Talk given at Educon in Athens, Greece by Stavros Nikou, really interesting mobile learning
addition in the area of vocational and learning assessment. Mobile devices in
assessment: offer and support new learning pedagogies and new ways of
assessment: collaborative and personalised assessments.
Motivation of the framework is aiming to address: following the
self-determination theory (http://selfdeterminationtheory.org/theory/)
: intrinsic and extrinsic motivation. Intrinsic motivation works from insight
of the person, and because it is enjoyable. Extrinsic is build upon reward or
punishment. What they try to do is get more intrinsic motivation ignited, as it
leads to better understanding and better performance.
There are 3 elements in the theory: autonomy, competence, relatedness
all of this impacts the self-determination. This study try to use these three
elements to increase intrinsic motivation.
Mobile-based assessment motivational framework: the framework is still
in a preliminary phase, but of interest. Autonomy: personalised and adaptive
guidance, grouping questions into different difficulty levels (adaptive to
learner), location specific – context-aware.
Competence: provide emotional and cognitive feedback that is immediate.
Drive students to engage in authentic learning activities, appropriate guidance
to support learners.
Preliminary evaluation of the proposed framework: paper based and
mobile based assessments used prior and after intervention to test out the
framework. Using an experimental design, assessments after each week of formal
training, two assessments in total for both groups. ANCOVA data analysis used.
Results: significant difference of autonomy, and competence, and
relatedness. The framework will be expanded with additional mobile learning
features, and framework will be used with different students. Future research
wants to enhance the framework.
The mobile assessment had a social media collaborative element in it,
and it also made use of more feedback options due to the technical
possibilities that the mLearning option had.
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