
Importing all the data contained within the IIS logs the IIS data mart allows for a wide variety of reports and analytical reports that study your web usage. These reports range from the higher "system" level reports, down to the more granular on-line habits of individual users in your institution.
Drawing data from the IIS logs, the IIS data mart can report on any aspect contained within. Examples of existing reports include traffic and bandwidth analysis, software and browser usage statistics, geo-location and ISP tracking.
Included in the IIS data mart (as one of its dimensions) is a unique Desire2Learn Session key which can be used to track all of your users interactions with the Desire2Learn Learning Environment. This gives you the ability to start linking and reporting on behaviors in the web logs and how it relates to actions and, more importantly, results within the application.
The type of reports that can be generated by the IIS data mart can be grouped by the following three categories:
Each category provides insight into the user base of the system and allows your institution to gain better insight into your own internal client base.
The enrolments data mart provides a view of user enrolments and withdrawals across one or more organizations.
The enrollments data mart is capable of reporting on student enrollments in varying formats to allow schools to examine enrollment trends. Reports show enrollments over time, enrolments by organization, most popular courses, and tables where each org unit is listed together with enrolment statistics.
Enrolment reports are incredibly valuable. For institutions that have a long history with Desire2Learn, the ability to see enrollment trends over a number of years could provide value for the planning of financial budgets and other fiscal matters.
Similarly an analysis of which courses have the highest enrollment figures may facilitate the planning for courses with above average student interest by ensuring there are adequate resources. Or, alternatively, an analysis of which courses have the most withdrawals could shed light into a faulty course curriculum, substandard curriculum material, etc.
The user access data mart allows measuring the number of user logins / distinct sessions over a period of time. This is a very simple way of looking at student patterns of accessing the system.
The User Access data mart presents a fairly simple data mart consisting of date, user and org dimensions. Reports can show monthly, weekly and daily logins / distinct sessions with the ability to filter by org, or drill down into a specific user’s behaviour.
The tracking of your user sessions and session specific data opens a wealth of analytical possibilities. Understanding the dynamics of a user session (or groups of sessions) opens the door to further analysis of on-line behavior and how it relates to measured results. This kind of statistical analysis can be applied on multiple levels ranging from system wide analysis of sessions, through to departmental analysis, individual courses and right down to the user level.
By tying in the analysis of the on-line behaviors which lead to overall success, your institution can establish policies of best practices and guides that will help staff and students alike achieve their full potential and help prevent students at risk of failure from falling through the cracks.
The module access data mart makes use of both the IIS web log and application specific statistics to analyze how your users are accessing course modules and topics.
Providing multiple different aggregation options, the module access data mart can present different views and insights into how users are accessing specific course content. Presenting data at an organization layer all the way down to individual user access, reports provide insight into how effectively course content is being used.
Module access reports provide a bird’s eye view of how different users interact with the learning environment. Examining which modules are the most popular and which courses they belong to together with which are least popular can help shape the direction with which content is developed.
The quizzing data mart takes a look at both the frequency with which your users are accessing quizzes and a look at average scores.
The quizzing data mart has a robust set of drillable dimensions allowing you to filter by quiz type (i.e. quiz or survey), organization, org unit, quiz date, and user.
Extracting analytical knowledge from the quizzing component is a vital component to understanding your student success. The quizzing reports track the date and times of quiz access as well as the average scores for each student.
This data mart is designed for institutions who use the integrated competencies and rubrics tools as a means of scoring based on subjective assessments. Defined based on the criteria laid out by each individual institution, competencies, rubrics and learning objective are a highly valuable tool for ensuring a level of skill and proficiency of each user.
The Learning Outcome data mart is capable of tracking which competencies and learning objectives have been achieved, when they were achieved as well as a look at specific user results.
Having well-defined set of competencies, rubrics and learning objectives provides a means to accurately gauge and assess the progress of individual users as well as ensuring a defined level of quality. More importantly, reporting on these metrics over time helps your institution track these values, and ensure the level of quality, on which the reputation of your institution is based, is maintained.
>> Learn more about Desire2Learn Analytics
>> Contact Us