Visual Approaches to Property Law Pedagogy

Purpose - To consider a more visual approach to property law teaching practices. This will be achieved by exploring the existence of ‘visual learners’ as a student body, evaluating the use of more visual teaching techniques in academic practice, recognising the historic dominance of text in legal education, and examining the potential for heightening visual teaching practices in the teaching of property law. Design/methodology/approach – The paper reviews and analyses some of the available literature on visual pedagogy, and visual approaches to legal education, but also introduces an amount of academic practitioner analysis. Findings – This paper evidences that, rather than focusing on the categorisation of ‘visual learner’, the modern academic practitioner should employ the customary use of more visual stimuli; consequently becoming a more ‘visual teacher’. This paper demonstrates that these practices, if performed effectively, can impact upon the information literacy of the whole student body: It also proffers a number of suggestions as to how this could be achieved within property law teaching practices. Practical implications – The paper will provide support for early-career academic practitioners, who are entering a teaching profession in a period of accelerated and continual change, by presenting an overview of pedagogic practices in the area. It will also provide a stimulus for those currently teaching on property law modules and support their transition to a more visual form of teaching practice. Originality/value – This paper provides a comprehensive overview of visual pedagogy in legal education, and specifically within that of property law, which has not been conducted elsewhere.

Dynamic Network Mechanisms of Relational Integration

A prominent hypothesis states that specialized neural modules within the human lateral frontopolar cortices (LFPCs) support “relational integration” (RI), the solving of complex problems using inter-related rules. However, it has been proposed that LFPC activity during RI could reflect the recruitment of additional “domain-general” resources when processing more difficult problems in general as opposed to RI specifi- cally. Moreover, theoretical research with computational models has demonstrated that RI may be supported by dynamic processes that occur throughout distributed networks of brain regions as opposed to within a discrete computational module. Here, we present fMRI findings from a novel deductive reasoning paradigm that controls for general difficulty while manipulating RI demands. In accordance with the domain- general perspective, we observe an increase in frontoparietal activation during challenging problems in general as opposed to RI specifically. Nonetheless, when examining frontoparietal activity using analyses of phase synchrony and psychophysiological interactions, we observe increased network connectivity during RI alone. Moreover, dynamic causal modeling with Bayesian model selection identifies the LFPC as the effective connectivity source. Based on these results, we propose that during RI an increase in network connectivity and a decrease in network metastability allows rules that are coded throughout working memory systems to be dynamically bound. This change in connectivity state is top-down propagated via a hierarchical system of domain-general networks with the LFPC at the apex. In this manner, the functional network perspective reconciles key propositions of the globalist, modular, and computational accounts of RI within a single unified framework.