Many Heads Are Better Than One: Enhanced Collective Intelligence Online

Concurrent Session 5

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Brief Abstract

This session investigates the intersection of information, collective intelligence, human interaction, and online instruction. Benefits and issues related to collective intelligence are detailed, and research-based conditions for optimum collective intelligence, including its transformation through online environments, are explained.

Presenters

Dr. Lesley Farmer, Professor at California State University (CSU) Long Beach, coordinates the Librarianship program, and was named as the university’s Outstanding Professor. She also manages the CSU ICT Literacy Project. She earned her M.S. in Library Science at the University of North Carolina Chapel Hill, and received her doctorate in Adult Education from Temple University. Dr. Farmer chaired the IFLA’s School Libraries Section, and is a Fulbright scholar. A frequent presenter and writer for the profession, she won American Library Association’s Phi Beta Mu Award for library education, the International Association of School Librarianship Commendation Award, and the SLA Education Division Anne Gellar Award. Dr. Farmer’s research interests include digital citizenship, information literacy, and data analytics. Her most recent books are Library Improvement through Data Analytics (ALA, 2016) and Managing the Successful School Library (ALA, 2017).

Extended Abstract

The wisdom society is the latest iteration of the idea of collective intelligence, which has accelerated due to social media and other online collaborative tools. This session investigates the intersection of information, collective intelligence, human interaction, and online instruction. Several theories relate to collective intelligence (Albors, 2008; Berstein, 2012; Gan, 2007; Levy, 1997; Malone, 2010; Surowiecki, 2004; Tapscott, 2006; Wong, 2012). Benefits and issues related to collective intelligence are detailed, and conditions for optimum collective intelligence, including its transformation through online environments, are explained (Boder, 2006; Gregg, 2010; Hunt, 2010; Ilon, 2012; Paulini, 2014; Recker, 2014; Robinson, 2014). Research-based individual characteristics, group dynamics, and online processes are also discussed in terms of their impact on collective intelligence (Brabham; Croess, 2013; Kellet, 2009; Parvanta, 2013; Senge, 1990; Wooley, 2010). Examples of good practices are shared (Dai, 2013; Harney, 2014; Hildbrand, 2013; Tsai, 2011)

Session Outline:

I.   Information in the digital age (2 min.)

II.  Collective intelligence overview (5 min.)

                A. Benefits

              B. Issues

                C. Impact of social media and other online collective tools

III. Research-based conditions for collective intelligence

                A. Individual characteristics (5 min.)

                B. Group dynamics (5 min.)

                C. Online processes for optimizing collective intelligence (13 min.)

IV.  Group reflection: Good practices on collective intelligence in online courses (10 min.)

                A. Identify a course that is amenable to collective intelligence

                B. Strategize how to manage communication

                C. Strategize how to manage group dynamics

                D. Strategize how to optimize the process for optimum solutions

V.  Group sharing (pair-share and report out)