Web Based Enterprise Business Intelligence Maturity (EBI2M) Assessment Tool

Abstract. Standard practice of setting up Soil and Water Assessment Tool (SWAT) involves use of a single land use (LU) layer under the assumption that no change takes place in LU condition irrespective of the length of simulation period. This assumption leads to erroneous conclusions about efficacy of management practices in those watersheds where land use changes (LUCs) (e.g. agriculture to urban, forest to agriculture etc.) occur during the simulation period. To overcome this limitation, we have developed a user-friendly, web-based tool named LUU Checker that helps create a composite LU layer by integrating multiple years of LU layers available in watersheds of interest. The results show that the use of composite LU layer for hydrologic response unit (HRU) delineation in 2474-km2 L’Anguile River Watershed in Arkansas was able to capture changed LU at subbasin level by using LU data available in the year 1999 and 2006, respectively. The web-based tool is applicable for large size watersheds and is accessible to multiple users from anywhere in the world. Keywords: Land use, Web-based tool, SWAT, LUU Checker.

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A Web-Based Team-Oriented Medical Error Communication Assessment Tool: Development, Preliminary Reliability, Validity, and User Ratings

Teaching and Learning in Medicine ◽

10.1080/10401334.2011.536896 ◽

2011 ◽

Vol 23 (1) ◽

pp. 68-77 ◽

Cited By ~ 10

Author(s):

Sara Kim ◽

Doug Brock ◽

Carolyn D. Prouty ◽

Peggy Soule Odegard ◽

Sarah E. Shannon ◽

...

Keyword(s):

Medical Error ◽

Assessment Tool ◽

Tool Development ◽

Web Based ◽

Communication Assessment ◽

User Ratings

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BUSINESS INTELLIGENCE AND DATA ANALYSIS IN AN ADAPTIVE WEB-BASED INTEGRATED LEARNING ENVIRONMENT

INTED2017 Proceedings ◽

10.21125/inted.2017.1395 ◽

2017 ◽

Author(s):

Marek Mędrek ◽

Anna Tatarczak

Keyword(s):

Data Analysis ◽

Learning Environment ◽

Business Intelligence ◽

Integrated Learning ◽

Web Based ◽

Integrated Learning Environment

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Integrated Supply Chain Intelligence through Collaborative Planning, Analytics and Monitoring

Advances in Business Information Systems and Analytics - Electronic Supply Network Coordination in Intelligent and Dynamic Environments ◽

10.4018/978-1-60566-808-6.ch003 ◽

2011 ◽

pp. 43-92 ◽

Cited By ~ 7

Author(s):

Nenad Stefanovic ◽

Dusan Stefanovic ◽

Bozidar Radenkovic

Keyword(s):

Supply Chain ◽

Performance Management ◽

Business Intelligence ◽

Service Oriented Architecture ◽

Collaborative Planning ◽

Research Trends ◽

Future Research ◽

Web Based ◽

Service Oriented ◽

Integrated Supply Chain

As supply chains are growing increasingly complex, from linear arrangements to interconnected, multi-echelon, collaborative networks of companies, there is much more information that needs to be stored and analyzed than there was just a few years ago. Today, there are variety of business initiatives and technologies such as joint planning and execution, business intelligence, performance management, data mining and alerting that can be used for more efficient supply chain management. However, organizations still lack methods, processes and tools to successfully design and implement these systems. In this chapter, the authors present the integrated supply chain intelligence (SCI) system that enables collaborative planning and decision making through web-based analytics and process monitoring. The system is process based and utilizes business intelligence and Internet technologies. Multi-layered and service-oriented architecture enables composition of the new breed of SCI applications. They describe main elements and capabilities of the system, its advantages over existing systems and also discuss future research trends and opportunities.

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Developing a Web-Based Cost Assessment Tool for Colorectal Cancer Screening Programs

Preventing Chronic Disease ◽

10.5888/pcd16.180336 ◽

2019 ◽

Vol 16 ◽

Cited By ~ 5

Author(s):

Sonja Hoover ◽

Sujha Subramanian ◽

Florence Tangka

Keyword(s):

Colorectal Cancer ◽

Cancer Screening ◽

Colorectal Cancer Screening ◽

Assessment Tool ◽

Cost Assessment ◽

Web Based ◽

Screening Programs

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An Adaptive Feedback Framework to Support Reflection, Guiding and Tutoring

Advances in Web-Based Education ◽

10.4018/978-1-59140-690-7.ch008 ◽

2006 ◽

pp. 178-202 ◽

Cited By ~ 12

Author(s):

Evangelia Gouli ◽

Agoritsa Gogoulou ◽

Kyparisia A. Papanikolaou ◽

Maria Grigoriadou

Keyword(s):

Concept Mapping ◽

Assessment Tool ◽

Layer Structure ◽

Individual Characteristics ◽

Preliminary Evaluation ◽

Personalized Feedback ◽

Web Based ◽

Adaptive Feedback ◽

Computer Based Learning ◽

Adaptive Presentation

In this chapter, an adaptive feedback framework (AFF) is proposed for the provision of personalized feedback accommodating learners’ individual characteristics and needs in the context of computer-based learning environments. Multiple informative, tutoring, and reflective feedback components (ITRFC) are incorporated into the framework, aiming to stimulate learners to reflect on their beliefs, to guide and tutor them towards the achievement of specific learning outcomes and to inform them about their performance. The proposed framework adopts a scheme for the categorization of learners’ answer, introduces a multi-layer structure and a stepwise presentation of the ITRFC and supports adaptation of the provided feedback both in the dimensions of adaptivity and adaptability. The adaptivity of the AFF is based on the gradual provision of the ITRFC and on the adaptive presentation of the ITRFC according to the learner’s knowledge level, preferences and interaction behaviour. The adaptability of the AFF enables learners to have control over the feedback presentation in order to guide the adaptive dimension of the framework. In the context of the Web-based concept map assessment tool referred to as COMPASS, the proposed framework has been adopted for the provision of personalized feedback in concept mapping tasks. A preliminary evaluation of the framework in the context of COMPASS showed that the AFF led the majority of the learners in reviewing their maps, reconsidering their beliefs and accomplishing successfully the underlying concept mapping task.

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Self-reported dietary energy intake of normal weight, overweight and obese adolescents

Public Health Nutrition ◽

10.1017/s1368980008003108 ◽

2009 ◽

Vol 12 (2) ◽

pp. 222-227 ◽

Cited By ~ 54

Author(s):

Vivienne A Vance ◽

Sarah J Woodruff ◽

Linda J McCargar ◽

Janice Husted ◽

Rhona M Hanning

Keyword(s):

Energy Intake ◽

Weight Status ◽

Assessment Tool ◽

Dietary Assessment ◽

Total Sample ◽

Normal Weight ◽

Dietary Energy ◽

Web Based ◽

Dietary Recall ◽

The Mean

AbstractObjectiveThe purpose of the present paper was to assess dietary energy reporting as a function of sex and weight status among Ontario and Alberta adolescents, using the ratio of energy intake (EI) to estimated BMR (BMRest).DesignData were collected using the FBQ, a validated web-based dietary assessment tool (including a 24 h dietary recall, FFQ, and food and physical activity behavioural questions). BMI was calculated from self-reported height and weight and participants were classified as normal weight, overweight or obese. BMR was calculated using the WHO equations (based on weight). Reporting status was identified using the ratio EI:BMRest.SettingData were collected in public, Catholic and private schools in Ontario and Alberta, Canada.SubjectsA total of 1917 (n876 male andn1041 female) students (n934 grade 9 andn984 grade 10) participated.ResultsThe mean EI:BMRestratio across all participants was 1·4 (sd0·6), providing evidence of under-reporting for the total sample. Females under-reported more than males (t= 6·27,P< 0·001), and under-reporting increased with increasing weight status for both males (F= 33·21,P< 0·001) and females (F= 14·28,P< 0·001). After removing those who reported eating less to lose weight, the EI:BMRestwas 1·56 (sd0·6) for males and 1·4 (sd0·6) for females.ConclusionThe present study highlights methodological challenges associated with self-reported dietary data. Systematic differences in under-reporting of dietary intake by gender and weight status were observed using a web-based survey, similar to observations made using paper-based 24 h recalls and dietitian interviews.

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