Artificial intelligence (AI) is a transformative force in education. Realizing the full potential of AI in education requires a multidisciplinary and holistic AI literacy framework that can inform research, practice, and policy. This novel ED-AI Lit framework includes six components: Knowledge, Evaluation, Collaboration, Contextualization, Autonomy, and Ethics. This framework stresses the importance of developing a deep understanding of how AI systems function, critically evaluating their implications, and fostering collaborative relationships between individuals and AI.

ED-AI Lit: An Interdisciplinary Framework for AI Literacy in Education

Social Determinants of Perinatal Mental Health

This study aimed to investigate the effect of anti-Mullerian hormone (AMH) on the pregnancy outcome of infertility assisted by IVF/Micro-Insemination/Embryo Transfer Infertility Assistance (IVF/ICSI-ET). A total of 324 patients under the age of 35 who received IVF/ICSI-ET assistance in our center were included in this analysis. AMH levels of these patients were measured by chemiluminescence method and divided into clinical pregnancy group (175 cases) and non-pregnancy group (149 cases) according to the final pregnancy outcome. The relationship between the two groups' pregnancy outcomes and AMH levels was analyzed. The above association was re-evaluated after excluding patients with polycystic ovary syndrome. There was no significant difference in age, body mass index (BMI), follicle-stimulating hormone (FSH), and 2 pronucleus (PN) between clinical and non-clinical pregnancy groups. Compared with the clinical pregnancy group, the level of AMH in the non-pregnancy group was significantly lower (p < 0.05). A higher AMH level was closely related to better IVF/ICSI-ET assisted pregnancy outcome in vitro. After excluding AMH abnormalities, the AMH level was still significantly associated with pregnancy outcomes of in vitro IVF/ICSI-ET-assisted pregnancy. Our results show a correlation between AMH level and pregnancy outcome of in vitro IVF/ICSI-ET assisted pregnancy. For women under age 35, lower AMH levels may be one of the predictors of adverse pregnancy outcomes. For patients with low AMH level, it is suggested to strengthen monitoring to ensure the safety and smoothness of the pregnancy process. 

Higher serum AMH level is associated with better pregnancy outcomes of IVF/ICSI assisted pregnancy in infertile patients under 35 years old.

This study examined associations between participation in virtual support groups for peripartum women and mental health outcomes at follow-up approximately 8 months later.This cross-sectional online survey study assessed 383 women from the Perinatal Experiences and COVID-19 Effects (PEACE) study. Initial participants (T1) were re-contacted (T2) and self-reported mental health symptoms of depression (CES-D), anxiety (GAD-7), and COVID-related grief were assessed at both time points. Participants reported involvement in virtual support groups and their perception of the effectiveness of social media in addressing feelings of loneliness.The majority (62%) of respondents participated in a virtual support group, 99% of whom used informal social media-based groups (e.g. Facebook groups). At initial evaluation, virtual group participants reported higher levels of depressive symptoms (p=0.008) and COVID grief (p=0.004), but not higher levels of anxiety. Across the cohort, self-reported depressive, anxiety, and grief symptoms did not change significantly at follow-up in paired analysis, and virtual group participants did not demonstrate improvement in mental health symptoms.Participation in virtual support groups did not seem to improve mental health outcomes for peripartum women, and most women found social media engagement minimally effective at addressing loneliness. 

Virtual(ly) No Support: Associations between Virtual Support Group Participation and Peripartum Mental Health Outcomes during the COVID-19 Pandemic

For pregnant women, the COVID-19 pandemic has resulted in unprecedented stressors, including uncertainty regarding prenatal care and the long-term consequences of perinatal infection. However, few studies have examined the role of this adverse event on maternal wellbeing and infant socioemotional development following the initial wave of the pandemic when less stringent public health restrictions were in place. The current study addressed these gaps in the literature by first comparing prenatal internalizing symptoms and infant temperament collected after the first wave of the pandemic to equivalent measures in a pre-pandemic sample. Second, associations between prenatal pandemic-related stress and infant temperament were examined. Women who were pregnant during the COVID-19 pandemic endorsed higher pregnancy-specific anxiety relative to the pre-pandemic sample. They also reported greater infant negative emotionality and lower positive affectivity and regulatory capacity at 2 months postpartum. Prenatal infection stress directly predicted infant negative affect. Both prenatal infection and preparedness stress were indirectly related to infant negative emotionality through depression symptoms during pregnancy and at 2 months postpartum. These results have implications for prenatal mental health screening procedures during the pandemic and the development of early intervention programs for infants born to mothers during this adverse event.

COVID-19 pandemic effects: Examining prenatal internalizing symptoms and infant temperament.

Key Points Question Is antenatal COVID-19–related stress associated with postpartum maternal mental health and infant outcomes? Findings In this cohort study of 318 mothers in Australia, the UK, and the US, antenatal COVID-19–related stress was significantly associated with poor postpartum maternal mental health outcomes and increased negative affectivity among infants. Meaning This study suggests that mitigating pandemic-related stressors during pregnancy should be a global public health priority.

Association of Antenatal COVID-19–Related Stress With Postpartum Maternal Mental Health and Negative Affectivity in Infants

Extended reality (XR, including augmented and virtual reality) creates a powerful intersection between information technology and cognitive, clinical, and education sciences. XR technology has long captured the public imagination, and its development is the focus of major technology companies. This article demonstrates the potential of XR to (1) deliver behavioral insights, (2) transform clinical treatments, and (3) improve learning and education. However, without appropriate policy, funding, and infrastructural investment, many research institutions will struggle to keep pace with the advances and opportunities of XR. To realize the full potential of XR for basic and translational research, funding should incentivize (1) appropriate training, (2) open software solutions, and (3) collaborations between complementary academic and industry partners. Bolstering the XR research infrastructure with the right investments and incentives is vital for delivering on the potential for transformative discoveries, innovations, and applications.

Using XR (Extended Reality) for Behavioral, Clinical, and Learning Sciences Requires Updates in Infrastructure and Funding

Long-term memory facilitates spontaneous memory usage through multiple pathways

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Association of Antenatal COVID-19–Related Stress With Postpartum Maternal Mental Health and Negative Affectivity in Infants

Using XR (Extended Reality) for Behavioral, Clinical, and Learning Sciences Requires Updates in Infrastructure and Funding

Long-term memory facilitates spontaneous memory usage through multiple pathways