1,720,959 research outputs found
Taxing our Best Students
No full textA significant challenge that faces any teacher of introductory programming is the diversity of the class. At one extreme there will be students who have never programmed before, while at the other there will be students who have many years experience of programming. Handling this diversity is difficult. The temptation for the instructor is often to focus on the novice group and to assume that the others will get by with minimal supervision. This is understandable, but it can be risky. There is a very real risk that the neglected group of experienced programmers become bored and disengage from the course. At the worst, they can lose motivation and fail or drop out altogether. This paper describes and presents the outcomes of a project aimed at challenging the more experienced programmers in four introductory programming classes at four different UK institutions. The project took the form of a competition in which students were asked to devise and solve a series of programming challenges
The TOPS Project - Teaching our over performing students
No full textIt would be unlikely for any first year programming class to be solely composed of novices. We all have students with a range of abilities, and this generates challenges as to the best way in which to manage and teach the class. The students at the top need to be enthused whilst we provide extra help to the students at the bottom, and try not to demotivate the ones in the middle. This paper reports the outcome of a project aimed at enthusing the better programmers within the first year of a Computing degree programme. The activity and judging process have been designed to retain student motivation and to value the integration of professional and technical skills. Students and academics have evaluated the process. Student achievements have been enhanced and the approach is seen as a useful addition to existing teaching methods
TOPS – Collaboration and Competition to Stretch our Most Able Programming Novices
No full textFinding effective means of meeting students’ varied needs during introductory programming classes is a perpetual challenge. Maintaining motivation and a sufficient level of engagement across an undergraduate group with diverse prior experience is not a simple task. Claims for successful approaches include forms of differentiated teaching and paired programming. Competitions run by professional bodies and the software industry are often used to provide further external motivation. This paper presents the outcomes of a collaborative initiative across four universities which drew on aspects of both these approaches. Academics in the partner institutions had already implemented specific practice to accommodate the variety of student needs. The TOPS project was designed to involve and extend students through the processes of devising and competing in an inter-university challenge. Analysis of the outcomes has enabled the development of further understanding and good practice in this important area
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
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