CLUSTER ANALYSIS IN EDUCATIONAL PROCESS MANAGEMENT

The study focuses on the quality management of the educational process in higher education institutions, with particular attention to monitoring student motivation and knowledge levels. The research underscores the significance of first-year students’ adaptation to novel learning environments and highlights the necessity of individualized educational trajectories. To achieve this, the study proposes the implementation of a questionnaire-based assessment, incorporating engineering graphics test items and motivation-determining questions. The analysis of questionnaire results facilitates the clustering of students based on their knowledge proficiency and motivational profiles, thereby enabling more effective educational process management and contributing to the overall enhancement of education quality.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-19
DOI
https://doi.org/10.5281/zenodo.15244537
Primary Topic
Innovations in Education and Learning Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CLUSTER ANALYSIS IN EDUCATIONAL PROCESS MANAGEMENT

Zenodo (CERN European Organization for Nuclear Research)
Innovations in Education and Learning Technologies
article

CLUSTER ANALYSIS IN EDUCATIONAL PROCESS MANAGEMENT

article en

Abstract

The study focuses on the quality management of the educational process in higher education institutions, with particular attention to monitoring student motivation and knowledge levels. The research underscores the significance of first-year students’ adaptation to novel learning environments and highlights the necessity of individualized educational trajectories. To achieve this, the study proposes the implementation of a questionnaire-based assessment, incorporating engineering graphics test items and motivation-determining questions. The analysis of questionnaire results facilitates the clustering of students based on their knowledge proficiency and motivational profiles, thereby enabling more effective educational process management and contributing to the overall enhancement of education quality.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 40%
Innovations in Education and Learning Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.