Developing Learning in Organizations with Innovation Pedagogy Methods

Most jobs include training and communication tasks, but often the people in these jobs lack pedagogical competences to plan, implement and assess learning. This paper aims to discuss how a learning approach called innovation pedagogy developed in higher education can be utilized for learning development in various organizations. The methods presented how to implement innovation pedagogy such as process consultation and train the trainer model can provide added value to develop pedagogical knowhow in organizations and thus support their internal learning and development

The Baby and Infant Screen for Children with Autism Traits: A DSM-5 Update

Interest surrounding the investigation of autism spectrum disorder (ASD) has increased exponentially since it was initially described over a half-century ago. With this passage of time our conceptualization of the ASD diagnosis has undergone multiple changes. An increasing trend in research has been an emphasis on early identification and intervention. This trend has brought about the creation and adaptation of multiple measures designed to inform early ASD diagnosis. Recently, the ASD diagnostic category underwent significant revisions. In response to revisions, it is necessary to adapt preexisting measures to reflect these significant changes in order to maintain diagnostic accuracy. The Baby and Infant Screen for Children with aUtIsm Traits (BISCUIT) is a triad of assessments specifically designed to assess infants and toddlers for ASD, comorbid conditions, and challenging behaviors. Initial investigations of each component of the BISCUIT have demonstrated that they are reliable and valid in the ASD population. However, the current scoring procedures include individuals diagnosed with both Pervasive Developmental Disorder, Not Otherwise Specified (PDD-NOS) and autistic disorder. The recent restructuring of the ASD category has effectively combined the various ASD diagnoses into a single diagnosis. The current studies identified new cutoff scores that reflect recent changes to the ASD diagnosis and maximized diagnostic sensitivity and specificity for each component of the BISCUIT and their individual subscales. Participants were initially separated into two diagnostic groups before being further separated into one of three age cohorts based upon age at time of initial evaluation. This approach allowed for direct comparisons between those with ASD and atypically developing peers while also considering the variable role of development on symptom manifestation. The cutoff scores identified by the current analyses maximized diagnostic sensitivity and specificity. Results of the current analyses are an initial step to demonstrating the utility of the BISCUIT for early identification following the revisions implemented by the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5)

Exploration of comorbid psychopathology symptoms in infants and toddlers with autism spectrum disorders

One area of research in the field of Autism Spectrum Disorders (ASDs) involves efforts to better understand symptom manifestation at earlier points in an individual’s life. Researchers have consistently emphasized the importance of early intervention for children with an ASD, but the determination of the most efficacious treatment approach is often established on a case-by-case basis by taking into consideration an individual’s specific needs. The need for such individualized treatment approaches is accentuated by the high prevalence of comorbid psychopathology within the ASD population. The study of comorbid disorders among young children with ASDs has been hindered by a lack of measures normed for an ASD population, until recently. The development of the Baby and Infant Screen for Children with aUtIsm Traits-Part 2 (BISCUIT-Part 2) assessment battery has provided clinicians with an empirically derived scale designed to assess comorbid psychopathology in young children with ASDs or atypical development. The aim of the present study was to examine the diagnostic and temporal influences on comorbid psychopathology symptoms in infants and toddlers with ASD. Participants were separated into one of three groups based on their diagnoses (i.e., Autistic Disorder [AD], Pervasive Developmental Disorder-Not Otherwise Specified [PDD-NOS], and atypical development without an ASD). Children were assessed with the BISCUIT-Part 2 twice, with the initial and follow up assessment occurring within one of two time intervals; 4 to 8 months, or 9 to 13 months. Results from the current study indicate that children diagnosed with AD exhibit significantly less stable symptoms of comorbid psychopathology. Further, the time between initial and follow up assessments is a significant factor influencing symptom expression. Implications of these findings are discussed

Redesigning education : visions and practices

There is a need for a quick and radical change in education. At present, education is not able to adequately react to changes taking place all around us. Education should provide our students with knowledge, skills and competences as well as develop attitudes and values, which help them to act in the changing world of work and society, bringing them towards a sustainable future. There are numerous publications on development of education, but less on how the changes in education are led and implemented. Additionally, the impacts of the sustainability crisis are usually ignored in the discussion on the development of education: how education should react and ensure competences and attitudes in order to mitigate them

Applying HLS to FPGA Data Preprocessing in the Advanced Particle-astrophysics Telescope

The Advanced Particle-astrophysics Telescope (APT) and its preliminary iteration the Antarctic Demonstrator for APT (ADAPT) are highly collaborative projects that seek to capture gamma-ray emissions. Along with dark matter and ultra-heavy cosmic ray nuclei measurements, APT will provide sub-degree localization and polarization measurements for gamma-ray transients. This will allow for devices on Earth to point to the direction from which the gamma-ray transients originated in order to collect additional data. The data collection process is as follows. A scintillation occurs and is detected by the wavelength-shifting fibers. This signal is then read by an ASIC and stored in an ADC buffer. This buffer is then formatted as a data packet with a meaningful header and stored in memory that is accessible by an FPGA. This is where the data must be preprocessed before being sent on to the CPU for the localization algorithms. This preprocessing includes capacitive memory pedestal subtraction and taking four trigger-relative time integrals per channel. There are 16 channels per ASIC. The HLS implementation of this FPGA data preprocessing seeks to answer the following questions. How well can HLS map this naïve C preprocessing model to an FPGA image? What HLS optimizations are most useful for this application? What are the reported latencies of these optimized models? How much chip area is consumed by each of these designs? How many ASICs can be processed by one FPGA

Effects of Oats and Distiller’s Dried Grains Fibers on Fortification of Asian Noodles – Evaluation of Glycemic Response, Noodle Quality and Nutritional Composition

The objective of this study was to develop Asian wheat noodle formulations enriched with oat flour and corn DDG at 10, 20 and 30 % wheat flour replacement levels and to evaluate the effects of this fiber and protein enrichment on the glycemic response of human subjects. We hypothesized that the addition of high-fiber oats and high-fiber, high-protein DDG will have synergistic effects in lowering the glycemic response in human subjects. In this study, steamed instant Asian noodles were prepared with DDG(D) and oats(OF) in combination with all-purpose wheat flour(W) in the following flour blends: (W:D) 90:10, (W:OF) 90:10, (W:D) 80:20, (W:OF) 80:20, (W:D:OF) 70:10:20 and (W:D:OF) 70:20:10 and control (100% W). The nutrient composition of each flour and type of noodle was determined. A series of 10 different glycemic test were conducted on each of the 7 different kinds of noodles and on a 50g glucose beverage. The control noodles were tested 3 times. Twelve, generally healthy, participants determined by a health screening, were recruited for glycemic testing. Noodles were served to participants in 50g of available carbohydrate sized portions after a 12 hour fast. Capillary blood glucose readings were measured at 0, 15, 30, 45, 60, 90 and 120 minutes using OneTouch Verio glucometers.Sensory testing using 4 different pair test and 4 different triangle tests on control noodle and (W:D) and (W:OF) in ratios of 90:10 and 80:20 noodles were examined using 20 untrained panelist. Sensory tests showed that participants preferred noodles containing oat fortified noodle over the control noodle. The sensory score indicated that oat noodles hold potential for further development and commercialization. Noodles fortified with DDG significantly increased the protein, fiber and total phenolics content and correspondingly lowered the calories and carbohydrate content. To a lesser degree, oat flour also increased the protein, fiber and total phenolics and lowered the calories and carbohydrates content of noodles. Noodles containing 70W:10D:20OF had the lowest glycemic index followed by the control. Noodles containing 20% DDG yielded the highest glycemic index. Overall, the fortified noodles, while reducing glycemic index relative to pure glucose significantly in subjects, did not reveal significant differences between noodle treatments and the all wheat control noodle