Diffusion of technological innovation in a foreign languages unit in Turkey: a focus on risk‐aversive teachers

Taking advantage of Rogers' Diffusion of Innovations Theory, which suggests that adoption of a specific innovation is critically influenced by the way the adopters receive it, this article aims at presenting the implementation process of such an innovation in the form of Computer Assisted Language Learning (CALL) in an English as a Foreign Language teaching context. Conceptualised as interview research, the study used an open‐ended protocol and spontaneously generated probes to seek teachers' profiles involved in the CALL uptake. Applying Hagner and Schneebeck's adaptation of Rogers' ‘adopters’ characterisation scheme, it was discovered that risk‐aversive teachers dominated the group of teachers involved in the implementation. This article also defines some of the strategies employed during the implementation process to meet the teachers' needs, and encourage their involvement in the actual CALL uptake.     

Modulation of attention in discrimination learning: The roles of stimulus relevance and stimulus–outcome correlation

The advantage in learning after an intradimensional shift rather than an extradimensional shift has been widely used as a behavioural marker of attentional changes during discrimination learning in different fields of neuroscientific study. However, some of the factors assumed to guide these attentional changes have not been completely disentangled by previous research. In two predictive-learning experiments, we investigated the importance of stimulus relevance and of stimulus-outcome correlation for the modulation of attention. In each experiment, participants were trained on two discrimination problems given in successive order. Each problem required participants to differentiate stimuli varying on two dimensions. We found that acquisition of the second discrimination was influenced by whether its relevant dimension (Exp. 1) or its irrelevant dimension (Exp. 2) had previously been trained as relevant and uncorrelated or as irrelevant and uncorrelated. We also observed that acquisition of the second discrimination was independent of whether its relevant dimension (Exp. 1) or its irrelevant dimension (Exp. 2) had previously been trained as relevant and uncorrelated or as relevant and correlated. Our results indicated that the modulation of attention is guided by stimulus relevance and not by stimulus-outcome correlation.     

Removing but not adding elements of a context affects generalization of instrumental responses

Three experiments with rats investigated whether adding or removing elements of a context affects generalization of instrumental behavior. Each of the experiments used a free operant procedure. In Experiments 1 and 2, rats were trained to press a lever for food in a distinctive context. Then, transfer of lever pressing was tested in a context created either by adding an element to the context of initial acquisition or by removing one of the acquisition context’s elements. In Experiment 3, a similar generalization test was conducted after rats received acquisition and extinction within the same context. For Experiments 1 and 2, we observed that removing elements from the acquisition context disrupted acquisition performance, whereas the addition of elements to the context did not. Experiment 3 revealed that removing elements from but not adding elements to the original context improved extinction performance. Our results are consistent with an elemental view of context representation.     

Changes in Students’ Views about Nature of Scientific Inquiry at a Science Camp

Although nature of science (NOS) and nature of scientific inquiry (NOSI) are related to each other, they are differentiated as NOS is being more related to the product of scientific inquiry (SI) which is scientific knowledge whereas NOSI is more related to the process of SI (Schwartz et al. 2008). Lederman et al. (Journal of Research in Science Teaching, 51, 65–8, 2014) determined eight NOSI aspects for K-16 context. In this study, a science camp was conducted to teach scientific inquiry (SI) and NOSI to 24 6th and 7th graders (16 girls and 8 boys). The core of the program was guided inquiry in nature. The children working in small groups under guidance of science advisors conducted four guided-inquiries in the nature in morning sessions on nearby plants, animals, water, and soil. NOSI aspects were made explicit during and at the end of each inquiry session. Views about scientific inquiry (VASI) (Lederman et al. Journal of Research in Science Teaching, 51, 65–8, 2014) questionnaire was applied as pre- and post-test. The results of the study showed that children developed in all eight NOSI aspects, but higher developments were observed in “scientific investigations all begin with a question” and “there is no single scientific method,” and “explanations are developed from data and what is already known” aspects. It was concluded that the science camp program was effective in teaching NOSI.     

An exploration of the feature-positive effect in adult humans

Experiment 1 compared the acquisition of a feature-positive and a feature-negative discrimination in humans. In the former, an outcome was signaled by two stimuli together, but not by one of these stimuli alone. In the latter, the outcome was signaled by one stimulus alone, but not by two stimuli together. Using a within-group design, the experiment revealed that the feature-positive discrimination was acquired more readily than the feature-negative discrimination. Experiment 2 tested an explanation for these results, based on the Rescorla-Wagner theory, by examining how novel discriminations, based on a combination of a feature-positive and a feature-negative discrimination, were solved. The results did not accord with predictions from the theory. Alternative explanations for the results are considered.     

Test for assessing coding skills in early childhood

Education and Information Technologies - This research aims to develop a valid and reliable test to determine the coding skill levels of 5–7 years old children in early childhood....