Learning in Dialogue: An Exploration of Talk in an English Classroom

ABSTRACT

This essay explores the role of talk within the English classroom. Classroom talk (in its various forms) is not simply a method for sharing fixed systems of knowledge or information; it is the most useful mechanism for giving learners the space to develop new meanings and new ways of thinking about their surroundings. As soon as learners are offered the space to make meaning through talk – in productive dialogue with those around – they are provided, not only with an opportunity to explore their ideas, but also with a chance to actively represent and reflect on their place within the wider world. For this essay, I draw on my experiences of teaching a small class of 14- and 15-year-olds and their work on An Inspector Calls.     

Information Search Behaviors of Indian Farmers: Implications for Extension Services

Abstract

Purpose: In India, a national survey conducted in 2003 showed that only 40% of farmers accessed extension. But little is known of the characteristics of farmers who did not access extension. However, this understanding is needed in order to target approaches to farmers, who differ in their access and use of information, that is their information search behaviors. The main objective of this paper is to segment farmers from this survey based on their information search behaviors and identify the factors that determine farmers' information search behaviors.

Design/methodology/approach: Cluster analysis is applied to the number of sources accessed and frequency of source used, to define farmers' information search behaviors.

Findings: The four groups that emerged are: ‘no search’, ‘low search’, ‘moderate search’ and ‘high search’. Sixty percent of farmers had no search behavior, which means they had not accessed any extension that year. By state, the largest group of these farmers was in Rajasthan. By comparison, the largest group of high searchers was in Kerala. Using Rajasthan and Kerala as case studies, these search behaviors differ by landholding size and education. ‘No search’ farmers had the smallest landholdings, lowest education, used fewer inputs and relied on groundwater for irrigation. By comparison, ‘high search’ farmers had the largest landholdings, most education, used more inputs and irrigated using canals.

Practical implications: The difference in search behaviors between the case study states, and within the states, shows that targeted extension approaches are needed to reach different farmers, particularly the no, low and moderate search groups, with programs customized to address their context-specific information needs.

Originality/value: Using information search strategy as the basis for analysis, this paper provides additional evidence of the need to consider the context-specific situations of farmers when designing extension services.     

To tag or not to tag? How to support organizing and classifying bookmarks from the Web (¿Con etiquetas o sin etiquetas? Cómo asistir en la organización y clasificación de los marcadores de páginas Web) (¿Con etiquetas o sin etiquetas? Cómo asistir en la organización y clasificación de los marcadores de páginas Web)

ABSTRACT

When searching for information on the Internet, it can be stored in a bookmarking system. The ability to organize this information in such a system depends on one’s own prior knowledge to create an appropriate classification scheme. Providing a classification system for bookmarks might support people with low prior knowledge. Even though different bookmarking systems exist, hierarchical menus and tagging are being most widely used. In the current exploratory study with 95 ninth-grade students, a 2 × 2 between-subjects design was used to investigate the influence of providing classification support (or not) for either a tagging or a hierarchical system. Results showed that despite the low familiarity with tagging systems, using a hierarchical system is not necessarily a better approach than using a tagging system to organize previously found information. Rather, a tagging system seems to yield storage of fewer but higher-quality information sources. The most important conclusion is that, despite the low familiarity with tagging systems, using a hierarchical system was not beneficial over using a tagging system to organize previously found information.     

Fit for a Bayesian: An Evaluation of PPP and DIC for Structural Equation Modeling

Despite its importance to structural equation modeling, model evaluation remains underdeveloped in the Bayesian SEM framework. Posterior predictive p-values (PPP) and deviance information criteria (DIC) are now available in popular software for Bayesian model evaluation, but they remain underutilized. This is largely due to the lack of recommendations for their use. To address this problem, PPP and DIC were evaluated in a series of Monte Carlo simulation studies. The results show that both PPP and DIC are influenced by severity of model misspecification, sample size, model size, and choice of prior. The cutoffs PPP < 0.10 and ?DIC > 7 work best in the conditions and models tested here to maintain low false detection rates and misspecified model selection rates, respectively. The recommendations provided in this study will help researchers evaluate their models in a Bayesian SEM analysis and set the stage for future development and evaluation of Bayesian SEM fit indices.     

Grandparent Involvement in the Communication Development of Children Who are Deafblind

Abstract

The purpose of this study was to investigate the role of grandparents in the communication development of children who are deafblind. The two-tiered study was conducted through State Projects for Deafblind Children in Arkansas, Mississippi, and Tennessee with 143 parents and 80 grandparents. The grandparents identified as “most involved” provided information about factors that influence their levels of involvement. The results suggest that maternal grandparents are the most involved. A needs analysis in areas of communication, nurturing, and school indicated the need for grandparents to be included as participants in developing communication plans.     

Detecting Mixtures From Structural Model Differences Using Latent Variable Mixture Modeling: A Comparison of Relative Model Fit Statistics

The accuracy of structural model parameter estimates in latent variable mixture modeling was explored with a 3 (sample size) × 3 (exogenous latent mean difference) × 3 (endogenous latent mean difference) × 3 (correlation between factors) × 3 (mixture proportions) factorial design. In addition, the efficacy of several likelihood-based statistics (Akaike's Information Criterion [AIC], Bayesian Information Ctriterion [BIC], the sample-size adjusted BIC [ssBIC], the consistent AIC [CAIC], the Vuong-Lo-Mendell-Rubin adjusted likelihood ratio test [aVLMR]), classification-based statistics (CLC [classification likelihood information criterion], ICL-BIC [integrated classification likelihood], normalized entropy criterion [NEC], entropy), and distributional statistics (multivariate skew and kurtosis test) were examined to determine which statistics best recover the correct number of components. Results indicate that the structural parameters were recovered, but the model fit statistics were not exceedingly accurate. The ssBIC statistic was the most accurate statistic, and the CLC, ICL-BIC, and aVLMR showed limited utility. However, none of these statistics were accurate for small samples (n = 500).     

Statistical Significance and Effect Size in Education Research: Two Sides of a Coin

Abstract

In education research, statistical significance and effect size are 2 sides of 1 coin; they complement each other but they do not substitute for each other. Good research practice requires that, to make sound research decisions, both sides should be considered. In a simulation study, the sampling variability of 2 popular effect-size measures (d and R ²) was examined. The variability showed that what is statistically significant may not be practically meaningful, and what appears to be practically meaningful could have been the result of sampling error, thus not trustworthy. Some practical guidelines are suggested for combining the 2 sources of information in research practice.     

Keyboarding Aids

Abstract

Elementary schools across the United States are striving to find the most effective method of teaching keyboarding to their students. A number of schools make use of sensor-key capson the Dand the Kkeys. These caps have eight elevated dots forming a circle in the center of the cap. Educators would benefit from knowing if, indeed, these key caps make a significant difference in students' abilities to keyboard with increased speed and accuracy when compared to standard keys. This study was conducted on two groups of third-, fourth-, and fifth-grade students (N= 95) who completed a keyboarding unit. One group used the sensor-key caps and the other group did not. Results provided no evidence that the use of sensor-key caps improved keyboarding speed or accuracy over standard keys without the key caps.     

Editorial

Purpose: The purpose of this study was to assess the quality of scientific arguments developed by pre-service physics teachers.

Sample: The participants were 171 pre-service physics teachers recruited from two universities: 86 from University A and 85 from University B.

Design and method: Participants were prompted to develop a written argument to either support or challenge the Turkish government’s decision to invest in nuclear power plants. Data consist of written arguments developed by the participants and information on participants’ knowledge of the topic, their confidence in their knowledge and the source of their knowledge related to the topic. Data were analyzed using the CER framework.

Results: The results show that participants did not perform at the expected level. The majority of students failed to develop strong scientific arguments. While almost all of the participants provided evidence to justify their claims, they failed to effectively coordinate evidence, claim and theory to develop an argument. Students struggled the most in the warrant/reasoning category of the CER framework. We also identified several misconceptions that students held related to nuclear power plants.

Conclusions: In our discussion we problematize college science teaching and advocate integration of instructional strategies such as argumentation that can effectively engage students in construction, evaluation and justification of knowledge.     

Cognitive Difficulties in Struggling Comprehenders and Their Relation to Reading Comprehension: A Comparison of Group Selection and Regression-Based Models

ABSTRACT

Difficulties suppressing previously encountered but currently irrelevant information from working memory characterize less skilled comprehenders in studies in which they are matched to skilled comprehenders on word decoding and nonverbal IQ. These “extreme” group designs are associated with several methodological issues. When sample size permits, regression approaches permit a more accurate estimation of effects. Using data for students in Grades 6 through 12 (n = 766), regression techniques assessed the significance and size of the relation of suppression to reading comprehension across the distribution of comprehension skill. After accounting for decoding efficiency and nonverbal IQ, suppression, measured by performance on a verbal proactive interference task, accounted for a small amount of significant unique variance in comprehension (less than 1%). A comparison of suppression in less skilled comprehenders matched to more skilled comprehenders (48 per group) on age, word reading efficiency, and nonverbal IQ did not show significant group differences in suppression. The implications of the findings for theories of reading comprehension and for informing comprehension assessment and intervention are discussed.     

Performance of Factor Mixture Models as a Function of Model Size,Covariate Effects,and Class-Specific Parameters

Abstract

Factor mixture models are designed for the analysis of multivariate data obtained from a population consisting of distinct latent classes. A common factor model is assumed to hold within each of the latent classes. Factor mixture modeling involves obtaining estimates of the model parameters, and may also be used to assign subjects to their most likely latent class. This simulation study investigates aspects of model performance such as parameter coverage and correct class membership assignment and focuses on covariate effects, model size, and class-specific versus class-invariant parameters. When fitting true models, parameter coverage is good for most parameters even for the smallest class separation investigated in this study (0.5 SD between 2 classes). The same holds for convergence rates. Correct class assignment is unsatisfactory for the small class separation without covariates, but improves dramatically with increasing separation, covariate effects, or both. Model performance is not influenced by the differences in model size investigated here. Class-specific parameters may improve some aspects of model performance but negatively affect other aspects.     

How gifted students learn: Implications from recent research 1

A review of several recent investigations into the nature of how gifted students learn and the conditions under which they learn most effectively indicates that gifted learners spontaneously produce more effective learning strategies than comparison groups and benefit from the use of more complex, externally provided strategies. Implications from this research for the teacher of the gifted include the use of slower presentation rates for new information, spatial organization of prose content, and teacher provided mnemonic strategies.     

Factors Influencing Access to Integrated Soil Fertility Management Information and Knowledge and its Uptake among Smallholder Farmers in Zimbabwe

Abstract

Purpose: The study evaluated how farmer acquisition, sharing and use patterns of information and knowledge interact with different socioeconomic factors to influence integrated soil fertility management (ISFM) technology uptake.

Design/methodology/approach: The study was conducted as part of an evaluation of field-based farmer learning approaches introduced by SOFECSA in Zimbabwe. Building on emerging farmer interactive platforms, data were collected using farmer participatory research approaches.

Findings: Over 90% of the farmers identified the national extension agents as the farmers' most preferred and reliable sources of information on ISFM, with farmer-to-farmer interactions ranking second. Non-governmental organisations and the print media emerged as the least trusted sources of agricultural technical information. Field-based learning centres, which enabled interactive evaluation of different ISFM options, constituted ~50%, indicating that they were major platforms for information and knowledge sharing. Uptake of ISFM was influenced by farmer resource group and farmers' visits to learning centres. Farmer experience and access to extension services were, in turn, the major factors influencing farmers' use of ISFM information. Approaches that support farmer-to-farmer interactions are required and learning centres are a suitable platform for such interactions to occur.

Practical implications: The article brings to attention the role of learning centres in fostering adoption of ISFM technologies. Insights on the need to support and strengthen agricultural extension in rural smallholder communities are provided.

Originality/value: This is a unique study exploring the role of farmer-oriented information and knowledge management in promoting complex technologies such as ISFM. A new dimension on the demands of new approaches for information dissemination to enhance knowledge sharing is presented.     

Modeling Dynamic Functional Neuroimaging Data Using Structural Equation Modeling

The aims of this study were to present a method for developing a path analytic network model using data acquired from positron emission tomography. Regions of interest within the human brain were identified through quantitative activation likelihood estimation meta-analysis. Using this information, a “true” or population path model was then developed using Bayesian structural equation modeling. To evaluate the impact of sample size on parameter estimation bias, proportion of parameter replication coverage, and statistical power, a 2 group (clinical/control) × 6 (sample size: N = 10, N = 15, N = 20, N = 25, N = 50, N = 100) Markov chain Monte Carlo study was conducted. Results indicate that using a sample size of less than N = 15 per group will produce parameter estimates exhibiting bias greater than 5% and statistical power below .80.     

A comparison between a Neuro-Physiological Psychotherapy (NPP) treatment group and a control group for children adopted from care: Support for a neurodevelopmentally informed approach to therapeutic intervention with maltreated children

BackgroundLittle evidence exists regarding outcomes of therapeutic interventions for maltreated children who are removed from their birth families and then adopted. This study follows on from a previous evaluation of the Neuro-Physiological Psychotherapy (NPP) model, which found significant, positive and sustained post-treatment change.ObjectiveTo compare the outcomes for the NPP intervention group to those of a control group.Participants and settingParticipants were families who received the NPP intervention and families who, following assessment, did not receive the NPP intervention as recommended.MethodsGroups were matched in terms of demographics and presentation at assessment. A comparison of outcomes took place using ANCOVA.ResultsSignificant differences were found between group measures of Behavioral Regulation Index (moderate effect size, Cohen’s d = .435; F(1, 1505) = 14.476, p = .000) and Global Executive Functioning (BRIEF) (small effect size, Cohen’s d = .147; F(1, 3506) = 7.771, p = .008); mental health difficulties common in maltreated children (ACC/ACA) (small effect size, Cohen’s D = .212; F(1, 1100) = 6.197, p = .020) and externalizing behavior (CBCL) (small effect size, Cohen’s D = .025; F(1, 686) = 5.420, p = .025). A comparison of parent responses on quantitative aspects of a structured interview using chi-square analysis revealed significant differences between the groups on relationship quality (x2 (2, N = 53) = 10.453, p = .005 with a medium effect size, Cramer’s V = .444), disruption (x2 (1, N = 54) = 4.998, p = .025. The effect size was medium with Cramer’s V = .304), parental separation rates (x2 (1, N = 45) = 9.474, p = .002. The effect size was moderate with Cramer’s V = .459) and several indicators for longer-term social inclusion. The results are discussed in the light of the model’s neurodevelopmental and sequential approach, which focuses on sensory integration, affect regulation and therapeutic life story work alongside parent and school support.ConclusionsImplications regarding current treatment guidelines for this population are discussed; and a call is made for interventions which actively consider and address the neurodevelopmental impact of maltreatment.     

The Evolution of Leadership Research in Higher Education for Two Decades (1995-2014): A Bibliometric and Content Analysis

ABSTRACT

The present study aims to examine the leadership research in higher education in order to shed light on its development during the last two decades by revealing the evolving trends in research on leadership in higher education, the most prominent scholars working on related research, the most popular topics in related research, and the countries in which the related studies are based. Bibliometric method was employed in the analysis of the original research and review papers published in five prominent higher education journals between 1995 and 2014: Higher Education, Research in Higher Education, Studies in Higher Education, The Journal of Higher Education and The Review of Higher Education. The results of this bibliometric analysis show that the majority of the related articles come from three countries: the U.S.A., the UK and Australia. It is also found that the leadership research in higher education is still very scarce and has not shown any meaningful increase during the last two decades. In addition, content analysis is used to provide more in-depth information about the topical focus, purpose and methodology of the selected articles. The results of content analyses are discussed in detail, and suggestions for the future research are provided.     

A Note on Cluster Effects in Latent Class Analysis

This article examines the effects of clustering in latent class analysis. A comprehensive simulation study is conducted, which begins by specifying a true multilevel latent class model with varying within- and between-cluster sample sizes, varying latent class proportions, and varying intraclass correlations. These models are then estimated under the assumption of a single-level latent class model. The outcomes of interest are measures of bias in the Bayesian Information Criterion (BIC) and the entropy R ² statistic relative to accounting for the multilevel structure of the data. The results indicate that the size of the intraclass correlation as well as between- and within-cluster sizes are the most prominent factors in determining the amount of bias in these outcome measures, with increasing intraclass correlations combined with small between-cluster sizes resulting in increased bias. Bias is particularly noticeable in the BIC. In addition, there is evidence that class separation interacts with the size of the intraclass correlations and cluster sizes in producing bias in these measures.     

Assessing Structural Equation Models by Equivalence Testing With Adjusted Fit Indexes

Conventional null hypothesis testing (NHT) is a very important tool if the ultimate goal is to find a difference or to reject a model. However, the purpose of structural equation modeling (SEM) is to identify a model and use it to account for the relationship among substantive variables. With the setup of NHT, a nonsignificant test statistic does not necessarily imply that the model is correctly specified or the size of misspecification is properly controlled. To overcome this problem, this article proposes to replace NHT by equivalence testing, the goal of which is to endorse a model under a null hypothesis rather than to reject it. Differences and similarities between equivalence testing and NHT are discussed, and new “T-size” terminology is introduced to convey the goodness of the current model under equivalence testing. Adjusted cutoff values of root mean square error of approximation (RMSEA) and comparative fit index (CFI) corresponding to those conventionally used in the literature are obtained to facilitate the understanding of T-size RMSEA and CFI. The single most notable property of equivalence testing is that it allows a researcher to confidently claim that the size of misspecification in the current model is below the T-size RMSEA or CFI, which gives SEM a desirable property to be a scientific methodology. R code for conducting equivalence testing is provided in an appendix.     

Multimodal Hip Hop Productions as Media Literacies

Abstract

This study draws on ethnographic data from a year-long multimodal media production (MMP) course and the experience of an African American female adolescent who used the production of multimodal Hip Hop texts to express her creativity and growing socially conscious view of the world. The study demonstrates how students made meaning multimodally and how media production, in combination with participating in community-based research, provided powerful opportunities for youth to develop new literacies, especially critical media literacies.

[Supplementary materials are available for this article. Go to the publisher's online edition of The Educational Forum for the following free supplemental resources: Figure 1 and Figure 2, which show pictures of Gina and her group, the lyrics to the raps, gestures used with the raps, and other pertinent information.]