The creation and correction of exercises are two of the most time-consuming tasks performed by teachers. When done by hand, they are error-prone, too. Several approaches have been devised to automate such tasks. In the case of exercises based on diagrams, we can represent them as models, generate a set of variations - called mutants - and automate the process. In this tool demo paper, we showcase Wodel-Edu, a domain-independent framework for the generation and automated grading of diagram-based exercises. This framework offers a family of DSLs enabling the specification and configuration of five different kinds of such exercises, and extensible code generation facilities targeting environments like the Moodle platform, the web, and mobile applications.

1. P. Gómez-Abajo , A. Rico-Fernández, E. Guerra, J. de Lara
Modelling&Software Engineering Research Group
http://miso.es
Universidad Autónoma de Madrid (Spain)
WODEL-EDU:
AN MDE SOLUTION FOR THE
GENERATION AND EVALUATION OF
DIAGRAM-BASED EXERCISES
October 2021

2. OVERVIEW OF THE APPROACH
2

3. OVERVIEW OF THE APPROACH
2
Wodel-Edu demo

4. 3
Wodel & Wodel-Edu website:
http://gomezabajo.github.io/Wodel/

5. • Generation of exercises for DFA
• Currently, the evaluation of the exercises for DFA in a real
university course is a work under review
• Generated for Moodle, mobile apps and the web
• Five different kinds of exercises currently supported
• Future work
• New kinds of exercises
• Exercises for other domains: class diagrams,
electronic circuits, and so on
• Evaluate the generated exercises in real university
courses
4
CONCLUSIONS & FUTURE WORK

6. • There is a lack of frameworks to generate domain-independent exercises
• There is a need to generate a high number of exercises
• An assistance tool of this kind would alleviate much of the professors’ work
• Extension of the Wodel tool for model mutation to generate and evaluate
diagram-based exercises for any domain: Wodel-Edu
5
PROBLEM
PROPOSED SOLUTION

7. WODEL
DSL Wodel for model mutation with:
• High level mutation primitives
• Domain independent
• Compiled to Java code
Extensible execution services
• Mutant validation
• Equivalent mutants' detection
• Registry of the applied mutation operators
• Extensible for post-processing applications
Development services
• Seed model synthesis
• Mutation footprints
6

8. WODEL EXAMPLE
7
generate 4 mutants in "out/" from "models/"
metamodel "http://fa.com"
with blocks {
mts "modifies the target State of a Transition"
{
modify target tar from one Transition to other State
}}

9. WODEL-EDU PROCESS
8

10. WODEL-EDU ARCHITECTURE
9