How Do We know What We Know … in Educational Technology?
A presentation by Bob Hoffman and Marcie
Bober
Fellows/College of Education for the
Education Center on Computational Science and
Engineering http://www.edcenter.sdsu.edu/
Studious examination of facts
or principles; research
Investigation or
experimentation aimed at the discovery and interpretation of facts, revision of
accepted theories or laws in light of new facts, or practical application of
such new or revised theories or laws
Web-based inquiry learning experiments
Students can study research-validated principles (in any content area) by participating in replications of experiments or original studies. By presenting them online with database interactions, students can participate any time, anywhere … and they can receive immediate feedback in the form of their own and others' data.
Benefits of Experiments
· Students actively participate and discover knowledge
· Students immediately view congregated data in the context of their own responses
· Experiments model asking and answering questions using data
· Instructors can use data to further their own professional development
· Some examples of experiments students use in EDTEC 541: Multimedia Development:
Type design: http://edtechfm.sdsu.edu/bhoffman/type
Multimedia interaction http///edweb.sdsu.edu/canal/lockthru00.htm
Web-based strategies for collecting, managing, and
analyzing/interpreting data
Students can become savvy
information consumers by creating and deploying a variety of web-based
instruments and using sophisticated applications to analyze and display the
resulting data. Research and evaluation are core to instruction; they are, in
fact, the processes by which we determine the strengths and weaknesses of what
and how we teach. We short-change our EdTec students if we fail to model ways
that technology itself can contribute to robust research and assessment
practices.
Benefits
of Technology-driven Data Collection/Analysis
§
Students actively participate in multifaceted data gathering
§
Students manage the process of data entry, making decisions about how best
to organize their data and which specific analyses to perform
§
Students weigh the benefits and drawbacks of specific collection methods
(time, labor, etc.)
§
Instructors can use data to further their own professional development
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Some examples of technology-infused tools that ED791 students have built
and implemented this Fall:
Gary Rossen/LeadingWay – evaluating return on
expectations: http://et.sdsu.edu/Grossen/K1U%20Survey%202/K1u%20survey.htm
Mary McGibbons and Cindy Davis/Contexant –
program satisfaction and integration of skills/knowledge on the job: http://et.sdsu.edu/mbrueckmann/conexant/index1.htm
Visit our Professional Development Circle: http://edweb.sdsu.edu/circle-inquiry