A pilot with 22 teachers showed GSI-shaped Units of Learning can be reused across independent course instances at reasonable deployment cost¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2011 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? GSI-shaped UoLs were as reusable as IMS LD courses, with no reported problems in the IMS LD–Google Forms interaction (RQ1). → Luis de-la-Fuente-Valentín 2011 q2 i? Deployment was feasible at reasonable cost: instantiation steps repeated 25 times were highly repetitive and easy to automate (RQ2). → Luis de-la-Fuente-Valentín 2011

Evidence¶

Luis de-la-Fuente-Valentín 2011¶

Luis de-la-Fuente-Valentín, Abelardo Pardo, Carlos Delgado Kloos. (2011). Generic service integration in adaptive learning experiences using IMS learning design. Computers & Education. https://doi.org/10.1016/j.compedu.2010.12.007

q2 · i? · design · r2

Qualitative technical evaluation from a 4-hour workshop case study with 22 teachers using the GRAIL engine in .LRN, each enacting an individual course instance with a Google Forms questionnaire. The authors report "no reported problems specifically related to the interaction among IMS LD and Google Forms" and that an automation script kept administrative costs reasonable.

"Since there were no reported problems specifically related to the interaction among IMS LD and Google Forms, it can be said that GSI-shaped UoLs are as reusable as IMS LD courses are (RQ1)."

Discussion¶

Related Claims¶

• The complexity of course authoring, not comprehension or training, is the most significant obstacle to IMS LD adoption — related
• Teachers judged the GSI adaptive example useful for real scenarios but not feasible to deploy effectively — related
• Teachers rated the GSI example comprehensible, but perceived the difficulty of creating adaptive material as significantly higher after attempting authoring — related
• Spreadsheet-based management of questionnaire data lowered the perceived threshold of IMS LD condition authoring — related