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- Genre: Academic theses
- Creators: Davulcu, Hasan
- Member of: Theses and Dissertations
Description
This action research study focused on training for teacher mentors and teacher mentor self-efficacy. Specifically, this project explored the impact participation in a teacher mentor training program and teacher mentor peer shadowing had on teacher mentor self-efficacy. While there is a plethora of literature on teacher self-efficacy, minimal literature exists on the self-efficacy of teacher mentors. Bandura’s self-efficacy theory and cognitive and collaborative apprenticeship provided the foundational body of knowledge in order to understand teacher mentors’ experiences.
This study followed thirty-seven teacher mentors through the first half of the Arizona K12 Center’s Professional Learning Series – Mentor Academy Year 1. Teacher mentors were given a pre-survey upon their first day in the training series, a mid-point survey halfway through the semester and a post-survey at the beginning of the following semester. Teacher mentor self-efficacy data was collected from the surveys and analyzed to determine the impact their participation in the training program had on their self-efficacy. Five random teacher mentors were also selected for interviews. This qualitative data were collected to compliment the quantitative survey data. The second part of the study consisted of interviewing six teacher mentors in a local secondary education school district to gauge the impact the peer mentor shadowing program had on their self-efficacy. Quantitative and qualitative data collected provided insights on the impact these supports had on teacher mentor self-efficacy.
The results of this study indicate the challenge and complexities of being a teacher mentor. The data showed that teacher mentors who lacked training prior to or upon initial entry into their new position of teacher mentor struggled to be effective which negatively affected their self-efficacy. The data also indicated that teacher mentors who participated in the Arizona K12 Center’s mentor training program had greater self-efficacy for their roles. Finally, teacher mentors participating in peer mentor shadowing opportunities found it to be of the greatest impact leading to stronger self-efficacy.
This study followed thirty-seven teacher mentors through the first half of the Arizona K12 Center’s Professional Learning Series – Mentor Academy Year 1. Teacher mentors were given a pre-survey upon their first day in the training series, a mid-point survey halfway through the semester and a post-survey at the beginning of the following semester. Teacher mentor self-efficacy data was collected from the surveys and analyzed to determine the impact their participation in the training program had on their self-efficacy. Five random teacher mentors were also selected for interviews. This qualitative data were collected to compliment the quantitative survey data. The second part of the study consisted of interviewing six teacher mentors in a local secondary education school district to gauge the impact the peer mentor shadowing program had on their self-efficacy. Quantitative and qualitative data collected provided insights on the impact these supports had on teacher mentor self-efficacy.
The results of this study indicate the challenge and complexities of being a teacher mentor. The data showed that teacher mentors who lacked training prior to or upon initial entry into their new position of teacher mentor struggled to be effective which negatively affected their self-efficacy. The data also indicated that teacher mentors who participated in the Arizona K12 Center’s mentor training program had greater self-efficacy for their roles. Finally, teacher mentors participating in peer mentor shadowing opportunities found it to be of the greatest impact leading to stronger self-efficacy.
ContributorsThomsen, Teri (Author) / Kulinna, Pamela (Thesis advisor) / Olson-Stewart, Kelly (Committee member) / Mosco, Michele (Committee member) / Arizona State University (Publisher)
Created2018
Description
This study explored the influence of how the development of self-determination skills affected college students with an Autism Spectrum Disorder (ASD). Five college students who qualified for a university-based disabilities resource program under the category of Autism Spectrum Disorder (ASD) participated in a five session mentoring program over the course of the first 12 weeks of the fall semester. The mentoring program was designed to develop specific self-determination skills, including, self-awareness, self-advocacy, and confidence. Participants engaged in an interactive dialogue, discussing specific skills and experiences, relative to the development of self-determination skills. Pre- and post-surveys, and a post intervention interview indicated that the students reported positive results in describing that mentoring experience, and found the protocol useful in their development of self-determination skills. Implications identified for further application into practice, include (a) a deeper appreciation and review of the participants’ background and experience, (b) the development and implementation of peer-to-peer mentoring, (c) the need for more intentional collaboration with high school partners, (d) the need to expand the skills being developed, and (e), the need to expand the number of services and resources discussed. This study will be used in the exploration of a broader collegiate mentoring program geared towards students with ASD with the purpose of increasing self-determination skills.
ContributorsHarrop, Lance J (Author) / Caterino, Linda C (Thesis advisor) / Puckett, Kathleen (Committee member) / Montoya, Georgeana (Committee member) / Arizona State University (Publisher)
Created2017
Description
Parents fulfill a pivotal role in early childhood development of social and communication
skills. In children with autism, the development of these skills can be delayed. Applied
behavioral analysis (ABA) techniques have been created to aid in skill acquisition.
Among these, pivotal response treatment (PRT) has been empirically shown to foster
improvements. Research into PRT implementation has also shown that parents can be
trained to be effective interventionists for their children. The current difficulty in PRT
training is how to disseminate training to parents who need it, and how to support and
motivate practitioners after training.
Evaluation of the parents’ fidelity to implementation is often undertaken using video
probes that depict the dyadic interaction occurring between the parent and the child during
PRT sessions. These videos are time consuming for clinicians to process, and often result
in only minimal feedback for the parents. Current trends in technology could be utilized to
alleviate the manual cost of extracting data from the videos, affording greater
opportunities for providing clinician created feedback as well as automated assessments.
The naturalistic context of the video probes along with the dependence on ubiquitous
recording devices creates a difficult scenario for classification tasks. The domain of the
PRT video probes can be expected to have high levels of both aleatory and epistemic
uncertainty. Addressing these challenges requires examination of the multimodal data
along with implementation and evaluation of classification algorithms. This is explored
through the use of a new dataset of PRT videos.
The relationship between the parent and the clinician is important. The clinician can
provide support and help build self-efficacy in addition to providing knowledge and
modeling of treatment procedures. Facilitating this relationship along with automated
feedback not only provides the opportunity to present expert feedback to the parent, but
also allows the clinician to aid in personalizing the classification models. By utilizing a
human-in-the-loop framework, clinicians can aid in addressing the uncertainty in the
classification models by providing additional labeled samples. This will allow the system
to improve classification and provides a person-centered approach to extracting
multimodal data from PRT video probes.
skills. In children with autism, the development of these skills can be delayed. Applied
behavioral analysis (ABA) techniques have been created to aid in skill acquisition.
Among these, pivotal response treatment (PRT) has been empirically shown to foster
improvements. Research into PRT implementation has also shown that parents can be
trained to be effective interventionists for their children. The current difficulty in PRT
training is how to disseminate training to parents who need it, and how to support and
motivate practitioners after training.
Evaluation of the parents’ fidelity to implementation is often undertaken using video
probes that depict the dyadic interaction occurring between the parent and the child during
PRT sessions. These videos are time consuming for clinicians to process, and often result
in only minimal feedback for the parents. Current trends in technology could be utilized to
alleviate the manual cost of extracting data from the videos, affording greater
opportunities for providing clinician created feedback as well as automated assessments.
The naturalistic context of the video probes along with the dependence on ubiquitous
recording devices creates a difficult scenario for classification tasks. The domain of the
PRT video probes can be expected to have high levels of both aleatory and epistemic
uncertainty. Addressing these challenges requires examination of the multimodal data
along with implementation and evaluation of classification algorithms. This is explored
through the use of a new dataset of PRT videos.
The relationship between the parent and the clinician is important. The clinician can
provide support and help build self-efficacy in addition to providing knowledge and
modeling of treatment procedures. Facilitating this relationship along with automated
feedback not only provides the opportunity to present expert feedback to the parent, but
also allows the clinician to aid in personalizing the classification models. By utilizing a
human-in-the-loop framework, clinicians can aid in addressing the uncertainty in the
classification models by providing additional labeled samples. This will allow the system
to improve classification and provides a person-centered approach to extracting
multimodal data from PRT video probes.
ContributorsCopenhaver Heath, Corey D (Author) / Panchanathan, Sethuraman (Thesis advisor) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Davulcu, Hasan (Committee member) / Gaffar, Ashraf (Committee member) / Arizona State University (Publisher)
Created2019