“Can do!” Teacher Promotion of Optimism in Response to Student Failure Expectation Expressions in Classroom Discourse

ABSTRACT

This study offers detailed observational analyses of how teachers use optimism as an instructional resource when responding to students’ failure expectation displays in classroom situations. The results were based on video-recordings of 25 lessons in two Finnish part-time special education settings, analysed by means of applied conversation analysis. The results showed that the teachers boosted optimism by inverting students’ negative utterances, giving examples of successful experiences of peers, offering praise for students’ earlier performance or focusing on problems through instructional support. The study underlines the importance of addressing and elaborating students’ negative learning-related self-assessments in classroom interactions.     

Evaluating Training Outcomes in Corporate E-Learning and Classroom Training

The study contributes to training evaluation research by systematically comparing training outcomes between corporate e-learning and classroom training. We investigated a sample of vocational trainees (N?=?86) in a field experiment with a time-lag design and examined their subjective as well as objective training success. While training success was subjectively perceived to vary in effectiveness depending on the setting right after the training, with higher scores for trainees in classroom training, it was perceived similarly effective in both training settings after six to eight weeks. With regard to objective training success, we found that whereas declarative and procedural knowledge scores increased for e-learning trainees, they decreased for trainees in classroom training. However, strengths of e-learning become more prevalent six to eight weeks after the training. Thus in the end, e-learning is as effective as classroom training for procedural knowledge and more effective than classroom training for declarative knowledge as e-learning trainees catch up on previous differences across time. We conclude that it is not the training setting or delivery media per se that leads to higher levels of trainings success in the long run but in order to be effective, trainings should be designed taking especially the type of learning content (declarative or procedural knowledge) into account.     

Fostering Social Participation in Inclusive Classrooms of Students who are Deaf

ABSTRACT

Research indicates that children with hearing impairment are at higher risk regarding their social participation in school compared to their hearing peers. The purpose of this study was to investigate the social participation of 7th Grade students with hearing impairment in inclusive classrooms. Data from 62 7th Grade students across three classrooms and teachers were collected via paper-and-pencil questionnaires and from regular and special needs teachers via interviews. Results from the single case studies in three classrooms indicate that students with hearing impairment feel less socially integrated and less accepted by their peers. They do, however, interact more with other students with special needs and most students with hearing impairment have friends in their class. Teachers evaluated social integration, acceptance, interaction and friendships of their students with hearing impairment as average or as above average. The teachers’ evaluations only partly correspond to the self-perceptions of the students. Factors that either promote or hinder participation on an institutional, teacher, teaching and student level were exposed, which may have important practice and policy implications.     

One task,divergent solutions: high- versus low-status sources and social comparison guide adaptation in a computer-supported socio-cognitive conflict task

This experimental study extends conflict elaboration theory (1) by revealing social influence dynamics for a knowledge-rich computer-supported socio-cognitive conflict task not investigated in the context of this theory before and (2) by showing the impact of individual differences in social comparison orientation. Students in two conditions (N = 59) compared their self-created task solution with a partly correct solution presented additionally, deviating from their solution. The other solution’s source was introduced either as a low status source (“peer”) or as a high status source (“textbook”) whereas the presented solution was identical. In a baseline condition, this comparison possibility was missing. Students in the textbook condition experienced more socio-cognitive conflict and adapted their solution more often to the correct aspect of the presented solution than students in the peer condition. Students low in social comparison orientation adapted their solution more extensively in the textbook condition than in the peer condition.     

A Comparison of Method Effects in Two Confirmatory Factor Models for Structurally Different Methods

It is well known that measurement error in observable variables induces bias in estimates in standard regression analysis and that structural equation models are a typical solution to this problem. Often, multiple indicator equations are subsumed as part of the structural equation model, allowing for consistent estimation of the relevant regression parameters. In many instances, however, embedding the measurement model into structural equation models is not possible because the model would not be identified. To correct for measurement error one has no other recourse than to provide the exact values of the variances of the measurement error terms of the model, although in practice such variances cannot be ascertained exactly, but only estimated from an independent study. The usual approach so far has been to treat the estimated values of error variances as if they were known exact population values in the subsequent structural equation modeling (SEM) analysis. In this article we show that fixing measurement error variance estimates as if they were true values can make the reported standard errors of the structural parameters of the model smaller than they should be. Inferences about the parameters of interest will be incorrect if the estimated nature of the variances is not taken into account. For general SEM, we derive an explicit expression that provides the terms to be added to the standard errors provided by the standard SEM software that treats the estimated variances as exact population values. Interestingly, we find there is a differential impact of the corrections to be added to the standard errors depending on which parameter of the model is estimated. The theoretical results are illustrated with simulations and also with empirical data on a typical SEM model.     

Identities of special needs education in the discourse of Finnish professors of the field

This article examines both the discourses upon which Finnish special needs education professors draw when speaking about their field, and the consequent identities for it. The research material consists of theme interviews with 10 professors of special needs education and is analysed from a socio-constructionist, discourse analytical perspective. The results show that the professors defined special needs education from two separate viewpoints: on the basis of their own personal views, or on the basis of the classical definitions of special needs education. The professors spoke about the field through five different discourses: professional, emancipatory, relativistic, autonomous and critical. The majority of these discourses constructed special needs education as an important part of the science field, although the relativistic discourse problematised its position as an independent discipline.     

Pharmacogenetics and personalized treatment of type 2 diabetes

Type 2 diabetes mellitus (T2DM) is a worldwide epidemic with considerable health and economic consequences. T2DM patients are often treated with more than one drug, including oral antidiabetic drugs (OAD) and drugs used to treat diabetic complications, such as dyslipidemia and hypertension. If genetic testing could be employed to predict treatment outcome, appropriate measures could be taken to treat T2DM more efficiently. Here we provide a review of pharmacogenetic studies focused on OAD and a role of common drug-metabolizing enzymes (DME) and drug-transporters (DT) variants in therapy outcomes. For example, genetic variations of several membrane transporters, including SLC22A1/2 and SLC47A1/2 genes, are implicated in the highly variable glycemic response to metformin, a first-line drug used to treat newly diagnosed T2DM. Furthermore, cytochrome P450 (CYP) enzymes are implicated in variation of sulphonylurea and meglitinide metabolism. Additional variants related to drug target and diabetes risk genes have been also linked to interindividual differences in the efficacy and toxicity of OAD. Thus, in addition to promoting safe and cost-effective individualized diabetes treatment, pharmacogenomics has a great potential to complement current efforts to optimize treatment of diabetes and lead towards its effective and personalized care.     

Intergenerational transmission of gender segregation: How parents’ occupational field affects gender differences in field of study choices

The study explores how parents’ occupational field affects gender differences in educational fields. On the one hand, the theory of direct transfer predicts that adolescents enter fields similar to those of their parents because of intergenerational transmission of occupation‐specific resources and that adolescents are more likely to draw upon the resources provided by the higher‐status parent. On the other hand, the theory of sex‐role learning predicts that boys and girls are more likely to choose more gender‐stereotypical fields of study because they learn ‘appropriate’ gender‐role behaviour from their parents’ occupational field and that boys are more likely to learn this behaviour from their father and girls from their mother. We use longitudinal data collected from adolescents and their parents in the Netherlands (N = 2,497) and tested our hypotheses using multiple‐group structural equation modelling and multinomial regression analyses. In line with sex‐role learning, results show that especially mothers who are employed in a more feminine occupational field influence their daughters to enter a more feminine field of study (health, biology, agriculture and veterinary) and their sons to enter a more masculine field of study (science and technology). Mothers’ occupational field therefore not only influences girls’ field of study, but also boys’. This study highlights the role of horizontal characteristics when examining which field of study adolescents enter. Contrary to the stratification literature, which primarily focuses on fathers, this study concludes that mothers play a more important role in gender differences in fields of study.     

Building a gold standard to construct search filters: a case study with biomarkers for oral cancer

Objective:

To support clinical researchers, librarians and informationists may need search filters for particular tasks. Development of filters typically depends on a “gold standard” dataset. This paper describes generalizable methods for creating a gold standard to support future filter development and evaluation using oral squamous cell carcinoma (OSCC) as a case study. OSCC is the most common malignancy affecting the oral cavity. Investigation of biomarkers with potential prognostic utility is an active area of research in OSCC. The methods discussed here should be useful for designing quality search filters in similar domains.

Methods:

The authors searched MEDLINE for prognostic studies of OSCC, developed annotation guidelines for screeners, ran three calibration trials before annotating the remaining body of citations, and measured inter-annotator agreement (IAA).

Results:

We retrieved 1,818 citations. After calibration, we screened the remaining citations (n = 1,767; 97.2%); IAA was substantial (kappa = 0.76). The dataset has 497 (27.3%) citations representing OSCC studies of potential prognostic biomarkers.

Conclusions:

The gold standard dataset is likely to be high quality and useful for future development and evaluation of filters for OSCC studies of potential prognostic biomarkers.

Implications:

The methodology we used is generalizable to other domains requiring a reference standard to evaluate the performance of search filters. A gold standard is essential because the labels regarding relevance enable computation of diagnostic metrics, such as sensitivity and specificity. Librarians and informationists with data analysis skills could contribute to developing gold standard datasets and subsequent filters tuned for their patrons'' domains of interest.