634 research outputs found

    The Effect of a ‘Learning Theories’ Unit on Students’ Attitudes Toward Learning

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    People can improve themselves cognitively, professionally, academically, and in terms of their quality of life by continuous learning. Teachers, who are charged with bringing up new members of society, have to be aware of the importance of developing the ability to learn. This study examined how their knowledge of learning theories affected the attitudes of teacher candidates toward learning. For this purpose, students were given a scale of attitudes toward learning, as a pre-test and a post-test after introduction to the subject of learning theories. Data obtained from 150 participants were processed in SPSS 15.0; paired samples t-tests, independents samples t-tests and correlation tests were conducted. The results suggested that individuals with better understandings of the learning process are better at perceiving the nature of learning, more open to learning, have higher expectations about what they will get from learning and exhibit less anxiety in relation to learning

    Covers of Query Results

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    We introduce succinct lossless representations of query results called covers. They are subsets of the query results that correspond to minimal edge covers in the hypergraphs of these results. We first study covers whose structures are given by fractional hypertree decompositions of join queries. For any decomposition of a query, we give asymptotically tight size bounds for the covers of the query result over that decomposition and show that such covers can be computed in worst-case optimal time up to a logarithmic factor in the database size. For acyclic join queries, we can compute covers compositionally using query plans with a new operator called cover-join. The tuples in the query result can be enumerated from any of its covers with linearithmic pre-computation time and constant delay. We then generalize covers from joins to functional aggregate queries that express a host of computational problems such as aggregate-join queries, in-database optimization, matrix chain multiplication, and inference in probabilistic graphical models

    A Discussion of ICT Integration within Developed and Developing World Context from Critical Perspectives

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    AbstractThe main purpose of this study is to understand and reflect the effect of the Information and Communication Technologies (ICT) integration into society and schools especially to teacher education programs within two domains of the developed and under developing world throughout multicultural education, critical theory, and critical pedagogy. Based on the literature; multicultural education, critical theory, and critical pedagogy were briefly discussed. Then, from these perspectives ICT integration in developed countries view, and the developing countries view explained from the social and economic aspects. As a result of this discussion some important suggestion were made regarding of ICT implementation in developing countries based on critical approaches. It is believed that this study would likely extend the understanding of the integration of ICT into schooling in developing countries. It was suggested that ICT integration into education in developing world should be seen as a vehicle of democratization and liberation not cultural and economic domestication

    THE INVESTIGATION OF THE INTERNET ADDICTION LEVELS OF UNIVERSITY STUDENTS IN TERMS OF SOME DEMOGRAPHIC VARIABLES AND SELF-ESTEEM

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    The aim of this research is to examine the internet addiction levels of university students in terms of gender, daily time spent online, the frequency of daily internet use and self-esteem. A total of 169 volunteer university students, 127 (75.1%) and 42 (24.9%) men, participated in this study. The data were collected with "Personal Information Form", "Young’s Internet Addiction Test-Short Form" and "Two Dimensional Self-Esteem Scale". Independent samples t-test, ANOVA, Pearson Product-Moment correlation analysis and simple linear regression analysis techniques were used in data analysis. In the research findings, it has been revealed that university students who use internet for 7 hours or more have higher total scores of the internet addiction than university students who use internet for 1-2 hours daily. In addition, the group with the highest internet addiction scores was found to be university students who use the internet continuously. Finally, the self-esteem was found to be significant predictor of the internet addiction. Article visualizations

    Temporal Logics on Words with Multiple Data Values

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    The paper proposes and studies temporal logics for attributed words, that is, data words with a (finite) set of (attribute,value)-pairs at each position. It considers a basic logic which is a semantical fragment of the logic LTLdownarrow1LTL^downarrow_1 of Demri and Lazic with operators for navigation into the future and the past. By reduction to the emptiness problem for data automata it is shown that this basic logic is decidable. Whereas the basic logic only allows navigation to positions where a fixed data value occurs, extensions are studied that also allow navigation to positions with different data values. Besides some undecidable results it is shown that the extension by a certain UNTIL-operator with an inequality target condition remains decidable

    Non-price competition in credit card markets through bundling and bank level benefits

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    The attempts to explain the high and sticky credit card rates have given rise to a vast literature on credit card markets. This paper endeavors to explain the rates in the Turkish market using measures of non-price competition. In this market, issuers compete monopolistically by differentiating their credit card products. The fact that credit cards and all other banking services are perceived as a bundle by consumers allows banks to deploy also bank level characteristics to differentiate their credit cards. Thus, credit card rates are expected to be affected by the features and service quality of banks. Panel data estimations also control for various costs associated with credit card lending. The results show significant and robust effects of the non-price competition variables on credit card rates.Credit Cards, Monopolistic Competition, Product Differentiation, Bundling, Bank Pricing Behavior, Regulation

    The Failure of Price Competition In The Turkish Credit Card Market

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    The failure of competition and the consequent high and sticky interest rates in credit card markets have been the subject of a considerable amount of debate and research lately. This paper presents the first regression testing for the existence of price competition in a credit card market to be estimated free of dynamic panel bias using recent quarterly data from Turkey. The estimation reveals that even though the effect of the cost of funds on credit card rates is statistically significant, it is very weak. The paper thus provides empirical evidence for the failure of price competition in the Turkish credit card market.Credit Cards, Price Competition, System GMM, Banking

    Intimate partner violence (IPV) types are common among Turkish women from high socioeconomic status and have differing effects on child abuse and contentment with life

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    Objective: Intimate partner violence (IPV) against women is an important public health problem. In this study, we aimed to investigate the exposure of IPV types, child abuse and decrease in life contentment of married women from high socioeconomic status in Turkey. Methods: Data were collected using an online/written questionnaire and Contentment with Life Scale. The questionnaire included definitions of physical, emotional, economic and sexual IPV and asked how many times they experienced these types of abuse. Results: We found that physical, emotional, economic and sexual IPV exposure were 19%, 45.2%, 12.5%, and 6%, respectively, which suggest that IPV types were common in this group, too. Physical child abuse was higher among physical and emotional IPV victims (p=0004, p=0.02, respectively), while emotional child abuse was higher only among physical IPV victims (p=0.01). On the other hand, exposure to economic and sexual IPV was not related to any type of child abuse in this sample (p>0.05). Physical and economic IPV victims were statistically older (p=0.004, p<0.001, respectively), married for longer time (p<0.001 for both) and had relatively lower education level (p<0.001 for both), while sexual IPV victims had lower education level than non-victims (p=0.03). We demonstrated that physical-emotional and sexual intramarital IPV significantly reduce the women's contentment with life scores when compared with non-victims (p=0.02, p<0.001 and p=0.03, respectively). Conclusion: IPV exposure is also severe among married women with high socioeconomic levels and is associated with child abuse in the family and a decrease in life contentment. Lengthened education period among women with similar socioeconomic levels may be an additional protective factor for IPV by delaying the age of marriage and increasing the individual income

    Feasible Automata for Two-Variable Logic with Successor on Data Words

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    We introduce an automata model for data words, that is words that carry at each position a symbol from a finite alphabet and a value from an unbounded data domain. The model is (semantically) a restriction of data automata, introduced by Bojanczyk, et. al. in 2006, therefore it is called weak data automata. It is strictly less expressive than data automata and the expressive power is incomparable with register automata. The expressive power of weak data automata corresponds exactly to existential monadic second order logic with successor +1 and data value equality \sim, EMSO2(+1,\sim). It follows from previous work, David, et. al. in 2010, that the nonemptiness problem for weak data automata can be decided in 2-NEXPTIME. Furthermore, we study weak B\"uchi automata on data omega-strings. They can be characterized by the extension of EMSO2(+1,\sim) with existential quantifiers for infinite sets. Finally, the same complexity bound for its nonemptiness problem is established by a nondeterministic polynomial time reduction to the nonemptiness problem of weak data automata.Comment: 21 page
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