Success despite specific learning disabilities

Abstract

Proactive coping is known to be a key resource for life success by adults who have specific learning disabilities. This paper describes two programs that were trialled as part of doctoral research. These were a coping program and a teacher feedback intervention designed to increase proactive coping for adolescent students with specific learning disabilities. The coping program focused on use of proactive coping strategies, optimistic thinking and assertiveness, and was designed according to best practice for access by students who have specific learning disabilities. The teacher feedback intervention involved teacher feedback to individual students that focused on expectation of use of effort, and strategy in preference to negative rumination on poor ability.     

Enhancing consent forms to support participant decision making in multimodal learning data research

Advances in the field of multimodal learning analytics (MMLA) research is often accomplished by actively exploring new technologies and techniques related to the collection and analysis of data. Exploration of ethical principles and procedures for governing the use of new technologies and techniques, however, is not as readily pursued. As collected data grow in complexity and invasiveness, potentially, a growing need is arising to scrutinize ethical aspects of MMLA research. In our study, we introduce an informed consent comprehension test for educational technology research and assess the effects of enhancing MMLA consent forms on comprehension of informed consent and on rates of enrollment in a MMLA study. One form is written from a researcher perspective and the other from a participant perspective. Results of the study involving first-year undergraduate students suggest that the overall level of comprehension did not differ between conditions. Yet, the participant-oriented consent form resulted in significantly lower rates of enrollment. Implications for MMLA researchers are discussed.     

Evaluation of a tangible mobile application for students with specific learning disabilities

Students with specific learning disabilities (SLD) typically do not perform at the expected levels of academic achievement. Tangible mobile applications are learning devices that allow for physical engagement and multisensory interaction. They present as promising tools to facilitate learning for students with SLD. This study explored the use of a tangible mobile application for assisting three seventh-grade Turkish students with SLD to learn scientific principles regarding cell concepts. A multiple-probe design across participants was used to examine the effectiveness of a tangible mobile application. In addition, issues related to usability of the application were also explored. The overall results of the study showed that the tangible mobile application was effective, and the students with SLD were willing to use this application, enjoyed the process, and used the application and objects easily/correctly.     

Potential utility of actuarial methods for identifying specific learning disabilities

This article describes how actuarial methods can supplant discrepancy models and augment problem solving and Response to Intervention (RTI) efforts by guiding the process of identifying specific learning disabilities (SLD). Actuarial methods use routinized selection and execution of formulas derived from empirically established relationships to make predictions that fall within a plausible range of possible future outcomes. In the case of SLD identification, the extent to which predictions are reasonable can be evaluated by their ability to categorize large segments of the population into subgroups that vary considerably along a spectrum of risk for academic failure. Although empirical comparisons of actuarial methods to clinical judgment reveal that actuarial methods consistently outperform clinical judgment, multidisciplinary teams charged with identifying SLD currently rely on clinical judgment. Actuarial methods provide educators with an empirically verifiable indicator of student need for special education and related services that could be used to estimate the relative effects of exclusionary criteria. This indicator would provide a defensible endpoint in the process of identifying SLD as well as a means of informing and improving the SLD identification process. © 2010 Wiley Periodicals, Inc.     

Effective literacy instruction for adults with specific learning disabilities: implications for adult educators

Adults with learning disabilities (LD) attending adult basic education, GED programs, or community colleges are among the lowest performers on measures of literacy. For example, on multiple measures of reading comprehension, adults with LD had a mean reading score at the third grade level, whereas adults without LD read at the fifth grade level. In addition, large numbers of adults perform at the lowest skill levels on quantitative tasks. Clearly, significant instructional challenges exist for adults who struggle with literacy issues, and those challenges can be greater for adults with LD. In this article, the literature on adults with LD is reviewed, and evidenced-based instructional practices that significantly narrow the literacy achievement gap for this population are identified. Primary attention is given to instructional factors that have been shown to affect literacy outcomes for adults with LD. These factors include the use of explicit instruction, instructional technology, and intensive tutoring in skills and strategies embedded in authentic contexts.     

Children's attitudes towards ADHD,depression and learning disabilities

Attention deficit hyperactivity disorder (ADHD), depression and general learning disabilities (LD) are common difficulties for British primary school children. It has been found that characteristics associated with these difficulties can result in negative attitudes and stigma from other children, causing problems with peer relationships. Furthermore, problematic peer relations can intensify the difficulties associated with these disorders. Packages such as ‘Tackling Stigma: A Practical Toolkit’ aim to combat stigma in schools. However, these packages have not been based on evidence regarding children's attitudes towards different disorders. This study aims to explore children's attitudes towards ADHD, depression and LD from a conative (measure of social distance) and cognitive (measure of positive or negative attributes ascribed to a person) perspective. Participants were 273 children (M= 9.2 years). Vignettes were used to describe a child with ADHD, depression, or LD or a ‘normal’ child. The Shared Activities Questionnaire was utilised to assess conative attitudes, and the Adjective Checklist was utilised to assess cognitive attitudes. Results showed that children generally displayed more negative attitudes to vignettes describing mental health difficulties (MHD) (ADHD and depression) than LD. Children had more negative attitudes towards the ADHD (externalising disorder) vignette than the depression vignette (internalising disorder). Younger children had more positive conative attitudes than older children. Those who had previous contact with children with ADHD, depression and LD had more positive attitudes. These findings can enhance current stigma reduction interventions through contributing a deeper understanding of children's attitudes towards the most common MHD and LD in childhood.     

An outcome study of an early intervention for specific learning disabilities

Subjects at risk for specific learning disabilities were assessed on standardized measures throughout elementary and middle school following an intervention based on task analysis of kindergarten curricula and team teaching. All results were significant for the treatment group in relation to an at-risk cohort and comparable to a current random cohort and national averages.     

Leadership decision making and the use of data

Intelligence gathering, or data collection, is a preliminary and critical stage of decision making. Two key approaches to intelligence gathering are “discovery” and “idea imposition.” The discovery approach allows us to learn about possibilities by gathering intelligence in order to identify and weigh options. The idea imposition approach limits intelligence gathering and focuses resources on promoting a solution. The purpose of this study is to explore the intelligence‐gathering stage of organizational leaders during decision making from both of these perspectives and to begin to identify themes as they relate to the data considered, types of decisions and outcomes sought, and level of confidence in decision‐making success.     

Data-based decision making for teacher and student learning: a psychological perspective on the role of the teacher

Data-based decision-making has the potential to increase student achievement results. Data-based decision-making can be defined as teachers’ systematic analysis of data sources in order to study and adapt their educational practices for the purpose of maximizing learning results. Teachers must apply the findings from their data use to their personal teaching activities. Therefore, data-based decision-making may be influenced by individual teachers' psychological characteristics. The present study aimed to explore which psychological factors contribute to teachers’ data use in a Dutch primary school context. A questionnaire-based quantitative methodology was employed. We included the following psychological constructs: affective and instrumental attitudes, perceived control, social norms, self-efficacy, collective efficacy, and intentions regarding data use. Results of the path analysis showed that perceived control, instrumental attitude, and intention regarding data use all significantly influenced data use. Additionally, intention was found to be a mediator of the relation between affective attitude and data use. Interventions aimed at data-based decision-making should take these psychological factors into account to increase teachers’ implementation of data-based decision-making for instruction and, consequently, educational quality.     

Designing for decision making

Decision making is the most common kind of problem solving. It is also an important component skill in other more ill-structured and complex kinds of problem solving, including policy problems and design problems. There are different kinds of decisions, including choices, acceptances, evaluations, and constructions. After describing the centrality and importance of decision making to problem solving and everyday cognition, this paper contrasts normative (rational) with naturalistic approaches to decision making. Normative approaches, such as decision matrices, SWOT, and force field analyses, scaffold rational decision-making approaches. Naturalistic approaches such as constructing stories, mental simulations, scenarios, and arguments, emphasize the meanings of decision options and the role of unconscious emotions in decision making. Recommendations about instructional designs to support both conceptions are followed by recommendations about assessing decisions and decision-making ability. These recommendations provide many researchable questions.     

The relation between sense of audience and specific learning disabilities: An exploration

The relationship between two college-able learning-disabled writers’ unique social and cognitive profiles and the sense of audience in their written texts is explored. The first student demonstrated significant visual and organizational cognitive processing deficits. The second student had deficits in oral language comprehension and production. While the writing of both students was affected by their disabilities, our findings suggest that the quality of their audience awareness is indeed related to the nature of their specific learning disability profile.     

Issues in the definition and diagnosis of learning disabilities: a perspective on Guckenberger v. Boston University

This article reviews issues related to the definition of learning disabilities in the context of the Guckenberger v. Boston University case. Four major questions are addressed: (a) Who is learning disabled? (b) How should learning disabilities be assessed? (c) Who is qualified to make a decision about whether or not an individual has a learning disability? and (d) What accommodations should be provided by a postsecondary institution and how should they be selected? Although these are complicated and difficult questions, it is possible to develop a simple, reasonable classification system for learning disabilities, and to conduct assessments based on a coherent and relevant set of achievement tests in which individuals who score below a cutoff are considered learning disabled. Scores on IQ tests are irrelevant and not useful and may even be discriminatory. The issues of decision making regarding learning disabilities and appropriate accommodations remain significant dilemmas for the field; resolution of these issues seems virtually impossible without agreement on appropriate procedures for the definition, identification, and assessment of learning disabilities.     

Attributional patterns towards students with and without learning disabilities: a comparison of pre- and in-service teachers in China

This study aims to investigate the differences of attributional responses to students with and without learning disabilities (LD) between pre- and in-service teachers in mainland China. A total of 204 teachers (101 pre-service and 103 in-service teachers) were surveyed using vignettes and Likert scale questions to ascertain their responses to students with and without LD. Drawing from Weiner’s attributional theory, teachers’ feedback, frustration, sympathy and expectation were measured. A multivariate analysis of variance (MANOVA) was executed to compare pre-service and in-service teacher responses regarding students with and without LD. The findings showed that pre-service teachers experienced significantly lower frustration than in-service teachers to students with and without LD. Moreover, the teachers gave more positive feedback but felt less sympathy to students with LD who exerted high effort. These findings implied that pre-service tended to foster a more positive attribution style. Implications and recommendations for research and practice are also presented.     

A feedback learning and mental models perspective on strategic decision making

This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term success. We present a set of hypotheses about the influence of feedback information and systems thinking facilitation on mental models and management performance. We explore, under controlled conditions, the role of mental models in terms of structure and behaviour. A test based on a simulation experiment with a system dynamics model was performed. Three out of the four hypotheses were confirmed. Causal diagramming positively influences mental model structure similarity, mental model structure similarity positively influences mental model behaviour similarity, and mental model behaviour similarity positively influences the quality of the decision.