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Research has identified 10 high-leverage teaching practices (HLTPs) that can impact student learning of a foreign language. While acknowledging the importance of this work, more research is needed to inform the preparation of novice teachers to enact these practices. In response, the researchers conducted a case study involving two foreign language teacher preparation programs in the United States and Germany, to better understand how the two very different programs prepare their candidates to implement HLTPs, which HLTPs are emphasized, and how successful they are at preparing their aspiring teachers to implement one practice that has been identified in the research as particularly important (facilitating target language comprehensibility). Survey, teaching observation, and interview data collected from teacher candidates and their instructors suggested the critical nature of select HLTPs, that some of the subcomponents of one of these practices may be more challenging for novice teachers to master than others, and that there may be multiple approaches to preparing foreign language teachers to implement HLTPs.
This volume is largely about nontraditional data; this paper is about a nontraditional visualization: classification trees. Using trees with data will be new to many students, so rather than beginning with a computer algorithm that produces optimal trees, we suggest that students first construct their own trees, one node at a time, to explore how they work, and how well. This build-it-yourself process is more transparent than using algorithms such as CART; we believe it will help students not only understand the fundamentals of trees, but also better understand tree-building algorithms when they do encounter them. And because classification is an important task in machine learning, a good foundation in trees can prepare students to better understand that emerging and important field. We also describe a free online tool—Arbor—that students can use to do this, and note some implications for instruction.
The saving of previously encoded information boosts both memory for subsequent information (saving-enhanced memory; SEM) as well as cognitive performance in general (saving-enhanced performance; SEP). These findings have been replicated in a setting that involves the assistance by an intelligent software that automatically structures and saves work content in an interactive sidebar. It is assumed that beneficial effects on cognitive performance due to (automatic) saving are caused by a reduction in current workload by means of cognitive offloading. We tested this assumption by measuring neural activity in the dorsolateral prefrontal cortex (DLPFC) via functional near infrared spectroscopy (fNIRS)—once after saving and once after deleting of previously collected information that had to be recalled later-on. On a behavioral level, there was a brief benefit of saving. However, cognitive offloading became most apparent on a neural level: after saving, participants showed significantly lower activation in the right DLPFC. Also, the more participants benefited from cognitive offloading, the more they were able to re-access previously collected, saved information. Thus, fNIRS results indicated reduced mental load after saving, confirming the assumption that saving triggers cognitive offloading.
Two experiments examined effects of including an information about a disability in a person description on memory about that person’s traits. In Experiment 1, this information impaired correct recognition of traits of a person that had been described in correspondence to gender stereotypes. In Experiment 2, it induced false memories in accordance with stereotypes about people with disabilities. Participants’ false alarms for traits belonging to the dimension of warmth increased, whereas false alarms for traits belonging to the dimension of competence decreased. Thus, activating stereotypes through a disability prime influenced what could be recognized correctly or falsely was assumed to be recognized about a person.
The notion of “bounded rationality” was introduced by Simon as an appropriate framework for explaining how agents reason and make decisions in accordance with their computational limitations and the characteristics of the environments in which they exist (seen metaphorically as two complementary scissor blades).We elaborate on how bounded rationality is usually conceived in psychology and on its relationship with logic. We focus on the relationship between heuristics and some non-monotonic logical systems. These two categories of cognitive tools share fundamental features. As a step further, we show that in some cases heuristics themselves can be formalized from this logic perspective. We have therefore two main aims: on the one hand, to demonstrate the relationship between the bounded rationality programme and logic, understood in a broad sense; on the other hand, to provide logical tools of analysis of already known heuristics. This may lead to results such as the characterization of fast and frugal binary trees in terms of their associated logic program here provided.
Retrieval-based learning has been investigated in various populations. The present study examined retrieval-based learning in a sample of students at a special-needs school with educational tracks for learning and mental development. In addition, a comparison group of students at a regular school was examined. Learning conditions were manipulated within participants. In a first session, participants either received restudy cycles only, or they received alternating test and restudy cycles. A second session then comprised the opposite form of practice. In both sessions, a final test assessed memory after a short distractor phase. This procedure was the same in two experiments but with different kinds of item material. For both kinds (images and image-word pairs), a testing effect occurred, that is higher recall of tested items. These results show that lower cognitive ability or lack of experience with regularly being tested in school do not prevent students from benefiting from retrieval-based learning.
For some people with strong motor impairments, controlling a computer with theeyes is the only possibility for human-computer interaction. In addition, gaze controlis becoming a new option as an input device for the general population as wellbecause of the increasing availability of eye-tracking technology. Yet, little is knownabout additional cognitive demands involved in gaze control and how to handlepotentially high demands when using the eyes not only for perception but also foraction. The present study shows that cognitive offloading improves performancewhen using gaze control. Memory for to-be-studied items benefitted significantlyfrom saving another set of items just studied before for later restudy. Employing cog-nitive offloading in a targeted manner may be a useful means to assist in mastering eye-gaze control.
We consider groups defined by non-empty balanced presentations with the property that each relator is of the form, where x and y are distinct generators and is determined by some fixed cyclically reduced word that involves both a and b. To every such presentation we associate a directed graph whose vertices correspond to the generators and whose arcs correspond to the relators. Under the hypothesis that the girth of the underlying undirected graph is at least 4, we show that the resulting groups are non-trivial and cannot be finite of rank 3 or higher. Without the hypothesis on the girth it is well known that both the trivial group and finite groups of rank 3 can arise.
Females and students of non-dominant ethnicity are less likely to aspire to science careers. However, overcoming discrimination in science and chemistry is a challenging task, especially in vocational orientation. Thus, there is a need for strategies to support young women in their identity formation in science and chemistry. This article presents a scheme for supporting young women’s science identity formation in conversations about vocational orientation. The goal is to support young women in developing a positive attitude towards careers in chemistry. This attitude is part of cultural chemistry capital. The scheme was developed based on a study conducted as part of the project DiSenSu. Here, coachings for vocational orientation for young women in science and chemistry are provided, following the idea of Science in Public. In the coaching, the attitudes towards science and chemistry were determined using quantitative data. Based on these results, coaches conducted conversations with the participants. Qualitative analysis of 11 conversations revealed strategies coaches used to support young women in their vocational orientation. The study shows how the participants’ attitude towards careers in chemistry is used as a starting point for coachings. Also, it provides strategies that can be used to promote young women’s cultural chemistry capital.