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17 Oct 09

CompendiumLD learning design software

Overview of "a software tool for designing learning activities using a flexible visual interface" (What is CompendiumLD?, 2009.10.17)

compendiumld.open.ac.uk/index.html - Preview

design FOSS learning outcomes learning activities software tools visual interface visualization

27 May 09

E-Learning Curve Blog: Discovering Instructional Design 4: The Affective Domain

Considering the affective domain when designing programs can increase the learning effect, whether delivering content and activities, and during formative and summative assessment.

David Krathwohl's affective domain taxonomy is perhaps the best known of any of the affective taxonomies. Krathwohl's Taxonomy refers to a person's awareness and internalization of objects and stimulation.

The taxonomy is ordered according to the principle of internalization. Internalization refers to the process whereby a person's affect toward an object passes from a general awareness level to a point where the affect is 'internalized' and consistently guides or controls the person's behavior.

(Seels & Glasgow, 1990, p. 28)

elearningcurve.blogspot.com/...ng-instructional-design-4.html - Preview

affective domain instructional design Krathwohl taxonomy

27 Dec 08

Public Domain Clipart optimized for word processors

"This is a clean and safe site for children and others to find good-quality, printable images that have no copyright restrictions. All the images are in the Public Domain. ... can be integrated in Open Office" (from Sheryl A).

www.wpclipart.com/index.html - Preview

clipart graphics opensource image resources design collection public Kid_safe WPClipart

30 Jul 08

Connectivism & Connective Knowledge » A few thoughts about design

ltc.umanitoba.ca/connectivism - Preview

connectivism epistemology education design

the real value in taking a fluid design approach stems from the need to explore the nature of change we are seeing without first putting it into existing containers of what we know. Categorization is valuable after observing, discussing, and analyzing phenomena. Not in advance. If we approach an emerging field with too many existing assumptions, we run the risk of failing to see what, if anything, is unique.