How demanding is the revealed preference approach to demand

A well known problem with revealed preference methods is that when data are found to satisfy their restrictions it is hard to know whether this should be viewed as a triumph for economic theory, or a warning that these conditions are so undemanding that almost anything goes. This paper allows researchers to make this distinction. Our approach builds on theoretical support in the form of an axiomatic cardinal characterisation of a measure of predictive success due to Selten(1991). We illustrate the idea using a large, nationally representative panel survey of Spanish consumers with broad commodity coverage. The results show that this approach to revealed preference methods can lead us radically to reassess our view of the empirical performance of economic theory.

Probing physics students' conceptual knowledge structures through term association

Traditional tests are not effective tools for diagnosing the content and structure of students' knowledge of physics. As a possible alternative, a set of term-association tasks (the "ConMap" tasks) was developed to probe the interconnections within students' store of conceptual knowledge. The tasks have students respond spontaneously to a term or problem or topic area with a sequence of associated terms; the response terms and timeof- entry data are captured. The tasks were tried on introductory physics students, and preliminary investigations show that the tasks are capable of eliciting information about the stucture of their knowledge. Specifically, data gathered through the tasks is similar to that produced by a hand-drawn concept map task, has measures that correlate with inclass exam performance, and is sensitive to learning produced by topic coverage in class. Although the results are preliminary and only suggestive, the tasks warrant further study as student-knowledge assessment instruments and sources of experimental data for cognitive modeling efforts.Comment: 31 pages plus 2 tables and 8 figure

Pwning Level Bosses in MATLAB: Student Reactions to a Game-Inspired Computational Physics Course

We investigated student reactions to two computational physics courses incorporating several videogame-like aspects. These included use of gaming terminology such as "levels," "weapons," and "bosses"; a game-style point system linked to course grades; a self-paced schedule with no deadlines; a mastery design in which only entirely correct attempts earn credit, but students can retry until they succeed; immediate feedback via self-test code; an assignment progression from "minions" (small, focused tasks) to "level bosses" (integrative tasks); and believable, authentic assignment scenarios. Through semi-structured interviews and course evaluations, we found that a majority of students considered the courses effective and the game-like aspects beneficial. In particular, many claimed that the point system increased their motivation; the self-paced nature caused them to reflect on their self-discipline; the possibility and necessity of repeating assignments until perfect aided learning; and the authentic tasks helped them envision using course skills in their professional futures.Comment: Accepted for publication in the proceedings of the 2014 Physics Education Research Conference (PERC