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Easton, Lois Brown – Corwin, 2011
If you are looking for an organic approach to purpose-driven professional learning, this is the book for you. Award-winning educator Lois Brown Easton's latest work provides a compelling case study in narrative form, a chronological PLC planning outline, and first-hand "lessons learned" about how PLCs develop, mature, and sustain themselves. You…
Descriptors: Discussion, Intentional Learning, Inservice Teacher Education, Guides
Johnson, L.; Adams Becker, S.; Cummins, M.; Freeman, A.; Ifenthaler, D.; Vardaxis, N. – New Media Consortium, 2013
The "Technology Outlook Australian Tertiary Education 2013-2018: An NMC Horizon Project Regional Analysis" reflects a collaborative research effort between the New Media Consortium (NMC) and Open Universities Australia to help inform Australian educational leaders about significant developments in technologies supporting teaching,…
Descriptors: Foreign Countries, Educational Policy, Higher Education, Consortia
Smith, Peter, Ed. – Association Supporting Computer Users in Education, 2014
The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. ASCUE has a strong tradition of bringing its members together to pool their…
Descriptors: Conferences (Gatherings), Conference Papers, Computer Uses in Education, Small Colleges
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection