Examining the Factors Affecting the Rate of IPTV Diffusion: Empirical Study on Korean IPTV

This article has been retracted.     

Conceptual coherence,comprehension, and vocabulary acquisition: A knowledge effect?

Previous research has documented the role of readers’ existing topic knowledge in supporting students’ comprehension of text; yet, we know less about how to build students’ knowledge in order to support comprehension and vocabulary learning. In the current study, we test the hypothesis that knowledge can be built and leveraged simultaneously in the interest of students’ literacy development through the use of conceptually coherent text sets. Fourth grade students (N = 59) were randomly assigned to read either a set of six informational texts that cohered around a set of concepts related to the topic birds (CC texts) or a set of texts that addressed a range of topics (NCC group texts). After reading, we assessed students’: (1) knowledge of the concepts in the conceptually coherent text set, (2) knowledge of target concept-related words that appeared in their respective text sets, (3) knowledge of general academic words that appeared in both texts sets, (4) comprehension of a novel text on a related topic, and (5) interest in the topic of the conceptually coherent texts. Results revealed that students who read the conceptually coherent texts demonstrated more knowledge of the concepts in their texts, more knowledge of the target words in their texts, and had better recall of the novel text compared to students who read unrelated texts. Findings suggest that there is potential for knowledge and vocabulary to be built during English language arts through a focus on conceptual coherence in the design of reading experiences for students.     

Examination of Middle-School Students' Independent Use of a Complex Mnemonic System

The purpose of the present 2-experiment study was to determine whether a recently developed mnemonic numeric strategy could be used more independently by middle school students. In the context of associating various 18th-, 19th-, and 20th-century inventions with their dates, the authors found that students could successfully implement the strategy in a group-instructional context (as opposed to the one-on-one individual administrations of earlier investigations). The students were not, however, able to take the basic components of the strategy and effectively apply them without complete mnemonic pictorial support. That is, students did not create their own memory-enhancing visual images in the absence of instructor-provided interactive line drawings. The results are consistent with those of previous research documenting that less sophisticated learners (including middle school students) are unable to apply complex mnemonic strategies independently unless they are provided with sufficient auxiliary support to reduce information-processing demands.     

Why might relative fit indices differ between estimators?

Previous research indicates that relative fit indices in structural equation modeling may vary across estimation methods. Sugawara and MacCallum (1993) explained that the discrepancy arises from difference in the function values for the null model with no further derivation given. In this study, we derive explicit solutions for parameters of the null model. The null model specifies the variances of the observed variables as model parameters and fixes all the covariances to be zero. Three methods of estimation are considered: the maximum likelihood (ML) method, the ordinary least squares (OLS) method, and the generalized least squares (GLS) method. Results indicate that ML and LS yield an identical estimator, which is different from GLS. Function values and associated chi‐square statistics of the null model vary across estimation methods. Consequently, relative fit indices using the null model as the reference point in computation may yield different results depending on the estimation method chosen. An illustration example is given and implications of this study are discussed.     

Developing digital portfolios: investigating how digital portfolios can facilitate pupil talk about learning

The Digital Portfolio Project at Newcastle University aimed over one year (2002/2003) to support teachers in producing, storing and accessing assessment portfolios of learner’s work using information and communications technology (ICT). This paper draws on evidence of pupil views collected as part of 14 teacher‐led case studies. The teachers all approached the task of developing digital portfolios in different ways and the variety of end products was large; however, the common result was the value placed on using the portfolio as a tool for reflection and celebration of children’s learning. As part of the data collection teachers were encouraged to gather pupil views about the digital portfolio learning process. These comments provide an interesting and surprisingly analytical perspective of the research and learning process not commonly considered in the academic community. This paper documents the pupils’ views and uses them to review the strength of the digital portfolio process and the benefits of using it in the primary classroom.     

The impact of individual differences on e‐learning system satisfaction: A contingency approach

This study investigated the impact of contingent variables on the relationship between four predictors and students' satisfaction with e‐learning. Five hundred and twenty‐two university students from 10 intact classes engaging in online instruction were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and satisfaction with e‐learning systems. The results of analysis of variance and structural equation modelling analyses showed that two contingent variables, gender and job status, significantly influenced the perceptions of predictors and students' satisfaction with the e‐learning system. This study also found a statistically significant moderating effect of two contingent variables, student job status and learning styles, on the relationship between predictors and e‐learning system satisfaction. The results suggest that a serious consideration of contingent variables is crucial for improving e‐learning system satisfaction. The implications of these results for the management of e‐learning systems are discussed.     

Redefining Normal: A Critical Analysis of (Dis)ability in Young Adult Literature

This literary analysis examines constructions of normalcy and disability within contemporary young adult literature, including Jerk, California (Friesen, 2008), Marcelo in the Real World (Stork, 2009), and Five Flavors of Dumb (John, 2010). As recent winners of the Schneider Family Book Award from the American Library Association, these novels offer complex and realistic portrayals of characters with disabilities. Drawing on critical discourse analysis, this paper explores how identity, agency, and power shape the novels’ plots and themes. The growing prevalence of characters with disabilities in young adult literature offers an opportunity for students to consider how disability is constructed in society and represented in literary works. By taking a critical approach to literary analysis, teachers can emphasize social justice within the English curriculum.     

Authors index

Authors Index

Authors index