Complexities of Technology Integration in the Elementary Classroom Context: A Structural Equation Model Study

Effectively integrating technology into classroom instruction presents teachers with several dilemmas about their understanding of how students learn, their approach to designing learning activities, and their conceptualization of their role as teachers (Windschitl, 2002). Using the Technological Pedagogical Content Knowledge (TPACK) model (Koehler & Mishra, 2005, 2009; Mishra & Koehler, 2006) as the conceptual model undergirding the research, this study was designed to build evidence towards establishing the validity and reliability of a measurement instrument employed to assess the technological, pedagogical, and content knowledge teachers utilize, as well as gain an understanding of how this knowledge is affected by teacher beliefs about technology use in classroom practice. Three contextual factors were also investigated, namely leadership support for technology, teaching self-efficacy, and traditional beliefs about children. Structural equation modeling (SEM) was selected for analyzing data gathered in this research design. The relationships among four latent factors and three latent variables were examined using measurement models to determine a final structural model. Results (N = 75) suggest that the TPACK-deep scale has potential as a measure of teachers’ beliefs about their technological, pedagogical, and content knowledge. The findings yielded by the present exploratory study pertain to Design, Exertion, Ethics, and Proficiency—which are considered the four factors of the TPACK-deep scale (Kabakci-Yurdakul et al., 2012). Furthermore, this study’s findings indicate positive predictive relationships between leadership support for technology and teachers’ beliefs about using technology in their classrooms. While positive predictive relationships between teachers’ teaching self-efficacy and their beliefs about technology integration in classroom practice were found, no statistically significant association between teachers’ beliefs about using technology and their traditional beliefs about children could be established for three (Design, Exertion, Ethics) of the four TPACK-deep factors under investigation

Growth and characterizations of nanostructured tungsten oxides

Tungsten oxide (WO3) as nanostructured thin film is an attractive compound to be used for sensors applications. We report on WO3 nanostructured thin films deposited by radio-frequency plasma assisted laser ablation technique. A tungsten oxide ceramic target was irradiated at 193 nm wavelength; the depositions have been carried out in a gas mixture of oxygen and argon on heated substrates (corning glass and silicon) up to 600°C. The gas pressure varied between 1 Pa and 10 Pa. The influence of the substrate temperature, gas pressure and RF power on properties of the obtained nanostructures was investigated by Atomic Force Microscopy, Raman spectroscopy, Secondary Ion Mass Spectrometry and spectro-ellipsometry

Analisis Penggunaan Filter Pada Sistem Pengenalan Plat Nomor Menggunakan Phase Only Correlation

In parking area of a building or shopping, always found the park entrance are record plate numbers of vehicles on the ticket that function as entry ticket number and the identity of the owners of vehicles that will be examined during the match out of parking area. Currently, digital image processing technology is growing along with the progress of technology. With technology, it is expected of a system of vehicle number plate recorded automatically, so that people just only to capturing the image of plate. The process to record is taking the letters or numbers that are on the plate number, then do image process filter to each character and then used Phase Only Correlation�s method. This method is correlating of two images with the spatial image domain into the frequency domain to obtained a phase�s value. To change the image from spatial domain into the frequency domain algorithm is used 2D-Fourier Transform Discrette. Algorithm is expressed as a spatial image magnitude and phase. Magnitude is expressed how many frequency components in the image. While the phase is expressed where position frequency of the image. After the phase is obtained, then created an array index value is converted into the letters or numbers. After score matching or maximum value of the results is obtained from POC�s method, the matching score which has the highest score will be recognized by the system as the most similar image. The results of this final project is a system can recognize a vehicle number plate with the output is form of text characters from a number or letter plate of vehicles that are detected. Key Word : Image Processing, Phase-Only Correlation (POC), 2D-Discrette Fourier Transform, filtering image

Population assessment without individual identification using camera-traps: a comparison of four methods

The use of camera traps to estimate population size when animals are not individually recognizable is gaining traction in the ecological literature, because of its applicability in population conservation and management. We estimated population size of synthetic animals with four camera trap sampling-based statistical models that do not rely on individual recognition. Using a realistic model of animal movement to generate synthetic data, we compared the random encounter model, the random encounter and staying time model, the association model and the time-to-event-model and we investigated the impact of violation of assumptions on the population size estimates. While under ideal conditions these models provide reliable population estimates, when synthetic animal movements were characterised by differences in speed (due to diverse behaviours such as locomotion, grazing and resting) none of the model provided both unbiased and precise density estimates. The random encounter model and the time-to-event-model provided pre- cise results but tended to overestimate population size, while the random encounter and staying time model was less precise and tended to underestimate population size. Lastly, the association model was unable to provide precise results. We found that each tested model was very sensitive to the method used to estimate the range of the field-of-view of camera traps. Density esti- mates from both random encounter model and time-to-event-model were also very sensitive to biases in the estimate of ani- mals’ speed. We provide guidelines on how to use these statistical models to get population size estimates that could be useful to wildlife managers and practitioners

Realization and characterization of graphitic contacts on diamond by means of laser

This work deals with the realization and characterization of integrated graphitic contacts on diamond by means of laser irradiation (graphitization), in order to obtain good quality ohmic electrodes for nuclear radiation detectors to be used in high energy physics experiments. Unlike the conventional method used for the electrode production, which requires numerous steps and very well controlled environmental conditions, this alternative technique presents many advantages: the contacts are realized in air at room temperature in a single step. In this study, the characteristics of several graphitic structures realized on a diamond surface by changing the radiation-matter interaction parameters have been evaluated in order to define the best experimental conditions to create graphitic electrodes with low resistivity. The obtained results are promising: contacts perfectly adherent, with good charge collection properties, stable and resistant to ionizing radiation

Preservation of biomaterials and cells by freeze-drying : Change of paradigm

Freeze-drying is the most widespread method to preserve protein drugs and vaccines in a dry form facilitating their storage and transportation without the laborious and expensive cold chain. Extending this method for the preservation of natural biomaterials and cells in a dry form would provide similar benefits, but most results in the domain are still below expectations. In this review, rather than consider freeze-drying as a traditional black box we "break it" through a detailed process thinking approach. We discuss freeze-drying from process thinking aspects, introduce the chemical, physical, and mechanical environments important in this process, and present advanced biophotonic process analytical technology. In the end, we review the state of the art in the freezedrying of the biomaterials, extracellular vesicles, and cells. We suggest that the rational design of the experiment and implementation of advanced biophotonic tools are required to successfully preserve the natural biomaterials and cells by freeze-drying. We discuss this change of paradigm with existing literature and elaborate on our perspective based on our new unpublished results.Peer reviewe

Diamond detectors with electrodes graphitized by means of laser

In the last years there has been an increase of interest in diamond devices because of the promising applications in different field, such as high-energy physics, radiotherapy and biochemical applications. In particular, a new frontier is represented by the realization of full-carbon detectors characterized by graphite electrodes, which give to the devices considerable advantages like high radiation hardness, perfect mechanical adhesion and good charge collection properties. In this paper the manufacturing of full-carbon devices and their detection performances are illustrated and compared to a reference diamond detector characterized by traditional electrodes

Food insecurity among Finnish private service sector workers : validity, prevalence and determinants

Objective: To examine the prevalence and determinants of food insecurity among private sector service workers in Finland and assess validity of the Household Food Insecurity Access Scale (HFIAS) tool. Design: In this cross-sectional study, food insecurity and background characteristics were collected from Finnish private service workers via electronic questionnaires (2019) and national register data (2018-2019). We conducted univariate and multivariate logistic regression analyses to determine the variables explaining food insecurity. Validity of HFIAS was assessed with rotated principal component analysis and Cronbach's alpha. Setting: Members of the trade union for private sector service workers, Service Union United (PAM), from all municipalities in Finland participated in the study in 2019. Participants: The subjects were 6435 private sector workers that were members of the Service Union United (PAM) in Finland. Mean age of participants was 44 years (sd 12 center dot 7 years). Results: Two-thirds of the participants (65 %) were food insecure with over a third (36 %) reporting severe food insecurity. Reporting great difficulties in covering household expenses and young age markedly increased the risk of severe food insecurity (OR 15 center dot 05; 95 % CI 10 center dot 60, 21 center dot 38 and OR 5 center dot 07; 95 % CI 3 center dot 94, 6 center dot 52, respectively). Not being married, low education, working in the hospitality industry, being male and living in rented housing also increased the probability of severe food insecurity. The HFIAS tool demonstrated acceptable construct and criterion validity. Conclusions: Severe food insecurity was widespread and associated with low socio-economic status, young age and being male among Finnish private sector service workers, emphasising the need for regular monitoring of food insecurity in Finland.Peer reviewe