<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Thomas  J.J. McCloughlin</style></author><author><style face="normal" font="default" size="100%">Philip  S.C. Matthews</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">REPERTORY GRID ANALYSIS AND CONCEPT MAPPING: PROBLEMS AND ISSUES</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Education in the 21st Century</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">concept mapping</style></keyword><keyword><style  face="normal" font="default" size="100%">conceptual frameworks</style></keyword><keyword><style  face="normal" font="default" size="100%">repertory grid analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">November/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2014/457-1415392540.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">48</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">'Repertory grid analysis' was used as a way of constructing representations of learners conceptions of living things; and finding a common structure or understanding; this was described in previous work. 'Concept mapping' has been stated as an appropriate assessment procedure in science curricula in a number of countries. Previous relevant published work describing the benefits of 'concept mapping' as a learning, teaching, and assessing tool is large. However, the existence of a large literature is not justification in itself, and in this work we provide a critique of the current literature. Problems with 'concept mapping' are simply ignored. However, it is thought that 'repertory grid analysis' does overcome some of the recognized problems of 'concept mapping' such as: i) comparison of concept maps between students or between students and educators: in repertory grid this becomes not only possible but a reliable method - this has proven to be one of the more problematic areas in traditional 'concept mapping'; ii) quantification of concept mapping - integer scoring of whole concept maps in 'repertory grid analysis' is eliminated since the arranged structure of the graph produced holds significance for the conceptual structure. More research needs to be done in repertory grid analysis and its implications and applications in curricular research have yet to be fully explored.</style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">91-106</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Thomas  J.J. McCloughlin</style></author><author><style face="normal" font="default" size="100%">Philip  S.C. Matthews</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">COMPARING LEARNERS’ CONSTRUCTS USING “SOCIO-NETS”: AN APPLICATION OF REPERTORY GRID ANALYSIS</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Education in the 21st Century</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">repertory grid analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">socionets</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">November/2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://journals.indexcopernicus.com/abstract.php?icid=924385</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">25</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Repertory grid analysis was employed as a means of constructing representations of learners conceptions of living things (described in previous work). Experts in biology and secondary school science learners were probed for their representations of living things. Clearly, a theory is at work in the mind of the experts. The question now is: how many of the students share this theory? A record of commonality is required, and for that a social network framework is necessary. Therefore, representations were compared using the SOCIO program which measures the similarity between individuals and a visual network produced for the groups studied. This work is part of an overall project examining the learners’ innate ability to classify and categorize living things. Classification and categorization are neglected in science curricula which has implications with respect to the renewed emphasis in education on learning about biodiversity. It was found that whereas there is a commonality with respect to learners’ conceptions, the commonality is measurable and that learners often operate within a ‘pre-scientific’ or folk-biological mode, experts operate within a highly formalized mode based on their training, and that notwithstanding such a difference in modes, there remains a degree of commonality between learners and experts.</style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">87-98</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Thomas  J.J. McCloughlin</style></author><author><style face="normal" font="default" size="100%">Philip  S.C. Matthews</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EXAMINING THE STRUCTURES OF STUDENTS’ CONCEPTS USING REPERTORY GRID ANALYSIS</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Education in the 21st Century </style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">repertory grid analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">thoughts</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2014/457-1399916153.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">18</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This work attempts to explore the methodological legacy of George Kelly – repertory grid analysis – as an aid to visually mapping the structures of students’ concepts. Although, Kelly formulated a complex Euclidian framework of psychological laws, axioms, and corollaries, we have concentrated on the methods that later workers took from Kelly’s original ‘RepGrid Test’. The central entity is a self-constructed concept, or set thereof, that may be represented in a matrix. As a matrix of integers can be manipulated by a large variety of statistical protocols, we explore in three studies how such matrices may be derived in relation to students` concepts of living kinds, and then how they may be analysed. Typcially, we use principal components analysis – a model-free form of factor analysis. The resultant loadings derived from these analyses are plotted on Cartesian planes from which additional information about the structure of the students’ conceptualizations may be derived.</style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">102-114</style></section></record></records></xml>