Research Inspiration

Needs-Based Marketing in the Pet Industry: Applying Maslow’s Hierarchy to Predict Consumer Spending Patterns

Zixuan Zhang — 2025-09-30

The pet industry has witnessed remarkable growth, driven by evolving consumer preferences and the increasing humanization of pets. This study examines needs-based marketing in the pet sector by applying Maslow’s hierarchy of needs to understand and predict consumer spending patterns. The research highlights how pet owners’ purchases extend beyond basic physiological and safety needs, reflecting social belonging, esteem, and self-actualization. From premium nutrition and healthcare to luxury accessories and experiential services, spending choices illustrate the role of emotional and psychological fulfillment. By integrating Maslow’s framework with consumer behavior analysis, the study offers insights into strategic marketing approaches that can enhance brand positioning and foster stronger consumer-pet bonds.

Using new media technology to impart information in preschool education

Fan Qi — 2025-09-30

Preschool education informatization is an essential component of the unavoidable trend toward educational growth that is the digital technology integration into education. In current years, both Local and national governments have prioritized this area by introducing a range of policies designed to guide and accelerate its development. Many regions have also engaged in active exploration, gaining valuable practical experience along the way. As a result, Information on Preschool Education has emerged as a key topic of interest within the education field. This study focuses on the role of new media technologies in promoting preschool education informatization. Using questionnaire surveys and statistical analysis, a random sample of kindergarten teachers from City S was examined to identify the characteristics and advantages of new media in early childhood education and to develop strategies for improving its implementation. Findings indicate that most teachers in City S recognize the positive impact of digital technology across the educational process and show a strong willingness to apply it in their teaching practices. Nonetheless, challenges remain particularly teachers’ limited understanding of educational information technologies and the ongoing need to strengthen the integration between pedagogy and technology.

Perception on Adaptive Teaching-Learning Systems with AI-Powered Pedagogical Approaches Among B.Ed Student Teachers

Gokula Krishnan B — 2025-09-30

This article investigates the perception of B.Ed student teachers regarding adaptive teaching-learning systems integrated with AI-powered pedagogical approaches. As technology continues to reshape education, understanding how future educators perceive and accept such innovations is critical in teaching-learning. The integration of AI-powered pedagogical approaches into the educational site offers possibilities for personalized learning, real-time assessment, enhanced engagement, and broader accessibility. This is a descriptive survey method and involved 274 student-teachers from different B.Ed colleges in Coimbatore, Tamil Nadu. The self-constructed Likert-scale questionnaire was administered to gather data on dimensions such as awareness, usefulness, readiness, challenges, and willingness to use AI in pedagogy. The findings revealed a generally positive perception towards AI-enabled adaptive learning tools. The statistical analysis indicated the significant difference in perception on adaptive teaching-learning systems with AI-powered pedagogical approaches based on the demographic variables (their gender, age, marital status, year of study, location of college, qualification and subject specialization. However, a significant difference was found based on prior knowledge of AI, suggesting that exposure to AI tools contributes to higher acceptance levels. These insights emphasize the need to include AI-related modules in teacher education curricula and to provide targeted training that enhances digital literacy in teaching-learning. This paper helps in educational innovation and calls for systemic integration of AI tools in teacher training to foster future-ready classrooms. The findings support the development of policies and programs that prepare B.Ed student teachers for technology-enhanced teaching and learning.