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Konrad Gößmann

PROFILE

Konrad Gößmann

Konrad Goessmann developed adaptive learning features for the ls1intum/Artemis repository, focusing on learner profile management and course proficiency tracking. He designed and implemented domain models, REST APIs, and UI components using Java, Spring Boot, and Angular to support personalized learning paths and analytics. His work included backend services for managing learner profiles and proficiency metrics, as well as frontend interfaces for displaying and editing these values. By addressing edge cases and improving test reliability, Konrad enhanced both the robustness and maintainability of the system. His contributions established a modular, scalable foundation for adaptive learning and data-driven educational workflows.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

6Total
Bugs
1
Commits
6
Features
3
Lines of code
2,629
Activity Months3

Work History

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025: Focused on delivering Course Proficiency Tracking and Learner Profile Enhancements in Artemis, establishing the foundation for adaptive learning analytics. Work expanded learner proficiency modeling, API/service support, and UI integration to display and edit proficiency values, enabling richer analytics and personalized learning paths.

May 2025

3 Commits • 1 Features

May 1, 2025

May 2025 — Artemis (ls1intum/Artemis): Delivered Adaptive Learning: Learner Profile System with UI and backend support for per-course learning preferences, improving personalization and learning outcomes. Implemented robustness for inactive courses and fixed translation key issues in the competency editing UI. Key commits include 1658b68510bc248d4fe81fa06c26a91ea581f9ab, cdf13f4f22ba8427dbf6d53a6cf1816ff5356041, and b644f335bc5c14d46124190c2e4759594d84791b.

January 2025

2 Commits • 1 Features

Jan 1, 2025

January 2025 (2025-01) monthly summary for ls1intum/Artemis. Focused on delivering an adaptive learner experience and strengthening the reliability of core learning path workflows. The team delivered a new Learner Profile feature and stabilized test coverage for Learning Paths, enhancing both product capability and release confidence.

Activity

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Quality Metrics

Correctness86.6%
Maintainability88.4%
Architecture85.0%
Performance76.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

GradleHTMLJavaSCSSSQLTypeScript

Technical Skills

API DevelopmentAngularBackend DevelopmentBuild ConfigurationDatabase DesignDatabase ManagementDomain-Driven DesignFront-end DevelopmentFrontend DevelopmentJPA/HibernateJavaREST APIsSpring BootTestingTypeScript

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ls1intum/Artemis

Jan 2025 Jun 2025
3 Months active

Languages Used

GradleJavaSQLHTMLSCSSTypeScript

Technical Skills

API DevelopmentBackend DevelopmentBuild ConfigurationDatabase DesignDomain-Driven DesignJPA/Hibernate

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