article is awarded 0 -5 stars for each of four qualities : (1) depth of research (2) value in practice (3) originality of thinking (4) readability for non-specialists.  ...  Sets out to improve our understanding of the behaviour of cohorts by investigating value differences between cohorts, where a cohort is defi ned as consisting of all (US) citizens born in the same period  ... 
doi:10.1057/dddmp.2008.19 fatcat:cjz4ebgjfrgwbk4f5gmjgaolii

Survey on Visual Analysis of Event Sequence Data [article]

Yi Guo, Shunan Guo, Zhuochen Jin, Smiti Kaul, David Gotz, Nan Cao
2020 arXiv   pre-print
In this paper, we review the state-of-the-art visual analytics approaches, characterize them with our proposed design space, and categorize them based on analytical tasks and applications.  ...  This high complexity of event sequence data makes it difficult for analysts to manually explore and find patterns, resulting in ever-increasing needs for computational and perceptual aids from visual analytics  ...  VASABI [71] summarise user behaviours by extracting their common tasks, and then identifies the groups of users based on user behaviors.  ... 
arXiv:2006.14291v1 fatcat:zmlsmiabzbec5cbtoltk3yc3oe

Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice [chapter]

Joao H. Bettencourt-Silva, Gurdeep S. Mannu, Beatriz de la Iglesia
2016 Lecture Notes in Computer Science  
In this paper, the literature in the area of data visualisation in healthcare is reviewed and a method for visualising the journeys that patients take through care is discussed.  ...  Routinely collected data in hospital Electronic Medical Records (EMR) is rich and abundant but often not linked or analysed for purposes other than direct patient care.  ...  Visual Data Mining can integrate the human in the data exploration process and can be seen as a hypothesis generation process based on visualisations [41] .  ... 
doi:10.1007/978-3-319-50478-0_5 fatcat:4zd7ataaj5hdhnauvareztad7q

A primer for use of genetic tools in selecting and testing the suitability of set-aside sites protected from deep-sea seafloor massive sulfide mining activities

Rachel E. Boschen, Patrick C. Collins, Verena Tunnicliffe, Jens Carlsson, Jonathan P.A. Gardner, Jonathan Lowe, Ann McCrone, Anna Metaxas, Frederic Sinniger, Alison Swaddling
2016 Ocean and Coastal Management  
A checklist for environmental regulators forms a guide to aid decision making on the suitability of set-aside design and assessment using genetic tools.  ...  How these techniques can be applied to set-aside decision making is discussed and recommendations are made for the genetic characteristics of set-aside sites.  ...  Kim Juniper provided valuable input to the workshop discussions and Ashley Rowden provided beneficial comments on the manuscript.  ... 
doi:10.1016/j.ocecoaman.2016.01.007 fatcat:bdichazepjeyznanmh57ttny2q

Business Process Variant Analysis: Survey and Classification [article]

Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi
2019 arXiv   pre-print
Process variant analysis aims at identifying and addressing the differences existing in a set of process executions enacted by the same process model.  ...  A process model can be executed differently in different situations for various reasons, e.g., the process could run in different locations or seasons, which gives rise to different behaviors.  ...  Process cubes provide operations such as slice, dice, roll-up, and drill-down to break down process data and compare different groups or process variants to highlight dissimilarities.  ... 
arXiv:1911.07582v2 fatcat:f6idtd3txbfjrcocnhiyzn2c44

A New Pedagogy to Enhance the Safety and Resilience of Journalists in Dangerous Environments Globally

Colm Murphy, Pat Deeny, Nigel Taylor
2020 Education Sciences  
However, the threat type has been changing, with the majority of journalists killed annually being ones working in their own country, often who are targeted for assassination.  ...  in training internationally for news professionals in dangerous environments.  ...  The new program's next cohort, in September 2019, benefitted from several adjustments to the pedagogy and an increase in the psychology and self-defence element based on feedback from the first cohort.  ... 
doi:10.3390/educsci10110310 fatcat:plvop2xfdffj3isp5lriyw6hre

What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project

Giuseppe Fico, Liss Hernanzez, Jorge Cancela, Arianna Dagliati, Lucia Sacchi, Antonio Martinez-Millana, Jorge Posada, Lidia Manero, Jose Verdú, Andrea Facchinetti, Manuel Ottaviano, Konstantia Zarkogianni (+9 others)
2019 BMC Medical Informatics and Decision Making  
By using a holistic approach, we have been able to understand user needs, behaviours and interactions and give new insights in the definition of effective Decision Support Systems to deal with the complexity  ...  In the case of T2D care, the UC resembles what identified in the need phase: U2.1-Top-down analysis for decision makers, to be used by managers in primary care or secondary care units as a drill down,  ...  process for risk predictions should be based on the comparisons with what detected by professionals; recommendations should be displayed in checkboxes, so to better select them depending on the risk estimation  ... 
doi:10.1186/s12911-019-0887-8 pmid:31419982 pmcid:PMC6697904 fatcat:sdwxacw6nrfenhqs4dydragqf4

Big data and data repurposing - using existing data to answer new questions in vascular dementia research

Fergus N. Doubal, Myzoon Ali, G. David Batty, Andreas Charidimou, Maria Eriksdotter, Martin Hofmann-Apitius, Yun-Hee Kim, Deborah A. Levine, Gillian Mead, Hermann A. M. Mucke, Craig W. Ritchie, Charlotte J. Roberts (+4 others)
2017 BMC Neurology  
In particular, we benefitted from the expert discussion and input of delegates at the 9 th International Congress on Vascular Dementia (Ljubljana, 16-18 th October 2015).  ...  Results: We agreed on key areas that could be of relevance to VaD research: systematic review of existing studies; individual patient level analyses of existing trials and cohorts and linking electronic  ...  using either exploratory or targeted ("drill-down") algorithms, or most likely by their sequential application [8] .  ... 
doi:10.1186/s12883-017-0841-2 pmid:28412946 pmcid:PMC5392951 fatcat:redd5kv3qbharbwrds4ikvz32m

Mitigating Bias in Algorithmic Systems: A Fish-Eye View of Problems and Solutions Across Domains [article]

Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Fausto Giunchiglia, Veronika Bogina, Avital Shulner Tal, AlanHartman, Tsvi Kuflik
2021 arXiv   pre-print
Mitigating bias in algorithmic systems is a critical issue drawing attention across communities within the information and computer sciences.  ...  toward a comprehensive treatment: bias detection, fairness management and explainability management, and underscores the need to work from within the system as well as from the perspective of stakeholders in  ...  The user maintains perspective of the "big picture," but can still choose when to drill down into further details.  ... 
arXiv:2103.16953v1 fatcat:4mqsx2lwbjclvez6uqj2fz3tya

Addressing the Complexities of Big Data Analytics in Healthcare: The Diabetes Screening Case

Daswin De Silva, Frada Burstein, Herbert F. Jelinek, Andrew Stranieri
2015 Australasian Journal of Information Systems  
We present a case study on a large diabetes screening project to integrate, converge and derive expedient insights from such an accumulation of data and make recommendations for a successful BDA implementation  ...  grounded in a participatory framework and the specificities of big data in healthcare context.  ...  The drill-down feature in age groups detects a significant drop in the number of 5-10 year hypertension cases in the age sub-groups of 70-75 and 75-80.  ... 
doi:10.3127/ajis.v19i0.1183 fatcat:z5afz377qna6lc3qfu6nhgkts4
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