916 research outputs found
In Search for Instructional Techniques to Maximize the Use of Germane Cognitive Resources: A Case of Teaching Complex Tasks in Physics
The purpose of this study was to introduce an instructional technique for teaching complex tasks in physics, test its effectiveness and efficiency, and understand cognitive processes taking place in learners\u27 minds while they are exposed to this technique. The study was based primarily on cognitive load theory (CLT). CLT determines the amount of total cognitive load imposed on a learner by a learning task as combined intrinsic (invested in comprehending task complexity) and extraneous (wasteful) cognitive load. Working memory resources associated with intrinsic cognitive load are defined as germane resources caused by element interactivity that lead to learning, in contrast to extraneous working memory resources that are devoted to dealing with extraneous cognitive load. However, the amount of learner\u27s working memory resources actually devoted to a task depends on how well the learner is engaged in the learning environment. Since total cognitive load has to stay within limits of working memory capacity, both extraneous and intrinsic cognitive load need to be reduced. In order for effective learning to occur, the use of germane cognitive resources should be maximized. In this study, the use of germane resources was maximized for two experimental groups by providing a learning environment that combined problem-solving procedure with prompts to self-explain with and without completion problems.
The study tested three hypotheses and answered two research questions. The first hypothesis predicting that experimental treatments would reduce total cognitive load was not supported. The second hypothesis predicting that experimental treatments would increase performance was supported for the self-explanation group only. The third hypothesis that tested efficiency measure as adopted from Paas and van Merriënboer (1993) was not supported. As for the research question of whether the quality of self-explanations would change with time for the two experimental conditions, it was determined that time had a positive effect on such quality. The research question that investigated learners\u27 attitudes towards the instructions revealed that experimental groups understood the main idea behind the suggested technique and positively reacted to it. The results of the study support the conclusions that (a) prompting learners to self-explain while independently solving problems can increase performance, especially on far transfer questions; (b) better performance is achieved in combination with increased mental effort; (c) self-explanations do not increase time on task; and (d) quality of self-explanations can be improved with time. Results based on the analyses of learners\u27 attitudes further support that learners in the experimental groups understood the main idea behind the suggested techniques and positively reacted to them. The study also raised concern about application of efficiency formula for instructional conditions that increase both performance and mental effort in CLT. As a result, an alternative model was suggested to explain the relationship between performance and mental effort based on Yerkes-Dodson law (1908)
Murine leukemia virus (MLV) replication monitored with fluorescent proteins
Background: Cancer gene therapy will benefit from vectors that are able to replicate in tumor tissue and cause a bystander effect. Replication-competent murine leukemia virus (MLV) has been described to have potential as cancer therapeutics, however, MLV infection does not cause a cytopathic effect in the infected cell and viral replication can only be studied by immunostaining or measurement of reverse transcriptase activity. Results: We inserted the coding sequences for green fluorescent protein (GFP) into the proline-rich region (PRR) of the ecotropic envelope protein (Env) and were able to fluorescently label MLV. This allowed us to directly monitor viral replication and attachment to target cells by flow cytometry. We used this method to study viral replication of recombinant MLVs and split viral genomes, which were generated by replacement of the MLV env gene with the red fluorescent protein (RFP) and separately cloning GFP-Env into a retroviral vector. Co-transfection of both plasmids into target cells resulted in the generation of semi-replicative vectors, and the two color labeling allowed to determine the distribution of the individual genomes in the target cells and was indicative for the occurrence of recombination events. Conclusions: Fluorescently labeled MLVs are excellent tools for the study of factors that influence viral replication and can be used to optimize MLV-based replication-competent viruses or vectors for gene therapy
Addressing Language and Culture Differences in Health Care Settings
Health care encounters can be stressful, compromising a patientâs ability to fully engage and understand. This is particularly challenging for patients who are limited-English proficient (LEP) and not able to speak, read, write or understand English at levels appropriate for successful encounters in healthcare settings. To provide quality care to the increasing number of LEP patients from different cultural backgrounds, health care practices have to bridge that communication gap with linguistically and culturally appropriate services
Scalable Techniques for Behavioral Analysis and Forecasting
The ability to model, forecast, and analyze the behaviors of other
agents has applications in many diverse contexts. For example, behavioral models can be used in multi-player games to forecast an opponent's next move, in economics to forecast a merger decision by a CEO, or in international politics to predict the behavior of a rival state or group. Such models can facilitate formulation of effective mitigating responses and provide a foundation for decision-support technologies.
Behavioral modeling is a computationally challenging problem--real world data sets can contain on the order of 10^30,000 possible behaviors in any given situation. This work presents several scalable frameworks for modeling and forecasting agent behavior, particularly in the realm of international security dynamics. A probabilistic logic formalism for modeling and forecasting behavior is described, as well as distributed algorithms for efficient reasoning in this framework. To further cope with the scale of this problem, forecasting methods are also introduced that operate directly on time series data, rather than an intermediate behavioral model, to forecast actions and situations at some time in the future. Agent behavior can be adaptive, and in rare circumstances can deviate from the statistically "normal" past behavior. A system is also presented that can forecast when and how such behavioral changes will occur. These forecasting techniques, as well as any arbitrary time series forecasting approach, can be classified by a general axiomatic framework for forecasting in temporal databases.
The knowledge gained from behavioral models and forecasts can be employed by decision-makers to develop effective response policies. An efficient framework is provided for identifying the optimal changes to the state of the world to elicit desired behaviors from another agent, balancing cost with likelihood of success. These modeling and analysis tools have also been incorporated into a prototype decision-support system and used in several case studies of real-world international security situations
The Little Engine That Couldnât: Societal Fears, Upward Mobility, and the Failure of Technology in Mark Twainâs Works
Process developments in electrochemical arc machining.
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âFor The Homelandâ: Die Deutsche Hausfrau and Reader Responses to World War I
When the Great War broke out in the summer of 1914, many German Americans living in the United States expressed renewed support and loyalty for Germany in the German-language press. While scholars have thoroughly examined the collective experiences and sentiments of German Americans in the U.S. during World War I, particularly in their press, German-American women and their press have remained largely underrepresented. Notably, however, as evidenced by the largest nationally circulated monthly womenâs journal of the time, Die Deutsche Hausfrau (The German Housewife), German-American women did indeed use their press as well to convey increasingly pro-German rhetoric in support of their âold homelandâ through their letters to the editor. Readersâ letters reveal that they expressed their support for Germany in two distinct ways: by embracing and sharing in the politics of the war and by advocating for the importance of the multiple facets of their German heritage, such as language, homeland, relatives, and culture. Through this use of the press to express themselves, readers strengthened their role as active members of their local and international communities, merged their private and public spheres, and reinforced ties to their German cultural and political identity. Although the legislative restrictions placed on the press after the U.S. joined the war shifted the pro-German and transnational tone of the magazine to focus more on American interests in the war, Die Deutsche Hausfrau continued to emphasize the role of German-American women in society and their contributions to their communities
A Follow-Up Study of Graduates of East Richland High School Who Participated in the Music Program
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