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This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use these models to apply active, real-time interventions when the learning appears less than optimal. We first use self-organizing artificial neural networks to identify the most(More)
A total 31 psychoactive drugs were offered to groups of naive rats for IV self-administration and an injection rate greater than that for rats offered only saline indicated reinforcement. Two protocols were used: in the first, rats were offered drug at a selected dose for 5 days, then the dose was reduced by 1 log unit (to 0.1 the original dose) for an(More)
This paper describes a software tool that utilizes the Tablet PC's natural user interface to provide interactivity between an instructor and her students in an organic chemistry course. The instructor and the students are equipped with electronic tablets and wireless access to the Internet. The software tool, called OrganicPad, enables an instructor to(More)
Helping students understand "chemical energy" is notoriously difficult. Many hold inconsistent ideas about what energy is, how and why it changes during the course of a chemical reaction, and how these changes are related to bond energies and reaction dynamics. There are (at least) three major sources for this problem: 1) the way biologists talk about(More)
While evolutionary theory follows from observable facts and logical inferences (Mayr, 1985), historically, the origin of novel inheritable variations was a major obstacle to acceptance of natural selection (Bowler, 1992; Bowler, 2005). While molecular mechanisms address this issue (Jablonka and Lamb, 2005), analysis of responses to the Biological Concept(More)
Metacognition is fundamental in achieving understanding of chemistry and developing of problem solving skills. This paper describes an across-method-and-time instrument designed to assess the use of metacognition in chemistry problem solving. This multi method instrument combines a self report, namely the Metacognitive Activities Inventory (MCA-I), with a(More)
This paper describes a novel intelligent tutoring system called beSocratic, which targets question types that allow students to respond with free-form input but are able to be automatically evaluated and analyzed. Using beSocratic's GraphPad module, students are able to draw data structures using a mouse, touch, or a stylus. Once a student has completed a(More)
A number of research studies indicate that students often have difficulties in understanding the presence and/or the implications of stochastic processes within biological systems. While critical to a wide range of phenomena, the presence and implications of stochastic processes are rarely explicitly considered in the course of formal instruction. To help(More)
1. Abstract This paper describes how BeSocratic can be used to improve learning and class interaction. BeSocratic is a novel intelligent tutoring system that aims to fill the gap between simple multiple-choice systems and free-response systems. The system includes a set of interactive modules that provide instructors with powerful tools to assess student(More)
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alone and will require interventions to continue making strategic progress. One particularly useful form of intervention was face-to-face collaborative learning which increased the(More)