Title:
How Educational Design Research Can Help Win the Race Between Human Learning and Machine Learning
How Educational Design Research Can Help Win the Race Between Human Learning and Machine Learning
| dc.contributor.author | Reeves, Thomas C. | |
| dc.contributor.corporatename | Georgia Institute of Technology. Center for 21st Century Universities | en_US |
| dc.contributor.corporatename | University of Georgia. Dept. of Career and Information Studies | en_US |
| dc.date.accessioned | 2019-03-14T12:06:28Z | |
| dc.date.available | 2019-03-14T12:06:28Z | |
| dc.date.issued | 2019-03-07 | |
| dc.description | Presented on March 7, 2019 at 12:00 p.m. in the Klaus Advanced Computing Building, Room 2405. | en_US |
| dc.description | Dr. Thomas C. Reeves (Tom) is Professor Emeritus of Learning, Design, and Technology in the College of Education at The University of Georgia. He is a former Fulbright Lecturer in Peru and he has been an invited speaker in the USA and more than 30 other countries. | en_US |
| dc.description | Runtime: 61:19 minutes | en_US |
| dc.description.abstract | Over the past 25 years, major advances have been made in the development of machine learning, also referred to as "deep learning," a branch of artificial intelligence (AI) whereby computers are programmed to analyze large data sets and make inferences about new data. The capacities of deep learning machines to see and understand, listen and speak, read and write, and integrate information and make judgments are developing at amazing rates. Among other uses, deep learning algorithms are automating jobs done by humans at an ever-increasing rate. While we have grown accustomed to thinking that robotics would take over most manufacturing tasks, most of us have not begun to grapple with what machine learning advances mean for the professions such as law, medicine, and education. These developments have major implications for education and training at all levels. Bold new educational design research initiatives are needed to increase the odds that humans will prevail in the accelerating race between human learning and machine learning. | en_US |
| dc.format.extent | 61:19 minutes | |
| dc.identifier.uri | http://hdl.handle.net/1853/60936 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | C21U Seminar | en_US |
| dc.subject | Educational design research | en_US |
| dc.subject | Learning | en_US |
| dc.title | How Educational Design Research Can Help Win the Race Between Human Learning and Machine Learning | en_US |
| dc.type | Moving Image | |
| dc.type.genre | Lecture | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | Center for 21st Century Universities | |
| local.relation.ispartofseries | C21U Seminars | |
| relation.isOrgUnitOfPublication | 9539b5e2-bb0f-4846-88f5-24bffdbe4a42 | |
| relation.isSeriesOfPublication | 2eaa7c60-40d4-49da-a3cf-c97634afcce7 |
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