Do, BachBachDoAn, Truong-SinhTruong-SinhAnKrauss, ChristopherChristopherKrauss2024-06-172024-06-172024-05-22https://publica.fraunhofer.de/handle/publica/46979110.1007/978-3-031-61678-5_23In this paper, a goal-setting oriented adaptive learning paths recommendation system is designed and implemented, aiming to provide learners with targeted and effective preparation for their career entry/reorientation based on competences taxonomies. This system combines the principles of the classic recommendation system by utilizing a hybrid method that integrates content-based and knowledge-based recommendations. Complementary to the hybrid method, the SMART goal-setting approach is applied, assisting learners in setting specific, measurable, achievable, relevant, and time-bound learning objectives. The primary hypothesis explored in this work is to what extent the combination of competence-based course recommendations and goal-setting offers learners a goal-setting oriented learning path optimizing their educational journey. A mixed-methods approach was utilized, grounding system development in key theories and taxonomies. Ultimately, both quantitative and qualitative user testing were conducted to evaluate the effectiveness and usability of the prototype and to discuss the hypothesis of the research.enAdaptive Learning PathCompetence-based RecommendationKnowledge-based Recommendationconference paper