Designing Online Information Aggregation and Prediction Markets for MBA Courses
نویسندگان
چکیده
منابع مشابه
Designing Online Information Aggregation and Prediction Markets for MBA Courses
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 under...
متن کاملPreconditions for Information Aggregation in Prediction Markets
We study necessary and sufficient conditions for information to aggregate in a stylized one-shot unit-demand uniform-price prediction market. We show that, in the increasing symmetric equilibrium, the market price properly aggregates information if and only if (i) the number of realized trades is non-negligible compared to number of market participants, and (ii) there is no uncertainty about th...
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Connective massive open online courses (MOOC) for teachers from Ukraine and Russia were conducted in 2011-2013. They were: Strategy of Distance Learning in the Organization, Social Services in Distance Learning, Distance Learning from A to Z, Designing Online Courses. The accumulated experience allowed to develop recommendations for each ADDIE step of MOOC designing for the Russian-speaking aud...
متن کاملAggregation of Information and Beliefs in Prediction Markets∗
We propose a simple model of prediction markets in which traders with heterogeneous prior beliefs and private information are allowed to risk a limited amount of money. For any given information realization, the equilibrium price can be interpreted as a posterior belief given a representative market prior belief. However, across information realizations, we show that this market prior belief is...
متن کاملArtificial Prediction Markets for Online Prediction
In this dissertation, we propose an online learning technique to predict a value of a continuous variable by (i) integrating a set of data streams from heterogeneous sources with time varying compositions including (a) changing the quality of data streams, (b) addition or deletion of data streams (ii) integrating the results of several analysis algorithms for each data source when the most suit...
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ژورنال
عنوان ژورنال: Interdisciplinary Journal of e-Skills and Lifelong Learning
سال: 2009
ISSN: 2375-2084,2375-2092
DOI: 10.28945/76