1,720,956 research outputs found

    The conventional versus a constructionist Scratch programming and first-year students' achievements in higher education classes: experimental data.

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    Globally, learning or teaching the first programming (popularly called CS1) remains a significant educational challenge. Indicators such as CS1 students' engagement, failure and attrition rates, and lack of diversity, continue to show the need for innovating the learning or teaching of novice computer science students. To ease initiating novices to programming, Scratch, a visual programming language, has become a staple of K-12 CS1 classes. As outcomes of a research project aiming to explore a constructionist Scratch pedagogy with novice CS students in higher education, we present these datasets. In the research lasting two successive academic sessions, we conducted two quasi-experimental studies involving four intact CS1 classes in selected public polytechnic in the north central Nigeria. In each study, we randomly assigned the classes to the experimental and control groups, constituting the constructionist Scratch and the conventional CS1 classes, respectively. Instruments for collecting data include a student profile questionnaire, a pretest, and posttest. Sequel to ethical clearance and permission from the selected schools, we conducted each study during the first semester of each academic session, in the first seven to eight weeks. During the first to second week, we administered students who consented to take part with the questionnaire and the pretest. Learning or teaching in the two classes lasted six weeks. Then both classes took the posttest. An independent CS educator who is not part of this research marked all the achievement tests, following a rubric prepared by the first author. To strengthen the research design and the possibility of arriving at valid causal evidence, we employed a Coarsened Exact Matching (CEM) algorithm to generate matched samples of experimental and control data, which we used in the analysis. Data presented here includes the raw, unmatched and matched experimental datasets from both studies. A researcher can make use of the data: To explore if some background variables not addressed in the original research may moderate CS1 students' achievements. For instance, their prior achievements in mathematics, physics, or English. To uncover some interesting patterns using machine learning algorithms. To validate the outcome of the original experiment by using the unmatched, matched or newly generated matched samples. The authors welcome further research collaborations in using the data or the accompanying research instruments. Enable GingerCannot connect to Ginger Check your internet connection or reload the browserDisable in this text fieldRephraseRephrase current sentence4Edit in Ginger

    Impact of a Scratch Programming Intervention on Student Engagement in a Nigerian Polytechnic First-Year Class: Verdict From the Observers

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    An engaging, first programming class (CS1) often inspires students’ passion for computer science (CS). However, the evidence in the literature suggests that the average CS1 classes are anything but engaging for many students. The performance of CS compared to other science, technology, engineering, and mathematics (STEM) courses in international student engagement surveys seems to substantiate CS1 failure, attrition rates, and lack of diversity in most CS classes. Meanwhile, for its simplicity in introducing programming to beginners, primary and secondary schools use Scratch, an educational programming environment developed by the Massachusetts Institute of Technology, USA. For the same reason, higher institutions now include some forms of Scratch instruction in CS1. The question remains, to what extent is Scratch engaging, especially for students in higher education? This study addressed this gap by observing college computer science students exposed to a constructionist Scratch programming pedagogy. We adopted a descriptive design based on quantitative observations. To observe the class during a weekly 2-hour session, we employed five CS educators, one observer per week. Each observer, employing a 20-item observation protocol, rated the extent of affective, behavioral, and cognitive engagement of first-year CS students in a polytechnic in North Central Nigeria. Most of the students were learning to program for the first time. Analysis of the data showed a significant agreement in the ratings of the five observers for overall student engagement, although the impact was moderate. However, while agreement in their ratings for affective engagement was significant, with a large effect, there was no significant concordance in their ratings for behavioral engagement. Observers also significantly agreed in their ratings for cognitive engagement; however, the impact was moderate. These findings suggest that employing Scratch in higher education can be engaging and useful, especially for students with no prior programming experience. Enable GingerCannot connect to Ginger Check your internet connection or reload the browserDisable in this text fieldRephraseRephrase current sentence6Log in to edit with Ginger

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

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    We 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

    Author Index

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    The Impacts of a Constructionist Scratch Programming Pedagogy on Student Achievement with a Focus on Gender

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    Learning to program is a challenge for many novice computing students. This may be partially due to the inadequacy of many conventional pedagogical approaches resulting in dropouts and failure, especially among females and minoritized students. Consequently, more effective methods to increase success rates and effectively broaden participation are needed. We investigated the effectiveness of a constructionist programming pedagogy with college-level CS1 students, and how that effectiveness varies by gender. Our quasi-experimental design includes participants from CS1 classes at several polytechnics in Nigeria who were assigned to either experimental or control groups receiving six weeks of constructionist instruction using Scratch and a more conventional approach. Findings indicated that the constructionist cohorts had significantly higher mean post-test scores than the conventional classes. We observed no significant difference in post-test scores between genders. However, a significant gender difference was found in gain scores within one study where we also observed a significant relationship between gender and academic background. Overall, our approach demonstrated positive effects on the programming achievements of novice programming students, emphasizing the need to consider the role of contextual factors such as academic background and regional disparities across gender differences.Institute for Science and Technology Education (ISTE)Tertiary Education Trust Fund, UNISA MnD Gran

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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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