SMART-Goal-Buddy: Goal-Setting Oriented Adaptive Learning Paths

被引：1

作者：

Do, Nguyen Xuan Bach ^{[1
]}

An, Truong-Sinh ^{[1
]}

Krauss, Christopher ^{[1
]}

机构：

[1] Fraunhofer FOKUS, Kaiserin Augusta Allee 31, D-10589 Berlin, Germany

来源：

LEARNING TECHNOLOGY FOR EDUCATION CHALLENGES, LTEC 2024 | 2024年 / 2082卷

关键词：

Competence-based Recommendation; Knowledge-based Recommendation; Adaptive Learning Path; RECOMMENDER SYSTEMS;

D O I：

10.1007/978-3-031-61678-5_23

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In 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.

引用

页码：319 / 331

页数：13

共 10 条

[1] Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions [J].

Adomavicius, G ;

Tuzhilin, A .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2005, 17 (06) :734-749

[2] HUMAN AGENCY IN SOCIAL COGNITIVE THEORY [J].

BANDURA, A .

AMERICAN PSYCHOLOGIST, 1989, 44 (09) :1175-1184

[3] Hybrid recommender systems: Survey and experiments [J].

Burke, R .

USER MODELING AND USER-ADAPTED INTERACTION, 2002, 12 (04) :331-370

[4]

Doran G. T., Manage. Rev., V35

[5]

Li N, 2023, Arxiv, DOI arXiv:2304.11060

[6] THEORY OF TASK MOTIVATION AND INCENTIVES [J].

LOCKE, EA .

ORGANIZATIONAL BEHAVIOR AND HUMAN PERFORMANCE, 1968, 3 (02) :157-189

[7] New directions in goal-setting theory [J].

Locke, Edwin A. ;

Latham, Gary P. .

CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE, 2006, 15 (05) :265-268

[8]

Manouselis N., 2013, Recommender systems for learning, DOI [10.1007/978-1-4614-4361-2, DOI 10.1007/978-1-4614-4361-2]

[9]

Schein A. I., 2002, Proceedings of SIGIR 2002. Twenty-Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, P253, DOI 10.1145/564376.564421

[10]

Weller J., Understanding the unique utility of OKRs vs. SMART goals

← 1 →