1,720,955 research outputs found
Increasing motivation and engagement in online : Programming education
No full textAccording to the OECD, programming is one of the essential skills in the 21st century. Following the recommendation, many Nordic countries have started to integrate programming education into their educational curricula as early as primary school. Despite that, many people still struggle to learn programming, which is indicated by, for instance, the low pass rate of introductory programming courses. Another problem is that only 17% of all students in the field of Information and Communication Technologies in the European Union are women. Such a low rate indicates that most women will not benefit from the growing demand for people with programming skills.Research shows that smaller classes with fewer than 30 students are the most effective environment to teach programming. Part of the reason is the personalized feedback and the possibility to more easily adapt the learning path towards the needs of a smaller group. However, larger classes are required to satisfy the growing demand, yet such a programming learning environment is less effective. To adapt the learning path towards the students, their attitudes, disposition, and motivation need to be considered — non-cognitive factors driving people’s behavior. The influence of these factors on learning success is well documented in other disciplines, but not well-researched in computing education yet. Additionally, addressing these factors in large classes and online contexts is also a challenge. Creating a learning platform that can adapt the learning path towards the individual student can help to address the non-cognitive factors. Adding a personalized conversational agent, also referred to as chatbot, carries a potential to increase the students’ motivation and engagement, consequentially affecting their learning behaviors. Therefore, such technologies can help to make larger classes, or online courses, more effective.The primary objective of this research is to explore, through the mixed-methods approach enabling the triangulation of data from qualitative and quantitative research, the relationship between motivation and engagement and their effects on learning programming. In particular, the aim is to assess how motivation and engagement can be strengthened by the personalization of the learning path and the usage of a conversational agent. Both components utilize the latest advances in large language models to improve the personalization and raise the quality of the conversation with the students. After conducting a comprehensive literature review of the field, a learning platform will be designed to allow personalization of the learning path of students. Next, a conversational agent will be integrated into it to provide the students with a personalized real -time tutor. During the conversations with the students, a sentiment analysis will be conducted to understand their emotions and experiences. Utilizing large language models, the conversational agent will be able to react to the students according to their needs. This way, the conversational agent will not only be able to provide meaningful feedback to the students, but also act humanely to build a strong relationship between the conversational agent and the students. As final step, the learning platform will be used in different courses and the effectiveness will be evaluated. These studies should also focus on the effect on underrepresented groups.The proposed approach can help to broaden computing literacy, help to decrease the gender gap in computing, and make programming education more inclusive for future generations.</p
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
Discussing the creativity of AUTOMATONE : an interactive music generator based on Conway’s Game of Life
No full textIn recent years, generative AI systems for music composition have transformed not only music generation but the field of computational creativity as a whole. In contrast to the black-boxes of deep learning techniques, classic algorithms offer a transparent alternative to music generation that does not require training data and, due to the autonomous process, such systems could be argued to reflect a more genuine creative process. One such algorithmic system is cellular automata. Designed as grids of binary nodes, cellular automata use mathematical rules to transition between different states that can be used to generate music. The initial state and the particular transition rules allow different patterns to emerge which can be translated into musical compositions. In this paper, we introduce AUTOMATONE, a semi-interactive music generator based on the cellular automaton Conway’s Game of Life. To ensure the quality of the music output, AUTOMATONE is based on pentatonic scales and uses four different state-transition systems to generate beats of different tempos.</p
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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