Towards Collaborative Learning At Scale

Speaker: Marti Hearst , UC Berkeley

Date: Friday, April 11, 2014

Time: 3:00 PM to 4:00 PM Note: all times are in the Eastern Time Zone

Refreshments: 2:45 PM

Public: Yes

Location: 32-D463 (Star Conference Room)

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Contact: Juho Kim,

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Reminder Subject: TALK: Towards Collaborative Learning At Scale

Massive Open Online Courses (MOOCs) have emerged as a new and provocative approach to education. MOOCs as initially deployed incorporate an innovative learning technique, at least compared to the standard computer science in-person classroom, consisting of sequences of very short lecture segments followed by student learning activities.

The education literature shows strong support for the pedagogical value of pausing to check student comprehension after short presentations of material, as the MOOC active learning exercises do. The literature also shows, though, that the effects are even stronger if students engage with the material in small groups before progressing to the next set of material. These benefits can include improving critical thinking skills, retention of learned information, interest in subject matter, and class morale. This practice is variously known as peer learning, collaborative learning, and cooperative learning, and has been studied both in the classroom and online in the field of Computer Supported Collaborative Learning. However, it has never been studied at scale.

At the same time, MOOCs are not set up for real-time collaboration. In our research, we are putting the two ideas together, and are working towards the goal of improving retention and learning in MOOCs. This talk will discuss early-stage research into the incorporation of collaborative learning at scale, with the goal of incorporating it into MOOCs.

Joint work with Bjoern Hartmann, Armando Fox, Derrick Coetzee, and Taek Lim

Dr. Marti Hearst is a professor in the School of Information at UC Berkeley, with an affiliate appointment in the Computer Science Division. Her primary research interests are user interfaces for search engines, information visualization, natural language processing and, more recently, improving MOOCs. She was recently named a Fellow of the ACM, and has won two departmental Excellence in Teaching Awards. She is also known for the book Search User Interfaces and for the Flamenco project which advanced faceted navigation as a standard search technique, for lexico-syntactic patterns for ontology discovery (“Hearst patterns”), and the TextTiling discourse segmentation technique.

She received her BA, MS, and PhD degrees in Computer Science from the University of California at Berkeley, and she was a Member of the Research Staff at Xerox PARC from 1994 to 1997. Prof. Hearst has served on the Advisory Council of NSF's CISE Directorate and is on the Web Board for CACM, is a member of the Usage Panel for the American Heritage Dictionary and is on the panel of experts. Prof. Hearst is on the editorial board of ACM Transactions on Computer-Human Interaction and was formerly on the boards of ACM Transactions on the Web, Computational Linguistics, ACM Transactions on Information Systems, and IEEE Intelligent Systems. Prof. Hearst has received an NSF CAREER award, an IBM Faculty Award, a Google Research Award, and an Okawa Foundation Research Grant.

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Created by Juho Kim Email at Wednesday, April 02, 2014 at 12:22 PM.