IT and learning in Higher Education

Educational institutions are under pressure to provide high quality education to large numbers of students very efficiently. The efficiency target combined with the large numbers generally militates against providing students with a great deal of personal or small group tutorial contact with academic staff. As a result of this, students often develop their learning criteria as a group activity, being guided by comparisons one with another rather than the formal assessments made of their submitted work. IT systems and the World Wide Web are increasingly employed to amplify the resources of academic departments although their emphasis tends to be with course administration rather than learning support. The ready availability of information on the World Wide Web and the ease with which is may be incorporated into essays can lead students to develop a limited view of learning as the process of finding, editing and linking information. This paper examines a module design strategy for tackling these issues, based on developments in modules where practical knowledge is a significant element of the learning objectives. Attempts to make effective use of IT support in these modules will be reviewed as a contribution to the development of an IT for learning strategy currently being undertaken in the author’s Institution.

Automatic indexing in information retrieval

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Editorial

The American Academy of Optometry (AAO) had their annual meeting in San Diego in December 2005 and the BCLA and CLAE were well represented there. The BCLA does have a reasonable number of non-UK based members and hopefully in the future will attract more. This will certainly be beneficial to the society as a whole and may draw more delegates to the BCLA annual conference. To increase awareness of the BCLA at the AAO a special evening seminar was arranged where BCLA president Dr. James Wolffsohn gave his presidential address. Dr. Wolffsohn has given the presidential address in the UK, Ireland, Hong Kong and Japan – making it the most travelled presidential address for the BCLA to date. Aside from the BCLA activity at the AAO there were numerous lectures of interest to all, truly a “something for everyone” meeting. All the sessions were multi-track (often up to 10 things occurring at the same time) and the biggest dilemma was often deciding what to attend and more importantly what you will miss! Nearly 200 new AAO Fellows were inducted at the Gala Dinner from many countries including 3 new fellows from the UK (this year they all just happened to be from Aston University!). It is certainly one of the highlights of the AAO to see fellows from different schools of training from around the world fulfilling the same criteria and being duly rewarded for their commitment to the profession. BCLA members will be aware that 2006 sees the introduction of the new fellowship scheme of the BCLA and by the time you read this the first set of fellowship examinations will have taken place. For more details of the FBCLA scheme see the BCLA web site http://www.bcla.org.uk. Since many of CLAE's editorial panel were at the AAO an informal meeting and dinner was arranged for them where ideas were exchanged about the future of the journal. It is envisaged that the panel will meet twice a year – the next meeting will be at the BCLA conference. The biggest excitement by far was the fact that CLAE is now Medline/PubMed indexed. You may ask why is this significant to CLAE? PubMed is the free web-based service from the US National Library of Medicine. It holds over 15 million biomedical citations and abstracts from the Medline database. Medline is the largest component of PubMed and covers over 4800 journals published in more than 70 countries. The impact of this is that CLAE is starting to attract more submissions as researchers and authors are not worried that their work will not be hidden from other colleagues in the field but rather the work is available to view on the World Wide Web. CLAE is one of a very small number of contact lens journals that is indexed this way. Amongst the other CL journals listed you will note that the International Contact Lens Clinic has now merged with CLAE and the journal CLAO has been renamed Eye and Contact Lenses – making the list of indexed CL journals even smaller than it appears. The on-line submission and reviewing system introduced in 2005 has also made it easier for authors to submit their work and easier for reviewers to check the content. This ease of use has lead to quicker times from submission to publication. Looking back at the articles published in CLAE in 2005 reveals some interesting facts. The majority of the material still tends to be from UK groups related to the field of Optometry, although we hope that in the future we will attract more work from non-UK groups and also from non-Optometric areas such as refractive surgery or anterior eye pathology. Interestingly in 2005 the most downloaded article from CLAE was “Wavefront technology: Past, present and future” by Professor W. Neil Charman, who was also the recipient of the Charles F. Prentice award at the AAO – one of the highest awards honours that the AAO can bestow. Professor Charman was also the keynote speaker at the BCLA's first Pioneer's Day meeting in 2004. In 2006, readers of CLAE will notice more changes, firstly we are moving to 5 issues per year. It is hoped that in the future, depending on increased submissions, a move to 6 issues may be feasible. Secondly, CLAE will aim to have one article per issue that carries CL CET points. You will see in this issue there is an article from Professor Mark Wilcox (who was a keynote speaker at the BCLA conference in 2005). In future articles that carry CET points will be either reviews from BCLA conference keynote speakers, members of the editorial panel or material from other invited persons that will be of interest to the readership of CLAE. Finally, in 2006, you will notice a change to the Editorial Panel, some of the distinguished panel felt that it was good time to step down and new members have been invited to join the remaining panel. The panel represent some of the most eminent names in the fields of contact lenses and/or anterior eye and have varying backgrounds and interests from many of the prominent institutions around the world. One of the tasks that the Editorial Panel undertake is to seek out possible submissions to the journal, either from conferences they attend (posters and papers that they will see and hear) and from their own research teams. However, on behalf of CLAE I would like to extend that invitation to seek original articles to all readers – if you hear a talk and think it could make a suitable publication to CLAE please ask the presenters to submit the work via the on-line submission system. If you found the work interesting then the chances are so will others. CLAE invites submissions that are original research, full length articles, short case reports, full review articles, technical reports and letters to the editor. The on-line submission web page is http://www.ees.elsevier.com/clae/.

Representing clinical documents to support automatic retrieval of evidence from the Cochrane Library

The overall aim of our research is to develop a clinical information retrieval system that retrieves systematic reviews and underlying clinical studies from the Cochrane Library to support physician decision making. We believe that in order to accomplish this goal we need to develop a mechanism for effectively representing documents that will be retrieved by the application. Therefore, as a first step in developing the retrieval application we have developed a methodology that semi-automatically generates high quality indices and applies them as descriptors to documents from The Cochrane Library. In this paper we present a description and implementation of the automatic indexing methodology and an evaluation that demonstrates that enhanced document representation results in the retrieval of relevant documents for clinical queries. We argue that the evaluation of information retrieval applications should also include an evaluation of the quality of the representation of documents that may be retrieved. ©2010 IEEE.

Quantitative online prediction of peptide binding to the major histocompatibility complex

With its implications for vaccine discovery, the accurate prediction of T cell epitopes is one of the key aspirations of computational vaccinology. We have developed a robust multivariate statistical method, based on partial least squares, for the quantitative prediction of peptide binding to major histocompatibility complexes (MHC), the principal checkpoint on the antigen presentation pathway. As a service to the immunobiology community, we have made a Perl implementation of the method available via a World Wide Web server. We call this server MHCPred. Access to the server is freely available from the URL: http://www.jenner.ac.uk/MHCPred. We have exemplified our method with a model for peptides binding to the common human MHC molecule HLA-B*3501.

MHCPred : a server for quantitative prediction of peptide-MHC binding

Accurate T-cell epitope prediction is a principal objective of computational vaccinology. As a service to the immunology and vaccinology communities at large, we have implemented, as a server on the World Wide Web, a partial least squares-base multivariate statistical approach to the quantitative prediction of peptide binding to major histocom-patibility complexes (MHC), the key checkpoint on the antigen presentation pathway within adaptive,cellular immunity. MHCPred implements robust statistical models for both Class I alleles (HLA-A*0101, HLA-A*0201, HLA-A*0202, HLA-A*0203,HLA-A*0206, HLA-A*0301, HLA-A*1101, HLA-A*3301, HLA-A*6801, HLA-A*6802 and HLA-B*3501) and Class II alleles (HLA-DRB*0401, HLA-DRB*0401and HLA-DRB* 0701).

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Social media influence analysis, sometimes also called authority detection, aims to rank users based on their influence scores in social media. Existing approaches of social influence analysis usually focus on how to develop effective algorithms to quantize users’ influence scores. They rarely consider a person’s expertise levels which are arguably important to influence measures. In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand social media influence by incorporating expertise into influence analysis. We carefully constructed a large dataset of 13,684 Chinese celebrities from Sina Weibo (literally ”Sina microblogging”). We found that there is a strong correlation between expertise levels and social media influence scores. Our analysis gave a good explanation of the phenomenon of “top across-domain influencers”. In addition, different expertise levels showed influence variation patterns: e.g., (1) high-expertise celebrities have stronger influence on the “audience” in their expertise domains; (2) expertise seems to be more important than relevance and participation for social media influence; (3) the audiences of top expertise celebrities are more likely to forward tweets on topics outside the expertise domains from high-expertise celebrities.

Modelling question selection behaviour in online communities

Value of online Question Answering (QandA) communities is driven by the question-answering behaviour of its members. Finding the questions that members are willing to answer is therefore vital to the effcient operation of such communities. In this paper, we aim to identify the parameters that cor- relate with such behaviours. We train different models and construct effective predictions using various user, question and thread feature sets. We show that answering behaviour can be predicted with a high level of success.

Quantising contribution effort in online communities

We describe the Joint Effort-Topic (JET) model and the Author Joint Effort-Topic (aJET) model that estimate the effort required for users to contribute on different topics. We propose to learn word-level effort taking into account term preference over time and use it to set the priors of our models. Since there is no gold standard which can be easily built, we evaluate them by measuring their abilities to validate expected behaviours such as correlations between user contributions and the associated effort.