unleashing analytics in the classroom

71
Unleashing Analytics in the Classroom Jessica Rodriguez Gus Roque

Upload: gustavo-roque

Post on 18-Jul-2015

49 views

Category:

Education


3 download

TRANSCRIPT

Page 1: Unleashing Analytics in the Classroom

Unleashing Analytics in the Classroom

Jessica Rodriguez Gus Roque

Page 2: Unleashing Analytics in the Classroom

Resources

Page 3: Unleashing Analytics in the Classroom
Page 4: Unleashing Analytics in the Classroom

●  High Level Analytics ●  Course Level Analytics:

o  Impact on Course Design o  Impact on Student Success & Performance

●  Blackboard Analytics ●  Q&A

Page 5: Unleashing Analytics in the Classroom

What days of the week are the majority of users logging into Blackboard?

A. Early in the week (M/Tu/W) B. Later in the week (W/Th/F) C. Weekend (S/Su)

Page 6: Unleashing Analytics in the Classroom
Page 7: Unleashing Analytics in the Classroom

Bb Mobile App (Spring 2015)

Page 8: Unleashing Analytics in the Classroom

Bb Mobile App (Spring 2014 to Spring 2015)

Page 9: Unleashing Analytics in the Classroom

Bb Mobile App (Spring 2014 to Spring 2015)

Page 10: Unleashing Analytics in the Classroom

Logins

Activity

Grades

Participation

Page 11: Unleashing Analytics in the Classroom

Analytics & Course Design

Page 12: Unleashing Analytics in the Classroom

Course Design

First, Consider the Purpose of Measuring Student Engagement.

–  Identifying which activities not only engage students but also

produce quality analysis, is critical to designing and adapting online courses.

–  What are the patterns of performance you are trying to evaluate?

Page 13: Unleashing Analytics in the Classroom

Course Design

─  When are students logging into my course?

Patterns of Performance

─  Which course resources/tools are being used most frequently?

─  Which discussions boards generate the most traffic?

─  What are the patterns of performance in an online assessment?

─  What are some of my opportunities for improvement?

Page 14: Unleashing Analytics in the Classroom

Course Design

Course Reports – Course Activity Overview – Student Overview for Single Course

When are Students Logging into My Course?

Page 15: Unleashing Analytics in the Classroom

Course Design

Page 16: Unleashing Analytics in the Classroom

Course Design

Page 17: Unleashing Analytics in the Classroom

Course Design

–  Posting Announcements/Messages –  Materials/Resources being Accessed

[Homepage] –  Time Allotted for Module Content

Completion

How does this Information Affect my Course Design?

Page 18: Unleashing Analytics in the Classroom

Course Design

California State University identified that the more ‘views’ or visits to the course home page, the higher the final grade.(Whitmer, Fernandes, & Allen, 2012). What material do you house within your course homepage?

Page 19: Unleashing Analytics in the Classroom

Course Design Which Course Resources/Tools are Being used

Most Frequently?

Course Reports ─ Overall Summary of User Activity

Page 20: Unleashing Analytics in the Classroom

Course Design

Page 21: Unleashing Analytics in the Classroom

Course Design

–  Content Presentation (Tool Modality) •  Video clips, posted documents, etc.

–  Supplemental Resources –  Group Tools –  Student Support Cases

How does this Information Affect my Course Design?

Page 22: Unleashing Analytics in the Classroom

Course Design

Course Reports ─ User Activity in Forums

Which Discussion Boards Generate the Most Traffic?

Page 23: Unleashing Analytics in the Classroom

Course Design

Page 24: Unleashing Analytics in the Classroom

Course Design

–  Number of views on discussion boards can be an indicator of level of interest of a given topic.

–  Hot Topic / In the News

How does this Information Affect my Course Design?

Page 25: Unleashing Analytics in the Classroom

Course Design What are the Patterns of Performance in an Online

Assessment?

Item Analysis ─ By Question

Page 26: Unleashing Analytics in the Classroom

Course Design

A. Filter the question table by question type, discrimination category, and difficulty category. B. Investigate a specific question by clicking its title and reviewing its Question Details page. C. Statistics for each question are displayed in the table

Page 27: Unleashing Analytics in the Classroom

Course Design

–  Re-evaluate questions that may be misleading and/or ambiguous

–  Pre-work for assessments –  Development of supplemental

resources –  Create varied forms of assessment

How does this Information Affect my Course Design?

Page 28: Unleashing Analytics in the Classroom

Course Design

•  Enterprise Surveys –  Enterprise Surveys should be used to collect data

on student satisfaction about course items and reflect on the changes based on the collected data.

What are Some of My Opportunities for Improvement?

Page 29: Unleashing Analytics in the Classroom

Course Design What are Enterprise Surveys?

•  Enterprise surveys are delivered at the system level. •  This system level tool does not replace the course level surveys tool

available to instructors in their courses •  You can send your survey out to multiple sets of recipients and analyze the

results. •  Survey results are compared using response periods, which are sets of

recipients and a time frame that you specify. •  You can also compare by enrollments, membership, demographics, or by a

specific survey question.

Page 30: Unleashing Analytics in the Classroom

Course Design Enterprise Surveys Deployed in Course

Page 31: Unleashing Analytics in the Classroom

Course Design How does this Information Affect my Course Design?

•  Ease of Navigation •  Create actionable items based on feedback (e.g. extra time on exam) •  Are the resources within the course sufficient? •  Is there sufficient peer to peer interaction/collaboration? •  Multimedia preference: Pre-recorded lectures versus live lectures •  Are the course and professor expectations clear? •  Determine what day/time works best for live virtual meetings every week.

Page 32: Unleashing Analytics in the Classroom

Course Design Sample Questions

Page 33: Unleashing Analytics in the Classroom

Course Design Instructor Dashboard

Page 34: Unleashing Analytics in the Classroom

Analytics & Student Success

Page 35: Unleashing Analytics in the Classroom
Page 36: Unleashing Analytics in the Classroom

Key Question

●  How can I identify students who are at risk?

Page 37: Unleashing Analytics in the Classroom

Retention Center

Page 38: Unleashing Analytics in the Classroom

Retention Center

Page 39: Unleashing Analytics in the Classroom

Retention Center

●  Missed Deadlines ●  Grades ●  Course Activity ●  Course Access

Page 40: Unleashing Analytics in the Classroom

Retention Center

Page 41: Unleashing Analytics in the Classroom

Retention Center

Page 42: Unleashing Analytics in the Classroom

Key Question

●  How can I identify my top performers?

Page 43: Unleashing Analytics in the Classroom

Key Question

●  How can I identify my top performers?

● Why? ●  Send them kudos for being top performers ●  Ask them to serve as peer mentors ●  Interview them and find out what makes them

successful; share with the class

Page 44: Unleashing Analytics in the Classroom

Retention Center

Page 45: Unleashing Analytics in the Classroom

Retention Center

Page 46: Unleashing Analytics in the Classroom

Retention Center

Page 47: Unleashing Analytics in the Classroom

Key Question

●  How do I know if a particular student has been investing time and energy into my class?

Page 48: Unleashing Analytics in the Classroom

Student Activity

•  Find out how much time the student is spending in the course

•  Evaluation > Course Reports > Student Overview for Single Course

Page 49: Unleashing Analytics in the Classroom
Page 50: Unleashing Analytics in the Classroom

Course Activity

•  Find out how their time spent in the course compares to other students.

•  Evaluation > Course Reports > Course Activity Overview

Page 51: Unleashing Analytics in the Classroom

Course Average

Page 52: Unleashing Analytics in the Classroom

Resources

Page 53: Unleashing Analytics in the Classroom

Key Questions

●  How do I identify students at-risk? ●  Retention Center

●  How do I identify my top performers? ●  Retention Center with customized rules

●  How do I know if a particular student has been investing time and energy into my class? ●  Course Reports: ●  Student Overview for Single Course ●  Course Activity Overview

Page 54: Unleashing Analytics in the Classroom

Blackboard Analytics

Page 55: Unleashing Analytics in the Classroom

●  More robust reporting & analytics tool ●  Interactive reports ●  Export to multiple formats (XML, CSV, Excel,

TIFF, Word)

Bb Analytics

Page 56: Unleashing Analytics in the Classroom

Bb Analytics

Page 57: Unleashing Analytics in the Classroom

•  This report provides: – Comparative information against other courses

in the same academic department – How the students in the course are performing

compared to the average of all students enrolled in the same course

Course At a Glance

Page 58: Unleashing Analytics in the Classroom

Course At a Glance

Page 59: Unleashing Analytics in the Classroom

Course At a Glance

Page 60: Unleashing Analytics in the Classroom

•  This report plots students enrolled in a course against two variables: the Grade Center External Grade and Course Accesses.

•  This report can help analyze how the activity of students does (or doesn’t) relate to the grade recorded in the Grade Center.

Activity & Grade Scatter Plot

Page 61: Unleashing Analytics in the Classroom

Grade Scatter Plot

Page 62: Unleashing Analytics in the Classroom

•  This report might be useful to find students who fit certain activity and performance profiles –  Instructors can find students that, for example,

are very active in a course, but who are struggling from a grade perspective

Activity Matrix

Page 63: Unleashing Analytics in the Classroom

Activity Matrix

Page 64: Unleashing Analytics in the Classroom

•  This report provides a list of students in a course with submission information for each student.

•  This report can be used to identify students who are not engaged by displaying trends and numbers of submissions compared to the average across all students in that course.

•  Students below the average may not be sufficiently engaged in the course and may need assistance.

Course Submission Summary

Page 65: Unleashing Analytics in the Classroom

Submissions Summary

Page 66: Unleashing Analytics in the Classroom

Blackboard Analytics: Student Report

Page 67: Unleashing Analytics in the Classroom

Student Report

Page 68: Unleashing Analytics in the Classroom

Roll Out Plan

•  Spring 2015: –  Implementation & Testing

•  Summer 2015: – Pilot Group

•  Fall 2015: – Full Roll Out

Page 69: Unleashing Analytics in the Classroom

Resources

●  http://go.fiu.edu/analytics o  Copy of the slides o  Digital version of conference poster o  Cheat Sheet on navigating course reports o  Cheat Sheet for Bb Analytics reports o  Sample ‘End of Survey’ questions

Page 70: Unleashing Analytics in the Classroom

•  Jessica Rodriguez, Senior Instructional Designer –  [email protected]

•  Gus Roque, Senior Instructional Designer –  [email protected] –  -@RoqueGus

Contact your Instructional Designer!!!

Contact Us

Page 71: Unleashing Analytics in the Classroom

Q&A