
Learning analytics means the use of data generated during the learning process to support student guidance, assessment and content development. The data can be information generated by the student’s activities or log data generated by learning environments and digital tools. Learning analytics can support and guide learning, provide insights into the learning process and provide valuable information for the development of teaching.
Learning analytics helps to conclude
- what has happened in the learning process (descriptive analytics)
- why this has happened (diagnostic analytics)
- how to proceed in the future (prescriptive analytics)
- what might happen in the future (predictive analytics)
Using learning analytics
This guide describes easy ways to use learning analytics with the digital tools available in the Tampere Universities. In the following tables, the use cases for learning analytics are categorized according to the learning environment or digital tool in use. First, choose which tool you are using in the course and read the table to find out what kind of analytics data that tool generates and how you can use it for different purposes.
Moodle
Use case | Tool | Links |
Student progress | ||
Show students their progress in the course and in different tasks | Completion tracking | Instructions |
Set up an automatic feedback or message to be sent to the student when a certain target is reached or a certain deadline is approaching | Reengagement | Instructions |
Build a learning path to the course area | Completion tracking | Instructions |
Show students their assessment of the different tasks | Grades | Instructions |
Guidance and support | ||
Review individual student progress and identify support needs | Reports/course participation | Instructions |
Review the progress of the whole group on the course and identify students who need guidance | Completion tracking | Instructions |
Content development | ||
Review students’ activity in the different tools and resources | Reports/activity completion | Instructions |
Assessment | ||
Examine students’ grades in different tasks. | Grades | Instructions |
View students’ grades for a particular assignment | Assignment | Instructions |
View students’ grades in a particular exam | Quiz | Instructions |
M365 in teaching and learning
Use case | Tool | Links |
Guidance and support | ||
See an overview of student activity in the Teams Education group (course area), e.g. – Students’ visits to the group – Statistics on assignments returned by students – The number of messages and message replies from students in the group | Teams Education group: Insights | Instructions |
View student attendance at Teams meetings | Teams: Calendar / Meeting / Attendees | Instructions |
View the results of activities (e.g. surveys and chat messages) used in Teams meetings afterwards | Teams: Calendar / Meeting / Select activity | Instructions |
Collect attendance and students’ feelings & updates | Reflect | Instructions |
View an overview of the task cards and statistics in Planner | Planner: Charts | Instructions |
Content development | ||
Review the activity of all your Teams groups, for example to remove unnecessary groups | Teams: Analytics | Instructions |
View viewing statistics for Sway presentations | Sway: Analytics | Instructions |
View Stream video viewing rates | Stream: Analytics | Instructions |
Assessment | ||
Grade assignments returned by students, give feedback and review the statistics in the Teams Education group (course area) | Teams Education group: Assignments | Instructions |
Evaluate responses to a Forms form or grade quiz (e.g. exam or other assignment) and review the statistics | Forms: Responses | Instructions |
EXAM
Use case | Tool | Links |
Student progress | ||
Tell students where to find assessed exams and feedback from exams | Exam / Assessment | Instructions |
Content development | ||
Review the exam summary and examine e.g. Is the duration of the exam correct in relation to the tasks in the exam? Has the verbal feedback from the exam performance assessments been read? Are there too many difficult or easy questions in the exam? | Exam / Exam summary | Instructions |
Assessment | ||
Assess exam submissions and give verbal feedback to students | Exam / Assessment | Instruction |
Video services
Use case | Tool | Links |
Student progress | ||
View student-specific viewing statistics of recordings | Panopto / Analytics | Instructions |
Content development | ||
View the viewing statistics of the recordings and the student’s activity during the viewing (comments, notes) | Panopto / Analytics | Instructions |
Guidelines
- Interpretation: Learning analytics helps you to get insight about the learning process, but it rarely tells the whole truth. Take into account other ways of demonstrating learning and activity that are not recorded in learning analytics. Students also need guidance in interpreting the data displayed to them.
- Implications: Consider the potential impact of analytics on motivation. Include positive information and messages, as falling behind others and highlighting failures can also discourage or undermine motivation.
- Openness and transparency: Be sure to tell students what information about their activities will be recorded and collected, and who will use it and for what purpose. Explain the reasons for collecting the data (legal/consent).
- Retention and deletion. According to the regulations on the assessment of studies , data related to the evaluation must be kept for a certain period of time. However, please ensure that the data are properly deleted after that period.