Creating a Learning Space in Problem-based Learning

An important aspect of PBL problems is the affordances that they hold for engaging students in discussion of important content knowledge. In this paper, I argue that one can analyze a problem in terms of a deep problem space and a broader learning space to identify the conceptual ideas for potential engagement. The problem space refers to the specific ideas and concepts that are part of the goals of the problem at hand. The learning space includes those aspects of the problem space and also includes the broader space of related conceptual ideas such as the anatomy and physiology related to a particular disorder or the pathology and clinical medicine of other disorders that might be considered as part of a differential diagnosis. This idea is tested in an exploratory analysis of a PBL tutorial conducted by Howard Barrows. The results demonstrate that much of students’ talk is focused in these related conceptual spaces and a substantial amount of the overall learning space is engaged in the group discussion. These results have implications for understanding the affordances of problems and providing another lens on how learning unfolds in a PBL problem. It also provides another means for evaluation of learning and assessment of discursive productivity in PBL groups

Methodological challenges for collaborative learning research

Research on collaborative learning, both face-to-face and computer-supported, has thrived in the past 10 years. The studies range from outcome-oriented (individual and group learning) to process-oriented (impact of interaction on learning processes, motivation and organisation of collaboration) to mixed studies. Collaborative learning research is multi-disciplinary. This introduces a multitude of theoretical accounts for collaborative learning, accompanied by a broad spectrum of methods to study processes and outcomes of collaboration. This special issue will provide an overview of methods that are at the core of current research effort, but also identifies opportunities and problems to sensibly combine methods into mixed method approaches

Problem-based learning: what and how do students learn?

Problem-based approaches to learning have a long history of advocatin

On the Process and Outcomes of Inquiry Learning: Changing Approaches to Assessment [Organizer]

Inquiry learning is an educational approach that involves a process of exploration, asking questions and making discoveries in the search for new understandings. Researchers however are divided about the value of the approach. In the symposium, it is argued that one of the reasons for this controversy is the way that inquiry learning is assessed. Consequently, we aim to present papers which reflect on the challenge of assessing inquiry learning by describing the prevailing approaches to assessment and how technological and theoretical advancement is changing these approaches. The aim is not just to describe these approaches but reflect upon the opportunities that are created and difficulties that must be overcome as we pursue the goal of assessing the processes and outcomes of inquiry learning

Problem-based learning: what and how do students learn?

Problem-based approaches to learning have a long history of advocatin

Computer-Supported Collaborative Learning in STEM Domains: Towards a Meta-synthesis

Computer-Supported Collaborative Learning (CSCL) research has become pervasive in STEM education over the last several decades. The research presented here is part of an ongoing project to construct a meta-synthesis of CSCL findings in STEM domains. After a systematic search of the literature and article coding, cluster analysis results provided a frame for sampling from this literature in order to examine effects of CSCL. This preliminary meta-synthesis addresses the three key pillars of CSCL: the nature of collaboration, the technologies that are employed, and the pedagogical designs. CSCL tools and pedagogies typically improve collaborative learning processes along with achieving other learning and motivational goals

Modeling with a Conceptual representation: is it necessary? does it Work?

In response to recent educational imperatives in the United States, modeling and systems thinking have been identified as being critical for science learning. In this paper, we investigate models in the classroom from two important perspectives: (1) from the teacher perspective to understand how teachers perceive models and use models in the classroom and (2) from the students perspective to understand how student use model-based reasoning to represent their understanding in a classroom setting. Qualitative data collected from 19 teachers who attended a professional development workshop in the northeastern United States indicate that while teachers see the value in teaching to think with models (i.e., during inquiry practices), they tend to use models mostly as communication tools in the classroom. Quantitative data collected about the modeling practices of 42 middle school students who worked collaboratively in small groups (4–5 students) using a computer modeling program indicated that students tended to engage in more mechanistic and function-related thinking with time as they reasoned about a complex system. Furthermore, students had a typified trajectory of first adding and then next paring down ideas in their models. Implications for science education are discussed

Modeling with a Conceptual representation: is it necessary? does it Work?

In response to recent educational imperatives in the United States, modeling and systems thinking have been identified as being critical for science learning. In this paper, we investigate models in the classroom from two important perspectives: (1) from the teacher perspective to understand how teachers perceive models and use models in the classroom and (2) from the students perspective to understand how student use model-based reasoning to represent their understanding in a classroom setting. Qualitative data collected from 19 teachers who attended a professional development workshop in the northeastern United States indicate that while teachers see the value in teaching to think with models (i.e., during inquiry practices), they tend to use models mostly as communication tools in the classroom. Quantitative data collected about the modeling practices of 42 middle school students who worked collaboratively in small groups (4–5 students) using a computer modeling program indicated that students tended to engage in more mechanistic and function-related thinking with time as they reasoned about a complex system. Furthermore, students had a typified trajectory of first adding and then next paring down ideas in their models. Implications for science education are discussed