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  • 2019
  • Working Paper
  • HBS Working Paper Series

From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing

By: Mihnea Moldoveanu and Das Narayandas
  • Format:Print
  • | Language:English
  • | Pages:56
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Abstract

We examine the future of executive education on a technological and cultural landscape that is imminent but different to the one we are accustomed to. We show how the contextualization, socialization and personalization of learning—avowed but distal goals of current executive education programs—are made real by the integration of a suite of currently available technologies and ways of using them that bring learners together in dense and intimate learning networks (socialization), powered by semantic and social search technologies that adapt content to individual learners’ styles and preferences (personalization) and can be deployed in the setting of the learners’ own organizations (contextualization)—all of which serve to optimize the learning production function for both skill acquisition and skill transfer—the two charges that the new skills economy has laid out for any educational enterprise.

Keywords

Executive Education; Leadership Development; Technological Innovation; Customization and Personalization; Management Skills; Knowledge Acquisition; Knowledge Sharing

Citation

Moldoveanu, Mihnea, and Das Narayandas. "From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing." Harvard Business School Working Paper, No. 20-061, November 2019.
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About The Author

Das Narayandas

Marketing
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