Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Browse By Descriptor
Search Tips
Annual Meeting Housing and Travel
Personal Schedule
Sign In
X (Twitter)
Session Type: Structured Poster Session
Learning through problem-solving has been widely adopted to provide ample opportunity for deep learning. However, learning in problem contexts often involves complex processes. Many students tend to engage in surface experience rather than deep learning by in-depth understanding of practical experience, relating new ideas with prior knowledge or experience, converging knowledge by resolving conflicts, and combining discrete pieces of knowledge into a coherent whole. The participants of this session will share and discuss their recent studies on the design of problem-oriented learning environments that make deep learning accessible from different perspectives. The focus will be on challenges of deep learning in problem-solving contexts, effective design of learning environments that address the challenges, and meaningful analysis of learning in such environments.
Minhong Wang, The University of Hong Kong
Sharon Derry, University of North Carolina - Chapel Hill
Xun Ge, University of Oklahoma
1. EcoXPT: Learning Through Experimentation in an Immersive Virtual Ecosystem - Christopher J. Dede, Harvard University; Tina A. Grotzer, Harvard University; Shari J. Metcalf, Harvard University; Amy M. Kamarainen, Harvard Graduate School of Education; Michael Shane Tutwiler, University of Rhode Island
2. Fostering Deep Learning in Middle School Design-Based Science: Findings, Challenges, and Recommendations From Two Studies - Sharon Derry, University of North Carolina - Chapel Hill; Mary J. Leonard, Montana State University; Janice L. Anderson, University of North Carolina - Chapel Hill; Kelly Johnson Barber-Lester, University of North Carolina - Chapel Hill; Lana Minshew, University of North Carolina - Chapel Hill
3. Scaffolding Problem Solving With Mobile Devices in an Outdoor Environment - Gi Woong Choi, The Pennsylvania State University; Susan M. Land, The Pennsylvania State University; Heather Toomey Zimmerman, The Pennsylvania State University
4. Embodiment and Framing: Key Pieces of Deep Learning in One Student Interview - Andrea Sarah Gomoll, Indiana University - Bloomington; Cindy E. Hmelo-Silver, Indiana University; Selma Sabanovic, Indiana University; Matt Francisco, Indiana University
5. Supporting Deep Learning in Complex Problem-Solving Contexts Through Process Visualization and Adaptive Feedback - Minhong Wang, The University of Hong Kong; Bei Yuan; Andre Kushniruk; Paul A. Kirschner, Open University of the Netherlands
6. Enhancing Learning Environments to Foster Self-Regulated Learning in Problem-Based Learning Programs - Sanne Rovers, Maastricht University; Geraldine Clarebout; Jeroen J.G. Van Merrienboer, Maastricht University
7. Learners' Deep and Surface Processing of the Instructor's Feedback: Motivational and Epistemological Perspectives - Kun Huang, Mississippi State University; Xun Ge, University of Oklahoma; Victor Law, University of New Mexico
8. Reflective Structuration of Sustained Deep Inquiry in a Grade 5 Classroom - Dan Tao, University at Albany - SUNY; Jianwei Zhang, University at Albany - SUNY
9. Deeper Learning Through Conflict Resolution or Stubborn Resistance to Change? - Weichao Chen, University of Virginia; Carla M. Allen, University of Missouri - Columbia; David H. Jonassen, University of Missouri - Columbia