About this paper

Appears in:
Pages: 7265-7272
Publication year: 2020
ISBN: 978-84-09-17939-8
ISSN: 2340-1079
doi: 10.21125/inted.2020.1917

Conference name: 14th International Technology, Education and Development Conference
Dates: 2-4 March, 2020
Location: Valencia, Spain

ASSESSING THE ANALYTICAL SKILLS OF THE POTENTIAL STUDENTS IN DATA SCIENCE PROGRAM: RESULTS FROM EMPIRICAL STUDY

S. Toleva-Stoimenova, K. Rasheva-Yordanova, M. Garvanova

University of Library Studies and Information Technologies (BULGARIA)
The main task of Data Science is to use modern technologies and tools for analyzing big data, through which useful knowledge is extracted to solve various problems. Therefore, the analytical competencies of data professionals are a key element in their professional profile. In our study, we proved that the analytical competencies of data professionals represent the intersection of the other two skill sets - hard (technical) and soft (non-technical, such as communication, collaboration, curiosity, etc.), especially in the context of big data. The ability to think logically, analytical thinking and critical thinking are very useful in activities such as decision making, analysis of questions, as well as research, problem solving and self-assessment, which are part of the work of data professionals.

The development of analytical and critical thinking is a core mission of all educational institutions. Students are also expected to develop analytical, logical and critical thinking throughout the educational process.

The purpose of the research is to provide an assessment of the analytical skills possessed by potential applicants for an MA program in Data Science. It is addressed to students studying for (or graduating from) a Bachelor of Science in Informatics and Computer Science. The questions in the survey are in 4 groups (analytical skills, abstract and logical thinking; questions for distinguishing facts from opinions, as well as questions exploring quantitative thinking). Data were collected through the survey prepared both online and through field research. 235 respondents took part in the survey. To evaluate the analytical capabilities of potential candidates for the MA program, an algorithm was applied, which includes 5 main steps:
(1) Recoding;
(2) Score formation;
(3) Descriptive statistics;
(4) Scale norming and
(5) Correlation analysis.

The results obtained served to build a curriculum for training in the MA program in Data Analysis and Management, which takes into account the input skills of its potential candidates.
@InProceedings{TOLEVASTOIMENOVA2020ASS,
author = {Toleva-Stoimenova, S. and Rasheva-Yordanova, K. and Garvanova, M.},
title = {ASSESSING THE ANALYTICAL SKILLS OF THE POTENTIAL STUDENTS IN DATA SCIENCE PROGRAM: RESULTS FROM EMPIRICAL STUDY},
series = {14th International Technology, Education and Development Conference},
booktitle = {INTED2020 Proceedings},
isbn = {978-84-09-17939-8},
issn = {2340-1079},
doi = {10.21125/inted.2020.1917},
url = {http://dx.doi.org/10.21125/inted.2020.1917},
publisher = {IATED},
location = {Valencia, Spain},
month = {2-4 March, 2020},
year = {2020},
pages = {7265-7272}}
TY - CONF
AU - S. Toleva-Stoimenova AU - K. Rasheva-Yordanova AU - M. Garvanova
TI - ASSESSING THE ANALYTICAL SKILLS OF THE POTENTIAL STUDENTS IN DATA SCIENCE PROGRAM: RESULTS FROM EMPIRICAL STUDY
SN - 978-84-09-17939-8/2340-1079
DO - 10.21125/inted.2020.1917
PY - 2020
Y1 - 2-4 March, 2020
CI - Valencia, Spain
JO - 14th International Technology, Education and Development Conference
JA - INTED2020 Proceedings
SP - 7265
EP - 7272
ER -
S. Toleva-Stoimenova, K. Rasheva-Yordanova, M. Garvanova (2020) ASSESSING THE ANALYTICAL SKILLS OF THE POTENTIAL STUDENTS IN DATA SCIENCE PROGRAM: RESULTS FROM EMPIRICAL STUDY, INTED2020 Proceedings, pp. 7265-7272.
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