EXPERIENCES, FRUSTRATIONS, AND BARRIERS, OF IPAD USAGE IN THE SPECIAL EDUCATION: LIFE SKILLS CLASSROOM FROM EDUCATORS PERSPECTIVE

Author(s):  
D. J. Sullivan ◽  
S. Labby ◽  
A. Koptelov ◽  
S. L. Sullivan

The purpose of this mixed methods study was to determine the barriers that special educator teachers encounter when using iPads within the Life Skills classroom. The research investigates the experiences, frustrations, and barriers through educators’ perceptions of iPad implementation. The influence of these issues suggests why iPad usage is not a device that special education classrooms are using in a widespread daily manner. Exploration of iPads as an educational tool and as a communication device is also discussed, along with considerations of other communications systems such as Picture Exchange Communication Systems and Alternative and Augmented Communication Devices is considered. Recommendations for further possible research are also discussed.

2020 ◽  
Vol 11 (04) ◽  
pp. 598-605
Author(s):  
Dana M. Womack ◽  
Michelle R. Hribar ◽  
Linsey M. Steege ◽  
Nancy H. Vuckovic ◽  
Deborah H. Eldredge ◽  
...  

Abstract Background Registered nurses (RNs) regularly adapt their work to ever-changing situations but routine adaptation transforms into RN strain when service demand exceeds staff capacity and patients are at risk of missed or delayed care. Dynamic monitoring of RN strain could identify when intervention is needed, but comprehensive views of RN work demands are not readily available. Electronic care delivery tools such as nurse call systems produce ambient data that illuminate workplace activity, but little is known about the ability of these data to predict RN strain. Objectives The purpose of this study was to assess the utility of ambient workplace data, defined as time-stamped transaction records and log file data produced by non-electronic health record care delivery tools (e.g., nurse call systems, communication devices), as an information channel for automated sensing of RN strain. Methods In this exploratory retrospective study, ambient data for a 1-year time period were exported from electronic nurse call, medication dispensing, time and attendance, and staff communication systems. Feature sets were derived from these data for supervised machine learning models that classified work shifts by unplanned overtime. Models for three timeframes —8, 10, and 12 hours—were created to assess each model's ability to predict unplanned overtime at various points across the work shift. Results Classification accuracy ranged from 57 to 64% across three analysis timeframes. Accuracy was lowest at 10 hours and highest at shift end. Features with the highest importance include minutes spent using a communication device and percent of medications delivered via a syringe. Conclusion Ambient data streams can serve as information channels that contain signals related to unplanned overtime as a proxy indicator of RN strain as early as 8 hours into a work shift. This study represents an initial step toward enhanced detection of RN strain and proactive prevention of missed or delayed patient care.


Author(s):  
Verónica Vidal ◽  
Laura DeThorne

Purpose This mixed-methods study examined the effect of a supports-based intervention on the interactions between John, a 9-year-old minimally speaking autistic student with access to a speech-generating augmentative and alternative communication device, and nonautistic peers in the classroom. Method We used a single-case experimental ABAB design to evaluate the relation between provision of social supports and the frequency of communicative offers between John and one nonautistic peer, Ethan. In addition, we integrated interview data and situated discourse analyses involving a variety of adult and child participants to illustrate the nature of peer interactions both before and during provision of social supports. Results In summary, visual inspection of the single-case data supported a functional relation of moderate effect size between the provision of social support and an increased frequency of communicative offers between John and Ethan. Results from the discourse analysis suggested that social supports led to the (a) emergence of completed turns across peers, (b) flexible use of multimodal communicative resources, and (c) movement toward egalitarian interactions. Conclusions This study is one of the first to provide experimental evidence for a supports-based approach to peer interactions involving a minimally verbal autistic student. Clinical implications focus on encouraging flexible multimodality and adopting a strength-based approach that fosters autistic sociality.


2014 ◽  
Vol 548-549 ◽  
pp. 1402-1406 ◽  
Author(s):  
Da Hu Wang ◽  
Qie Qie Zhang ◽  
Yi Fan Sun

For disadvantages of the present mine voice communication systems, a kind of wireless voice communication system based on Zig Bee is put forward. The paper provides detailed informations about hardware and software of the wireless voice communication device. In the system, adopt CC2530 as RF sending-receiving unit of voice communication node, convert speech signals to digital or analog signals by CSP1027, encode or decode quantized voice data by AMBE voice codec technology and realize voice message two-way wireless communication over the Zig Bee wireless communication protocol IEEE 802.15.4 between voice communication devices. Experiments have shown that voice communication device can get a clear voice and have a high reliability in the effective distance of communication, meet the requirements of voice communication.


2019 ◽  
Vol 28 (3) ◽  
pp. 660-672
Author(s):  
Suzanne H. Kimball ◽  
Toby Hamilton ◽  
Erin Benear ◽  
Jonathan Baldwin

Purpose The purpose of this study was to evaluate the emotional tone and verbal behavior of social media users who self-identified as having tinnitus and/or hyperacusis that caused self-described negative consequences on daily life or health. Research Design and Method An explanatory mixed-methods design was utilized. Two hundred “initial” and 200 “reply” Facebook posts were collected from members of a tinnitus group and a hyperacusis group. Data were analyzed via the LIWC 2015 software program and compared to typical bloggers. As this was an explanatory mixed-methods study, we used qualitative thematic analyses to explain, interpret, and illustrate the quantitative results. Results Overall, quantitative results indicated lower overall emotional tone for all categories (tinnitus and hyperacusis, initial and reply), which was mostly influenced by higher negative emotion. Higher levels of authenticity or truth were found in the hyperacusis sample but not in the tinnitus sample. Lower levels of clout (social standing) were indicated in all groups, and a lower level of analytical thinking style (concepts and complex categories rather than narratives) was found in the hyperacusis sample. Additional analysis of the language indicated higher levels of sadness and anxiety in all groups and lower levels of anger, particularly for initial replies. These data support prior findings indicating higher levels of anxiety and depression in this patient population based on the actual words in blog posts and not from self-report questionnaires. Qualitative results identified 3 major themes from both the tinnitus and hyperacusis texts: suffering, negative emotional tone, and coping strategies. Conclusions Results from this study suggest support for the predominant clinical view that patients with tinnitus and hyperacusis have higher levels of anxiety and depression than the general population. The extent of the suffering described and patterns of coping strategies suggest clinical practice patterns and the need for research in implementing improved practice plans.


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