X-Ray Learning
Analytics for Deep
Insight into Learners
& Course Materials
Understand, Diagnose, Act
Today’s instructors are teaching at a rapidly changing time, with technology becoming an increasingly important part of the
educational experience of learners. The growing use of technology is generating mountains of data that can provide insights
if harnessed and analysed with a focus on what teachers need and what research has found to make a difference in student
achievement. The online learning analytics available through the LMS can enable deeper engagement with learners, help instructors
save time facilitating courses and aid in the assessment of new learning models.
Instructors need analytic tools built for them that provide easily-accessible, deep insights into student behaviors, course material
interactions, and performance. X-Ray Learning Analytics can help instructors to:
• Identify and focus on at-risk students
• Gain deep insights into student behavior and
performance drivers
• Develop strong learner communities through
discussions, materials, and assessments
• Effectively and efficiently manage course activities
and materials
Student Risk Assessment
The risk measures table calculates an overall risk for each student
that draws on multiple data points, including their academic risk,
social risk, and time spent in the course.
These capabilities directly benefit instructors
enabling them to:
• Drive improved learning outcomes by identifying
at-risk learners and recommending specific actions
in a timely fashion
• Promote greater student satisfaction through discussions,
materials, and assessments
• Select and develop activities and materials that positively
impact the learning experience
• Simplify and enhance course facilitation
for instructors
• Drive deeper interaction and adoption of LMS
Social Network Analysis of Discussion Forums
Today’s instructors require analytic tools to manage their courses
The sociogram above is essentially an analysis of who is talking
to whom in the course. Color coded with Blue within expected
range, yellow in the lower range, and red is below threshold.
and success. X-Ray Learning Analytics enables easy access to
effectively and efficiently to drive maximum student engagement
student activity data, reveals key quantitative and qualitative
insights and provides tools to engage with students to make a
positive impact. Through rigorous academic research and three
years of pilot testing, X-Ray for Learning Analytics has proven
algorithms that drive the reporting and analytic predictive models.
These tools uniquely provide a way to move beyond single
measures of effort in standard reports to create more robust
indicators of quality student work and interaction. Furthermore,
Social Network Analysis with Linguistic Measures
These diagrams highlight the direction of the communication
bulges on the right, so you can ascertain both who does the critical
thinking and who provides the desirable behavior in the course.
custom data mining is conducted for each institution, tailoring
algorithms to the institution.
To discuss these tools, see a demonstration and learn how you can easily deploy
within weeks contact us at askus@blackboard.com
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