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Yayın Introducing professional skills during unit operations laboratory(American Society for Engineering Education, 2011-06-26) Rende, Sevinç; Rende, Deniz; Baysal, NihatUnit operations laboratory (UOL) course is considered to be a crucial and integral part of the chemical engineering education. The primary objective of the course is to enable students to combine theory and practice. Problems in industry however entail more than finding technical solutions. Indeed professional life requires other skills such as an ability to propose ideas, develop practical solutions, participate in teamwork, meet deadlines, establish communication between technical support and suppliers, oversee financial issues, and finally reporting and presentation skills. This study describes how in three consecutive courses, we preserve academic rigor of the UOL course while incorporating components such as experimental design, project development and teamwork, which aim to meet the needs of professional careers. We follow up the course outcomes with a survey targeting the graduates of the program. The results show that graduates employed in industry frequently rely on these skills during job interviews, research and product development, whereas those who pursue advanced degrees in academia use these skills predominantly for their research, highlighting the need for adaptive approach for different graduate trajectories in designing the course. For both groups of graduates, the skills introduced during the UOL courses are reported to be valuable in their daily life, emphasizing life-long learning.Yayın Peer-mentoring among female biomedical engineering students can be extended to other engineering disciplines(2004-06) Demir, Sıddıka SemahatMentoring is significant personal and professional assistance given by a more experienced person to a less experienced person during a time of transition. Transitions from high school to university, from university to graduate school are difficult. Organizing and administering mentoring programs in schools or in professional societies provide good recruitment and retention of female students in engineering. Biomedical engineering (BME) is the engineering discipline that has the highest percentage of female degree recipients and tenure/tenure-track teaching faculty as seen presented in "ASEE Profiles of Engineering and Engineering Technology Colleges, 2001 Education. Engineering Education by the Numbers". Thus there is a great potential for female role models, mentors and mentees in BME. Recently, I have a developed a mentoring program for women at the Joint Graduate Biomedical Engineering Program of University of Memphis (UM) and University of Tennessee Health Science Center (UT). Currently our program focuses on peer-mentoring and community building. We follow the book "Giving Much/Gaining More: Mentoring for Success" by Dr. Wadsworth for our meetings and activities to provide a support and discussion group, and environment to women in their transition time of the BME graduate studies. Our future goal is to expand our mentoring program to female students in our engineering school since we believe that the women in BME are excellent role models, mentors and mentees to women in other engineering disciplines.Yayın Mixed-method validation of pedagogical concepts for an intercultural online learning environment: a case study(Assoc Computing Machinery, 2007) Law, Effie Lai-Chong; Nguyen-Ngoc, Anh Vu; Kuru, SelahattinThe rise of social software poses the challenges to the design and evaluation of a pedagogically sound online learning environment (OLE). Our OLE addresses these challenges by the integration of three pedagogical concepts - cross-cultural collaboration, self-directed learning and social networking - with the aim to advance participants' competencies and by mixed-method approaches to evaluating the complex situations. A validation trial involving four European countries was conducted. Groups of students co-created a questionnaire, which was assessed to provide an indicator of task performance. Multi-source (surveys, blogs, emails, diaries, chats, videoconference, and interviews) and multi-perspective data (facilitators, students, researchers) were studied with social network analysis, content analysis and conversation analysis. Several a posteriori research questions are addressed.Yayın Comparing pre-trained and fine-tuned transformer-based models for sentiment analysis in Turkish comments in student surveys(Institute of Electrical and Electronics Engineers Inc., 2025-08-15) Pourjalil, Kajal; Ekin, Emine; Recal, FüsunStudent surveys are essential for evaluating teaching quality and course content, but analyzing open-ended responses is challenging due to their unstructured and multilingual nature. This study applies sentiment analysis to Turkish educational survey responses using three transformer-based models: SAVASY, DBMDZ BERT Base Turkish Cased, and XLM-RoBERTa Base. A labeled dataset of real-world student comments was used, with sentiment labels assigned using the Gemini AI tool to facilitate model fine-tuning. Evaluation metrics included accuracy, F1-score, precision, recall, and confidence scores. Results show that fine-tuning improves sentiment classification, effectively identifying positive, negative, and neutral sentiments. This highlights the value of transformer models in analyzing Turkish student feedback.
