, Effective, Extremely effective). Using a five-point scale, rate the effectiveness of participating in class remotely in 0.75 terms of increasing engineering laboratories skills (Extremely ineffective, Ineffective, No-difference, Effective, Extremely effective). Using a five-point scale, rate the effectiveness of participating in class remotely in 0.76 terms of increasing communication skills (Extremely ineffective, Ineffective, No- difference, Effective, Extremely effective). Using a five-point scale, rate the effectiveness of traditional face-to-face learning 0.67 in terms of increasing knowledge theoretically (Extremely ineffective, Ineffective, No-difference, Effective, Extremely effective). Using
transformation and artificial intelligence 3. Enhancing Undergraduate Education and 5. Enabling regional initiatives in entrepreneurship Curriculum Improvement and innovation 4. Ethics and Society in Engineering Education 6. Entrepreneurship and innovation to overcome the 5. Government, Industry, and University economic and financial crisis 6. Management of Engineering Education 7. Equal rights, opportunities and spaces for women in 7. Online and Remote Laboratories Latin America and the Caribbean in the 8. Recruitment and Retention in Engineering professional field 9. Technology for
manufacturing, and information and microelectronicstechnology, as well as several specialized laboratories, such as the Key Laboratory ofCooperative Sensing and Autonomous Unmanned Systems of Zhejiang Province.Additionally, the center collaborates with enterprise training bases, including those frommajor corporations like PetroChina, which serve as teaching and practice hubs forpostgraduate students, further enhancing their practical learning experience.Course OverviewTo effectively meet the goals and requirements for cultivating outstanding engineers, theZhejiang University Engineer School, in collaboration with the Training Center, hasdeveloped the course "Advanced Engineering Cognition and Practice" for professionalmaster's degree postgraduate
current educational landscape: Demand vs supplyEngineering education in Kazakhstan provides a strong technical foundation, equipping studentswith analytical and problem-solving skills necessary for structured, discipline-specific challenges.Programs are built around core subjects such as mathematics, physics, and chemistry, combinedwith specialized courses in mechanical, electrical, chemical, and computer engineering. Moduleslike Mechanical Design with CAD and Machining Laboratory and Signals and Systems developtechnical precision through computational analysis, simulation tools, and laboratoryexperimentation. However, opportunities for fostering creativity and interdisciplinary collaborationremain limited.This study evaluates the engineering
contributions toengineering education. DEI initiatives in higher education and engineering studies havehistorically centered on enhancing the experiences and representation of students.However, this focus has largely overlooked the vulnerabilities and contributions ofacademic staff, including educators, laboratory technicians, and leadership. In countrieslike Ecuador, where significant sociocultural and ethnic diversity exists,underrepresentation extends beyond students to academic professionals.This paper focuses on the strategies embedded within the EENTITLE project, detailinghow the project's activities promote a more equitable and inclusive ecosystem andgovernance model for higher education institutions (HEIs) to facilitate inclusiveprofessional
her interactions in the laboratory were transformed into opportunities for bothtechnical and social learning: “Talking with my classmates about our cultures while we workedhelped me feel like I was not only learning about science, but also about the world.” Theseexperiences demonstrate how the resources available at Purdue, such as organized activities andaccess to local communities, facilitated these participants’ integration into the social context.On the other hand, the group that did not plan to continue graduate studies in the United Statesmaintained a more selective approach to their social interactions, prioritizing relationships thatoffered them emotional support and resonated with their own cultural identities. Martina, forexample
, laboratories, and practical internships. Mr. Halkiyo has been teaching different Civil Engineering courses at Bule Hora University, Ethiopia, where he also served as a department head and conducted various research and community projects.Sultan Bedane Halkiyu Sultan Bedane Halkiyu pursued his Master of Science degree in Road and Transport Engineering and Bachelor’s degree in Civil Engineering at Hawassa University (2017) and Jimma University (2015) respectively. Mr. Halkiyu is working as a lecturer at Bule Hora University, Ethiopia, and teaching different Civil Engineering courses. He is a mixed methods researcher and pursuing his research interests: quality of road construction, and transport/traffic mobility in urban
critiqued much of the CER work that she had seen in STEM, contrasting it with her beliefsabout high-quality CER. Holding a traditional notion of science ignores the critical human sideof CER which then fails to produce meaningful outcomes for the communities. Many STEMacademics who engage in CER may be experts in their narrow technical field but are not trainedor competent in the human side of CER and ignore these crucial skills.A FB/FT woman conducted post-doctoral work at a U.S. government research laboratory. Thereher research engaged less directly with communities compared to her doctoral research but wasstill looking at issues for specific cities and towns. She noted “we did a lot of activities within thecommunity. … one of the main concepts
applicable only in restricted spheres, such as a classroom or laboratory? Or, does science apply more generally to real life? These items tease out students’ views of the applicability of scientific knowledge as distinct from the student's own desire to apply science to real life, which depends on the student's interests, goals, and other non- epistemological factors.4. Evolving knowledge. This dimension probes the extent to which students navigate between the twin perils of absolutism (thinking all scientific knowledge is set in stone) and extreme relativism (making no distinctions between evidence-based reasoning and mere opinion).5. Source of ability to learn. Is being good at science mostly a matter of fixed natural ability? Or