Artemis - Interactive Learning with Automated Feedback
Artemis was initially generated using JHipster 6.10.3. (Documentation and help)
Artemis supports the following exercises: 1. Programming exercises with version control and automatic assessment with test cases and continuous integration 2. Quiz exercises with multiple choice, drag and drop and short answer quiz questions 3. Modeling exercises with semi-automatic assessment using machine learning concepts 4. Text exercises with manual (and experimental semi-automatic) assessment 5. File upload exercises with manual assessment
Artemis supports all these exercises to run either live in the lecture with instant feedback or as homework. Students can submit their solutions multiple times within the due date and use the (semi-)automatically provided feedback to improve their solution.
You can find the guide for setting up Artemis in conjunction with either
GitLab and Jenkinshere or with
Jira, Bitbucket and Bamboohere. Artemis uses these external tools for user management and the configuration of programming exercises.
You can find information on how to set up user registration here
Please read the guide on how to contribute to Artemis.
To build and optimize the Artemis application for production, run:
./gradlew -Pprod -Pwar clean bootWar
This will create a Artemis-.war file in the folder
index.htmlso it references these new files. To ensure everything worked, run the following command to start the application on your local computer:
java -jar build/libs/*.war --spring.profiles.active=dev,artemis,bamboo,bitbucket,jira
(You might need to copy a yml file into the folder build/libs before, also see development setup)
Then navigate to http://localhost:8080 in your browser.
Refer to Using JHipster in production for more details.
The following command can automate the deployment to a server. The example shows the deployment to the main Artemis test server (which runs a virtual machine):
./artemis-server-cli deploy [email protected] -w build/libs/Artemis-4.4.5.war
The following diagram shows the top level design of Artemis which is decomposed into an application client (running as Angular web app in the browser) and an application server (based on Spring Boot). For programming exercises, the application server connects to a version control system (VCS) and a continuous integration system (CIS). Authentication is handled by an external user management system (UMS).
While Artemis includes generic adapters to these three external systems with a defined protocol that can be instantiated to connect to any VCS, CIS or UMS, it also provides 3 concrete implementations for these adapters to connect to:
The following UML component diagram shows more details of the Artemis application server architecture and its REST interfaces to the application client.
The following UML deployment diagram shows a typical deployment of Artemis application server and application client. Student, Instructor and Teaching Assistant (TA) computers are all equipped equally with the Artemis application client being displayed in the browser.
The Continuous Integration Server typically delegates the build jobs to local build agents within the university infrastructure or to remote build agents, e.g. hosted in the Amazon Cloud (AWS).
The Artemis application server uses the following (simplified) data model in the MySQL database (note that the figure does not include all entities, attributes and relationships). It supports multiple courses with multiple exercises. Each student in the participating student group can participate in the exercise by clicking the Start Exercise button. Then a repository and a build plan for the student (User) will be created and configured. The initialization state variable (Enum) helps to track the progress of this complex operation and allows recovering from errors. A student can submit multiple solutions by committing and pushing the source code changes to a given example code into the version control system or using the user interface. The continuous integration server automatically tests each submission, and notifies the Artemis application server, when a new result exists. In addition, teaching assistants can assess student solutions and "manually" create results. The current data model is more complex and supports more features such as online exams, lectures, student questions and static code analysis.
There is a growing community of university instructors who are using Artemis.
We communicate using Github issues and pull requests. Additionally, you can join us on Slack to ask questions and get support. If you are interested, please send an email to Stephan Krusche.
The following universities are activly using Artemis or are currently evaluating Artemis.