Designing Online Information Aggregation and Prediction Markets for MBA Courses.

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Title: Designing Online Information Aggregation and Prediction Markets for MBA Courses.
Authors: Raban, Daphne R.1 draban@gsb.haifa.ac.iI, Geifman, Dorit1 dqeifman@gsb.haifa.ac.iI
Source: Interdisciplinary Journal of E-Learning & Learning Objects. 2009, Vol. 5, p247-262. 16p. 1 Diagram, 1 Chart, 3 Graphs.
Subject Terms: *Educational evaluation utilization, *Master of business administration degree, *Computer assisted instruction, Online information services, Financial markets, Market prices
Abstract: At our School of Management, novel Internet-based tools are employed in order to enrich the instruction of theoretical aspects of decision making with hands-on experience and expose the students to these unique tools. One example is the incorporation of online Information Markets that use the financial markets mechanism as an information aggregation and processing engine. In this case the underlying asset is a statement to be evaluated or an event to be forecasted. The resulting market price reflects the traders' collective opinion as to the event's probability of occurring or the statement to be corrected. In class, three types of preconceived markets are implemented in order to expose the students to the versatility of the tool: prediction markets, information aggregation markets, and opinion markets. The hands-on activity was found to be essential for enhancing the understanding of this complex topic, and it added interest and excitement to the lessons. Furthermore, by surfacing opinions and attitudes of the students, this activity can assist in improving instruction processes and in-class dialogue. The development of an effective teaching environment required a substantial investment in time, but the direct monetary costs were relatively low. [ABSTRACT FROM AUTHOR]
Copyright of Interdisciplinary Journal of E-Learning & Learning Objects is the property of Informing Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Interdisciplinary+Journal+of+E-Learning+%26+Learning+Objects%22">Interdisciplinary Journal of E-Learning & Learning Objects</searchLink>. 2009, Vol. 5, p247-262. 16p. 1 Diagram, 1 Chart, 3 Graphs.
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  Data: *<searchLink fieldCode="DE" term="%22Educational+evaluation+utilization%22">Educational evaluation utilization</searchLink><br />*<searchLink fieldCode="DE" term="%22Master+of+business+administration+degree%22">Master of business administration degree</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Financial+markets%22">Financial markets</searchLink><br /><searchLink fieldCode="DE" term="%22Market+prices%22">Market prices</searchLink>
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  Data: At our School of Management, novel Internet-based tools are employed in order to enrich the instruction of theoretical aspects of decision making with hands-on experience and expose the students to these unique tools. One example is the incorporation of online Information Markets that use the financial markets mechanism as an information aggregation and processing engine. In this case the underlying asset is a statement to be evaluated or an event to be forecasted. The resulting market price reflects the traders' collective opinion as to the event's probability of occurring or the statement to be corrected. In class, three types of preconceived markets are implemented in order to expose the students to the versatility of the tool: prediction markets, information aggregation markets, and opinion markets. The hands-on activity was found to be essential for enhancing the understanding of this complex topic, and it added interest and excitement to the lessons. Furthermore, by surfacing opinions and attitudes of the students, this activity can assist in improving instruction processes and in-class dialogue. The development of an effective teaching environment required a substantial investment in time, but the direct monetary costs were relatively low. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Interdisciplinary Journal of E-Learning & Learning Objects is the property of Informing Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 247
    Subjects:
      – SubjectFull: Educational evaluation utilization
        Type: general
      – SubjectFull: Master of business administration degree
        Type: general
      – SubjectFull: Computer assisted instruction
        Type: general
      – SubjectFull: Online information services
        Type: general
      – SubjectFull: Financial markets
        Type: general
      – SubjectFull: Market prices
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      – TitleFull: Designing Online Information Aggregation and Prediction Markets for MBA Courses.
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              Text: 2009
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              Y: 2009
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            – TitleFull: Interdisciplinary Journal of E-Learning & Learning Objects
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