D293 - Assessment and Learning Analytics - Section 2: Determining Learning Analytics Strategy - Lesson 1: The Purpose of Learning Analytics
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Course
D293
Institution
D293
By developing student awareness to support self-reflection
How can learning analytics be used to encourage student success?
True
Sharing learning analytics dashboards with students provides a basis for self-reflection.
Descriptive
Which type of learning analytics should a learning expe...
D293 - Assessment and
Learning Analytics - Section 2:
Determining Learning Analytics
Strategy - Lesson 1: The
Purpose of Learning Analytics
with 100% correct answers
awareness to support self-reflection
How can learning analytics be used to encourage student success?
True
Sharing learning analytics dashboards with students provides a
basis for self-reflection.
Descriptive
Which type of learning analytics should a learning experience
designer begin with as a first step toward optimizing learning in K-
12, higher education, and workforce development?
True
Descriptive analytics is the easiest learning analytics type to
implement. It describes existing patterns of learning and shows
where improvements can be made, which is the first step in
optimizing learning.
True
Predictive analytics builds on diagnostic analytics to forecast future
or otherwise unknown events. An example of this is a learning
management system that shows students how much time was used
to complete work and how much time should be set aside for future
work.
True
, Prescriptive analytics is the most complex type of learning analytics
to implement. It looks back at prior performance in order to
recommend future actions. For example, for a learner who has
consistently struggled in a business math course, prescriptive
analytics may recommend completing an algebra review before
moving forward.
True
Diagnostic analytics is a form of advanced analytics that examines
data or content to identify why something happened. Diagnostic
analytics is used after descriptive insights have been analyzed.
True
Learning analytics supports quality learning and teaching by
providing empirical evidence of the success of pedagogical
innovations but does not standardize teaching practices.
Descriptive
The teacher has gathered the learning data of a fifth-grade world
history class throughout an entire school year. The school seeks a
10 percent improvement in student learning and wants to use the
data from this year as a benchmark for comparison to students who
take history next year. The school principal has asked the teacher to
use the data to establish learning growth benchmarks based on the
current year's data.
To establish the desired benchmark, _____________ analytics should be
used.
For the past five years, the number of students reading at grade
level has declined. The school would like to know what actions
should be taken to break the five-year decline in the number of
students reading at grade level.
Which scenario is an example of how prescriptive analytics can be
used in a K-12 setting?
True
Diagnostic analytics helps answer questions about why things
happen. This type could be used to figure out why one year was
more successful than another, but it does not establish benchmarks.
True
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