Effects of special educator peer coaching on general educator effectiveness in inclusive classroom settings

This dissertation investigated the effects of a peer coaching relationship between a special education teacher and two general education teachers. More specifically, a two-tier multiple baseline design across subjects was used to evaluate the effects of peer coaching on the general education teachers' use of effective instructional practices (EIPs) and subsequent effects on the engagement rate and academic performance of students with and without disabilities. The peer coaching process included modeling, direct support, and feedback on the use of effective instructional practices including getting student attention, giving specific directions, asking specific questions with wait time, contingent positive reinforcement, positive error correction, precorrection, prompting, and proximity control. A 30-second partial interval recording procedure was used to observe the general education teachers' use of effective instructional practices and student engagement rates. Student participants' academic performance was measured using weekly quizzes. ^ Peer coaching resulted in an overall increase in the teachers' use of EIPs. One general education teacher had a 30% increase in average EIP use from 46% during the baseline phase to 76% during intervention. Student engagement for her two student participants with and without disabilities indicated an increase from 54% to 69% and from 47% to 65% respectively. Results for the second general education teacher indicated a 34% increase in average EIP use from 55% during the baseline to 89% during intervention. Student engagement for the two student participants with and without disabilities in her class increased from 48% to 83% and from 29% to 71% respectively. Student academic performance showed a small increase. In follow-up observations, the effects of peer coaching on teacher use of EIPs and student engagement and academic performance were maintained. ^ The results of this study suggest that using peer coaching to support general education teachers can be an effective method to improve the educational outcomes of students with and without disabilities in general education. Further research is needed to investigate the effects of peer coaching with other special and general educator partnerships and other student participants. ^

Empathy levels of American and Bahamian Special Education graduate students and students in other majors

This study investigated the empathy of Special Education graduate students in the USA and the Bahamas, and of Counseling and Organizational Learning students. About 180 students were administered the Interpersonal Reactivity Index to assess: fantasy, perspective taking, empathetic concern, and personal distress. Significant differences existed by major and country.

Public school administrators' knowledge of special education law

The purpose of this study was to assess the knowledge of public school administrators with respect to special education (ESE) law. The study used a sample of 220 public school administrators. A survey instrument was developed consisting of 19 demographic questions and 20 situational scenarios. The scenarios were based on ESE issues of discipline, due process (including IEP procedures), identification, evaluation, placement, and related services. The participants had to decide whether a violation of the ESE child's rights had occurred by marking: (a) Yes, (b) No, or (c) Undecided. An analysis of the scores and demographic information was done using a two-way analysis of variance, chi-square, and crosstabs after a 77% survey response rate.^ Research questions addressed the administrators' overall level of knowledge. Comparisons were made between principals and assistant principals and differences between the levels of schooling. Exploratory questions were concerned with ESE issues deemed problematic by administrators, effects of demographic variables on survey scores, and the listing of resources utilized by administrators to access ESE information.^ The study revealed: (a) a significant difference was found when comparing the number of ESE courses taken and the score on the survey, (b) the top five resources of ESE information were the region office, school ESE department chairs, ESE teachers, county workshops, and county inservices, (c) problematic areas included discipline, evaluation procedures, placement issues, and IEP due process concerns, (d) administrators as a group did not exhibit a satisfactory knowledge of ESE law with a mean score of 12 correct and 74% of responding administrators scoring in the unsatisfactory level (below 70%), (e) across school levels, elementary administrators scored significantly higher than high school administrators, and (f) a significant implication that assistant principals consistently scored higher than principals on each scenario with a significant difference at the high school level.^ The study reveals a vital need for administrators to receive additional preparation in order to possess a basic understanding of ESE school law and how it impacts their respective schools and school districts so that they might meet professional obligations and protect the rights of all individuals involved. Recommendations for this additional administrative preparation and further research topics were discussed. ^

Effect of an inservice on the teachers' knowledge of general school law, Section 504, and the Meta Consent Decree

It is generally assumed by educators that inservice training will make a significant difference in teacher knowledge of topics related to education. This investigation addressed that assumption by examining the effects of various factors, e.g., amount and timing of inservice training, upon teacher knowledge of educational law. Of special interest was teacher knowledge of the law as it pertained to ethnic and other characteristics of students in urban school settings. This study was deliberately designed to determine which factors should be later investigated in a more deterministic form, e.g., an experimental design.^ The investigation built upon that of Ogletree (1985), Osborne (1996) and others who focused on the importance of teacher development as a method to enhance professional abilities. The main question addressed in this study was, "How knowledgeable are teachers of school law, especially with regard to general school law, the Meta Consent Decree and Section 504 of the Rehabilitation Act of 1973."^ The study participants (N = 302) were from the Dade County School System, the fourth largest in the U.S. The survey design (approved by the System), specified participants from all levels and types of schools and geographic representations. A survey instrument was created, pilot tested, revised and approved for use by the district official representatives. After administration of the instrument, the resultant data was treated by several appropriate tests, e.g., multivariate analysis of variance (ANOVA).^ Several findings emerged from the analysis of the data: in general, teachers did not have sufficient knowledge of school law; factors, such as amount and level of education, and status and position were positively correlated with increased knowledge; factors such as years of experience, gender, race and ethnicity were not correlated with higher levels of knowledge. The most significant, however, was that when teachers had participated in several inservice training experiences, typically workshops, and, when combined with other factors noted above, their knowledge of school law was significantly higher. Specific recommendations for future studies were made. ^

Application of intervention analysis to evaluate the impacts of special events on freeways

In China in particular, large, planned special events (e.g., the Olympic Games, etc.) are viewed as great opportunities for economic development. Large numbers of visitors from other countries and provinces may be expected to attend such events, bringing in significant tourism dollars. However, as a direct result of such events, the transportation system is likely to face great challenges as travel demand increases beyond its original design capacity. Special events in central business districts (CBD) in particular will further exacerbate traffic congestion on surrounding freeway segments near event locations. To manage the transportation system, it is necessary to plan and prepare for such special events, which requires prediction of traffic conditions during the events. This dissertation presents a set of novel prototype models to forecast traffic volumes along freeway segments during special events. Almost all research to date has focused solely on traffic management techniques under special event conditions. These studies, at most, provided a qualitative analysis and there was a lack of an easy-to-implement method for quantitative analyses. This dissertation presents a systematic approach, based separately on univariate time series model with intervention analysis and multivariate time series model with intervention analysis for forecasting traffic volumes on freeway segments near an event location. A case study was carried out, which involved analyzing and modelling the historical time series data collected from loop-detector traffic monitoring stations on the Second and Third Ring Roads near Beijing Workers Stadium. The proposed time series models, with expected intervention, are found to provide reasonably accurate forecasts of traffic pattern changes efficiently. They may be used to support transportation planning and management for special events.

Application of Intervention Analysis to Evaluate the Impacts of Special Events on Freeways

In China in particular, large, planned special events (e.g., the Olympic Games, etc.) are viewed as great opportunities for economic development. Large numbers of visitors from other countries and provinces may be expected to attend such events, bringing in significant tourism dollars. However, as a direct result of such events, the transportation system is likely to face great challenges as travel demand increases beyond its original design capacity. Special events in central business districts (CBD) in particular will further exacerbate traffic congestion on surrounding freeway segments near event locations. To manage the transportation system, it is necessary to plan and prepare for such special events, which requires prediction of traffic conditions during the events. This dissertation presents a set of novel prototype models to forecast traffic volumes along freeway segments during special events. Almost all research to date has focused solely on traffic management techniques under special event conditions. These studies, at most, provided a qualitative analysis and there was a lack of an easy-to-implement method for quantitative analyses. This dissertation presents a systematic approach, based separately on univariate time series model with intervention analysis and multivariate time series model with intervention analysis for forecasting traffic volumes on freeway segments near an event location. A case study was carried out, which involved analyzing and modelling the historical time series data collected from loop-detector traffic monitoring stations on the Second and Third Ring Roads near Beijing Workers Stadium. The proposed time series models, with expected intervention, are found to provide reasonably accurate forecasts of traffic pattern changes efficiently. They may be used to support transportation planning and management for special events.