The document discusses competencies for students and voting. It lists technical, functional, social, and global competencies. It then discusses the COsys system which includes modules for registration, competency analysis through a quiz, recommender to generate learning paths, market information, access to learning resources, and adaptive learning sources. The goal of COsys is to help students perform self-analysis of competencies and learn through personalized recommendations. It was developed using surveys, competency analysis, system design, recommendation algorithms, and implementation in Ruby on Rails with SQLite, Redis, and WEBrick. The conclusion states COsys can support career development and lifelong learning for students.

1. “Do you think that the young students possess the listed
competencies?” (to the managers)
“Do you think that you possess the listed
competencies?” (to the students)
The suggested competencies for voting:
 technical – available technical skills, including skills for
programming and skills for working with hardware
devices;
 functional – abilities for performing of concrete
engineering activities related to the job position,
 social – competences related to the human behavior and
effective communication and socialization,
 global – abilities for working in multicultural team,
 meta – ability for knowing how to learn, how to adapt,
how to assess
Classes Description
Content-based It recommends resources that a user has read or
has liked in the past
Collaborative-
based
It recommends resources that are read and liked
by users with similar profiles compared to the
current user
Demographic-
based
It recommends resources that are read and liked
by users with similar demographic profiles
Knowledge-
based
It recommends knowledge in a given domain
Learning path-
based
It recommends knowledge formed in learning
paths
Social societies-
based
The recommendations are produced as
consequences of social relations and
communications of a user
Hybrid It includes two or more from the above mentioned
techniques
COsys modules
Registration - creation of an account in COsys system and an individual
student profile preparation
Competences Analysis - proposes a quiz and makes an analysis about
the existing student’s competences
Recommender - generates recommendations with a suitable learning
path to this student
Market Information - includes search engine and the possibility for
looking of available job positions
Access to Information Resources - connects a student to the
information resources –how a CV to be written, how a motivational letter
to be constructed or what are the steps for interview preparation
Learning Sources - suggests two types of learning sources that could
improve student knowledge in a given domain
0
10
20
30
40
50
60
70
80
90
Adaptivity
Willingnesstowork
Ethic
Efficiency
Computerskills
Leadershipskills
Mathematicalskills
Socialskills
Motivation
Professionalskills
Communication
Criticalthinking
Officeskills
Entrepreneurship
Sellingskills
Creativity
Technicalskills
Clientservicing
Self-management
Foreignlanguages
Employers
Students
Browser Web
server
Dispatcher
Controllers
Action
View
Active
record
Recommendable
Resque
RDBMS
SQLite
Redis
WEBrick
Ruby
Gem app
like/dislike
Changes in
like/dislike status
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RReeccoommmmeennddeerr SSyysstteemm CCOOssyyss ffoorr CCaarreeeerr
OOrriieennttaattiioonn
AAIIMM
to present the developed COsys as a
personal and social-oriented
learning environment forcing
students to perform self-analysis of
their current competences and to
learn by recommendations
MMEETTHHOODDOOLLOOGGYY
(1) development of survey tools for analysis of the most important and critical
competences for every individual student
(2) detailed exploration and analysis of the needed competences of an employee for
successful realization,
(3) COsys functionality description and design
(4) examination of existing algorithms for recommendation generation
(5) system implementation through Ruby on Rails, WEbrick web server, SQLite RDBMS,
Redis digital repository.
Survey
tools
1
Competences
analysis
2
Conclusion:
As it can be seen different institutions in our society are
looking for highly qualified and well trained staff ready to
perform specialized technical work. One step for achieving
that is ensuring a communication gate between employees
and employers. We assert that the presented work has the
ability to support career development of students and
their personal progress in lifelong learning aspect.
Functionality
3Recommender
algorithms
4
Implementation
5
For contacts:
Malinka Ivanova,
m_ivanova@tu-sofia.bg
Tsvetelina Atanasova,
atanasova.tsvetelina@gmail.com