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Assessment in the Education system plays a significant role in judging student performance. The present evaluation system is through human assessment. As the number of teachers’ student ratio is gradually increasing, the manual evaluation process becomes complicated. The drawback of manual evaluation is that it is time-consuming, lacks reliability, and many more. This connection online examination system evolved as an alternative tool for pen and paper-based methods. Present Computer-based evaluation system works only for multiple-choice questions, but there is no proper evaluation system for grading essays and short answers. Many researchers are working on automated essay grading and short answer scoring for the last few decades, but assessing an essay by considering all parameters like the relevance of the content to the prompt, development of ideas, Cohesion, and Coherence is a big challenge till now. Few researchers focused on Content-based evaluation, while many of them addressed style-based assessment. This paper provides a systematic literature review on automated essay scoring systems. We studied the Artificial Intelligence and Machine Learning techniques used to evaluate automatic essay scoring and analyzed the limitations of the current studies and research trends. We observed that the essay evaluation is not done based on the relevance of the content and coherence.

The online version contains supplementary material available at 10.1007/s10462-021-10068-2.

The online version contains supplementary material available at 10.1007/s10462-021-10068-2.This paper develops a threshold-augmented dynamic multi-country model (TGVAR) to quantify the macroeconomic effects of the Covid-19 pandemic. We show that there exist threshold effects in the relationship between output growth and excess global volatility at individual country levels in a significant majority of advanced economies and several emerging markets. We then estimate a more general multi-country model augmented with these threshold effects as well as long term interest rates, oil prices, exchange rates and equity returns to perform counterfactual analyses. We distinguish common global factors from trade-related spillovers, and identify the Covid-19 shock using GDP growth projection revisions of the IMF in 2020Q1. We account for sample uncertainty by bootstrapping the multi-country model estimated over four decades of quarterly observations. Our results show that, without policy support, the Covid-19 pandemic would cause a significant and long-lasting fall in world output, with outcomes that are quite heterogenous across countries and regions. While the impact on China and other emerging Asian economies are estimated to be less severe, the United Kingdom, and several other advanced economies may experience deeper and longer-lasting effects. Non-Asian emerging markets stand out for their vulnerability. We show that no country is immune to the economic fallout of the pandemic because of global interconnections as evidenced by the case of Sweden. We also find that long-term interest rates could temporarily fall below their pre-Covid-19 lows in core advanced economies, but this does not seem to be the case in emerging markets.A quasi-experimental (QE) study is one that compares outcomes between intervention groups where, for reasons related to ethics or feasibility, participants are not randomized to their respective interventions; an example is the historical comparison of pregnancy outcomes in women who did versus did not receive antidepressant medication during pregnancy. QE designs are sometimes used in noninterventional research, as well; an example is the comparison of neuropsychological test performance between first degree relatives of schizophrenia patients and healthy controls. In QE studies, groups may differ systematically in several ways at baseline, itself; when these differences influence the outcome of interest, comparing outcomes between groups using univariable methods can generate misleading results. Multivariable regression is therefore suggested as a better approach to data analysis; because the effects of confounding variables can be adjusted for in multivariable regression, the unique effect of the grouping variable can be better understood. However, although multivariable regression is better than univariable analyses, there are inevitably inadequately measured, unmeasured, and unknown confounds that may limit the validity of the conclusions drawn. Investigators should therefore employ QE designs sparingly, and only if no other option is available to answer an important research question.The COVID-19 pandemic and subsequent lockdown to mitigate the spread of the COVID-19 have resulted in social isolation, reduced social support system, and increased domestic violence (DV) cases against women and children. The governments and NGOs have taken several measures to prevent DV by starting helpline, WhatsApp numbers, and counseling services during the lockdown to safeguard the women. This paper describes a case scenario of how we offered tele-case work consultation during the lockdown period due to the COVID-19 pandemic, the procedure adopted, and preventive measures followed while providing a tailor-made psychosocial intervention to a DV survivor. It also discusses the strengths and challenges while offering tele-consultation and possible steps to overcome the technological barriers to mental health professionals.Chronic medical conditions in children and adolescents have a significant impact on development and quality of life. Children with vitiligo experience depression, anxiety and guilt, body image concerns, and conflicts of acceptance-rejection among peers. Understanding issues of relevance through a developmental perspective is pivotal. Here, we report the experiences of working with an adolescent who presented with depressive symptoms, mood dysregulation, and self-harm, in the background of vitiligo and child sexual abuse. We describe the unique therapeutic challenges, focusing on the interplay between depressive psychopathology, childhood trauma, and normative adolescent development. Therapeutic strategies for patient-centered psychological interventions are discussed. Sodium acrylate datasheet The therapy processes focused on a narrative approach, with the active involvement of the family.

Year 2020 started with global health crisis known as COVID-19. In lack of established tools and management protocols, COVID-19 had become breeding ground for fear and confusion, leading to stigma toward affected individuals.

A cross-sectional study was conducted to estimate prevalence of stigma in discharged COVID-19 patients from a COVID hospital in India. Participants were approached telephonically using a semistructured questionnaire to record their experiences. Questions were asked regarding stigma at six major domains of daily life. Among total 1,673 discharged participants, 600 were conveniently selected and out of them 311 responded on telephonic interviews.

We found that 182 (58.52%) participants (95% CI 53.04-64.00) have self-perceived stigma, 163 (52.41%) participants (95% CI 46.86-57.96) experienced quarantine-related stigma, 222 (71.38%) participants (95% CI 66.36-76.40) experienced neighborhood stigma, 214 (68.81%) participants (95% CI 63.66-73.95) experienced stigma while going out in marketplaces, 180 (57.88%) participants (95% CI 52.39-63.37) experienced stigma at their work place, and 207 (66.56%) participants (95% CI 61.31-71.80) reported stigma experienced by their family members. With a total of 84.5% (95% CI 80.06-88.39) participants experiencing stigma at some domain and about 42.8% of participants facing stigma at all six domains. The commonest noted cause of stigma was fear of getting infected, reported by 184 (59.2%) participants.

This study shows high prevalence of stigma in COVID-19 patients suffering in their common domains of daily lives.

This study shows high prevalence of stigma in COVID-19 patients suffering in their common domains of daily lives.

The internet can cause adverse psychological issues in children whose parents show less competence because of their mental illness. This study aims to find the level of internet addiction among adolescents who have a parent with psychiatric illness and its relationship to the type and duration of their parent’s illness.

This study was conducted among 283 adolescents whose parents suffered from mental illness. They were selected from the inpatient and outpatient services of a neuropsychiatric hospital in India. Informed written consent was obtained from the parent not suffering from psychiatric illness, and a semistructured interview accommodating various factors and statements from the internet addiction test was used to find the level of internet addiction.

A total of 79.5% of adolescents showed scores indicative of internet addiction, with 14.5% of the participants having mild levels of addiction, 60.8% having moderate levels of addiction, and 4.2% having severe levels of addiction. There is a significant relationship between internet addiction scores and the type and duration of psychiatric illness in a parent.

The internet addiction scores in adolescents have a significant relationship to the various types of illnesses and the duration of illness of their parents.

The internet addiction scores in adolescents have a significant relationship to the various types of illnesses and the duration of illness of their parents.

Autism spectrum disorder (ASD) is a complex neurological condition resulting in impaired social interaction and difficulty in understanding verbal and nonverbal communication. Caring for children with ASDs is challenging for both children and their caregivers. The child suffering from ASD starts to show the developmental outcome during early 2.5-3 years and continues thereafter till the child turns to an adult. Many caregivers face severe financial crises, high out-of-pocket healthcare expenses, and unemployment. Previous studies have reported a plethora of psychosocial problems affecting caregivers of children with ASD, ranging from stress, depression, anxiety, restrictions of activities, strain in marital relationships, and diminished physical health.

This article aims to explore the concerns of the caregivers of children suffering from ASD. Aggregate themes were prepared based upon Corley and Gioia’s method of data structuring.

After development and validation of an interview schedule, verbatim of seASD. Health professionals must have an understanding of these problems and must provide the education and information for a better management. Furthermore, the findings of this study have policy implications for the health authorities for providing better health services to children diagnosed with ASD.

Depression is a highly prevalent mental disorder. Maternal depression can adversely impact perinatal outcomes and child development, and can increase mental disorders for children and adolescents. Understanding the impact could lead to opportunities for early intervention and prevention.

We selected 29 mothers attending a tertiary care setting for mental health, who had remitted following a depressive episode, and 35 control mothers. They rated their children’s behavior on the strengths and difficulties questionnaire (SDQ) and temperament measurement schedule (TMS). Using a cross-sectional design, we compared the scores on behavior and temperamental characteristics between the two groups. We also studied if the severity of depression correlated with increased behavioral difficulties and evaluated if there were any differences based on gender or age.

Our results suggest no significant difference in behavior and temperament between the two groups. There was a trend for the children of mothers who had depression to have poor emotionality, higher rhythmicity on TMS, and higher peer relatedness based on SDQ scores.