The Nature of Literacy: An Historical Exploration

1977 ◽  
Vol 47 (3) ◽  
pp. 370-385 ◽  
Author(s):  
Daniel Resnick ◽  
Lauren Resnick
Keyword(s):  
Reading Achievement ◽  
Reading Instruction ◽  
Historical Perspective ◽  
Pedagogical Practices ◽  
Entire Population ◽  
Reading Problems ◽  
Low Level ◽  
The Past ◽  
High Level ◽  
Historical Examination

In this article Daniel and Lauren Resnick bring an historical perspective to the present debate over reading achievement. From an historical examination of selected European and American models of literacy, they conclude that reading instruction has been aimed at attaining either a low level of literacy for a large number of people or a high level for an elite. Thus, the contemporary expectation—high levels of literacy for the entire population—represents a relatively recent development. From this stance the Resnicks argue that, contrary to the thrust of the "back to basics" movement, pedagogical practices from the past offer little remedy for reading problems as currently defined.

Tax Culture and Trust

2020 ◽  
Vol 19 (3) ◽  
pp. 363-387
Author(s):  
Irina Ivanovna Ogorodnikova ◽  
Irina Fedorovna Pecherkina ◽  
Nadezhda Vladimirovna Baksha ◽  
Anna Nikolaevna Tarasova
Keyword(s):  
Gradual Increase ◽  
Social Institutions ◽  
Public Trust ◽  
Institutional Trust ◽  
Russian Society ◽  
Strong Impact ◽  
Low Level ◽  
The Past ◽  
Main Component ◽  
High Level

Abstract The purpose of this research is to study the influence of the level of public trust in various social institutions and structures on shaping tax culture. The authors identify three components of tax culture, namely, tax morality, tax literacy, and tax behavior. Institutional trust as the main component of a tax paying culture has a strong impact on tax morality. The groups with a high level of institutional trust have only about a third as many tax deviations as the groups with a low level of institutional trust. Over the past decade, Russia has seen a gradual increase in trust, which contributes to strengthening tax morality and raising the level of tax culture in the population. This is manifested in increased tax collection and reduced tax arrears. Nevertheless, tax opportunism still persists in Russian society. Almost a third of citizens do not consider themselves obliged to pay taxes and are tolerant of tax deviations. This fact may serve as a factor in the reproduction of deviant forms of taxpayer behavior, together with a low level of tax literacy in the population.

scholarly journals Observation of Clouds Using the CSIR Transportable LIDAR: A Case Study over Durban, South Africa

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Lerato Shikwambana ◽  
Venkataraman Sivakumar
Keyword(s):  
Optical Depth ◽  
High Variability ◽  
Light Detection And Ranging ◽  
Extinction Coefficients ◽  
Atmospheric Research ◽  
Low Level ◽  
The Past ◽  
Stratocumulus Clouds ◽  
High Level

The Council for Scientific and Industrial Research (CSIR) transportable Light Detection And Ranging (LIDAR) was used to collect data over Durban (29.9°S, 30.9°E) during 20–23 November 2012. Aerosol measurements have been carried out in the past over Durban; however, no cloud measurements using LIDAR have ever been performed. Therefore, this study further motivates the continuation of LIDAR for atmospheric research over Durban. Low level clouds were observed on 20–22 November 2012 and high level clouds were observed on 23 November 2012. The low level cloud could be classified as stratocumulus clouds, whereas the high level clouds could be classified as cirrus clouds. Low level cloud layers showed high extinction coefficients values ranging between 0.0009 and 0.0044 m−1, whereas low extinction coefficients for high level clouds were observed at values ranging between 0.000001 and 0.000002 m−1. Optical depth showed a high variability for 20 and 21 November 2012. This indicates a change in the composition and/or thickness of the cloud. For 22 and 23 November 2012, almost similar values of optical depth were observed. Cloud-Aerosol LIDAR and Infrared Pathfinder Satellite Observations (CALIPSO) revealed high level clouds while the CSIR LIDAR could not. However, the two instruments complement each other well to describe the cloudy condition.

Visual Complexity Online and Its Impact on Children's Aesthetic Preferences and Learning Motivation

2018 ◽  
Vol 2 (2) ◽  
pp. 59-74
Author(s):  
Hsiu-Feng Wang ◽  
Julian Bowerman
Keyword(s):  
Informal Education ◽  
Visual Complexity ◽  
Learning Motivation ◽  
Low Level ◽  
The Past ◽  
Children’S Learning ◽  
Medium Level ◽  
High Level ◽  
The Relationship ◽  
Children's Learning

In the past, when most computers were workplace tools, researchers in the field of HCI predominately focused on practical aspects of computing, such as usability and efficiency. Now, with more and more computer technologies entering the home and other areas of life, such as schooling and informal education, an increasing number of researchers are exploring subjective issues related to computing. This research explored the relationship between visual complexity, aesthetics and learning motivation with respect to children's learning websites. It took the form of an experiment involving children aged 10 to 11 years-old viewing homepages designed for them. In the experiment, the children were divided into three groups. One group was shown homepages of a low level of visual complexity, another group was shown homepages of a medium level of visual complexity and another group was shown homepages of a high level of visual complexity. At the end of the experiment, the children were asked questions about the homepages; the questions were on the topics of aesthetics and motivation. In addition to exploring the relationship between visual complexity, aesthetics and learning motivation, the research tested Berylne's theory of preference: a theory that purports that people prefer medium level stimuli to high or low-level stimuli. The results of the experiment showed that children preferred aesthetics of a medium level of visual complexity, Berlyne's theory was thus supported. The results also revealed that aesthetic preference and learning motivation were correlated. These findings have implications for designers of children's learning websites as they suggest that by manipulating visual complexity, a user's viewing pleasure can be enhanced or depreciated.

scholarly journals Emergent synergistic biopsychosocial determinants of resiliency of subjects of extreme activity

2020 ◽  
Vol 6 (2) ◽  
pp. 42-48
Author(s):  
S. V. Kotovskaya ◽  
L. Y. Belenkova ◽  
I. M. Boyko
Keyword(s):  
Interpersonal Communication ◽  
Daily Activities ◽  
Occupational Groups ◽  
Low Level ◽  
The Past ◽  
Adequate Level ◽  
High Level ◽  
Male Subjects ◽  
Level Of Aspiration ◽  
Biopsychosocial Determinants

Purpose. To establish the emergent-synergistic biopsychosocial determinants of the resiliency of subjects of extreme activity.Materials and methods. To identify the determinants of resiliency 764 male subjects of various occupational groups, whose daily activities included an extreme component at a substantive level, were examined. All respondents were divided into 2 groups: a group of professionals with a high level of resiliency and a group of respondents with a low level of resiliency.Results. Comparison of biopsychosocial features of subjects of extreme activity with the different level of resiliency showed that respondents with the high level of resiliency were focused on strategic life utilization, possessedsthenichyperthymic-demonstrative type of the personality, rational perception of reality, adequate level of aspiration, satisfaction with achievements path from the past to the present. Representatives of group with the low level of resiliencypreferred tactical use of psychophysiological resources, were characterized by sthenichyperthymic type of the personality with prevalence of domination in interpersonal communication, the irrational attitude towards reality, overestimated level of aspiration with orientation towards the future achievements.

Using Concept Oriented Reading Instruction (CORI) to Promote Students’ Reading Comprehension

2017 ◽  
Vol 2 (1) ◽  
pp. 42
Author(s):  
Hilma Suryani
Keyword(s):  
Reading Achievement ◽  
Reading Instruction ◽  
Reading Strategies ◽  
Posttest Score ◽  
T Test ◽  
Control Group ◽  
Quasi Experimental ◽  
Effective Reading Strategies ◽  
And Control ◽  
Experimental Group

The problem of this study is “Does Concept Oriented Reading Instruction (CORI) enhance students’ reading achievement?” The design of this study was quasi-experimental. The sample of this study was taken from the population by using purposive sampling. The experimental group consisted of 39 students while the control group consisted of 35 students. The data were collected by using two instruments; test and questionnaire. The test was given twice to each group in order to see whether or not there was significance difference of pretest and posttest either in experimental or control group and whether or not there was significance difference of experimental and control group in terms of their posttest score. To prove the hypothesis, the data from pretest and posttest of experimental and control group were analyzed by applying paired sample t-test and independent sample t-test. The calculation was run by using SPSS computer program. The result of the study shows there was significance difference of students’ reading achievement between experimental and control group. Besides, the use of CORI as reading strategies was proved as effective reading strategies to enhance students’ reading achievement. Keywords: Concept Oriented Reading Instruction; reading strategy; reading achievement

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

Determinants of Abuse of the Bodies of the Dead

2019 ◽  
pp. 71-77
Author(s):  
Margarita Khomyakova
Keyword(s):  
Low Income ◽  
Criminal Code ◽  
Value Judgments ◽  
Legal Norms ◽  
Low Level ◽  
Medical Institutions ◽  
Specific Object ◽  
The Subject ◽  
The Dead ◽  
High Level

The author analyzes definitions of the concepts of determinants of crime given by various scientists and offers her definition. In this study, determinants of crime are understood as a set of its causes, the circumstances that contribute committing them, as well as the dynamics of crime. It is noted that the Russian legislator in Article 244 of the Criminal Code defines the object of this criminal assault as public morality. Despite the use of evaluative concepts both in the disposition of this norm and in determining the specific object of a given crime, the position of criminologists is unequivocal: crimes of this kind are immoral and are in irreconcilable conflict with generally accepted moral and legal norms. In the paper, some views are considered with regard to making value judgments which could hardly apply to legal norms. According to the author, the reasons for abuse of the bodies of the dead include economic problems of the subject of a crime, a low level of culture and legal awareness; this list is not exhaustive. The main circumstances that contribute committing abuse of the bodies of the dead and their burial places are the following: low income and unemployment, low level of criminological prevention, poor maintenance and protection of medical institutions and cemeteries due to underperformance of state and municipal bodies. The list of circumstances is also open-ended. Due to some factors, including a high level of latency, it is not possible to reflect the dynamics of such crimes objectively. At the same time, identification of the determinants of abuse of the bodies of the dead will reduce the number of such crimes.

scholarly journals EXPRESS: Marketers Project Their Personal Preferences onto Consumers: Overcoming the Threat of Egocentric Decision Making

2021 ◽  
pp. 002224372199837
Author(s):  
Walter Herzog ◽  
Johannes D. Hattula ◽  
Darren W. Dahl
Keyword(s):  
Decision Making ◽  
Consumer Preferences ◽  
Research Question ◽  
Pilot Studies ◽  
Low Level ◽  
Marketing Managers ◽  
False Consensus Effect ◽  
False Consensus ◽  
High Level

This research explores how marketing managers can avoid the so-called false consensus effect—the egocentric tendency to project personal preferences onto consumers. Two pilot studies were conducted to provide evidence for the managerial importance of this research question and to explore how marketing managers attempt to avoid false consensus effects in practice. The results suggest that the debiasing tactic most frequently used by marketers is to suppress their personal preferences when predicting consumer preferences. Four subsequent studies show that, ironically, this debiasing tactic can backfire and increase managers’ susceptibility to the false consensus effect. Specifically, the results suggest that these backfire effects are most likely to occur for managers with a low level of preference certainty. In contrast, the results imply that preference suppression does not backfire but instead decreases false consensus effects for managers with a high level of preference certainty. Finally, the studies explore the mechanism behind these results and show how managers can ultimately avoid false consensus effects—regardless of their level of preference certainty and without risking backfire effects.

Exploring The Effect of Visual Information Degradation on Human Perception and Performance In A Human-Telerobot System

2020 ◽  
Vol 64 (1) ◽  
pp. 1302-1307
Author(s):  
Richard Stone ◽  
Minglu Wang ◽  
Thomas Schnieders ◽  
Esraa Abdelall
Keyword(s):  
Visual Information ◽  
Human Perception ◽  
Low Level ◽  
Hit Rate ◽  
Word Level ◽  
Level Of Automation ◽  
Significant Difference ◽  
Human Operators ◽  
And Performance ◽  
High Level

Human-robotic interaction system are increasingly becoming integrated into industrial, commercial and emergency service agencies. It is critical that human operators understand and trust automation when these systems support and even make important decisions. The following study focused on human-in-loop telerobotic system performing a reconnaissance operation. Twenty-four subjects were divided into groups based on level of automation (Low-Level Automation (LLA), and High-Level Automation (HLA)). Results indicated a significant difference between low and high word level of control in hit rate when permanent error occurred. In the LLA group, the type of error had a significant effect on the hit rate. In general, the high level of automation was better than the low level of automation, especially if it was more reliable, suggesting that subjects in the HLA group could rely on the automatic implementation to perform the task more effectively and more accurately.

Machine learning for rediscovering revolutionary ideas of the past

2021 ◽  
pp. 105971232098304
Author(s):  
R Alexander Bentley ◽  
Joshua Borycz ◽  
Simon Carrignon ◽  
Damian J Ruck ◽  
Michael J O’Brien
Keyword(s):  
Language Processing ◽  
Scientific Progress ◽  
Phylogenetic Inference ◽  
The Past ◽  
New Methods ◽  
Inherent Nature ◽  
Social Learning Processes ◽  
High Level ◽  
Scientific Ideas ◽  
Revolutionary Science

The explosion of online knowledge has made knowledge, paradoxically, difficult to find. A web or journal search might retrieve thousands of articles, ranked in a manner that is biased by, for example, popularity or eigenvalue centrality rather than by informed relevance to the complex query. With hundreds of thousands of articles published each year, the dense, tangled thicket of knowledge grows even more entwined. Although natural language processing and new methods of generating knowledge graphs can extract increasingly high-level interpretations from research articles, the results are inevitably biased toward recent, popular, and/or prestigious sources. This is a result of the inherent nature of human social-learning processes. To preserve and even rediscover lost scientific ideas, we employ the theory that scientific progress is punctuated by means of inspired, revolutionary ideas at the origin of new paradigms. Using a brief case example, we suggest how phylogenetic inference might be used to rediscover potentially useful lost discoveries, as a way in which machines could help drive revolutionary science.

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