Peer Support: An Intervention To Facilitate Second Language Acquisition In Students With Asperger Syndrome And Primary Language Deficits

This is a study of a peer support program to aid students in secondary school struggling to learn a second language (for college entrance requirements) who have Asperger Syndrone and primary language deficits.

English language learners and standardized testing in an urban senior high school

The primary purpose of this study was to examine the influences of literacy variables on high-stakes test performance including: (a) student achievement on the Metropolitan Achievement Test, Seventh Edition (MAT-7) as correlated to the high-stakes test such as the FCAT examination and (b) the English language proficiency attained by English Language Learners (ELL) students when participating in, or exiting from English Speakers of Other Languages (ESOL) program as determined by the Limited English Proficient (LEP) committee. ^ Two one-sample Chi-square tests were conducted to investigate the relationship between passing the MAT-7 Reading and Language examinations and the FCAT-SSS Reading Comprehension and FCAT-NRT examinations. In addition, 2x2 Analyses of Variance (ANOVAs) were conducted to address the relationship between the time ELL students spent in the ESOL program and the level of achievement on MAT-7 Reading and Language examinations and the FCAT-SSS Reading Comprehension and FCAT-NRT. ^ Findings of this study indicated that more ELL students exit the program based on the LEP committee decisions than by passing the MAT-7. The majority of ELL students failed the 10th grade FCAT, the passing of which is needed for graduation. A significant number of ELL students failed, even when passing the MAT-7 or being duly exited through the decision of the LEP committee. The data also indicated that ELL students who exited the ESOL program in six semesters or fewer had higher FCAT scores than those who exited the program in seven semesters or more. The MAT-7 and the decision of the LEP committee were shown to be ineffective as predictors of success on the FCAT. ^ Further research to determine the length of time a student in the ESOL program uses English to read, write, and speak should be conducted. Additionally, the development of a new assessment instrument to better predict student success should be considered. However, it should be noted that the results of this study are limited to the context in which it was conducted and does not warrant generalizations beyond that context. ^

Principal component analysis and assessment of language network activation patterns in pediatric epilepsy

This dissertation establishes a novel data-driven method to identify language network activation patterns in pediatric epilepsy through the use of the Principal Component Analysis (PCA) on functional magnetic resonance imaging (fMRI). A total of 122 subjects’ data sets from five different hospitals were included in the study through a web-based repository site designed here at FIU. Research was conducted to evaluate different classification and clustering techniques in identifying hidden activation patterns and their associations with meaningful clinical variables. The results were assessed through agreement analysis with the conventional methods of lateralization index (LI) and visual rating. What is unique in this approach is the new mechanism designed for projecting language network patterns in the PCA-based decisional space. Synthetic activation maps were randomly generated from real data sets to uniquely establish nonlinear decision functions (NDF) which are then used to classify any new fMRI activation map into typical or atypical. The best nonlinear classifier was obtained on a 4D space with a complexity (nonlinearity) degree of 7. Based on the significant association of language dominance and intensities with the top eigenvectors of the PCA decisional space, a new algorithm was deployed to delineate primary cluster members without intensity normalization. In this case, three distinct activations patterns (groups) were identified (averaged kappa with rating 0.65, with LI 0.76) and were characterized by the regions of: (1) the left inferior frontal Gyrus (IFG) and left superior temporal gyrus (STG), considered typical for the language task; (2) the IFG, left mesial frontal lobe, right cerebellum regions, representing a variant left dominant pattern by higher activation; and (3) the right homologues of the first pattern in Broca's and Wernicke's language areas. Interestingly, group 2 was found to reflect a different language compensation mechanism than reorganization. Its high intensity activation suggests a possible remote effect on the right hemisphere focus on traditionally left-lateralized functions. In retrospect, this data-driven method provides new insights into mechanisms for brain compensation/reorganization and neural plasticity in pediatric epilepsy.

The role of *language in early childhood mathematics

Math literacy is imperative to succeed in society. Experience is key for acquiring math literacy. A preschooler's world is full of mathematical experiences. Children are continually counting, sorting and comparing as they play. As children are engaged in these activities they are using language as a tool to express their mathematical thinking. If teachers are aware of these teachable moments and help children bridge their daily experiences to mathematical concepts, math literacy may be enhanced. This study described the interactions between teachers and preschoolers, determining the extent to which teachers scaffold children's everyday language into expressions of mathematical concepts. Of primary concern were the teachers' responsive interactions to children's expressions of an implicit mathematical utterance made while engaged in block play. The parallel mixed methods research design consisted of two strands. Strand 1 of the study focused on preschoolers' use of everyday language and the teachers' responses after a child made a mathematical utterance. Twelve teachers and 60 students were observed and videotaped while engaged in block play. Each teacher worked with five children for 20 minutes, yielding 240 minutes of observation. Interaction analysis was used to deductively analyze the recorded observations and field notes. Using a priori codes for the five mathematical concepts, it was found children produced 2,831 mathematical utterances. Teachers ignored 60% of these utterances and responded to, but did not mediate 30% of them. Only 10% of the mathematical utterances were mediated to a mathematical concept. Strand 2 focused on the teacher's view of the role of language in early childhood mathematics. The 12 teachers who had been observed as part of the first strand of the study were interviewed. Based on a thematic analysis of these interviews three themes emerged: (a) the importance of a child's environment, (b) the importance of an education in society, and (c) the role of math in early childhood. Finally, based on a meta-inference of both strands, three themes emerged: (a) teacher conception of math, (b) teacher practice, and (c) teacher sensitivity. Implications based on the findings involve policy, curriculum, and professional development.

Predicting the in-term persistence of community college English-as-a-second-language students

The English-as-a-second-language (ESL) community college student population has increased notably in the past decade, but a decreasing number of these students are completing courses, programs, or degrees (Erisman & Looney, 2008). These students come to college with unique background experiences, and once in college, deal with challenging linguistic, academic, and social integration issues. Though they are not linguistically homogenous, and they do not have a common purpose, ESL students share the common goal of attending community college to learn to speak English (Szelényi & Chang, 2002). Course completion is a primary measure of progress toward that goal, and is therefore an issue of concern for both ESL students and community colleges, which continue to be the access point for language-minority students progressing into higher education (Laden, 2004).^ The purpose of this study was to investigate the factors that predict in-term persistence of community college ESL students. A mixed methods research design consisting of two phases was utilized, and participants in this study were ESL students enrolled in a large community college in south Florida. Phase 1 students completed the Community College ESL Student Questionnaire (CCSEQ), which collected demographic data and data on entry characteristics, academic integration, and social integration. Discriminant and descriptive analyses were used to report the data collected in Phase I. Phase 2 students were a matching cohort of completing and non-completing students who participated in semi-structured interviews at the end of the term. Data collected in the interviews were analyzed thematically, using a constant comparative method as described by Glaser and Strauss (1967).^ Students’ self reported demographic data, background characteristics, goal commitment, and integration factors on the CCSEQ showed no significance between the students who completed the term and the students who did not complete the term. However, several differentiating themes emerged from the interview data, which indicated differences in goal commitment and integration between the two groups. The focus of non-completers on getting good grades rather than completing the course, and the commitment of completers to the goal of finishing the class in order to go forward, both raise questions for future research studies.^

Principal Component Analysis and Assessment of Language Network Activation Patterns in Pediatric Epilepsy

This dissertation establishes a novel data-driven method to identify language network activation patterns in pediatric epilepsy through the use of the Principal Component Analysis (PCA) on functional magnetic resonance imaging (fMRI). A total of 122 subjects’ data sets from five different hospitals were included in the study through a web-based repository site designed here at FIU. Research was conducted to evaluate different classification and clustering techniques in identifying hidden activation patterns and their associations with meaningful clinical variables. The results were assessed through agreement analysis with the conventional methods of lateralization index (LI) and visual rating. What is unique in this approach is the new mechanism designed for projecting language network patterns in the PCA-based decisional space. Synthetic activation maps were randomly generated from real data sets to uniquely establish nonlinear decision functions (NDF) which are then used to classify any new fMRI activation map into typical or atypical. The best nonlinear classifier was obtained on a 4D space with a complexity (nonlinearity) degree of 7. Based on the significant association of language dominance and intensities with the top eigenvectors of the PCA decisional space, a new algorithm was deployed to delineate primary cluster members without intensity normalization. In this case, three distinct activations patterns (groups) were identified (averaged kappa with rating 0.65, with LI 0.76) and were characterized by the regions of: 1) the left inferior frontal Gyrus (IFG) and left superior temporal gyrus (STG), considered typical for the language task; 2) the IFG, left mesial frontal lobe, right cerebellum regions, representing a variant left dominant pattern by higher activation; and 3) the right homologues of the first pattern in Broca's and Wernicke's language areas. Interestingly, group 2 was found to reflect a different language compensation mechanism than reorganization. Its high intensity activation suggests a possible remote effect on the right hemisphere focus on traditionally left-lateralized functions. In retrospect, this data-driven method provides new insights into mechanisms for brain compensation/reorganization and neural plasticity in pediatric epilepsy.