Functional Group Fun: Piloting a Series of Minigames Help Students Learn Functional Groups

Functional groups are a foundational concept for Organic Chemistry students to master; however, they are a common stumbling block due to the structural similarities between related functional groups and the variety of functional groups that appear in the course. Prior work at other institutions have had success using a games-based approach to teach and reinforce functional group concepts. In this work, first semester Organic Chemistry and Intro to Organic Chemistry laboratory students participated in a virtual “Functional Group Field Day” consisting of a series of mini games primarily administered through the streaming platform, Twitch. Three main styles of mini games were utilized in the field day: a tile matching game, a “Heads Up” style game, and several fastest-finger multiple choice games. Pre- and post-surveys were used to assess student confidence and improvement in identifying and utilizing functional groups. From preliminary data analysis, an increase in student confidence and correct functional group identification from pre- to post-survey data have been observed

Ancient Coin Classification Using Graph Transduction Games

Recognizing the type of an ancient coin requires theoretical expertise and years of experience in the field of numismatics. Our goal in this work is automatizing this time consuming and demanding task by a visual classification framework. Specifically, we propose to model ancient coin image classification using Graph Transduction Games (GTG). GTG casts the classification problem as a non-cooperative game where the players (the coin images) decide their strategies (class labels) according to the choices made by the others, which results with a global consensus at the final labeling. Experiments are conducted on the only publicly available dataset which is composed of 180 images of 60 types of Roman coins. We demonstrate that our approach outperforms the literature work on the same dataset with the classification accuracy of 73.6% and 87.3% when there are one and two images per class in the training set, respectively

The Threat of Exclusion and Relational Contracting

Relational contracts have been shown to mitigate moral hazard in labor and credit markets. A central assumption in most theoretical and experimental studies is that, upon misbehaving, agents can be excluded from their current source of income and have to resort to less attractive outside options. This threat of exclusion is unrealistic in many environments, and especially in credit and investment contexts. We examine experimentally the emergence and time structure of relational contracts when the threat of exclusion is weakened. We focus on bilateral credit relationships in which strategic default is possible. We compare a weak exclusion treatment in which defaulting borrowers can reinvest borrowed funds, to a strong exclusion treatment in which defaulting borrowers must liquidate borrowed funds. We find that under weak exclusion more relationships break down in early periods and credit relationships are more likely to “start small”

Why and How Identity Should Influence Utility

This paper provides an argument for the advantage of a preference for identity-consistent behaviour from an evolutionary point of view. Within a stylised model of social interaction, we show that the development of cooperative social norms is greatly facilitated if the agents of the society possess a preference for identity consistent behaviour. As cooperative norms have a positive impact on aggregate outcomes, we conclude that such preferences are evolutionarily advantageous. Furthermore, we discuss how such a preference can be integrated in the modelling of utility in order to account for the distinctive cooperative trait in human behaviour and show how this squares with the evidence

Group status, minorities and trust

We present the results of an experiment that attempts to measure the impact of majority and minority groups, and high status and low status groups, on well-being, cooperation and social capital. In the experiment, group membership is induced artificially, subjects interact with insiders and outsiders in trust games and periodically enter markets where they can trade group membership. We find that trust falls with groups because of discrimination against outsiders. Against this, however, there is evidence that low group status and minority subjects are less satisfied, and that low status subjects trust less other low status subjects

Facilitating the take-up of new HCI practices: a ‘diffusion of innovations’ perspective

The workshop Made for Sharing: HCI Stories of Transfer, Triumph & Tragedy focuses on collecting cases in which practitioners have used their HCI methods in new contexts. For analyzing the collected body of cases we propose to apply a framework inspired by the Diffusion of Innovations approach which focuses on what facilitates the adoption, re-invention and implementation of new practices in social systems

Stochastic network formation and homophily

This is a chapter of the forthcoming Oxford Handbook on the Economics of Networks