Crossing the boundaries of film and architectural pedagogy

In this paper the potential role film has as an educational tool in the field of architecture design will be discussed. It will document workshops done by the author with students of architecture and interior design in both the UK and Spain. It will show how students are able to analyse film and directorial techniques to understand how film directors look at / use space. It will also show how that understanding has been used by students in their own designs projects to discover and explore previously hidden possibilities in spatial layouts and arrangements. Specifically, it is a paper on the relationship between film and spatial design. However, in a general sense, it is a paper about the potential of interdisciplinary design thinking in an educational context. It is based on a constructive approach that deliberately attempts to force architecture students to address their own subject through schemata they are not used to. As a result, it is an approach that naturally obliges them to reconsider their standard ways of working and thinking

The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings

We motivate and describe a new freely available human-human dialogue dataset for interactive learning of visually grounded word meanings through ostensive definition by a tutor to a learner. The data has been collected using a novel, character-by-character variant of the DiET chat tool (Healey et al., 2003; Mills and Healey, submitted) with a novel task, where a Learner needs to learn invented visual attribute words (such as " burchak " for square) from a tutor. As such, the text-based interactions closely resemble face-to-face conversation and thus contain many of the linguistic phenomena encountered in natural, spontaneous dialogue. These include self-and other-correction, mid-sentence continuations, interruptions, overlaps, fillers, and hedges. We also present a generic n-gram framework for building user (i.e. tutor) simulations from this type of incremental data, which is freely available to researchers. We show that the simulations produce outputs that are similar to the original data (e.g. 78% turn match similarity). Finally, we train and evaluate a Reinforcement Learning dialogue control agent for learning visually grounded word meanings, trained from the BURCHAK corpus. The learned policy shows comparable performance to a rule-based system built previously.Comment: 10 pages, THE 6TH WORKSHOP ON VISION AND LANGUAGE (VL'17

Graduate Catalog, 1969-1970

https://scholar.valpo.edu/gradcatalogs/1005/thumbnail.jp

Graduate Catalog, 1970-1971

https://scholar.valpo.edu/gradcatalogs/1006/thumbnail.jp

Navigating the Turbulent Waters of School Reform Guided by Complexity Theory

The goal of this research study has been to develop, implement, and evaluate a school reform design experiment at a continuation high school with low-income, low-performing underrepresented minority students. The complexity sciences served as a theoretical framework for this design experiment. Treating an innovative college preparatory program as a nested complex adaptive system within a larger complex adaptive system, the school, we used features of complex adaptive systems (equilibrium, emergence, self-organization, and feedback loops) as a framework to design a strategy for school reform. The goal was to create an environment for change by pulling the school far from equilibrium using a strategy we call “purposeful perturbations” to disrupt the stable state of the school in a purposeful way. Over the four years of the study, several tipping points were reached, and we developed agent-based simulation models that capture important dynamic properties of the reform at these points. The study draws upon complexity theory in multiple ways that have supported improved education for low-achieving students

Teaching Programming and Design-by-Contract

This paper summarizes the experience of teaching an introductory course to programming by using a correctness by construction approach at Innopolis University, Russian Federation. In this paper we claim that division in beginner and advanced groups improves the learning outcomes, present the discussion and the data that support the claim.Comment: 21th International Conference on Interactive Collaborative Learnin