Future Directions in Deinstitutionalization and Education: A Delphi Investigation

1986 ◽  
Vol 53 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Joanne W. Putnam ◽  
Robert H. Bruininks

A Delphi survey procedure was used to forecast future events and set goals relative to deinstitutionalization and educational services for handicapped children and youth. Thirty-three persons of varying organizational affiliations, occupations, and geographical locations participated in two rounds of mail surveys. Questionnaires presented forecasts for deinstitutionalization and residential services spanning the entire life cycle and educational services directed more at children and youth below 25 years of age. Among some of the major trends predicted were that the deinstitutionalization movement would not lose momentum and that community-based residential services would increasingly become available to all persons with handicaps. Panelists anticipated that children and youth with handicaps would be educated more in natural environments and situations, but did not foresee a wholesale movement of mildly handicapped students or special education teachers into regular classroom settings in the near future.

Author(s):  
Roberto J. López-Sastre ◽  
Marcos Baptista-Ríos ◽  
Francisco Javier Acevedo-Rodríguez ◽  
Soraya Pacheco-da-Costa ◽  
Saturnino Maldonado-Bascón ◽  
...  

In this paper, we present a new low-cost robotic platform that has been explicitly developed to increase children with neurodevelopmental disorders’ involvement in the environment during everyday living activities. In order to support the children and youth with both the sequencing and learning of everyday living tasks, our robotic platform incorporates a sophisticated online action detection module that is capable of monitoring the acts performed by users. We explain all the technical details that allow many applications to be introduced to support individuals with functional diversity. We present this work as a proof of concept, which will enable an assessment of the impact that the developed technology may have on the collective of children and youth with neurodevelopmental disorders in the near future.


2021 ◽  
Vol 11 (2) ◽  
pp. 195
Author(s):  
Mojgan Gitimoghaddam ◽  
Leigh M. Vanderloo ◽  
Rebecca Hung ◽  
Andrea Ryce ◽  
William McKellin ◽  
...  

This review paper aimed to undertake an extensive exploration of the extent, range, and nature of research activities regarding the effect and emerging evidence in the field of physical activity interventions on cognitive development among children and youth (0–17.99 years) with neurodevelopmental disorders (NDD), and to help identify key gaps in research and determine precise research questions for future investigations. To carry out this scoping review, five electronic databases were searched. A total of 12,097 articles were retrieved via search efforts with an additional 93 articles identified from the identified review papers. Sixty articles were eligible for inclusion. The results of this scoping review revealed many positive key cognitive outcomes related to physical activity including, but not limited to: focus, attention, self-control, cognitive process, and alertness. No studies reported a negative association between physical activity and cognitive outcomes. Based on the findings from this scoping review, physical activity appears to have a favorable impact on the cognitive outcomes of children and youth with NDD.


2021 ◽  
Vol 54 (6) ◽  
pp. 1-35
Author(s):  
Ninareh Mehrabi ◽  
Fred Morstatter ◽  
Nripsuta Saxena ◽  
Kristina Lerman ◽  
Aram Galstyan

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.


2016 ◽  
Vol 33 (S1) ◽  
pp. S68-S68
Author(s):  
H. Blasco-Fontecilla

Objectiveto explore future directions on the assessment of the risk of suicidal behavior (SB).Methodsnarrative review of current and future methods to improving the assessment of the risk of suicidal behavior (SB).ResultsPredicting future SB is a long-standing goal. Currently, the identification of individuals at risk of SB is based on clinician's subjective reports. Unfortunately, most individuals at risk of SB often do not disclose their suicidal thoughts. In the near future, predicting the risk of SB will be enhanced by: (1) introducing objective, reliable measures – i.e. biomarkers – of suicide risk; (2) selecting the most discriminant variables, and developing more accurate measures – i.e. questionnaires – and models for suicide prediction; (3) incorporating new sources of information – i.e. facebook, online monitoring; (4) applying novel methodological instruments such as data mining, or computer adaptive testing; and, (5) most importantly, combining predictors from different domains (clinical, neurobiological and cognitive).ConclusionsGiven the multi-determined nature of SB, a combination of clinical, neuropsychological, biological, and neuroimaging factors, among other might help overcome current limitations in the prediction of SB. Furthermore, given the complexity of prediction of future SB, currently our efforts should be focused on the prevention of SB.Disclosure of interestThe author has not supplied his declaration of competing interest.


2018 ◽  
Vol 6 (1) ◽  
pp. 91-114
Author(s):  
Stefan Hartmann

Abstract This paper investigates the alternation between two competing German future constructions, the werden + Infinitive construction and the futurate present, from a usage-based perspective. Two lines of evidence are combined: On the one hand, a pilot corpus study indicates that werden + Infinitive is more likely to be used for referring to distant-future events than to near-future events. However, syntactic factors seem to be at least as decisive as semantic ones for speakers’ choice between the two constructions. On the other hand, an experimental study taps into language users’ interpretation of sentences framed in one of the two constructions. It can be shown that the grammatical framing does not significantly affect participants’ estimates of the temporal distance of the events to which the stimuli sentences refer. This suggests that the meaning differences between the two constructions be more nuanced, e.g. pertaining to discourse-pragmatic functions.


2021 ◽  
Author(s):  
Yuki Mori ◽  
Tsubasa Hirakawa ◽  
Takayoshi Yamashita ◽  
Hironobu Fujiyoshi

Neuroscience joins the long history of discussions about aesthetics in psychology, philosophy, art history, and the creative arts. In this volume, leading scholars in this nascent field reflect on the promise of neuroaesthetics to enrich our understanding of this universal yet diverse facet of human experience. The volume will inform and stimulate anyone with an abiding interest in why it is that, across time and culture, we respond to beauty, engage with art, and are affected by music and architecture. The volume consists of essays from foundational researchers whose empirical work launched the field. Each essay is anchored to an original, peer-reviewed paper from the short history of this new and burgeoning subdiscipline of cognitive neuroscience. Authors of each essay were asked three questions: (1) What motivated the original paper? (2) What were the main findings or theoretical claims made?, and (3) How do those findings or claims fit with the current state and anticipated near future of neuroaesthetics? Together, these essays establish the territory and current boundaries of neuroaesthetics and identify its most promising future directions. Topics include models of neuroaesthetics and discussions of beauty, art, dance, music, literature, and architecture. The volume targets the general public; it also serves as an important resource for scientists, humanitarians, educators, and newcomers to the field, and it will catalyze interdisciplinary conversations critical to the maturation of this young field.


Author(s):  
Alan Davis ◽  
Leslie Foley

Digital storytelling, especially in the form of short personally-narrated stories first pioneered by the Center for Digital Storytelling in Berkeley in 1993, is a practice that has now expanded throughout English speaking countries and Western Europe, and has a smaller but growing presence in the developing world. This review examines the origins of the practice and early dissemination, and its current uses in community-based storytelling, education, and by cultural institutions. Research regarding the impacts and benefits of digital storytelling and relationships between storytelling, cognition and identity, and mediating technologies are examined. Current issues in the field, including issues of voice, ownership, power relationships, and dissemination are considered, along with possible future directions for research and implications for social practice and policy.


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