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CHAPTER 1 INTRODUCTION

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Similar to professional development models for teachers, typical professional development models for paraprofessionals often involve didactic training with little or no follow-up support (Carter et al., 2009; Walker & Smith, 2015). Multilevel models of support have also been applied to professional development as a means of providing ongoing support at individualized levels depending on the needs of educators (e.g., Gage et al., 2017; Myers et al., 2011; Sanetti & Collier-Meek, 2015). Similar to multi-level models of student support, targeted professional development provides increasingly intensive support to educators who do not respond to less intensive professional development.

Similarly, teachers received two or three levels of targeted professional development and demonstrated differences in needs. The most recent studies of targeted teacher professional development have examined the effect of different levels of performance feedback on teachers' praise or response opportunities (Gage et al., 2017; Myers et al., 2011; Sanetti & Collier-Meek, 2015). Recent evaluations of training procedures for special education teachers and paraprofessionals have shown that effective professional development models include some level of performance feedback (PF; Brock et al., 2017; Fallon et al., 2015).

CPD through technology can serve as the most intensive level of intervention within a targeted model of professional development for educators. This is the first known investigation of RPF via technology as the more intensive component of a targeted professional development model for paraprofessionals unresponsive to less intensive professional development. The purpose of this study was to determine the effectiveness of a targeted professional development model designed to improve paraprofessionals' fidelity to an academic intervention for students with IDD.

Method

Paraprofessionals were oversampled as it was assumed that not all paraprofessionals would qualify for all phases of the study. Both students demonstrated knowledge of all letter sounds, and none knew phonologically regular words taught in the intervention (eg, ant, mat, top). In both activities, students isolated the first sound of the lesson's target word through decoding and encoding (5 min).

The training videos included a description of the materials needed to complete the four steps of the reading program, modeling of those steps, and instructional tips. Immediately following each observation, the paraprofessional received feedback on supervisory performance, including a specific statement of praise regarding an intervention component listed on the fidelity checklist that she implemented well, a specific corrective statement regarding an intervention component that she could improve or she didn't. and a reminder of where to find the relevant video template. Feedback on supervisory performance was based only on preprofessional fidelity to the intervention and lasted approximately 3–5 minutes per session.

Paraprofessionals who watched training videos, practiced the intervention on their own for a week, received supervisory feedback on performance, and then performed the reading intervention with 85% accuracy or better for three to five observations did not participate in the more intensive elements of the intervention. Instead, I collected maintenance data from these paraprofessionals once a week for the remaining weeks of the study. Research staff concluded the session with a specific statement of praise for an intervention component that they had performed well, a specific statement of correction for an intervention component that could be improved, and a reminder of where to find the appropriate video model.

Each paraprofessional participated in three maintenance observations no less than two and no more than five weeks after their most intensive coaching phase of the study (i.e., supervisory feedback during baseline, or RPF). One participant's data were reanalyzed with two additional fidelity checklists used for other studies of the reading intervention to identify potential sources of measurement error. Weekly examinations included all 40 words or all 24 letter sounds learned during the intervention.

IOA was calculated by item-wise agreement for each item on the fidelity checklist. Two master's student observers were trained to provide supervisory coaching to two of the six participants. At the end of the fidelity checklist, three additional items were listed to assess whether the trainer provided a specific praise statement, a corrective statement, and instructions to view the appropriate video model.

At the end of the intervention phase, the paraprofessional participants answered a short questionnaire about the usefulness, feasibility, and importance of the components of the professional development package they received.

RESULTS

Brittany implemented the intervention with 85% fidelity or higher in six consecutive baseline sessions, Heather in four consecutive baseline sessions, and Angie in three consecutive baseline sessions. Although she showed a score of 84% on the coded video, some completed portions of the lesson were not captured by the recording due to technical issues (i.e. poor internet connection). Since Tina's student showed behavioral challenges when the academic intervention was presented, this paraprofessional chose not to continue with the RPF phase of the study.

During the RPF intervention phase, Carol's fidelity to the intervention increased slightly, although the trend remained relatively stable (range. During the maintenance phase, Angie and Heather maintained fidelity to the intervention at or above the levels they demonstrated at baseline following daily supervision coaching. All participants paraprofessionals completed a social validity survey on the usefulness and feasibility of the academic reading intervention at the student level (see Table 4) and the instructional support they received (see Table 5).

This may be due to the mismatch between the students' skill level and the academic skills targeted by the intervention. Interestingly, the paraprofessional who received the RPF gave the coaching intervention higher social validity scores than. This could be due to an increased number of interactions with the researcher that could have improved the relationship between the two, or perhaps she actually liked receiving RPF.

Brittany's data were reanalyzed using two additional fidelity forms developed for other experimental studies with the same academic intervention to identify differences in data patterns that may be due to measurement error. The first fidelity form (i.e. Paraprofessional Professional Development Pilot, P3) was also based on percentage of intervention steps implemented. The second fidelity form (i.e., Supporting Paraprofessionals by Advancing Reading Intervention Knowledge and Skill, SPARK) used an average of four implementation scores, one for each intervention step, on a scale of 0 – 3.

Brittany's data did not classify her as a nonresponder regardless of the fidelity form used, as her baseline data showed consistently high, relatively stable scores. It can be assumed that reanalysis of the other participants' data with the alternative fidelity forms would yield similar results across fidelity forms. Although paraprofessionals were asked to collect daily student data and weekly progress monitoring data, fidelity to this component of the intervention was poor, resulting in substantial missing data on participants.

Although studies of professional development for instructors should include student data to evaluate the impact of educator-level interventions on student outcomes, no reliable student data were available.

DISCUSSION

Finally, what is the best way to determine who should receive RPF, and whether it should be used as the most intensive form of professional development within a targeted model. The fidelity form used in this study was one of many versions used to evaluate educator fidelity to the intervention in a number of previous studies (e.g. Lemons et al., 2018). RPF should consist of brief, explicit incentives that lead to immediate behavior change (Rock et al., 2009; Scheeler et al., 2004).

Look at familiar words first.” The paraprofessional stops introducing new words, flips through her materials to find previously mastered words, and then presents them to the student. The purported benefits of RPF include the immediacy of error correction for the educator and the discretion with which this can be done to minimize interruptions in instruction (Rock et al., 2009; Scheeler et al., 2004). In the current study, RPF was conceptualized as the most intensive component of a targeted professional development model designed to provide individualized support to paraprofessionals who demonstrated need.

This was consistent with previous studies of targeted professional development that used increasing levels of support for educators who did not respond adequately to less intensive forms of professional development (e.g., Myers et al., 2011; . Schnorr, 2013). It is impossible to know the degree of fidelity to the intervention needed to improve student outcomes without reliable student data. Would that question more effectively evaluate whether the targeted professional development model sufficiently changed teachers' behaviour.

This results in a lack of initial screening data and several cases where the intervention was not well tailored to the student (ie, the intervention was too easy for the student). Since improved student outcomes are the ultimate goal of any professional development model, this lack of data is unfortunate. The variability of a teacher's response to different levels of professional development is not suitable for designing participants with multiple starting points.

It may be preferable to compare different training models with alternating treatment designs, or to conduct group design studies to compare responses to professional development models with different intensity levels (e.g., RPF vs. supervisor feedback). Researchers in previous studies have identified the need to examine several dependent variables when evaluating targeted professional development models (Myers et al., 2011; Schnorr, 2013), and the need to simultaneously assess the impact of each professional development model on student outcomes to evaluate ( Garet et al., 2016 ). Since improved learning outcomes are the ultimate goal of high-quality professional development for teachers, future studies of professional development models should include data on student learning outcomes to ensure that they impact student outcomes.

Effects of a professional development package for preparing paraprofessionals with special education to implement evidence-based practice.

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