Improving Engineering Education for a Sustainable Future

Integrating sustainability into engineering education is essential for equipping future professionals with the skills to build a resource-efficient world. This paper explores an interdisciplinary approach at TTK University of Applied Sciences, Tallinn, Estonia, to embed sustainability into core engineering courses. The study applies AI algorithms to evaluate pedagogical strategies that foster responsibility, ethical decision-making, and innovation, which is a novel method in contrast to traditional ones. By integrating AI-based analysis with sustainability-focused engineering curricula, the research presents a data-driven, interdisciplinary model that enhances ethical decision-making and ecological responsibility. Results emphasize the value of a learner-centred approach—optimization, personalization, interactivity, and adaptability—to prepare professionals with the ecological mindset needed for modern engineering challenges.

Authors

Institutions

Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/estream66938.2025.11016854
Primary Topic
Engineering Education and Curriculum Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Engineering Education for a Sustainable Future

Olga Ovtšarenko, Elena Safiulina
Engineering Education and Curriculum Development
article

Improving Engineering Education for a Sustainable Future

Olga Ovtšarenko, Elena Safiulina
article en

Abstract

Integrating sustainability into engineering education is essential for equipping future professionals with the skills to build a resource-efficient world. This paper explores an interdisciplinary approach at TTK University of Applied Sciences, Tallinn, Estonia, to embed sustainability into core engineering courses. The study applies AI algorithms to evaluate pedagogical strategies that foster responsibility, ethical decision-making, and innovation, which is a novel method in contrast to traditional ones. By integrating AI-based analysis with sustainability-focused engineering curricula, the research presents a data-driven, interdisciplinary model that enhances ethical decision-making and ecological responsibility. Results emphasize the value of a learner-centred approach—optimization, personalization, interactivity, and adaptability—to prepare professionals with the ecological mindset needed for modern engineering challenges.

Vilnius Gediminas Technical University (LT), Tallinn University of Applied Sciences (EE)
Openalex Percentile: Top 82%
Engineering Education and Curriculum Development
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.