Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).


🎓 The first author is a student, at least 2/3 of the authors are students -Undergraduate, Master, Doctoral-; may include supervisor as one of the authors.

 
 
Session Overview
Session
Teaching and Learning with Digital Tools
Time:
Monday, 02/Sept/2024:
11:00am - 12:00pm

Session Chair: Patrick Jermann
Location: SG0211

112 seats

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Presentations
ID: 410
Research Paper
Oral presentation
Topics: Digital tools and AI in engineering education, Open and online education for engineers
Keywords: Learning Analytics, Matlab Grader, Individual support for first-year students, IT tools in teaching

Learning Analytics with Matlab Grader in Undergraduate Engineering Courses

Jannis Dethmann, Brit-Maren Block

Leuphana University Lüneburg, Germany

Dethmann-Learning Analytics with Matlab Grader in Undergraduate Engineering Courses-410_b.pdf


ID: 428
Practice Paper
Oral presentation
Topics: Digital tools and AI in engineering education, Continuing education and life-long learning in engineering
Keywords: digital competences and actions, reflection, self-learning, digital media

Reflection processes for learning with digital media in higher education courses: A report on our experience

Nico Marten, Kathrin Thiele

Ostfalia University of Applied Sciences, Germany

Marten-Reflection processes for learning with digital media-428_b.pdf


ID: 347
Research Paper
Oral presentation
Topics: Digital tools and AI in engineering education, Building the capacity and strengthening the educational competences of engineering educators
Keywords: Course Evaluations, Automated Feedback, Large Language Models

Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers

Mike Zhang, Euan Lindsay, Frederik Bode Thorbensen, Danny Bøgsted Poulsen, Johannes Bjerva

Aalborg University, Denmark

Zhang-Leveraging Large Language Models for Actionable Course Evaluation Student Feedback-347_b.pdf


 
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