The integration of artificial intelligence (AI) tools into research methodologies has transformed the landscape of scientific inquiry. AI technologies, including machine learning algorithms, natural language processing, and data mining, offer unprecedented capabilities to process vast datasets, identify patterns, and generate insights at speeds unattainable by traditional methods. This article explores the rationale for adopting AI tools in research, highlighting their advantages in enhancing efficiency, accuracy, and innovation. Simultaneously, it addresses the ethical challenges that arise from their use, emphasizing the importance of maintaining scientific integrity and responsible AI deployment.

Artificial Intelligence (AI) has rapidly transformed educational landscapes, promising personalized learning, automation of administrative tasks, and enhanced accessibility. However, despite these advantages, the integration of AI in education also presents significant adverse effects. These negative consequences range from ethical concerns and data privacy risks to the degradation of critical thinking skills and the weakening of teacher-student relationships. This article critically examines the detrimental impacts of AI use in education, highlighting the urgent need for cautious and balanced implementation.

Artificial Intelligence (AI) has emerged as a transformative force in education, offering innovative solutions to longstanding challenges in accessibility, quality, and resource management. This article examines the critical role of AI in advancing sustainable education, with a particular focus on the Indian context, where diverse socioeconomic and infrastructural factors shape AI adoption. Drawing on recent research, this paper explores AI’s potential to personalize learning, optimize educational resources, and enhance inclusivity, while addressing the significant challenges of digital infrastructure, data privacy, and teacher preparedness. Policy recommendations and strategic approaches are proposed to harness AI effectively for sustainable educational development.

Every student, from kindergarten all the way through college, needs their parents' help to succeed academically. On the other hand, children's academic performance suffers when parents demand too much without providing enough support. Their academic performance suffers and their stress levels rise when they fail to meet their parents' expectations. In the Indian state of Nagaland, the study's goal was to examine the connection between parental expectations and academic stress among undergraduate students. We used a random sampling technique to get our samples. Empirical data consisting of 178 samples was collected from undergraduate students in Nagaland’ Dimapur and a liker scale questionnaire was used. The DASS-42 scale was used to measure students' mental health condition and student's parental expectations were measured using the High Parental Expectations (HPE) scale. University of Nagaland first-year students reported a strong link between family expectations and academic stress. Academic stress and its subscales (anxiety, depression, and stress) were also shown to be significantly different across the sexes, according to an independent sample t-test.

Sustainable development means that the financial improvement that is directed without the consumption of regular asset. The fame of the idea of manageable advancement has expanded colossally in the present speedy business climate. The public's consciousness of different maintainability challenges all over the planet has additionally expanded, and furthermore the vast majority are knowledgeable in them. The mix ofthe idea of sustainable advancement in administration instruction will help in the production of a manageable culture in our general public, empowering each person to begin acting mindfully and add to positive social change. Psychological well-being as a condition of fruitful exhibition for the duration of the existence course demonstrating physical, intellectual and socioemotional capacities that bring about gainful exercises esteemed critical by one's social network, satisfying social connections and the capacity to rise above moderate psychosocial and ecological issues. The COVID-19 pandemic has constrained numerous schools, colleges, and working environments into lockdown, moving figuring out how to remote and online settings. This paper is focused on online community-oriented remote learning, yet recognizes that different types of remote learning are rehearsed and furthermore talked about the impact of remote learning on the mental health of the students. By improving the mental health of the students, we can increase the pace of sustainable development.

The purpose of this study was to validate the Academic Buoyancy Scale in the Indian setting. The Kapurthala area of Punjab, India, was the site of this test. Data was collected from 260 senior secondary students from different schools in the humanities, science, and commerce programs. Two components of the scale were developed as a result of PFA and CFA. At normalized standards, the estimates of different evaluations were high. In the Indian setting, the tool's dependability was excellent and adequate. The Indian setting was a good fit for this scale.