This article provides instructors with guidelines for teaching simple experimental design for the comparison of two treatment groups. Two designs with specific examples are discussed along with common misconceptions that undergraduate students typically bring to the experiment design process. Features of experiment design that maximize power and minimize the effects of interindividual variation...

DATA-CHASER consists of two synergetic projects, DATA and CHASER, which will y as a Hitch-hiker payload aboard the Space Shuttle in 1997. A technology experiment, DATA (Distribution and Automation Technology Advancement) seeks to advance human support technology. CHASER (Col-orado Hitchhiker and Student Experiment of Solar Radiation) is a solar science experiment that serves to test DATA. The D...

Selection and Mode Effects in Risk Preference Elicitation Experiments We combine data from a risk preference elicitation experiment conducted on a representative sample via the Internet with laboratory data on students for the same experiment to investigate effects of implementation mode and of subject pool selection. We find that the frequency of errors in the lab experiment is drastically bel...

Professional Development School (PDS) partnerships offer a powerful leverage point for the improvement of student learning in the K-12 sector and a unique opportunity to experiment with new forms of online learning for the adults who work in and with schools. In this paper we present lessons learned in the design and delivery of online courses to teacher educators, classroom teachers, support p...

In this article, fairness, interaction and timeliness issues with the current university experimental course evaluation system are analysed. The article presents an evaluation approach based on the processes behind experimentrelated courses. The model emphasises the evaluation of the whole experimental process, embodies the characteristics of computer-aided experiments and student-oriented phil...

University courses often employ “one-size-fits-all” approaches, disregarding the heterogeneity in students' cognitive and motivational characteristics. This intervention study reports on an individualized learning design for online teaching higher education. In a randomized field experiment with N = 438 university students (57% female, mean age M 20.96 years), we investigated effects of motivat...

Artificial Intelligence offers a compelling backdrop for student assignments and projects even very early in the computer science curriculum. We have leveraged so-called high-level AI, in the form of reasoning about language and game-playing to motivate students in CS 1. More recently we have added activities that might be described as “lower-level” AI: robotics programming via both simulated a...