Invited Talk Scalable Apprenticeships: Reconnecting Students Through Technology Phillip Long Massachusetts Institute of Technology Cambridge, MA,, USA longpd@mit.edu Abstract Today s students are typically over scheduled and hyper-connected, yet increasingly disconnected with their education. The classroom into which they step for core science, technology and engineering subjects is often removed from both the practice of the disciplines being taught and the technology tools which pervade other aspects of their life. A significant challenge is to reconnect the excitement and discovery that drew faculty into their disciplines back to the learning environments of STEM and CSE students they teach. Peer Instruction (inserting discussion and formative assessment into lecture) and project-based learning are two promising attempts at recapturing the process of science and engineering in introductory coursers. Recent experiments in freshman project-based seminars such as nanoscale engineering and a major redesign of the introductory Course 6 (Computer Science and Electrical Engineering) at MIT are exploring ways to bring apprenticeship back to both small and large classes. Through Pythonbased tutoring tools, layered mentoring that includes just-in-time guest laboratory assistants to achieve 1:4 instructor-student ratios in large courses, and careful attention to learning space design new strategies for scaled apprenticeships are being forged. Categories & Subject Descriptors: Education K.3.2 Computer and Information Science General Terms: Design, Experimentation, Human Factors Bio Phillip Long is an Associate Director in the Office of Educational Innovation and Technology, and Research Scientist in the Center for Educational Computing Initiatives at the Massachusetts Institute of Technology. He provides direction in applying MIT Information Services and Technology resources to support the integration of technology into the curriculum. He leads the MIT iCampus dissemination effort freely sharing MIT developed educational technology tools to support active learning & scalable web services for undergraduate instruction. Current research interests focus on designing physical and virtual learning spaces to support active, authentic learning strategies and software to support them. This work is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License. To view a copy of this license, visit http://creativecommons.org/licenses/bync-sa/3.0/us/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA. Copyright is held by the author/owner(s). ITiCSE 08, June 30 July 2, 2008, Madrid, Spain. ACM 978-1-60558-115-6/08/06.
/lp/association-for-computing-machinery/scalable-apprenticeships-reconnecting-students-through-technology-pscnh9g00Z
Welcome to DeepDyve! Rent Premier Research Articles and Save Up to 90%
Free Article
Scalable apprenticeships: reconnecting students through technology
Long, Philip D.
Follow ACM SIGCSE Bulletin
, Volume 40 (3)
Association for Computing Machinery – Aug 25, 2008
More Info
More Like This Article
View All dataSource[]=actageo&dataSource[]=aspet&dataSource[]=aaos&dataSource[]=aacc&dataSource[]=aacr&dataSource[]=aea&dataSource[]=aip&dataSource[]=ajnr&dataSource[]=ams&dataSource[]=aps_physical&dataSource[]=appi_book&dataSource[]=appi_journal&dataSource[]=apha&dataSource[]=asip&dataSource[]=asm&dataSource[]=asn&dataSource[]=aspb&dataSource[]=avs&dataSource[]=annual_reviews&dataSource[]=arxiv&dataSource[]=acm&dataSource[]=berghahn&dataSource[]=cabi&dataSource[]=clinical_trials&dataSource[]=dailymed&dataSource[]=degruyter&dataSource[]=du_press&dataSource[]=esa&dataSource[]=eu_press&dataSource[]=elsevier&dataSource[]=emerald&dataSource[]=ejtr&dataSource[]=emea&dataSource[]=epo&dataSource[]=faseb&dataSource[]=gsa&dataSource[]=health_affairs&dataSource[]=hindawi&dataSource[]=imanager&dataSource[]=imedpub&dataSource[]=informa_healthcare&dataSource[]=informs&dataSource[]=iop&dataSource[]=iucr&dataSource[]=iospress&dataSource[]=jbjs&dataSource[]=leftcoast&dataSource[]=lu_press&dataSource[]=mesharpe&dataSource[]=mary_ann_liebert&dataSource[]=medline&dataSource[]=mit_press&dataSource[]=nature&dataSource[]=oxford&dataSource[]=pier_professional&dataSource[]=pnas&dataSource[]=portlandpress&dataSource[]=psyc_articles&dataSource[]=psyc_books&dataSource[]=psyc_critiques&dataSource[]=plos_journal&dataSource[]=pubmed_central&dataSource[]=rsna&dataSource[]=rockefeller&dataSource[]=rcn&dataSource[]=ria&dataSource[]=rsc&dataSource[]=sage&dataSource[]=spie&dataSource[]=springer_journal&dataSource[]=springer&dataSource[]=taylor_francis&dataSource[]=aps&dataSource[]=the_scientist&dataSource[]=uc_press&dataSource[]=uspto_abstract&dataSource[]=wiley&dataSource[]=pct
© 2012 DeepDyve, Inc. All rights reserved.
Terms of Service | Privacy Policy
