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D293 - S2L1 - The Purpose of Learning Analytics(22 questions and answers).

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What is learning analytics? LEARNING ANALYTICS is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs. What are some of the key uses of learning analytics...

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  • September 6, 2024
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  • 2024/2025
  • Exam (elaborations)
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BRAINBOOSTERS
D293 - S2L1 - The Purpose of
Learning Analytics(22 questions
and answers)

What is learning analytics?
LEARNING ANALYTICS is the measurement, collection, analysis and
reporting of data about learners and their contexts, for purposes of
understanding and optimising learning and the environments in
which it occurs.
What are some of the key uses of learning analytics?
Historically, some of the most common uses of learning analytics is
prediction of student academic success, and more specifically, the
identification of students who are at risk of failing a course or
dropping out of their studies. Some of the most popular goal of
learning analytics include:
1. Supporting student development of lifelong learning skills and
strategies
2. Provision of personalised and timely feedback to students
regarding their learning
3. Supporting development of important skills such as collaboration,
critical thinking, communication and creativity
4. Develop student awareness by supporting self-reflection
5. Support quality learning and teaching by providing empirical
evidence on the success of pedagogical innovations
Descriptive Analytics
This type of analytics is used when assessing historical data to
answer the fundamental question of “What happened?”. Looking at
patterns of past events, we can understand the past.
Diagnostic Analytics
A form of advanced analytics that examines data or content to
answer the question, “Why did it happen?”.
Predictive Analytics
Another type of advanced analytics that uses data and information
to answer the question “What is likely to happen?”.

, Prescriptive Analytics
The final level and most advanced level of analytics is prescriptive
analytics. This method analyzes analytics to determine “What
should be done?”.
What are some ways learning analytics benefits learners?
Promotes reflection and ownership of learning, offers learners
feedback about their learning and learning habits, alerts if learners
need intervention, prevents at-risk learners from leaving, enables
customized learning plans, increases student success and retention
rates.
What are some ways learning analytics benefits instructors?
Monitors learners' interactions with learning materials, Allows for
changes to learning materials due to timely feedback, Gauges
learners' achievement of learning outcomes and goals, Evaluates
effectiveness of learning design choices, Improves courses' and
training programs' curriculum design.
What are some ways learning analytics benefits institutions?
Increases student success and retention rates, Evaluates trainings'
return on investment, Prevents at-risk learners from leaving, Makes
trends easier to identify, Makes it easier to share and examine data.
How can learning analytics be used to encourage student success?
By developing student awareness to support self-reflection
3 multiple choice options
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?
Descriptive.
3 multiple choice options
How can learning analytics be used in K-12 schools?
Identify knowledge gaps, make iterative changes to optimize
learning, improving outcomes for students. Without analyzing
student data, it's all too easy to base decisions on opinion,
assumption or anecdotal evidence. Personalized learning
experiences and adaptive platforms.

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