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Krisztian Jozsa George A. Morgan 《European Journal of Psychology of Education - EJPE》2014,29(3):521-535
This study describes changes in cognitive persistence, a key measure of mastery motivation, between the ages of 10 (grade 4) and 14 (grade 8). Prior research in the field of mastery motivation has focused mainly on early childhood. No longitudinal research findings have been published about age changes in mastery motivation during the school years. The sample of this longitudinal study consisted of 372 students in Hungary and was representative of the Hungarian school population regarding parents’ level of education. Participants were in 25 school classes, each from a different town. The instrument was the cognitive persistence scale of the Hungarian version of the Dimensions of Mastery Questionnaire (DMQ). Grade point average (GPA), parents’ level of education, the size of the class and of the town were analyzed as background variables. Cognitive persistence based on students’ self-reports decreased substantially in 61 % of the students, did not change in 33 %, and increased in only 6 % over the four school years. Changes in cognitive persistence correlated with changes in GPA. Significant differences were found among school classes in both the average level of cognitive persistence and in how much it changed. However, neither cognitive persistence nor changes in cognitive persistence correlated with parents’ level of education or town size. Aspects of the school and classroom climate seem to substantially impact changes in students’ cognitive persistence. In addition, this study considered educational applications and for further research. 相似文献
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Linda Farrah Balog 《Research quarterly for exercise and sport》2013,84(2):119-125
Abstract This investigation examined the effects of physical exercise on muscle tension and subsequent muscle relaxation training. Twenty college students participated in the first phase of the study, which included a 10-minute EMG baseline, 30 minutes of pedalling on a bicycle ergometer, followed by EMG measurements on the frontalis muscle for up to 3 hours after the end of exercise. The same subjects from Phase I went on to Phase II, which included eight 32-minute EMG biofeedback training (BFT) sessions, utilizing the frontalis muscle. Ten subjects randomly assigned to the experimental group received BFT following an acute exercise bout, while the 10 subjects in the control group received no treatment. The greatest decrease in muscle tension in Phase I occurred 90 minutes after the end of the exercise. This finding was not significantly different from the baseline, indicating that there was no relaxation effect as a result of exercise. In Phase II, significant differences between pre and post-test measurements in both groups indicated that learning of relaxation did occur. However, no significant differences were found between the two groups, indicating that physical exercise did not enhance the learning of EMG BFT. 相似文献
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Costin Pribeanu Alexandru Balog Dragoş Daniel Iordache 《Interactive Learning Environments》2017,25(4):482-495
Augmented reality (AR) technologies could enhance learning in several ways. The quality of an AR-based educational platform is a combination of key features that manifests in usability, usefulness, and enjoyment for the learner. In this paper, we present a multidimensional model to measure the quality of an AR-based application as perceived by students. The model is specified by a second-order factor (perceived quality) and three dimensions: ergonomic quality, learning quality, and hedonic quality. The purpose of this model is to embody previous research into a coherent framework for the evaluation of AR-based educational platforms and to provide guidance for researchers and practitioners. The model was empirically validated on a Chemistry learning scenario and the results confirm the importance of both the learning and hedonic quality. 相似文献
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Statistical language models have been successfully applied to many information retrieval tasks, including expert finding: the process of identifying experts given a particular topic. In this paper, we introduce and detail language modeling approaches that integrate the representation, association and search of experts using various textual data sources into a generative probabilistic framework. This provides a simple, intuitive, and extensible theoretical framework to underpin research into expertise search. To demonstrate the flexibility of the framework, two search strategies to find experts are modeled that incorporate different types of evidence extracted from the data, before being extended to also incorporate co-occurrence information. The models proposed are evaluated in the context of enterprise search systems within an intranet environment, where it is reasonable to assume that the list of experts is known, and that data to be mined is publicly accessible. Our experiments show that excellent performance can be achieved by using these models in such environments, and that this theoretical and empirical work paves the way for future principled extensions. 相似文献
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Indirect reference intervals for haematological parameters in capillary blood of pre-school children
Aleksandra Zeljkovic Zsfia Csuzdi Balog Eva Dukai Jelena Vekic Zorana Jelic-Ivanovic Vesna Spasojevic-Kalimanovska 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2021,31(1)
IntroductionIndirect estimation of reference intervals (RIs) is straightforward and inexpensive procedure for determination of intra-laboratory RIs. We applied the indirect approach to assess RIs for haematological parameters in capillary blood of pre-school children, using results stored in our laboratory database.Materials and methodsWe extracted data from laboratory information system, for the results obtained by automatic haematology analyser in capillary blood of 154 boys and 146 girls during pre-school medical examination. Data distribution was tested, and logarithmic transformation was applied if needed. Reference intervals were calculated by the nonparametric percentile method.ResultsReference intervals were calculated for: RBC count (4.2-5.4 x1012/L), haemoglobin (114-146 g/L), MCH (25.0-29.4 pg), MCHC (321-368 g/L), RDW-SD (36.1-43.5 fL), WBC count (4.5-12.3 x109/L), neutrophils count (1.7-6.9 x109/L) and percentage (29.0-69.0%), lymphocytes count (1.6-4.4 x109/L) and percentage (21.9-60.7%), PLT (165-459 x109/L), MPV (8.1-11.4 fL) and PDW (9.2-14.4%). Gender specific RIs were calculated for monocytes count (male (M): 0.2-1.6 x109/L; female (F): 0.1-1.4 x109/L) and percentage (M: 2.5-18.3%; F: 1.8-16.7%), haematocrit (M: 0.34-0.42 L/L; F: 0.34-0.43 L/L), MCV (M: 73.4-84.6 fL; F: 75.5-84.2 fL) and RDW (M: 12.1-14.3%; F: 11.7-13.9%), due to observed gender differences in these parameters (P = 0.031, 0.028, 0.020, 0.012 and 0.001; respectively). Estimated RIs markedly varied from the literature based RIs that are used in the laboratory.ConclusionsIndirect method employed in this study enables straightforward assessment of RIs in pre-school children. Herein derived RIs differed from the literature-based ones, indicating the need for intra-laboratory determination of RIs for specific populations and sample types. 相似文献
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User generated content forms an important domain for mining knowledge. In this paper, we address the task of blog feed search:
to find blogs that are principally devoted to a given topic, as opposed to blogs that merely happen to mention the topic in
passing. The large number of blogs makes the blogosphere a challenging domain, both in terms of effectiveness and of storage
and retrieval efficiency. We examine the effectiveness of an approach to blog feed search that is based on individual posts
as indexing units (instead of full blogs). Working in the setting of a probabilistic language modeling approach to information
retrieval, we model the blog feed search task by aggregating over a blogger’s posts to collect evidence of relevance to the
topic and persistence of interest in the topic. This approach achieves state-of-the-art performance in terms of effectiveness.
We then introduce a two-stage model where a pre-selection of candidate blogs is followed by a ranking step. The model integrates
aggressive pruning techniques as well as very lean representations of the contents of blog posts, resulting in substantial
gains in efficiency while maintaining effectiveness at a very competitive level. 相似文献
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