Teaching and Assessment Grant

Since 2020, Office of Assessment and CTL have granted 18 projects involving 26 faculty members across divisions and programs, to investigate teaching-related inquiries, including but not limited to interdisciplinary teaching, experiential learning, student learning trajectory in a specific field, writing across disciplines, assessment of student engagement and learning outcomes. 


Active Learning Strategy in Mathematical Modelling: Interactive Academic Interview
Shixing Xu
A Diverse Assessment Framework of an Outdoor Ecology Field Trip
Chuanhui Gu
Intercultural Sensitivity Development in a First Semester French Languaculture Course
Emmanuelle Chiocca
How is Our Global Health Undergraduate Program Doing in the Liberal Arts and COVID-19 Pandemic Context?
Meifang Chen
Post-COVID-19 University Education: Student Preference
Wanggi Jaung
Relations between Quality of Argumentative Writing and Structured Online Peer Review
Yili Zhang


Assess Experiential Learning in Experimental Macroeconomics
Luyao Zhang
Creating an Authentic Assessment with Real-world Implications – Transferring Relevant, Evidence-backed Generalizations in a Meaningful, Nuanced Way
Laura Davies 
Developing a Transparent Method to Promote and Assess Students’ Active Classroom Engagement
Joseph Davies
Effectiveness of Integrated Performance Assessment in 200-level Chinese Curriculum
Xiaofei Pan, Xin Zhang, Yili Zhang
How are Freshmen Writers Assessed and What Do They Need to Succeed?: A Look at the Alignment between Skills and Expectations in an EAP Course and China in the World
Kristin Hiller, Kevin Sprague, Maxi-Ann Campbell, Laura Davies, Austin Woerner, Eric Eberly, Saghar Naghib
Investigating the Writing Proficiency of L2 Chinese Learners at DKU
Xiaofei Pan
Pathways through MATH
Konstantinos Efstathiou
PHIL 109 Teaching Philosophy Through Computer Science
Daniel Lim
Quantitative Measure of Team Work Efficiency:  A Tentative Approach Using Mind-mapping
Kai Huang
Team-Based Learning for Humanities Courses in the DKU Environment
Ben Van Overmeire
Using Language Recognition Technology as A Method to Assess Chinese Language Learners’ Pronunciation Skills
Li Xu, Ming Li