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Why is data not considered neutral in the context of learning analytics?
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Data is influenced by the process of its creation, meaning it's shaped by how and why it was collected.
What is the role of natural language processing (NLP) in learning analytics?
To extract information from student language, such as identifying rhetorical moves or understanding argumentation.
List some methods used to understand learning transitions under the temporality aspect of computation in learning analytics.
Lag sequential analysis and hidden Markov analysis.
What must be considered according to learning analytics regarding the process after data collection?
Questions from instructors, data interpretation, and using relative and absolute reference points.
What does the triangulation and contextualization process entail in learning analytics?
Attributing data accurately and taking actions based on the insight derived from the data.
How does structural discovery function in learning analytics?
By employing clustering, network analysis, and topic modeling to identify patterns.
How has the ability to collect data changed in recent years concerning learning analytics?
There's been an increased ability to collect diverse data with higher frequency and granularity, and connect different sources of data.
What is the key feature of learning analytics according to the 2011 definition?
The key feature is closing the loop by making data actionable in real-time for teachers, students, and advisors.
What ethical consideration should be made to ensure fair outcomes in learning analytics?
Addressing algorithmic bias.
What is the focus of prediction in learning analytics?
Identifying individuals or features that matter, such as through early alert systems.
In the example study of the Wise inquiry learning environment, what predicted learning?
Revisiting steps with dynamic visualizations.
Why is transparency important in learning analytics?
It ensures that the actionable insights derived from data are understood and used correctly.
What are the '3 As' types of data in learning analytics?
Activity, Artifacts, and Association.
What is one of the primary uses of visual analytics in learning analytics?
To visualize information in order to discern patterns, such as with heat maps or sand key diagrams.
What potential does learning analytics have in the context of teaching and learning?
It has the potential to inform but not dictate pedagogical decisions, thereby changing teaching and learning practices.
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