Using technology to automate syllabus construction for programmatic, curricular, faculty and experiential assessment activities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maryann Wu ◽  
Dabrick A. Brill ◽  
Mrunmayee Prakash Shirodkar ◽  
Jianxuan Tan ◽  
Mukesh Poptani ◽  
...  
Keyword(s):  
Data Analytics ◽  
Shared Responsibility ◽  
Methods Course ◽  
Program Outcomes ◽  
Web Based ◽  
Content Type ◽  
Curriculum Assessment ◽  
Disease States ◽  
Faculty Teaching ◽  
Business Operations

PurposeWith a growing need to assess multiple aspects of healthcare education, the goal of this study was to develop an innovative web-based application to streamline assessment processes and meet the increasingly complex role of the educational manager.Design/methodology/approachAARDVARC (Automated Approach to Reviewing and Developing Valuable Assessment Resources for your Curriculum) was created with the core function of standardizing course syllabi through the use of a web-based portal and the ability to query fields within the portal to collect multiple points of data. AARDVARC permits quick and efficient gathering of programmatic, curricular, faculty, teaching, preceptor and financial data to facilitate meaningful change and a shared responsibility of assessment. This software has allowed automatic completion of complex analytics each semester, including coverage of program outcomes, course learning objectives, teaching and assessment methods, course readings, topics covered in the curriculum, faculty teaching hours, experiential activities, coverage of disease states and scheduling of peer observation of teaching.FindingsThree years after its initial launch, AARDVARC is now used by 520 faculty, 60 staff, 44 preceptors and over 2,000 students across multiple health profession and science programs. Data analytics through AARDVARC have allowed the School to reimagine how assessment can be conducted and have provided a pathway for making evidence-based programmatic and curricular changes.Originality/valueThis original software has provided an innovative approach to conduct assessment that combines best practices in curriculum, assessment, data analytics and educational technology while improving the overall quality, speed, and efficiency of academic and business operations.

An experimental investigation of the impact of using big data analytics on customers’ performance measurement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Rabe Mohamed Elkmash ◽  
Magdy Gamal Abdel-Kader ◽  
Bassant Badr El Din
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Data Analytics ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Future Research ◽  
Web Based ◽  
Content Type ◽  
The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

scholarly journals The future of Big Data in facilities management: opportunities and challenges

Facilities ◽  
2017 ◽  
Vol 35 (13/14) ◽  
pp. 725-745 ◽  
Author(s):  
Vian Ahmed ◽  
Algan Tezel ◽  
Zeeshan Aziz ◽  
Magda Sibley
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Facilities Management ◽  
Business World ◽  
Content Type ◽  
Business Operations ◽  
Data Capturing ◽  
Industry Needs ◽  
Aec Industry

Purpose This paper aims to explore the current condition of the Big Data concept with its related barriers, drivers, opportunities and perceptions in the architecture, engineering and construction (AEC) industry with an emphasis on facilities management (FM). Design/methodology/approach Following a comprehensive literature review, the Big Data concept was investigated through two scoping workshops with industry experts and academics. Findings The value in data analytics and Big Data is perceived by the industry, yet the industry needs guidance and leadership. Also, the industry recognises the imbalance between data capturing and data analytics. Large IT vendors’ developing AEC industry-focused analytics solutions and better interoperability among different vendors are needed. The general concerns for Big Data analytics mostly apply to the AEC industry as well. Additionally, however, the industry suffers from a structural fragmentation for data integration with many small-sized companies operating in its supply chains. This paper also identifies a number of drivers, challenges and way-forwards that calls for future actions for Big Data in FM in the AEC industry. Originality/value The nature of data in the business world has dramatically changed over the past 20 years. This phenomenon is often broadly dubbed as “Big Data” with its distinctive characteristics, opportunities and challenges. Some industries have already started to effectively exploit “Big Data” in their business operations. However, despite many perceived benefits, the AEC industry has been slow in discussing and adopting the Big Data concept. Empirical research efforts investigating Big Data for the AEC industry are also scarce. This paper aims at outlining the benefits, challenges and future directions (what to do) for Big Data in the AEC industry with an FM focus.

Dave Snowden on KM and big data/analytics: interview with David J. Pauleen

2017 ◽  
Vol 21 (1) ◽  
pp. 12-17 ◽  
Author(s):  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Theory And Practice ◽  
Content Type ◽  
Face To Face ◽  
The Relationship ◽  
A Company ◽  
Practical Implications ◽  
Scientific Officer

Purpose Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the development of the theory and practice of social complexity, he offers informative views on the relationship between big data/analytics and KM. Design/methodology/approach A face-to-face interview was held with Dave Snowden in May 2015 in Auckland, New Zealand. Findings According to Snowden, analytics in the form of algorithms are imperfect and can only to a small extent capture the reasoning and analytical capabilities of people. For this reason, while big data/analytics can be useful, they are limited and must be used in conjunction with human knowledge and reasoning. Practical implications Snowden offers his views on big data/analytics and how they can be used effectively in real world situations in combination with human reasoning and input, for example in fields from resource management to individual health care. Originality/value Snowden is an innovative thinker. He combines knowledge and experience from many fields and offers original views and understanding of big data/analytics, knowledge and management.

Understanding Semantic Web: a conceptual model

2015 ◽  
Vol 64 (1/2) ◽  
pp. 82-100 ◽  
Author(s):  
Michael Calaresu ◽  
Ali Shiri
Keyword(s):  
Semantic Web ◽  
Conceptual Model ◽  
The Body ◽  
Three Dimensional Model ◽  
Conceptual Approach ◽  
Web Based ◽  
Content Type ◽  
Software Applications ◽  
Web Architecture ◽  
The Web

Purpose – The purpose of this article is to explore and conceptualize the Semantic Web as a term that has been widely mentioned in the literature of library and information science. More specifically, its aim is to shed light on the evolution of the Web and to highlight a previously proposed means of attempting to improve automated manipulation of Web-based data in the context of a rapidly expanding base of both users and digital content. Design/methodology/approach – The conceptual analysis presented in this paper adopts a three-dimensional model for the discussion of Semantic Web. The first dimension focuses on Semantic Web’s basic nature, purpose and history, as well as the current state and limitations of modern search systems and related software agents. The second dimension focuses on critical knowledge structures such as taxonomies, thesauri and ontologies which are understood as fundamental elements in the creation of a Semantic Web architecture. In the third dimension, an alternative conceptual model is proposed, one, which unlike more commonly prevalent Semantic Web models, offers a greater emphasis on describing the proposed structure from an interpretive viewpoint, rather than a technical one. This paper adopts an interpretive, historical and conceptual approach to the notion of the Semantic Web by reviewing the literature and by analyzing the developments associated with the Web over the past three decades. It proposes a simplified conceptual model for easy understanding. Findings – The paper provides a conceptual model of the Semantic Web that encompasses four key strata, namely, the body of human users, the body of software applications facilitating creation and consumption of documents, the body of documents themselves and a proposed layer that would improve automated manipulation of Web-based data by the software applications. Research limitations/implications – This paper will facilitate a better conceptual understanding of the Semantic Web, and thereby contribute, in a small way, to the larger body of discourse surrounding it. The conceptual model will provide a reference point for education and research purposes. Originality/value – This paper provides an original analysis of both conceptual and technical aspects of Semantic Web. The proposed conceptual model provides a new perspective on this subject.

COVID-19 considerations for SEC cybersecurity guidance, disclosure, enforcement, and parallel proceedings: navigating the new normal

2020 ◽  
Vol 21 (2/3) ◽  
pp. 111-126
Author(s):  
Aldo M. Leiva ◽  
Michel E. Clark
Keyword(s):  
Securities And Exchange Commission ◽  
Effective Vaccine ◽  
Resource Reallocation ◽  
Securities Litigation ◽  
Public Companies ◽  
Content Type ◽  
Business Operations ◽  
Expert Analysis ◽  
Securities Industry ◽  
Remote Operations

Purpose To examine the COVID-19 pandemic’s effects on regulated entities within the context of cybersecurity, US Securities and Exchange Commission (SEC) compliance, and parallel proceedings. Design/methodology/approach Describes the SEC’s ability to conduct its operations within the telework environment, its commitment and ability to monitor the securities market, its enhanced monitoring of the adverse effects of SEC-regulated companies from COVID-19, its guidance to public companies of disclosure obligations related to cybersecurity risks and incidents, the SEC Office of Compliance and Examinations’s (OCIE’s) focus on broker-dealers’ and investment advisories’ cybersecurity preparedness, the role and activities of the SEC Division of Enforcement’s Cyber Unit, and parallel proceedings on cyberbreaches and incidents by different agencies, branches of government or private litigants. Findings SEC-regulated entities face many challenges in trying to maintain their ongoing business operations and infrastructure due to severe financial pressures, the threat of infection to employees and customers, and cybersecurity risks posed by remote operations from hackers and fraudsters. The SEC has reemphasized that its long-standing focus on cybersecurity and resiliency within the securities industry will continue, including ongoing vigilance over companies’ efforts to identify, assess, and address the inherent, heightened cybersecurity risks of teleworking and the resource reallocation that business need to sustain their operations until a safe and effective vaccine is developed for COVID-19. Originality/value Expert analysis and guidance from experienced lawyers with expertise in securities, litigation, government enforcement, information technology, data protection, privacy and cybersecurity.

A framework for programmatically designing user interfaces in JavaScript

2015 ◽  
Vol 11 (3) ◽  
pp. 254-269
Author(s):  
Henry Larkin
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Design Methodology ◽  
Rapid Development ◽  
Program Code ◽  
Web Based ◽  
Content Type ◽  
Mobile Web ◽  
Mobile Interfaces ◽  
New Framework

Purpose – The purpose of this paper is to investigate the feasibility of creating a declarative user interface language suitable for rapid prototyping of mobile and Web apps. Moreover, this paper presents a new framework for creating responsive user interfaces using JavaScript. Design/methodology/approach – Very little existing research has been done in JavaScript-specific declarative user interface (UI) languages for mobile Web apps. This paper introduces a new framework, along with several case studies that create modern responsive designs programmatically. Findings – The fully implemented prototype verifies the feasibility of a JavaScript-based declarative user interface library. This paper demonstrates that existing solutions are unwieldy and cumbersome to dynamically create and adjust nodes within a visual syntax of program code. Originality/value – This paper presents the Guix.js platform, a declarative UI library for rapid development of Web-based mobile interfaces in JavaScript.

A comparison of student feedback obtained through paper-based and web-based surveys of faculty teaching

2007 ◽  
Vol 38 (6) ◽  
pp. 1085-1101 ◽  
Author(s):  
Ali Ardalan ◽  
Roya Ardalan ◽  
Samuel Coppage ◽  
William Crouch
Keyword(s):  
Student Feedback ◽  
Web Based ◽  
Faculty Teaching

User password repetitive patterns analysis and visualization

2016 ◽  
Vol 24 (1) ◽  
pp. 93-115 ◽  
Author(s):  
Xiaoying Yu ◽  
Qi Liao
Keyword(s):  
Security Policy ◽  
Large Data ◽  
Efficient Algorithms ◽  
Privacy And Security ◽  
Data Set ◽  
Web Based ◽  
Content Type ◽  
Word Cloud ◽  
Individual Privacy ◽  
Password Security

Purpose – Passwords have been designed to protect individual privacy and security and widely used in almost every area of our life. The strength of passwords is therefore critical to the security of our systems. However, due to the explosion of user accounts and increasing complexity of password rules, users are struggling to find ways to make up sufficiently secure yet easy-to-remember passwords. This paper aims to investigate whether there are repetitive patterns when users choose passwords and how such behaviors may affect us to rethink password security policy. Design/methodology/approach – The authors develop a model to formalize the password repetitive problem and design efficient algorithms to analyze the repeat patterns. To help security practitioners to analyze patterns, the authors design and implement a lightweight, Web-based visualization tool for interactive exploration of password data. Findings – Through case studies on a real-world leaked password data set, the authors demonstrate how the tool can be used to identify various interesting patterns, e.g. shorter substrings of the same type used to make up longer strings, which are then repeated to make up the final passwords, suggesting that the length requirement of password policy does not necessarily increase security. Originality/value – The contributions of this study are two-fold. First, the authors formalize the problem of password repetitive patterns by considering both short and long substrings and in both directions, which have not yet been considered in past. Efficient algorithms are developed and implemented that can analyze various repeat patterns quickly even in large data set. Second, the authors design and implement four novel visualization views that are particularly useful for exploration of password repeat patterns, i.e. the character frequency charts view, the short repeat heatmap view, the long repeat parallel coordinates view and the repeat word cloud view.

Can you measure IT? The UK experience of TechQual+

2014 ◽  
Vol 15 (1/2) ◽  
pp. 32-40 ◽  
Author(s):  
Ian Hall ◽  
Jessica Stephens ◽  
Sarah Kennedy
Keyword(s):  
Data Protection ◽  
Senior Managers ◽  
Web Based ◽  
Content Type ◽  
Survey Tool ◽  
Technology Services ◽  
Protection Legislation ◽  
The Uk ◽  
The University

Purpose – The University of York Library, part of its Information Directorate, has successfully run an annual user survey using LibQUAL+ since 2008. The tool has proven invaluable in understanding user needs and measuring improvements. The ability to benchmark performance has been well received by university senior managers. Following this positive experience, the Directorate piloted the TechQual+ survey to assess its technology services. TechQual+ is a total market-survey tool developed on the same principles as LibQUAL+. York was the first university in the UK to do this. The purpose of this paper is to reflect upon the experience and its relevance to information services. Design/methodology/approach – A team was established to co-ordinate the distribution of the survey, which was e-mailed to all university members. The survey was conducted over a period of three weeks in December 2011 using their web-based tool. The team worked with the survey providers to make amendments in order to comply with UK Data Protection legislation. Findings – The TechQual+ tool provided a rich set of data on the IT needs of University of York students and staff, including a wealth of comments. As the first use of the tool in the UK, a number of outcomes arose from the pilot: methods for running the survey in order to meet UK data protection requirements; feedback on the tool itself, with some questions not understood from a UK context; a rich set of results data, with some similarities (and several differences) to those available through LibQUAL+. Originality/value – The paper presents the first application of the TechQual+ survey in UK and discusses the issues faced when implementing it in a UK context. The case study will be of interest to libraries or converged services interested in assessing their IT provision.

Comparing collective bargaining agreements for developing countries

2015 ◽  
Vol 36 (1) ◽  
pp. 86-102 ◽  
Author(s):  
Janna Besamusca ◽  
Kea Tijdens
Keyword(s):  
Developing Countries ◽  
Collective Bargaining ◽  
Working Hours ◽  
Collective Bargaining Agreement ◽  
Web Based ◽  
Content Type ◽  
Paid Leave ◽  
Collective Agreements ◽  
Country Comparison ◽  
Work Family

Purpose – The purpose of this paper is to fill several knowledge gaps regarding the contents of collective agreements, using a new online database. The authors analyse 249 collective agreements from 11 countries – Benin, Brazil, Ghana, Indonesia, Kenya, Madagascar, Peru, Senegal, Tanzania, Togo, Uganda. The authors research to what extent wage and other remuneration-related clauses, working hours, paid leave arrangements and work-family arrangements are included in collective agreements and whether bargaining topics cluster within agreements. Design/methodology/approach – The authors use the web-based WageIndicator Collective Bargaining Agreement Database with uniformly coded agreements, that are both collected and made accessible online. The authors present a quantitative multi-country comparison of the inclusion and contents of the clauses in the agreements. Findings – The authors find that 98 per cent of the collective agreements include clauses on wages, but that only few agreements specify wage levels. Up to 71 per cent have clauses on social security, 89 per cent on working hours and 84 per cent of work-family arrangements. The authors also find that collective agreements including one of these four clauses, are also more likely to include the other three and conclude that no trade off exists between their inclusion on the bargaining agenda. Research limitations/implications – Being one of the first multi-country analyses of collective agreements, the analysis is primarily explorative, aiming to establish a factual baseline with regard to the contents of collective agreements. Originality/value – This study is unique because of its focus on the content of collective bargaining agreements. The authors are the first to be able to show empirically which clauses are included in existing collective agreements in developing countries.

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