1,720,967 research outputs found
Integration of Mobile Learning in Rifdarmon Model to Improve Student Learning Outcomes
Get PDFMobile learning utilizes mobile technology, such as smartphones, tablets, and other mobile devices, to facilitate a flexible and collaborative learning process. This research aims to implement the integration of mobile learning into the Rifdarmon model in the learning process and evaluate the effectiveness of mobile learning integration into the Rifdarmon model in improving student learning outcomes in the Sensors and Transducers course. This research uses a quantitative approach with an experimental method. The subjects in this study are active students in the Automotive Engineering Department of Padang State University taking the Sensors and Transducers course. The sampling technique used is cluster random sampling, where the researcher randomly selects two classes, the control and experimental classes. Then all students in the selected clusters become the sample. The data in this study were collected based on the pre-test and post-test scores obtained by students in the Sensors and Transducers course. Based on the results and discussion, the implementation of mobile learning integration into the Rifdarmon model in the learning process was successfully carried out in this research. There was a significant increase in learning outcomes for students after following the learning process, both with the conventional learning model (control class) and mobile learning integration into the Rifdarmon model (experimental class)
Validating the Rifdarmon E-Learning Model with Structural Equation Modeling Analysis for Enhanced Learning Outcomes and Students’ 4C Skills
No full textThe rapid development of information and communication technology (ICT) has significantly transformed the landscape of education, including in the context of vocational education. Universitas Negeri Padang (UNP), particularly the Department of Automotive Engineering, has made efforts to adapt the curriculum and learning methods to bridge the gap between education and industry demands. However, in its implementation, there are still challenges that need to be addressed, especially in the Automotive Electronics Electricity course. This study aims to validate the Rifdarmon E-Learning Model in the Automotive Electronics Electricity course through SEM-PLS and CB-SEM analysis using SmartPLS 4. The research employed a quantitative approach using two analysis methods: Structural Equation Modeling-Partial Least Square (SEM-PLS) and Covariance-Based Structural Equation Modeling (CB-SEM). Data were collected from 50 validators comprising experts in educational technology, learning models, and learning media using a 5-point Likert scale questionnaire. The model validation focused on four key syntaxes: Reciprocal Teaching (RT), Mentoring Peers (MP), Organizing Findings (OF), and Narrating Outcomes (NO). The SEM-PLS analysis demonstrated strong construct validity with satisfactory Composite Reliability (CR), Cronbach's Alpha, and Average Variance Extracted (AVE) values across all syntaxes. The CB-SEM analysis further confirmed the model's structural validity with positive outer loading values and good model fit indices. These comprehensive validation results indicate that the Rifdarmon E-Learning Model is both valid and reliable, making it suitable for implementation to enhance learning outcomes and develop students' 4C skills in Automotive Electronics Electricity education
Digital Technology Innovation in TVET: Rifdarmon-Based E-Learning Model Enhancing Learning Outcomes and 4C Skills
Get PDFAutomotive Electrical Electronics courses require effective learning models that can develop both technical knowledge and 21st-century skills. E-learning approaches offer potential solutions to enhance educational outcomes in this field. This study examined the effectiveness of the Rifdarmon-Based E-Learning Model in improving learning outcomes and 4C skills (creativity, critical thinking, collaboration, and communication) in an Automotive Electrical Electronics course at Universitas Negeri Padang\u27s Automotive Engineering Department. The research employed an experimental design comparing an experimental group using the Rifdarmon-Based E-Learning Model with a control group using conventional learning methods. Pre-tests and post-tests were conducted to measure learning outcomes, while specialized assessments evaluated 4C skills development. The experimental group showed significant improvements in learning outcomes, with pre-test scores increasing from 69.1 to 87.2 in post-test, compared to the control group\u27s increase from 64.9 to 84.4. The 4C skills assessment revealed higher scores in the experimental group (86.6) versus the control group (74.95). Statistical analyses confirmed the model\u27s effectiveness with a large effect size (point estimate -2.511) and significant multivariate test results (F=29.356, p<0.001). The Rifdarmon-Based E-Learning Model proved effective in enhancing both learning outcomes and 4C skills development in Automotive Electrical Electronics education. The integration of e-learning with the Rifdarmon model demonstrated significant improvements in students\u27 academic performance and complex skill development compared to conventional learning methods
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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