What can Counselors do to Lessen the Trauma to the DACA Population Caused by the 2016 Election Cycle Rhetoric?

This case study focused on the impact to DACA participants in a mid-western city enrolled at an urban school setting in a region where 30% of all residing immigrants are unauthorized (Capps & Ruiz Soto, 2016). The investigation aimed to understand if the language used during the 2016 election cycle altered trauma-related behaviors in the DACA population. The data collected during the study suggested that students who identified with the DACA group exhibited trauma-related behaviors different from behaviors previously observed, and the new behaviors were a result of election cycle rhetoric. Implications for counselor training were significant.

Download Full-text

Training Preservice Teachers to Match Assistive Technology to Student Needs

Journal of Special Education Technology ◽

10.1177/0162643420918337 ◽

2020 ◽

pp. 016264342091833

Author(s):

Beth A. Jones ◽

Maria Peterson-Ahmad ◽

Melanie Fields ◽

Nichole Williams

Keyword(s):

Preservice Teachers ◽

Assistive Technology ◽

School Setting ◽

Individualized Education Program ◽

Training Session ◽

Teacher Preparation Programs ◽

Preparation Programs ◽

The Impact ◽

Training Case

Understanding how to appropriately choose, implement, and utilize assistive technology (AT) for students on an individualized education program (IEP) is imperative to success within a school setting and has been shown to improve with preservice teachers’ (PST) training. This study investigated the impact that a training session in which PST were exposed to a variety of AT devices/software in one university’s AT lab and given direct instruction in the Student Environment Tasks Tools (SETT) framework for selecting appropriate AT by working through a training case study would have on PST knowledge of AT and its selection. Sixty-eight PST participated in this study, and the results demonstrate that the training increased their ability to name specific AT items on a presurvey ( M = 3.56, SD = 14.88) compared to the postsurvey ( M = 9.57, SD = 25.14). The increase of number of devices and software named pre- and postsurvey was significantly greater than chance, t(67) = −7.64, p < .01). Most notably, participants could name the components of SETT on the postsurvey (94.12%) and apply the SETT framework to a hypothetical student, improving the quality and quantity of recommendations for the student. This study provides further evidence for inclusion of AT in teacher preparation programs.

Download Full-text

School Choice, School Culture and Social Justice: A Canadian Case Study

Journal of Contemporary Issues in Education ◽

10.20355/c5s887 ◽

2011 ◽

Vol 5 (2) ◽

Author(s):

David Ball ◽

Darren Lund

Keyword(s):

Social Justice ◽

School Choice ◽

School Setting ◽

Teaching Staff ◽

Structured Interviews ◽

Policy And Practice ◽

Teachers And Students ◽

Alternative Educational Programs ◽

The Impact

This paper reports on findings from a case study conducted in a public school offering multiple programs of choice. A guiding purpose of the study was to analyze the impact of operating multiple programs of choice in a single school setting on the organizational and lived culture of the school. The urban Alberta school under study offered alternative educational programs in science, Mandarin Immersion, special education and “regular” programs. Multiple methods of data collection followed an ethnographic approach, and included document and policy analysis, field observations, focus groups and semi-structured interviews with administrators, parents, teachers and students from each of the programs. The results reported here focus on related themes of equity and social justice related to analyses of school choice, attending specifically to participants’ understandings of power and privilege, with policy and practice implications. Themes included social class stratifications, marginalization within advantage, perceptions of disempowerment, fragmented school identity, limitations of choice programs, and perceptions of teaching staff quality.

Download Full-text

Learning from 2016: predicting elections through Twitter

10.31235/osf.io/uexsc ◽

2019 ◽

Author(s):

Daniel Stroh ◽

Sebastian Reiserer

Keyword(s):

News Coverage ◽

Hillary Clinton ◽

Election Cycle ◽

The Us ◽

2016 Election ◽

The Media ◽

Us Presidential Election ◽

Twitter Users ◽

To Come

What happened during the news coverage for the 2016 election cycle(s) is a case study that will be studied for years to come. The failure to accurately predict Brexit or Donald Trump’s success in the US presidential election left everybody perplexed as neither, especially the latter, was ever predicted to occur. This research investigates the failures of the media to predict Trump’s election and investigates whether Twitter can be used in the place of existing procedures to correctly predict elections. Data obtained through this research shows that online discussion of Trump by Twitter users was higher than discussion of Hillary Clinton during four critical events leading up to election day. This paper argues that this data can be used to make successful predictions for election outcomes. The findings and conclusion help underscore the importance of this type of research, not only in terms of predicting elections via Twitter, but also in terms of how such insights might benefit the media and its audiences.

Download Full-text