The theoretical and evidence‐based components of whole school approaches: An international scoping review

Background Attention-Deficit/Hyperactivity Disorder (ADHD) is the most common neurodevelopmental disorder in children (Polanczyk, Willcutt, Salum, Kieling, & Rohde, 2014) and is highly comorbid with Autism Spectrum Disorder (ASD) (Green et al., 2015; Kotte et al., 2013). Although it is well established that children with ADHD or ASD and their families experience poorer functioning including child and parent mental health problems, child peer problems, poorer family quality of life (FQoL) and parenting difficulties, it is unknown how comorbid ASD symptoms contribute to child and family functioning in children with ADHD. It is important to understand which comorbidities contribute to poorer child and family functioning to guide treatment planning. Aims This study aimed to examine the prevalence of ASD symptoms in children with ADHD and the association between ASD symptoms and child and family functioning across three connected studies. The specific aims of each study are outlined below. Study 1. To examine the prevalence and type of ASD symptoms (social interaction, communication and stereotyped behaviour) in children with ADHD and non-ADHD controls. Within the ADHD group only, we also examined the relationship between ADHD subtype, hyperactive/impulsive and inattentive symptoms, ADHD symptom severity and child gender and ASD symptom severity. Study 2. To examine the association between ASD symptoms and (a) social functioning; (b) mental health; (c) quality of life and (d) sleep, in children with and without ADHD. Study 3. To examine the association between ASD symptoms (measured dimensionally) in children with and without ADHD and a broad range of family functioning variables and to examine differences between ADHD+ASD, ADHD and control groups on family functioning variables. Methods Participants were 6-10 year old children (164 ADHD; 198 non-ADHD control) attending 43 schools in Melbourne, Australia, who were participating in the Children’s Attention Project. ADHD was assessed in two stages using the parent and teacher Conners’ 3 ADHD index and the Diagnostic Interview Schedule for Children IV (DISC-IV). ASD symptoms were identified using the Social Communication Questionnaire (SCQ). Child functioning measures were social functioning (Strengths and Difficulties Questionnaire (SDQ), mental health (DISC-IV, SDQ), quality of life (QoL: Pediatric Quality of Life Inventory 4.0) and sleep problem severity. Family functioning outcome variables were parent mental health, family quality of life (FQoL), and scales assessing couple conflict, couple support and parenting behaviours. Unadjusted and adjusted linear and logistic regression examined continuous and categorical outcomes, respectively. Results Study 1. Children with ADHD had more ASD symptoms than non-ADHD controls (adjusted mean difference = 4.0, 95% confidence interval (CI) 2.8; 5.3, p < 0.001, effect size = 0.7). Boys with ADHD had greater ASD symptom severity than girls with ADHD (adjusted mean difference = 2.9, 95% CI 0.8; 5.2, p = 0.01, effect size = 0.4). Greater ADHD symptom severity was associated with greater ASD symptom severity (regression co-efficient = 1.6, 95% CI 1.2; 2.0, p < 0.001). No differences were observed by ADHD subtype. Greater hyperactive/impulsive symptoms were associated with greater ASD symptoms (regression coefficient = 1.0; 95% CI 0.0; 2.0, p = 0.04) however, this finding attenuated in adjusted analyses, which accounted for parent educational attainment, socioeconomic status, child internalising and externalising comorbidities (p = 0.45). Study 2. Each standard deviation (SD) increase in SCQ scores was associated with a 6.7 unit reduction in QoL (p < 0.001) and greater parent and teacher-reported peer problems, emotional and conduct problems. For every SD increase in SCQ scores, internalising (OR = 1.8, 95% CI 1.3, 2.6, p = 0.001) and externalising disorders (OR = 1.5, 95% CI 1.1, 2.1, p = 0.02) increased, as did moderate/severe sleep problems (OR = 1.5, 95% CI 1.0, 2.2, p = 0.04). Most findings held in analyses adjusting for socio-demographic factors, ADHD symptom severity, and comorbidities (when not the outcome), with the exception of externalising disorders and sleep problems. Study 3. In unadjusted dimensional analyses, higher ASD symptoms were associated with more couple conflict (p = 0.04) and poorer FQoL for all subscales (p ≤ 0.001), with non-significant trends for less couple support (R2 = 0.10, p = 0.06), more hostile parenting (R2 = 0.02, p = 0.06) and poorer parent mental health (R2 = 0.02, p = 0.07). In adjusted dimensional analyses, higher ASD symptoms were only associated with poorer FQoL, across all subscales only (p ≤ 0.01). The trend association between ASD symptoms and parent mental health attenuated due to meaningful associations with comorbid internalising disorder (p = 0.003) and ADHD symptom severity (p = 0.05). The trend association between ASD symptoms and hostile parenting attenuated due to significant associations with comorbid externalising disorders (p = 0.002), lower parent education attainment (p = 0.03) and greater ADHD symptom severity (p = 0.04). Less couple support attenuated due to a significant association with socioeconomic status (p = 0.004). In unadjusted categorical analyses, parents of children with ADHD+ASD reported more couple conflict (p = 0.04), less couple support (p = 0.001), poorer FQoL (p <0.001) and a non-significant trend for greater mental health difficulties (p = 0.07), compared to the ADHD group. In adjusted categorical analyses, parents of children with ADHD+ASD had poorer parent self-efficacy (p = 0.02), poorer FQoL (p < 0.05) (p < 0.05) and a non-significant trend for less couple support (p = 0.06), compared to parents of children with ADHD. In unadjusted categorical analyses, family functioning was significantly poorer for the ADHD and ADHD+ASD groups, compared to controls for most outcomes (p <0.001). In adjusted categorical analyses, all findings attenuated except FQoL was significantly poorer for the ADHD and ADHD+ASD groups, compared to controls. Conclusion ASD symptoms are common, and associated with poorer functioning in children with ADHD. It is important for clinicians working with children with ADHD to identify and manage ASD symptoms, given that they exacerbate functional impairments in this already vulnerable group. The relationship between ASD symptoms and broader family functioning appears to be largely driven by internalising and externalising disorders, ADHD severity, and socioeconomic status. Poorer FQoL appears to be independently associated with ASD symptoms in children with ADHD.

Background: Many phenotypic studies have estimated the degree of comorbidity between Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), but few have examined the latent, or unobserved, structure of combined ASD and ADHD symptoms. This is an important perquisite toward better understanding the overlap between ASD and ADHD.Methods: We conducted a scoping review of studies that examined the factor or latent class structure of ASD and ADHD symptoms within the same clinical or general population sample.Results: Eight studies met final inclusion criteria. Four factor analysis studies found that ASD and ADHD domains loaded separately and one found that some ASD and ADHD domains loaded together. In the three latent class studies, there were evidence of profiles with high levels of co-occurring ASD and ADHD symptoms.Conclusions: Our scoping review provides some evidence of phenotypic overlap between ASD and ADHD at the latent, or unobserved, level, particularly when using a “person-centered” (latent class analysis) vs. a “variable-centered” (factor analysis) approach.

BackgroundThe continuous performance task (CPT) may help identify coexistent attention deficit hyperactivity disorder (ADHD) in autism spectrum disorder (ASD). The Quantified behavior Test (QbTest) combines a CPT and motion-tracking data to assess ADHD symptoms. This study aimed to evaluate the QbTest performance of children and adolescents with ASD plus ADHD, including estimating the effects of single-dose methylphenidate (MPH). To achieve these aims, (1) the QbTest performances were evaluated in ASD alone, ASD plus ADHD, and ADHD alone, and (2) the effects on the QbTest performance of single-dose MPH before and after intake were estimated across the groups. It was assumed that the ASD plus ADHD performance, including the MPH response, would preferably resemble the performance in ADHD alone, rather than ASD alone.MethodsRetrospective data were analyzed for 482 children and adolescents: 69 with ASD alone, 142 with ASD plus ADHD (ASD/ADHD), and 271 with ADHD alone. For 343 subjects, the QbTest was performed before and up to four hours after a single-dose MPH intake. A summary index of the CPT and motion-capture data was provided for QbTest cardinal parameters.ResultsOf 12 QbTest parameters assessed before given MPH, the ASD/ADHD group had scores in line with the ASD group regarding four parameters and the ADHD group regarding nine parameters. Significant differences between groups were seen with respect to QbInattention (p > 0.05); the lowest scores in ASD and the highest in ADHD. Those with ASD/ADHD and ADHD had similar QbActivity and QbImpulsivity scores, but significantly higher than those with ASD. After MPH intake, scores for QbActivity decreased similarly in ASD/ADHD and ADHD, as well as scores for QbImpulsivity. QbImpulsivity increased in ASD. QbInattention scores decreased similarly in all groups after MPH intake.ConclusionsChildren and adolescents with ASD plus ADHD exhibited more atypical QbTest performances than those with ASD alone, while most of their performances were similar to those observed in ADHD alone. In addition, a single dose of MPH mitigated attention deficits and decreased hyperactivity while improved impulsivity in these children. Prospective studies should further clarify the role of the QbTest in the diagnostic and therapeutic interventions in ASD with ADHD.

Over a half of all proteins are glycosylated, and their proper glycosylation is essential for normal function. Unfortunately, because of structural complexity of nonlinear branched glycans and the absence of genetic template for their synthesis, the knowledge about glycans is lagging significantly behind the knowledge about proteins or DNA. Using a recently developed quantitative high throughput glycan analysis method we quantified components of the plasma N-glycome in 99 children with attention-deficit hyperactivity disorder (ADHD), 81 child and 5 adults with autism spectrum disorder, and a total of 340 matching healthy controls. No changes in plasma glycome were found to associate with autism spectrum disorder, but several highly significant associations were observed with ADHD. Further structural analysis of plasma glycans revealed that ADHD is associated with increased antennary fucosylation of biantennary glycans and decreased levels of some complex glycans with three or four antennas. The design of this study prevented any functional conclusions about the observed associations, but specific differences in glycosylation appears to be strongly associated with ADHD and warrants further studies in this direction.

This study examined the neuropsychological functioning in autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and comorbid ASD and ADHD (ASD + ADHD), using five domains of the Developmental Neuropsychological Assessment (NEPSY): Attention and Executive Functions, Language, Visuospatial Processing, Sensorimotor Functions, and Memory and Learning. The participants were 6- to 12-year-old Egyptian children with ASD (n = 17), ASD + ADHD (n = 15), ADHD (n = 37), and typical development (TD; n = 29). TD children scored highest on the NEPSY domains, then children with ADHD, followed by children with ASD and ASD + ADHD. Children with ASD or ASD + ADHD performed significantly poorer than TD children on all NEPSY domains. Children with ADHD exhibited significantly poorer performance than TD children on NEPSY domains of Attention and Executive Function, Language, and Memory and Learning. Also, both ASD and ASD + ADHD groups scored significantly lower than ADHD group on all other NEPSY domains except Visuospatial Processing. There were no significant differences between ASD and ASD + ADHD groups on NEPSY. Compared to TD children, our results suggest that ADHD symptoms in children with ASD may worsen the ability to plan, hand motor coordination, and memorizing names. Nevertheless, the presence of ADHD symptoms may mitigate the difficulties that children with ASD exhibit in other neuropsychological areas, such as verbal fluency, hand praxis, finger gnosis, and face memory.

Objective:Autism Spectrum Disorders (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) are neurodevelopmental disorders with overlapping symptomatology and shared genetic makeup. Numerous previous studies have investigated ASD and ADHD using resting state functional networks. One functional network of particular interest is the Default Mode Network (DMN), as it has been shown to be abnormal in several mental disorders. Previous studies have investigated the DMN in ASD and ADHD separately but reported mixed trends of increased and decreased functional connectivity (FC) in the DMN in ASD and increased FC in ADHD. Additionally, little studies have investigated executive and attentional network dysfunction in the DMN for ASD and ADHD populations. To better understand the shared characteristics between ASD and ADHD, this study analyzed the DMN FC in children with ASD and ADHD.Participants and Methods:Archival datasets from Autism Brain Imaging Data Exchange (ABIDE)-I and ADHD-200 datasets were used, with 33 ADHD, 35 ASD, and 32 typically developing (TD) males (ages = 7-17 years). After applying a standard pre-processing pipeline, 11 regions of interest (ROIs) from the Dosenbach-160 atlas were examined with 55 ROI pairs generated for the 100 subjects.Results:Significant differences were noted between ASD-ADHD groups in attentional networks and executive functioning networks. Specifically, significant Group x VIQ interactions were noted for FC between the following pairs of regions: medial prefrontal cortex - ventromedial prefrontal cortex, anterior cingulate cortex -ventromedial prefrontal cortex, inferior temporal lobe - ventromedial prefrontal cortex, angular -ventromedial prefrontal cortex, angular -anterior cingulate cortex, inferior temporal lobe -ventrolateral prefrontal cortex, angular -superior frontal lobe, and intraparietal sulcus -superior frontal lobe. In the above FC pairs, FC in ADHD was negatively correlated with VIQ, with no correlation for ASD and positive correlation for TD. Previous literature has indicated that ADHD individuals demonstrate increased executive functioning deficits compared to ASD individuals. This study provides evidence at a neural level for these findings by demonstrating decreased FC trends in ADHD in attentional and executive functioning networks compared to ASD individuals. Group and VIQ main effects demonstrated mixed patterns across the three groups, as well as shared decreased FC in attention/executive networks for both ASD and ADHD groups.Conclusions:In summary, this study found similar findings from previous studies regarding mixed connectivity patterns, as well as shared dysfunction between ASD and ADHD groups. These results help in solidifying the theory that ASD and ADHD share clinical and neural patterns which need to be examined further. Future directions include utilizing more ASD+ADHD comorbid individuals in studies comparing ASD and ADHD FC trends as well as seeking to further understand the neuropsychological and neuroimaging profiles in ASD and ADHD.

Children with Autism Spectrum Disorder (ASD) or Attention Deficit Hyperactivity Disorder (ADHD) have shown an increased risk for violence and victimization. However, research on exposure to multiple forms of victimization in different contexts are scarce. Hence, the current aim is to review the evidence about polyvictimization among children with ASD or ADHD. PsycInfo, ERIC, ERC, Scopus, and PubMed databases were systematically searched until 12 March 2019 to identify empirical studies with reported prevalence rates of at least four forms of victimization among children with ASD or ADHD. A total of 6/1300 articles were included in the review, ranging in sample sizes from 92 to 4114. The reported prevalence rates for polyvictimization were 1.8% and 23.1% for children with ASD and 7.3% for children with ADHD. The results emphasize the high prevalence of violence and victimization, including polyvictimization, among children with ASD or ADHD. Polyvictimization among children with ASD or ADHD is a highly under researched area. Significant knowledge gaps and important methodological considerations that provide important implications for future research include lack of information on cyber bullying, frequency or intensity of victimization, and the failure to include children as informants and to report health outcomes associated with polyvictimization.

BackgroundTo diagnose and manage adults with Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), or their co-occurrence (ADHD + ASD), clinicians must identify specific features that differentiate these diagnostic categories. Self-report questionnaires targeting specific features are widely used and, together with clinical assessments, provide reliable diagnoses. Although affective lability is present in various psychiatric disorders, it lacks specificity when screening for ADHD in the general population, and its discriminant value for ADHD, ASD, and ADHD + ASD has not been studied.MethodsThis study involved 300 adults without intellectual developmental disorder (188 male) who received an ADHD (n = 174), ASD (n = 68), or ADHD + ASD (n = 58) diagnosis after a multidisciplinary consensus decision according to DSM-5 criteria. Before clinical assessment, all patients requesting evaluation for one of these diagnoses completed questionnaires on an online platform. The assessment instruments included a modified version of the Barkley Adult ADHD Rating Scale (BAARS IV) for ADHD, the Autism Spectrum Quotient (AQ) and the Empathy Quotient (EQ) for ASD features, and the Affective Lability Scale (ALS) for affective lability. Total scores and sub-scores of the instruments were compared among the three groups. Additionally, stepwise logistic regression analyses were conducted to identify specific measures that contribute to group discrimination.ResultsResults revealed distinct patterns in symptomatology as expected. The ADHD and the ADHD + ASD groups presented significantly higher ALS total score compared to ASD. Stepwise logistic regression analyses identified specific measures contributing to group differentiation. ASD vs. ADHD + ASD discrimination included BAARS IV current total score and EQ total score. The subscale anger from ALS in addition with BAARS IV past total score and AQ total score were the factors that discriminated ADHD diagnosis from the co-occurrence of ADHD and ASD. Finally, BAARS IV past total score, BAARS IV current inattention, AQ total score, and EQ total score were found to differentiate ADHD from ASD.ConclusionsThe study highlights the significance of incorporating emotional dimensions in diagnostic frameworks and may contribute valuable insights for clinicians differentiating neurodevelopmental conditions.

ABSTRACTBackgroundEarly‐onset neonatal infections are among the most common neonatal diseases. However, the long‐term outcomes of the infections are not well understood.ObjectiveTo study the association between early‐onset neonatal infection and attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD).MethodsA nationwide register‐based cohort study was conducted, including near‐term and term children born between 1997 and 2013 with follow‐up until 2021. An early‐onset infection was defined as an invasive bacterial infection occurring within the first week of life, including both physician‐assigned diagnoses and positive bacterial cultures. ADHD and ASD were defined by diagnoses or prescriptions of relevant medication. Associations between sepsis and the neurodevelopmental disorders were investigated using multivariable Cox regression to estimate adjusted hazard ratios (HR), whereas associations with meningitis were examined using person‐time incidence rate ratios (IRR). Sibling‐matched analyses were also conducted for associations with sepsis.ResultsA total of 981,869 children were included, with 8154 defined as having sepsis and 152 defined as having meningitis. Among these, only 257 children had culture‐positive sepsis, whereas 32 had culture‐positive meningitis. The incidence rate of ADHD and ASD for children with sepsis was 4.5 per 1000 and 3.3 per 1000 person‐years, respectively. Sepsis was associated with an increased adjusted likelihood of both ADHD (HR 1.28, 95% CI 1.17, 1.39) and ASD (HR 1.43, 95% CI 1.30, 1.58). However, sibling‐matched analyses especially attenuated the association with ADHD (HR 1.12, 95% CI 0.93, 1.34). Point estimates suggested that children with meningitis also had an increased likelihood of both ADHD (IRR 1.77, 95% CI 0.88, 3.17) and ASD (IRR 2.05, 95% CI 0.89, 4.04).ConclusionsEarly‐onset sepsis was associated with an increased likelihood of ASD, whereas the majority of the association with ADHD could be explained by unmeasured shared familial confounding.

BackgroundTo provide insight on physicians’ perspectives concerning recent changes in the incidence and diagnostic process of Autism Spectrum Disorder (ASD) compared to other mental and neurodevelopmental disorders.MethodA questionnaire was sent to 191 specialists in child neurology and child development, and 200 child psychiatrists in Israel. Information was collected on professional background, as well as on physicians’ opinions concerning the accuracy and rate of ASD diagnosis compared to that of cerebral palsy (CP), mental illness, and Attention Deficit Hyperactivity Disorder (ADHD). For each closed-ended question, a global chi-square test for categorical variables was performed.Results115 (60.2%) of specialists in child neurology and development, and 59 (29.5%) of child psychiatrists responded. Most physicians (67.2%) indicated that there was a moderate/significant increase in the incidence of ASD, which was higher than similar responses provided for CP (2.9%, p < 0.01) and mental illnesses (14.4%, p < 0.01), and similar to responses provided for ADHD (70.1%, p = 0.56). 52.8% of physicians believed that in more than 10% of clinical assessments, an ASD diagnosis was given despite an inconclusive evaluation (CP: 8.6%, p < 0.01; mental illnesses: 25.8%, p = 0.03; ADHD: 68.4%, p = 0.03).ConclusionThe clinicians perceive both ASD and ADHD as over-diagnosed disorders. The shared symptomology between ASD and other disorders, coupled with heightened awareness and public de-stigmatization of ASD and with the availability of ASD-specific services that are not accessible to children diagnosed with other conditions, might lead clinicians to over-diagnose ASD. It is advisable to adopt an approach in which eligibility for treatments is conditional on function, rather than solely on a diagnosis. The medical community should strive for accurate diagnoses and a continuous review of diagnostic criteria.

Attention problems are common in youngsters with attention deficit hyperactivity disorder (ADHD) as well as in adolescents with combined autism spectrum disorder (ASD) and ADHD. However, it is unknown whether there is psychophysiological overlap and/or a difference in electroencephalogram (EEG) power spectra between ADHD and comorbid ASD and ADHD (ASD + ADHD), on and off stimulant medication. To explore potential differences and overlap, measures of theta and beta power in adolescents diagnosed with ADHD (n = 33) versus adolescents with combined ASD + ADHD (n = 20), categorized by stimulant medication use (57 % of the total sample), were compared. EEG measures were acquired in three conditions: (1) resting state, eyes closed (2) resting state, eyes open and (3) during an oddball task. In addition, performance on the d2 attention test was analyzed. Adolescents with ADHD displayed more absolute theta activity than adolescents with ASD + ADHD during the eyes open and task conditions, independent of stimulant medication use. In addition, only the adolescents with ADHD showed an association between diminished attention test performance and increased theta in the eyes open condition. Results of the current study suggest that although there is behavioral overlap between ADHD characteristics in adolescents with ADHD and adolescents with combined ASD + ADHD, the underlying psychophysiological mechanisms may be different. Adolescents with ASD + ADHD exhibited fewer of the EEG physiological signs usually associated with ADHD, although there was an overlap in attentional problems between the groups. This may indicate that treatments developed for ADHD work differently in some adolescents with ASD + ADHD and adolescents with ADHD only.

M5 - GENETIC OVERLAP BETWEEN ADHD AND ASD IN SHANK GENES IN CHINESE POPULATION

Neurophysiological responses to faces and gaze direction differentiate children with ASD, ADHD and ASD + ADHD

Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are two highly heritable neurodevelopmental disorders. Several lines of evidence point towards the presence of shared genetic factors underlying ASD and ADHD. We conducted genomic analyses of common risk variants (i.e. single nucleotide polymorphisms, SNPs) shared by ASD and ADHD, and those specific to each disorder. With the summary data from two GWAS, one on ASD (N=46,350) and another on ADHD (N=55,374) individuals, we used genomic structural equationmodelling and colocalization analysis to identify SNPs shared by ASD and ADHD and SNPs specific to each disorder. Functional genomic analyses were then conducted on shared and specific common genetic variants. Finally, we performed a bidirectional Mendelian randomization analysis to test whether the shared genetic risk between ASD and ADHD was interpretable in terms of reciprocal relationships between ASD and ADHD. We found that 37.5% of the SNPs associated with ASD (at p<1e-6) colocalized with ADHD SNPs and that 19.6% of the SNPs associated with ADHD colocalized with ASD SNPs. We identified genes mapped to SNPs that are specific to ASD or ADHD and that are shared by ASD and ADHD, including two novel genes INSM1 and PAX1. Our bidirectional Mendelian randomization analyses indicated that the risk of ASD was associated with an increased risk of ADHD and vice versa. Using multivariate genomic analyses, the present study uncovers shared and specific genetic variants associated with ASD and ADHD. Further functional investigation of genes mapped to those shared variants may help identify pathophysiological pathways and new targets for treatment.

Camera, 208 Capitalism, scepticism of policies on education in future based on society with influx of, 42 Carnegie Learning, 251-252 Central government, 92 Challenges to inclusion, 84-85 Change of practice concept, 253 Character qualities of sets in twenty-first century, 25-33 communicative competencies, 28-31 digital competencies, 31-33 'grit' for inclusive and special education teachers, 27-28 high self-efficacy, 25-27 Children, rights and characteristics of, 4-5 Children with disabilities in rural areas in Telangana state, providing services to, 174-177 259 Children with special needs in VUCA world, preparation for education administrators to manage education for, 241-244 Chlorpyrifos, 64-65 City local government, 93-99 Civil rights, 39-40 Classic economic liberal theory, 41-42 Classrooms with assistive technology, improving efficiency of, 250-252 Climate change, 64-65 Collaboration, 180 Collaborative learning, 23-24 Communication, 180 channels, 29-30 disabilities, 211 Communicative competencies, 28-31 Community resource persons (CRPs), 175 Competency-based education, 23-24 Complexity, 80-81 Comprehensive teaching strategies, 236 Computer-assisted tools, 128 Constitution of the Republic of Indonesia (1945), 89-90 Constructive Alignment model, 21 Convention on the Rights of Persons with Disabilities (CRPD), 159 Convention on the Rights of the Child (CRC), 158-159 Conversations, feedback and recognition (CFR), 225 Core educational subjects, 179 COVID-19, 18-19, 118-119, 123-124 crisis, 7-8 inclusive learning for students with special needs during, 108-110 learning experiences during, 114-116 learning experiences of KU