1,721,007 research outputs found
The Pillars of MIT: Innovation, Radical Meritocracy, and Open Knowledge
No full textIn this dialogue, Hal Abelson the acclaimed professor, scientist and distinguished member of MIT CSAIL, and co-chair of the MIT Council on Educational Technology (MITCET), firstly discusses the potential of the digital revolution and Internet. He talks about the reasons that led him to initiate Creative Commons (Abelson was also involved with the start up of MIT OpenCourseWare, Public Knowledge, the Free Software Foundation, and the Center for Democracy and Technology). He then describes in detail the MIT model. On the one hand it is based on not making distinctions between teaching and research, and on the other it focuses on radical meritocracy, which gives rise to a culture of open exchange and openness. He moves on to explain details of the philosophy behind the prestigious MIT Course 6, which uses semiconductors to bring together the physical side of electrical engineering and the logic side of IT, thereby generating a range of innovative interactions. He finally talks about the foundations of leadership which MIT have laid and continue to maintain in education and innovation.</p
Factors Affecting the Adoption of Faculty-Developed Academic Software: A Study of Five iCampus Projects
No full textInitiated in 1999, iCampus is a research collaboration between Microsoft Research and MIT whose goal is to create and demonstrate technologies with the potential for revolutionary change throughout the university curriculum. The program was made possible by a $25 million research grant from Microsoft to MIT, and involves extensive collaboration between MIT and Microsoft staff.This assessment study by the TLT Group addresses the question: The TLT Group has been asked, In light of the experience of iCampus, especially those projects selected by MIT and Microsoft for close study, what can be learned about priorities for educational technology initiatives in the future and about how the spread of such innovations can be more effectively supported?The major conclusions are that the five projects studied improved important elements of an MIT education by making learning more authentic, active, collaborative, and feedback-rich. Nevertheless, wider adoption beyond MIT was extremely difficult to achieve, largely due to structure issues in universities that make it difficult for educational technology to spread beyond the initial innovators, even to other departments within the same institution. The report includes recommendations for universities, external sponsors, and for MIT in particular, about steps to take to achieve more effective dissemination
Amorphous Computing
Full text linkThe goal of amorphous computing is to identify organizationalprinciples and create programming technologies for obtainingintentional, pre-specified behavior from the cooperation of myriadunreliable parts that are arranged in unknown, irregular, andtime-varying ways. The heightened relevance of amorphous computingtoday stems from the emergence of new technologies that could serve assubstrates for information processing systems of immense power atunprecedentedly low cost, if only we could master the challenge ofprogramming them. This document is a review of amorphous computing
The Creation of OpenCourseWare at MIT
Full text linkThis paper traces the genesis of the MIT OpenCourseWare project from its initial strategic precursors in 1999 and 2000, through its launch in 2001 and its subsequent evolution. The story told here illuminates the interplay among institutional leadership, and strategic planning, and with university culture in launching major educational technology enterprises. It also shows how initiatives can evolve in unexpected ways, and can even surpass their initial goals. The paper concludes with an overview of challenges facing OpenCourseWare in moving from the end of its production ramp-up and towards sustainability
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Gasping for AIR Why we need Linked Rules and Justifications on the Semantic Web
No full textThe Semantic Web is a distributed model for publishing, utilizing and extending structured information using Web protocols. One of the main goals of this technology is to automate the retrieval and integration of data and to enable the inference of interesting results. This automation requires logics and rule languages that make inferences, choose courses of action, and answer questions. The openness of the Web, however, leads to several issues including the handling of inconsistencies, integration of diverse information, and the determination of the quality and trustworthiness of the data. AIR is a Semantic Web-based rule language that provides this functionality while focusing on generating and tracking explanations for its inferences and actions as well as conforming to Linked Data principles. AIR supports Linked Rules, which allow rules to be combined, re-used and extended in a manner similar to Linked Data. Additionally, AIR explanations themselves are Semantic Web data so they can be used for further reasoning. In this paper we present an overview of AIR, discuss its potential as a Web rule language by providing examples of how its features can be leveraged for different inference requirements, and describe how justifications are represented and generated.This material is based upon work supported by the National Science Foundation under Award No. CNS-0831442, by the Air Force Office of Scientific Research under Award No. FA9550-09-1-0152, and by Intelligence Advanced Research Projects Activity under Award No. FA8750-07-2-0031
Variations on the Author
Full text link“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
Full text linkWe 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
Full text linkWe 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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