Steiner and the Humours: The Survival of Ancient Greek Science

The paper reviews the way in which Steiner schools have attached importance to the categorisation of pupil character and behaviour, drawing on a tradition going back to ancient Greek science.     

Turning techno-savvy into info-savvy: authentically integrating information literacy into the college curriculum

It is no longer effective to provide information literacy instruction that is thought to be “good for” college students, but rather, instruction must focus on the learning styles and preferences of the target population. This case study reports a series of hands-on/minds-on information literacy activities that dissolve student's misconception that “techno-savvy” is synonymous with information literate. Careful and thorough instruction in the mining of popular Internet search engines for authoritative information was coupled with instruction in the use of traditional library resources. It was found that the college students studied possess a high need for clarity and a low tolerance for ambiguity, and therefore any activities assigned must be thoroughly, yet succinctly, described in order to achieve success. Combining traditional information literacy instruction with novel approaches appeals to the confidence in and reliance on Internet search engines that college students exhibit, while it moves this microcosm toward a higher level of information literacy and commitment to life long learning.     

To Catch a Liar: Challenges for Research in Lie Detection Training

Can we train people to detect deception? It is the contention of this article that communication scholars should learn how to train law enforcement professionals on how to detect high stake lies, like those faced by police, judges, customs officials, immigration officials, and so forth. It is proposed that in order to know whether we can train or should bother to train people to detect deception, each training study must meet 6 challenges: (1) relevance, (2) high stakes, (3) proper training, (4) proper testing, (5) generalizability across situations, and (6) generalizability over time. Our quantitative review of the literature suggests that training does significantly raise lie detection accuracy rates. Meta-analytic findings indicate a mean effect size of r = .20 across 20 (11 published studies) paired comparisons of lie detection training versus the control group (i.e., those without some type of training). It should be noted that the majority of the studies that attempt to train lie detectors fall short on many of the above challenges. Current research in lie detection training may actually underestimate the ability to train lie detectors due to the stimulus materials employed in most experiments.