Designing the spreadsheet-based decision support systems course: An application of Bloom's taxonomy

Tyran, Craig K.

doi:10.1016/j.jbusres.2009.03.009

Cited by 15 publications

(8 citation statements)

References 23 publications

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“…Spreadsheet‐based DSSs have become increasingly popular in both research and business in recent years (Ragsdale et al ., ; Tyran, ). The application domains for spreadsheet DSSs are as varied as the data and models used for decision support.…”

Section: Literature Reviewmentioning

confidence: 98%

Tracking a benchmark index – using a spreadsheet‐based decision support system as the driver

2012

Expert Systems

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This paper presents a two‐phase quantitative approach for enhanced index investing based on the mean‐variance model and the goal programming method. In the first stage, we use the mean‐variance theory to select better performing stocks for an investment pool. Then, in the second stage, we use a goal programming method to weight the selected stocks by balancing both the tracking error and the rate of return. In addition to the theoretical formulation, we construct a spreadsheet‐based decision support system (DSS) based on the transaction data to help resolve the index tracking problem. The paper contributes to the literature in two ways. For academics, we present original discussions on combining an interdisciplinary mean‐variance model and a goal programming method. Unlike the conventional approach used for enhanced index investing that requires a fund manager to actively buy and sell stocks to improve returns, our approach is based on historical data and deduces subjective judgments. Meanwhile, for practitioners, we present an original discussion on using a DSS to support index investing. The results of an empirical survey of the Taiwan stock market are also presented.

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Section: Literature Reviewmentioning

confidence: 98%

Tracking a benchmark index – using a spreadsheet‐based decision support system as the driver

2012

Expert Systems

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“…One of the basic frameworks for assessing the compliance of tasks with learning objectives is Bloom's taxonomy of learning (Bloom et al, 1956). Bloom's taxonomy of learning was originally developed to provide a theoretical framework for learning assessment and the testing of learning materials (Tyran, 2010), which was later adapted by Krathwohl (2002). According to the revised version of Bloom's taxonomy, the hierarchical learning levels shown in Figure 1 represent stages to progressively target.…”

Section: Framework For Evaluating Learning Materialsmentioning

confidence: 99%

A teaching concept for auditing – evaluation of the ILPA case

Baldauf

Graschitz

Müller

2020

Accounting Education

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The purpose of this paper is to answer the question: Does an innovative audit teaching concept and its application provide the required level of quality and adequacy for its purpose as a teaching resource for use in a higher education setting? To answer this question, data from a teaching resource (the 'International-Learning-Platform-for-Accountancy' as part of the Erasmus+ project ILPA) were analysed. A case study research design is applied to provide empirical evidence on the teaching resource's quality and its application during three specific learning events. We find that: the teaching material fulfils the criteria developed by the main reference education literature, and from the students' perspective the audit teaching resource as applied within a learning event, met their academic needs. This means that the design of this audit teaching resource is in line with existing literature, its instructional recommendations are manageable, and its application fulfils the needs of students.

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“…The levels of learning are based on the well-known Bloom's taxonomy of educational objectives, which is a hierarchical scheme of classifying thinking according to six cognitive levels of complexity, each requiring mastery of the prior skill before the next one can be achieved (Bloom, Engelhart, Furst, Hill, & Krathwohl, 1956). This taxonomy, especially the cognitive domain, has been applied to the teaching of numerous subjects, including decision support systems (Tyran, 2010) and online instruction (Chyung & Stepich, 2003). Several alternative and updated frameworks have been proposed over the decades.…”

Section: Educational Value and Branded Digital Marketing Certificatiomentioning

confidence: 99%

Assessing the Pedagogical Value of Branded Digital Marketing Certification Programs

Spiller

Tuten

2019

Journal of Marketing Education

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Preparing students for careers in digital marketing requires marketing educators to design and deliver courses with relevant and timely content and learning activities that facilitate knowledge comprehension and skill acquisition. Marketing educators may incorporate online training and certification programs on digital marketing in their courses to address this challenge. Branded digital marketing certifications are one type of such training. While these programs provide affordable (and often free) educational materials on digital marketing topics, their pedagogical soundness and value is largely unexplored. This article describes the findings of a research study which assessed the pedagogical value of and implementation considerations relevant to marketing educators who wish to incorporate branded digital marketing certification programs into their course designs.

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Designing the spreadsheet-based decision support systems course: An application of Bloom's taxonomy

Cited by 15 publications

References 23 publications

Tracking a benchmark index – using a spreadsheet‐based decision support system as the driver

Tracking a benchmark index – using a spreadsheet‐based decision support system as the driver

A teaching concept for auditing – evaluation of the ILPA case

Assessing the Pedagogical Value of Branded Digital Marketing Certification Programs

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