The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Coding Digital Learning Objects for Adoption for Online Teaching and Learning
Abstract
A general observation is that 20% of reusable learning objects (RLOs) are adopted at least for a time, but a majority of LOs are created (probably for local purposes), placed online, and not used at all by others. This work explores how digital learning objects (DLOs) may be coded for desirable features for local adoption and usage. This then explores how DLOs are actually designed with varying weights applied to the desirable DLO features of users. Finally, there is a gaps analysis between what inheritors of DLOs are looking for and what design and development teams and instructional designers actually create. If digital learning objects are to be more widely shared, having instructional designers and developers close the gap in LO work may be an important step. A main challenge involves a fundamental imbalance in incentives in the LO economy as currently practiced.
Related Content
|
William Chakabwata, Veronica McKay.
© 2026.
28 pages.
|
|
Orlando M. Saiz.
© 2026.
30 pages.
|
|
Pratham Prakash Parekh.
© 2026.
34 pages.
|
|
Mustafa Kayyali.
© 2026.
30 pages.
|
|
Tricia J. Stewart, Nicole DeRonck, Samantha Tisi.
© 2026.
26 pages.
|
|
Thalia Mulvihill.
© 2026.
20 pages.
|
|
Alan Swiercz, Melissa Mesek.
© 2026.
30 pages.
|
|
|