Categorical color coding by pigeons

Pigeons were trained on two independent tasks. One involved red and yellow hues, the other involved blue and green hues. For half of the birds, the two tasks were the same (i.e., both tasks were either matching-to-sample, or oddity-from-sample). For the remaining birds, the two tasks were different (i.e., one task was matching-to-sample; the other task was oddity-from-sample). Following acquisition, the pigeons were exposed to test trials on which either the correct or the incorrect comparison hue was replaced with one of the hues from the other task. On yellow-sample trials and on green-sample trials, the pigeons performed as if they had a common code for yellow and green. When there was one comparison available that was appropriate to the “yellow/green” code, performance remained high; but when either both comparisons or neither comparison was appropriate to the “yellow/green” code, performance dropped. The pigeons also tended to code red samples as green and to code blue samples as yellow. The results indicate that pigeons can categorically code colors under conditions that rule out a failure to discriminate among the colors.     

Teaching the design and interpretation of graphs through computer-aided graphical data analysis

Graphs are one of the primary means of exploration and communication in the practice of science, but students in science laboratories are customarily taught only the low-level mechanics of constructing a single kind of graph when given a table of information. The use of a microcomputer can relieve the drudgery of plotting, allowing students to pursue higher-level issues in the design and interpretation of graphs through repeated “thought experiments.” We introduced computer-assisted graphical data analysis to inner-city high school students with weak math and science backgrounds, emphasizing the dynamic manipulation of various kinds of graphs to answer specific questions. Drawing on extensive recordings and classroom observations, we describe examples of the performance of these students on open-ended problem-solving tasks in which graphs can be used to arrive at meaningful answers to applied data analysis problems.     

How to encourage a lifelong learner? The complex relation between learning strategies and assessment in a medical curriculum

Abstract

To foster lifelong learning skills, we need new didactic approaches with aligned assessment methods. Therefore, we investigated whether the outcomes of a project assignment show a different relation to learning strategies than a longitudinal knowledge-based assessment. We studied learning strategies of first year students of medicine and biomedical sciences (n?=?248) and performed hierarchical regression analyses for the learning strategies and grades of the longitudinal knowledge-based test and project assignment. Scores of students, measured with the Motivated Strategies for Learning Questionnaire (Likert scale 1–7), were relatively low for critical thinking (3.53), compared to rehearsal (4.40), elaboration (4.82), organisation (4.69) and metacognitive self-regulation (4.33). Knowledge based tests showed a significant relation to elaboration (p?<?0.01). For the project-based assessment, we did not find a significant relation to any learning strategy (p?=?0.074). Explained variance of the grades was low for all learning strategies (R² < 0.043). Different types of assessment did not discriminate between students with high or low scores on learning strategies associated with lifelong learning. An explanation is that the curriculum is not aligned with assessment, or students do not benefit in terms of grades. We conclude that, if assessment is to drive lifelong learning skills, this is not self-evident.     

Consistently inconsistent: An examination of the variability in the identification of emotional disturbance

The federal definition of emotional disturbance (ED) has been heavily criticized as vaguely defined and poorly operationalized yet there has not been a formal analysis of the reliability of the ED criteria. This study examined the reliability of the federal criteria for a special education designation of ED. A total of 179 school psychologists reviewed a mock special education report, made an eligibility determination, and provided information about their eligibility decision. In all, 56 participants found the student met ED eligibility criteria using 16 different combinations of the five criteria. Krippendorff’s α, a statistic preferred for content analysis, was calculated as a measure of criterion reliability. Results indicated extremely poor reliability (α = 0.2011). These findings demonstrate the importance of redefining the existing criteria.     

The effects of extrinsic reinforcement on intrinsic motivation

In this paper, the role of extrinsic reinforcement in intrinsic motivation is discussed in terms of Deci's cognitive attribution theory. The competing response hypothesis and the frustration hypothesis are presented as alternative modes of analysis. “Undermining” is the phenomenon proposed by the cognitive attribution theorists that accounts for reported decrements in intrinsically motivated behaviors following external rewards. The literature regarding undermining in token economy research is critically evaluated. The author concludes that: (a) Cognitive attribution theory lacks parsimony, in that extant reinforcement analysis can account for undermining with equal facility. (b) Undermining is of little significance as a concept, due to its elusive and transient impact on operant behavior.