Indigenizing the IT Curriculum by Design

2023 | Communications of the Association for Information Systems | Citations: 0

Authors: Romano, Rosetta; John, Blooma; MacKrell, Dale; Qureshi, Sumaira; Applebee, Wayne; Copeman, Peter

Abstract: Note: Acknowledgment of Country: We wish to acknowledge the Ngunnawal people, T ... Expand

Abstract: Note: Acknowledgment of Country: We wish to acknowledge the Ngunnawal people, Traditional Custodians of the lands where the University of Canberra's primary campus is situated, and their ongoing connection to country, lands, and water. We pay respect to their Elders present and past and honor their enduring cultural ways of being, knowing, doing, and learning, and the continuing contribution they make to the life of Canberra and the region. We also express our gratitude for the generosity of First Nations people in sharing their culture and supporting us to undertake this Abstract:In the context of an institution-wide initiative of the University of Canberra (UC), Australia, to mandate the Indigenization of the curriculum in all its courses, this descriptive case study reports on a pilot project to redesign the syllabus of an Information Technology (IT) unit that is a mandatory capstone for all students undertaking IT degrees. The capstone previously included no Indigenous-related content or pedagogical approaches. Indigenizing of the unit was achieved by embedding and interconnecting Tyson Yunkaporta's (2009) 8 Ways of Indigenous Learning with the unit's content, teaching methods, and assessments, along with the Indigenous collaborative learning method Yarning Circles, in a design that could be expressed and unified in the teaching delivery to inform continuous adjustment and improvement of the unit's curriculum, and also potentially inform the Indigenization of other UC IT units over time. A Design Science Research (DSR) methodology was put into action to evaluate the previous curriculum (as expressed in the offering of the unit), to design its Indigenized replacement, to implement it with student cohorts over two semesters, to collect data on the experience, and to reflect on the successes and challenges that arise. This methodology can also be applied reflexively in future iterative cycles of continuous adjustment and improvement of the unit's curriculum by its conveners and colleagues to inform Indigenized designs for other units that currently have no Indigenous-related content. The extensibility of DSR is proffered as a methodological contribution to the project.Note: Acknowledgment of Country: We wish to acknowledge the Ngunnawal people, Traditional Custodians of the lands where the University of Canberra's primary campus is situated, and their ongoing connection to country, lands, and water. We pay respect to their Elders present and past and honor their enduring cultural ways of being, knowing, doing, and learning, and the continuing contribution they make to the life of Canberra and the region. We also express our gratitude for the generosity of First Nations people in sharing their culture and supporting us to undertake this Indigenization of an IT Curriculum and pay special tribute to all First Abstract LearningAbstract learning occurs when we understand the concepts and meaning behind the content. Some examples of abstract concepts include things like love, democracy, pain, success, and racism. These concepts do not have a physical appearance and cannot be seen. Collapse

Topics: data management application programming interface internet technology digital divide legal context

Methods: design science survey design artifact case study simulation

Theories: semiotic theory

Predicting Blood Donors Using Machine Learning Techniques

2022 | Information Systems Frontiers | Citations: 0

Authors: Kauten, Christian; Gupta, Ashish; Qin, Xiao; Richey, Glenn

Abstract: The United States’ blood supply chain is experiencing market decline due to rece ... Expand

Abstract: The United States’ blood supply chain is experiencing market decline due to recent innovations in surgical practice, transfusion management, and hospital policy. These innovations strain US blood centers, resulting in cuts to surge capacities, consolidation, and reduced funding for research and outreach programs. In this study, we use data from a regional blood center to explore the application of contemporary machine learning algorithms for modeling donor retention. Such predictive models of donor retention can be used to design more cost effective donor outreach programs. Using data from a large US blood center paired with random forest classifiers, we are able to build a model of donor retention with a Mathews correlation of coefficient of 0.851. Collapse

Topics: database system relational database supply chain management big data missing data

Methods: machine learning computational algorithm decision tree classification random forest classification gradient boosting

Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression

2021 | Decision Support Systems | Citations: 3

Authors: Lu, Yajun; Chen, Suhao; Miao, Zhuqi; Delen, Dursun; Gin, Andrew

Abstract: Detection and characterization of comorbidity, the presence of more than one dis ... Expand

Abstract: Detection and characterization of comorbidity, the presence of more than one distinct disorder or illness concurrently occurring among a specific cohort of patients, is an invaluable decision aid and a prominent challenge in healthcare research and practice. The aim of this paper is to design a novel visual analytics system that can support efficient pattern detection and intuitive visualization of comorbidity progression modeled via temporal disease networks (TDNs). In the underlying system, we proposed two new clustering tech­ nologies—temporal clustering and disease clustering to detect the time of notable progression changes and simplify the visualization of TDNs. Through two case studies on Clostridioides Difficile and stroke, we demon­ strate that the proposed system is able to provide evidence-based and visual insights regarding comorbidity progression effectively for clinical decision support. Collapse

Topics: health information system Python data warehouse decision support systems design

Methods: cluster analysis computational algorithm case study literature study structured literature research

DYNAMIC PRICING OF PRODUCT CLUSTERS: A MULTI-AGENT REINFORCEMENT LEARNING APPROACH

2019 | European Conference On Information Systems | Citations: 0

Authors: Kropp, Lennard Alexander; Korbel, Jakob J; Theilig, Max-Marcel

Abstract: Retailers sell a multitude of products which are interrelated to each other. How ... Expand

Abstract: Retailers sell a multitude of products which are interrelated to each other. However, often the strategies to price products neither consider these dependencies nor changing market conditions, resulting in inefficient price setting. The objective of this study is to investigate whether a system of multiple agents, each representing a single product, combined with a machine learning approach can optimize pricing strategies. To achieve this objective, a design science research approach is used to implement a multiagent reinforcement learning (MARL) system that learns a pricing policy for a product cluster and aims on maximizing the cluster’s total profits by optimizing the prices of products dynamically. Six market simulation scenarios with predetermined market events were used to evaluate the MARL system in comparison to static pricing strategies and single-agent approaches. In all six scenarios, the MARL system leads to increasing profits: The daily average profits were 7.8% higher in comparison to the static pricing strategy and even 27% higher in comparison with a single-agent approach. The results indicate that retailers can gain a significant competitive advantage by considering product clusters and utilize ML algorithms to implement dynamic pricing strategies. Collapse

Topics: price management conversational agent dynamic pricing pricing information system competitive advantage

Methods: simulation design science reinforcement learning literature study computational algorithm

Cheers to Untappd! Preferences for Beer Reflect Cultural Differences Around the World

2018 | Americas Conference on Information Systems | Citations: 0

Authors: Brito, Saulo; Baldykowski, Ariane; Miczevski, Sandro; Silva, Thiago

Abstract: Common methods to collect data to perform cross-cultural studies, such as interv ... Expand

Abstract: Common methods to collect data to perform cross-cultural studies, such as interviews or surveys, can be costly, thus, not scaling easily. Recently, studies have found evidence that data collected from location-based social networks (LBSNs) have the potential to revolutionize the study of urban societies. In this study, we investigate if preferences for beers shared in Untappd, an LBSN specialized in beer, reflect cultural differences. We explore an approach for identifying cultural similarities between groups of users considering preferences for beers. Using a large dataset of several cities in different countries worldwide, we found evidence that preferences for beers shared in Untappd reflect cultural differences that could be used to extract similarities between cultures, which could enable new services and applications. Collapse

Topics: cross cultural research Twitter recommender system data visualization website

Methods: hierarchical clustering cluster analysis literature study statistical hypothesis test exploratory data analysis

(Re)Negotiating Homeless Identity through Technology-Mediated Social Interaction

2015 | International Conference on Information Systems | Citations: 0

Authors: Keating, Byron; Mackrell, Dale; Campbell, John

Abstract: Prior research has explored homelessness and barriers to accessing digital techn ... Expand

Abstract: Prior research has explored homelessness and barriers to accessing digital technology. Our study will build on this evidence base by moving beyond a discussion of what technology is used, to better understand how these technologies are used, and the content and nature of communicative practices within homeless communities. This will be done by drawing together two important streams of homelessness research. The first stream focuses on the importance of connectedness for homeless persons. The second stream concentrates on the importance of identity for homeless persons, recognizing the negative impact of homelessness on an individual’s self-concept. Through the lens of boundary objects theory, technology-mediated social interaction will be viewed as providing a safe environment where homeless persons and service providers can develop mutual respect. The insights gathered will inform future interventions that aim to facilitate better social interaction among homeless persons, non-homeless persons, and the formal institutions supporting the homeless. Collapse

Topics: information system use sensemaking Facebook Twitter mobile system

Methods: qualitative interview ethnography qualitativ observational study synthesis

Theories: boundary objects theory

Test Case Selection Using CBIR and Clustering

2013 | Americas Conference on Information Systems | Citations: 0

Authors: Narciso, Everton Note

Abstract: Choosing test cases for the optimization process of information systems testing ... Expand

Abstract: Choosing test cases for the optimization process of information systems testing is crucial, because it helps to eliminate unnecessary and redundant testing data. However, its use in systems that address complex domains (e.g. images) is still underexplored. This paper presents a new approach that uses Content-Based Image Retrieval (CBIR), similarity functions and clustering techniques to select test cases from an image-based test suite. Two experiments performed on an image processing system show that our approach, when compared with random tests, can significantly enhance the performance of tests execution by reducing the test cases required to find a fault. The results also show the potential use of CBIR for information abstraction, as well as the effectiveness of similarity functions and clustering for test case selection. Collapse

Topics: systems development internet technology Java

Methods: experiment cluster analysis image processing machine learning chi squared test

Reviews

2012 | International Journal of Information Management | Citations: 0

Authors: Fitz-Gerald, Stuart James; Wiggins, Bob

Abstract: ... Expand

Abstract: Collapse

Topics: information system use

Methods: case study

Editorial

2011 | International Journal of Information Management | Citations: 0

Authors: Hills, Philip J.

Abstract: entitled 'The role of information in strategic decisionmaking.' This paper inve ... Expand

Abstract: entitled 'The role of information in strategic decisionmaking.' This paper investigates the way information is obtained, analysed, judged and applied by executives in industry that have to take strategic decisions. Executives from thirteen companies in The Netherlands and in Germany were interviewed about the stages in the decision process that they followed. They were found to follow a rational approach collecting and using ample information in a structured decision-making process passing through a number of distinct phases in time. Information played a crucial role in reducing uncertainty. Over all the aspect of the quality of the information used by the board was stressed.Our second paper is 'Strategic Knowledge Management, Innovation and Performance' by Carolina López-Nicolás and Angel Meroño-Cerdan, Department of Management and Finance University of Murcia, Murcia, Spain. Based on the study of 310 Spanish organizations, results show that both KM strategies (codification and personalisation) impact on innovation and organisational performance directly and indirectly through an increase in innovation capability. Findings also demonstrate the effect of KM strategies on various dimensions of organisational performance.There then follows a paper entitled 'Understanding customer experiences in online blogs environments. ' The authors indicate that blogs are an influential medium with enormous marketing power but the credibility of blogs plays an important role in shaping consumer purchase intentions and decisions. A theoretical framework concerning the relationship of information credibility, customer experiences, and purchase intention in the blog environment was designed and data collected from 468 subjects in specific corporate blogs. Results indicate that information credibility is critical for facilitating customer experiences. Detailed theoretical and managerial implications are presented.Our next paper is 'How iPhone Innovators changed their Consumption in iDay2: Hedonic Post or Brand Devotion' by Emílio J.M. Arruda-Filho and Mark Michael Lennon, The Sellinger School of Business and Management, University of Maryland, Loyola, US. Using evidence on iPhone usage, this study suggests that devoted and innovative consumers adopt and use new technology for hedonic experiences and social positioning. This article presents an analysis of the behavior of iPhone users after their experience with iPhone v1 and its successive iterations, prior to the release of Apple's latest model the iPhone 4. This study suggests that innovators prefer really new products instead of upgraded ones, because Collapse

Topics: Apple iPhone blog innovation management knowledge management knowledge management strategy

Methods: literature study case study

Theories: technology acceptance model

Engagement in e-Government Business Case Justification? : A Case for Constructive Technology Assessment

2010 | Americas Conference on Information Systems | Citations: 0

Authors: Letch, Nick

Abstract: Although there have been many grand visions for the transformative capacity of e ... Expand

Abstract: Although there have been many grand visions for the transformative capacity of e-Government initiatives, the actual realization of these visions has met with mixed results. This paper argues that current approaches to appraising the benefits and consequences of e-government initiatives are constrained by a narrow technologically determinist perspective focused on ICT investment rather than policy and service outcomes. An analysis of the Australian Federal Government’s approach to justifying e-Government initiatives provides the basis for recommending an alternative, complementary approach based on Constructive Technology Assessment which provides stakeholders with opportunities through which they can influence the shaping of the infrastructure. Collapse

Topics: government system IT investment information system use information management website