This contribution investigates innovative, practice-oriented instructional methods aimed at enhancing data literacy, a critical skillset for future graduates in the evolving labor market, with a particular focus on MBA students with a technical background. It transcends conventional coding-centric approaches to explore diverse avenues, including data-centric tools and visualization techniques, within an adaptive and intuitive learning environment.

By synthesizing perspectives from both industry and academia, this study reframes the concept of data literacy within the framework of emerging professional environments, highlighting its pivotal role in higher education. It underscores the importance of specialized data education across academic and corporate domains.

Drawing from fundamental teaching methods including coding, data-centric tools, and data visualization techniques, this paper assesses their efficacy, obstacles, and applicability in real-life environments.

A case study conducted at an Austrian Higher Education Institution introduces a novel "Data Literacy" module within an MBA program. This module, encompassing technical, methodological, and socio-cultural dimensions, equips graduates with adaptable skills suited for data-centric engineering environments. Positive student feedback highlights the practical application of theoretical knowledge within engineering contexts.

The study emphasizes the ongoing need for refining data literacy modules, given their tangible impact in real-world engineering scenarios. The successful integration of these practical modules into engineering education signifies a promising advancement in preparing graduates for the data-driven workplaces of tomorrow, emphasizing project-based learning and teaching best practices.

This study aims to explore the unique obstacles encountered by female engineering students from developing countries who are either currently pursuing or have completed their higher education in a developed country like Germany. It examines distinct factors such as access to education, cultural biases, and available support systems. Furthermore, the study highlights the impact of societal norms and institutional barriers on the academic and professional journey of female engineering students from developing countries. An analysis is conducted, both within educational settings and workplaces, to distinguish the challenges faced by students from diverse socio-economic backgrounds. This investigation explains the intersections of gender, nationality, and academic support within STEM (Science, Technology, Engineering and Mathematics) fields for women. The expected findings aim to inform potential initiatives accelerated towards enhancing gender equality and inclusivity in STEM education within developing countries.

This paper explores the potential of text-generating AI tools to support database engineering teachers in flipped classroom scenarios where students learn to use the Structured Query Language (SQL). We propose a web-based learning envi-ronment called aDBenture as a tool for SQL training. However, even if a tool like aDBenture is available, the development of suitable materials such as semantic data models, sample databases, SQL exercises and sample solutions for use in class requires a great deal of creativity and time from teachers. This paper will specifically demonstrate the potential of text-generating AI to support teachers in developing exercises for aDBenture. Alternatively, the results can also be used in other SQL environments. The aim of the paper is to enable the teacher to provide students with a more personalized SQL learning experience while saving time and effort.

This multi-stage study collected data from teachers and coordinators of stu-dent inquiry projects to explore the potential of introducing the elements of data science and data analytics in the high school computing curriculum. The study resulted with a set of recommendations for updating the existing textbook and using CODAP software instead of usual spreadsheets for more dynamic and interactive learning.

This led to the development of the remote laboratory concept, which is now proving its effectiveness in delivering advanced teaching, as it meets students' needs for understanding scientific subjects and preparing and carrying out experiments without the need for a physical laboratory. These include remote laboratories, purely virtual laboratories and hybrid laboratories.

The aim of this research work is to design and implement remote physics laboratories (e-Labs) for practical work in the physical sciences at university, and to manage them remotely. In addition, to propose the implementation of a computerized system to manage student waiting lists.

To this end, this research addresses the development axes essential to the implementation of a remote laboratory solution (e-Lab):

Development of a standard IT protocol for hosting and running remote experiments,

The study of alternative uses for remote laboratories,

Proposing new methods and possibilities for interaction with face-to-face physics

laboratories.The creation of efficient remote laboratories.

On the other hand, the democratization of Free Software/Hardware has facilitated prototyping and testing, as well as deployment on a large scale.

The European Project Semester (EPS) is a capstone design project where students, organised in multidisciplinary multicultural teams, are encouraged to solve a real problem, considering ethics, sustainability, the state of the art and market. As a project-based learning process, the EPS aims to train future engineers in the problem-solving, critical thinking, multidisciplinary teamwork and interpersonal skills sought by employers. In the spring of 2024, six Erasmus students enrolled in EPS at Instituto Superior de Engenharia do Porto (ISEP) embraced the challenge of promoting insect biodiversity. The team members drew on their distinct cultures, knowledge and skills to design a modular, scalable, sustainable and innovative nursery for endangered beetles named Scarabreed. Based on ethics, market, state-of-the-art and sustainability studies, the proposed solution comprises: (i) an automated environment to maintain temperature, humidity and lighting within the predefined ranges; (ii) a modular design to facilitate maintenance, scalability, customisation and transport;(iii) monitoring and logging of relevant environmental parameters; (iv) ecological materials, renewable substrates, energy-efficient lighting and recyclable components; and (v) a user-friendly interface for simple configuration and visualisation of the operation status. The designed structure follows a trapezoidal modular design, supporting multiple assemblies. This work outlines the research, design process of Scarabreed, emphasizing the value of collaborative problem-solving to create an innovative solution for the preservation of biodiversity. Moreover, the Scarabreed design was driven by ethics, sustainability, market and state-of-the-art concerns. The team is currently working on the development of the proof-of-concept prototype, which will be completed and tested by the full paper submission.