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Jun Oshima Ritsuko Oshima Isao Murayama Shigenori Inagaki Makiko Takenaka Hayashi Nakayama 《International Journal of Science Education》2013,35(10):1199-1221
This paper reports design experiments on two Japanese elementary science lesson units in a sixth‐grade classroom supported by computer support for collaborative learning (CSCL) technology as a collaborative reflection tool. We took different approaches in the experiments depending on their instructional goals. In the unit ‘air and how things burn’, we designed the unit where groups of students engaged in building theories on ‘how a candle stops burning in a closed jar’. In the unit ‘characteristics of various solutions’, groups of students collaboratively constructed a pH scale as knowledge artefact. In both studies, the CSCL technology was implemented mainly for facilitating collaboration between groups. Results showed that: (1) students were more likely to engage in symmetric communication (i.e. between groups as well as within groups) in the second unit, and (2) they were also more idea‐centred and more frequently shared their ideas in the second unit. The results were discussed from the perspectives of the scientific practices students engaged in and task structure. 相似文献
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A new item parameter replication method is proposed for assessing the statistical significance of the noncompensatory differential item functioning (NCDIF) index associated with the differential functioning of items and tests framework. In this new method, a cutoff score for each item is determined by obtaining a (1 −α) percentile rank score from a frequency distribution of NCDIF values under the no-DIF condition by generating a large number of item parameters based on the item parameter estimates and their variance-covariance structures from a computer program such as BIILOG-MG3. This cutoff for each item can be used as the basis for determining whether a given NCDIF index is significantly different from zero. This new method has definite advantages over the current method and yields cutoff values that are tailored to a particular data set and a particular item. A Monte Carlo assessment of this new method is presented and discussed. 相似文献
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This paper introduces and evaluates four practical multidimensional linking procedures that are based on the theoretical framework recently proposed by Davey, Oshima, and Lee (1996): (a) the Direct method, (b) the Equated Function method, (c) the Test Characteristic Function (TCF) method, and (d) the Item Characteristic Function (ICF) method. The evaluation was conducted using simulated data. As anticipated, the competing procedures yielded different linking parameter estimates. The TCF and ICF methods were found to be more stable and recovered the true linking parameters better than the other two methods. Furthermore, all procedures were found to be acceptable under almost any of the minimization criteria and offered dramatic improvement over not linking at all. It is recommended that the choice of a linking procedure should depend on the purpose of linking. 相似文献
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Jun Oshima Ritsuko Oshima Shunsuke Saruwatari 《British journal of educational technology : journal of the Council for Educational Technology》2020,51(4):1308-1321
This study proposes a new methodological approach to evaluate students’ knowledge-building discourse. First, we discuss the knowledge–creation metaphor of learning. In the metaphor, theories mention that learners should consider their collective knowledge objects or artifacts that materialize as a result of their collaborative discourse. Second, we argue the necessity of developing new analytics to evaluate student learning. We describe how students’ ideas and their conceptual artifacts can be examined in discourse analysis. Third, we demonstrate the application of our analytics to real discourse data. We conducted a new type of social network analysis of discourse to examine how students continuously improve their ideas. Further, we conducted another network analysis of discourse, called the Epistemic Network Analysis, by coding students’ epistemic actions as conceptual artifacts to create and examine their ideas. 相似文献
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Using a bidimensional two-parameter logistic model, the authors generated data for two groups on a 40-item test. The item parameters were the same for the two groups, but the correlation between the two traits varied between groups. The difference in the trait correlation was directly related to the number of items judged not to be invariant using traditional unidimensional IRT-based unsigned item invariance indexes; the higher trait correlation leads to higher discrimination parameter estimates when a unidimensional IRT model is fit to the multidimensional data. In the most extreme case, when rθ1 θ2 = Ofor one group and r θ1 θ2 = 1.0 for the other group, 33 out of 40 items were identified as not invariant. When using signed indexes, the effect was much smaller. The authors, therefore, suggest a cautious use of IRT-based item invariance indexes when data are potentially multidimensional and groups may vary in the strength of the correlations among traits. 相似文献
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Nambury S. Raju (1937–2005) developed two model‐based indices for differential item functioning (DIF) during his prolific career in psychometrics. Both methods, Raju's area measures ( Raju, 1988 ) and Raju's DFIT ( Raju, van der Linden, & Fleer, 1995 ), are based on quantifying the gap between item characteristic functions (ICFs). This approach provides an intuitive and flexible methodology for assessing DIF. The purpose of this tutorial is to explain DFIT and show how this methodology can be utilized in a variety of DIF applications. 相似文献
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Jun Oshima Ritsuko Oshima Yoshiaki Matsuzawa 《Educational technology research and development : ETR & D》2012,60(5):903-921
In recent studies of learning theories, a new methodology that integrates two prevailing metaphors of learning (acquisition and participation) has been discussed. However, current analytical techniques are insufficient for analyzing how social knowledge develops through learners' discourse and how individual learners contribute to this development. In this paper, we propose a novel approach to analyzing learning from an integrative perspective and present a social network analysis application that uses learner discourse as input data: Knowledge Building Discourse Explorer (KBDeX). To investigate the utility of this approach, discourse data analyzed in a previous study is re-examined through social network analysis supported by KBDeX. Results suggest that social network analysis can qualitatively and quantitatively support the conclusions from the previous study. In addition, social network analysis can reveal potential points that are pivotal for social knowledge advancement in groups, and can identify each individual's contribution to this advancement. On the basis of these results, we discuss how social network analysis could be integrated into existing in-depth discourse analysis. 相似文献
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Oshima, Raju, Flowers, and Slinde (1998) described procedures for identifying sources of differential functioning for dichotomous data using differential bundle functioning (DBF) derived from the differential functioning of items and test (DFIT) framework (Raju, van der Linden, & Fleer, 1995). The purpose of this study was to extend the procedures for dichotomous DBF to the polytomous case and to illustrate how DBF analysis can be conducted with polytomous scoring, common to psychological and educational rating scales. The data set used was parent and teacher ratings of child problem behaviors. Three group contrasts (teacher vs. parent, boy vs. girl, and random groups) and two bundle organizing principles (subscale designation and random selection) were used for the DBF analysis. Interpretations of bundle indexes in the context of child problem behaviors were presented. 相似文献
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Keichi Oshima 《Research Policy》1984,13(5):285-301
As a background to the development of Japanese industry, important characteristics of its technological innovations and industrial research are discussed. The parrticular nature of Japanese development, if any, should be explained by the fact that from the start of industrialization by the Meiji Government, technological innovation was pursued as an integrated process from the outset, including important facets such as education, technology transfer, indigenous research, development, commercialization, and diffusion of technology and products.The integrated approach was a natural consequence of the effort of late-coming Japanese industry and the government to catch up with the already highly developed industries abroad. However, the world-wide trend after World War II for technological innovations to take place on an increasingly large scale, required an integrated approach. This favoured the break-through of Japanese industries, especially in the economic environment of high growth in the 1960s.Industrialization in the Meiji Era. technological development of Japanese industry in the post-war period, the characteristics of industrial research which supported development and new innovations in the 1980s are described.It is concluded that the industrial policy of the government in promoting a broad economic and social background for innovation and the activities of innovative enterprises in the private sector have been the two major activities which worked together to achieve the present state of Japanese industry. 相似文献