دورية أكاديمية

Navigating Academia: Designing and Evaluating a Multidimensional Recommendation System for University and Major Selection

التفاصيل البيبلوغرافية
العنوان: Navigating Academia: Designing and Evaluating a Multidimensional Recommendation System for University and Major Selection
اللغة: English
المؤلفون: Sibel Somyürek (ORCID 0000-0001-7803-1438), Nevcan Aksoy (ORCID 0000-0003-2722-0428)
المصدر: Psychology in the Schools. 2024 61(9):3748-3769.
الإتاحة: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 22
تاريخ النشر: 2024
نوع الوثيقة: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Majors (Students), Decision Making, Universities, Selection, Career Choice, Technology Uses in Education, Career Counseling, Career Guidance, Program Design, Program Evaluation
DOI: 10.1002/pits.23255
تدمد: 0033-3085
1520-6807
مستخلص: Selecting the right academic major significantly shapes an individual's future career path, making it a longstanding focus of research. The shift to online platforms, accelerated by the challenges posed by the coronavirus pandemic, has transformed counseling and guidance systems. Consequently, developing robust online support systems has become imperative for extending guidance to all students. This article introduces the design, development, and evaluation of "My Future Career," a multidimensional recommendation system (RS) crafted to aid students in navigating university and academic major selection decisions. The system relies on three key student-driven parameters: central university entrance exam scores, rankings, and occupational personality types, utilizing cosine similarity and normalized distance to align user and item profiles. Following the system's completion, an assessment was conducted using data from real users, revealing an impressive accuracy (hit rate 100%, precision 88%) in recommendations following the inclusion of contextual post-filtering features. The findings not only highlight the system's effectiveness but also underscore the positive user experience, as students express contentment with its ease of use and practical utility. The results emphasize the endorsement of expert's regarding the system's consistency (52%), relevance (96%), and acceptance (96%) in providing recommendations.
Abstractor: As Provided
Entry Date: 2024
رقم الأكسشن: EJ1434008
قاعدة البيانات: ERIC
الوصف
تدمد:0033-3085
1520-6807
DOI:10.1002/pits.23255