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USING THE REVISED BLOOM TAXONOMY IN DESIGNING LEARNING WITH MOBILE APPS

Authors: Gülay EKREN; Nilgün ÖZDAMAR KESKİN;

USING THE REVISED BLOOM TAXONOMY IN DESIGNING LEARNING WITH MOBILE APPS

Abstract

Mobile learning has been reshaping the mobile applications and requesting a different pedagogy. Therefore, the applications designed for mobile learning are expected to be compatible with the desired skills in learning objectives and learning outcomes. It is recommended to determine learning objectives and learning outcomes that support appropriate pedagogy for mobile learning while designing an application. In this study, the use of the revised Bloom Taxonomy in designing mobile learning applications was evaluated in terms of cognitive processes and learning outcomes for the realization of effective learning. Besides, the benefits of revised Bloom Taxonomy are evaluated on issues such as analyzing the objectives of the syllabus or a curriculum, the classification of learning activities according to the learning objectives, the recognition of the relationship between assessment and learning/teaching activities. This study also introduces a few alternative models apart from revised Bloom’s Taxonomy and presents some discussions about these models. Then, a range of mobile applications has been suggested for open and distance learners.

Country
Turkey
Related Organizations
Keywords

Mobile learning, Mobile learning apps, Revised Bloom’s Taxonomy, Open and distance learning, Mobile pedagogy.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Beta
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