Surbhi Seema Sethi and Kanishk Jain
This study aims to explore the potential benefits of integrating Artificial Intelligence (AI) with Social Emotional Learning (SEL) in educational settings.
Abstract
Purpose
This study aims to explore the potential benefits of integrating Artificial Intelligence (AI) with Social Emotional Learning (SEL) in educational settings.
Design/methodology/approach
A systematic review of emerging AI technologies such as virtual reality, chatbots, sentiment analysis tools, gamification and wearable devices is conducted to assess their applicability in enhancing SEL.
Findings
AI technologies present opportunities for personalized support, increased engagement, empathy development and promotion of well-being within SEL frameworks.
Research limitations/implications
Future research should focus on addressing ethical concerns, fostering interdisciplinary collaborations, conducting longitudinal studies, promoting cultural sensitivity and developing robust ecosystems for AI in SEL.
Originality/value
This study contributes by outlining pathways for leveraging AI to create inclusive and supportive learning environments that nurture students' socio-emotional competencies, preparing them for success in a globally connected world.
Details
Keywords
Astha Sanjeev Gupta and Jaydeep Mukherjee
E-retailers face challenges in adding, engaging and retaining customers. Voice interface is a new and more inclusive modality that provides customers with a hands-free, convenient…
Abstract
Purpose
E-retailers face challenges in adding, engaging and retaining customers. Voice interface is a new and more inclusive modality that provides customers with a hands-free, convenient e-shopping option and is relevant for e-retailers. However, the voice interface is significantly different from the text interface that consumers are accustomed to. This study investigates customer experiences with voice interface for search and selection of products on e-commerce platforms and its subsequent impact on customer engagement and enhanced usage.
Design/methodology/approach
We conducted 34 in-depth interviews with executive management students. For analysis and findings, we used a grounded theory paradigm and thematic analysis.
Findings
Based on in-depth probing and analysis consumers' experiences with voice interfaces in e-commerce platforms, we identified two enablers: customer satisfaction and awe-experience that positively impacted and two inhibitors: risk perceptions and inertia that negatively impacted customer engagement and enhanced usage of voice interface.
Originality/value
Voice interface is transforming the customer journey in the online shopping domain. How customers experience voice interfaces when searching and selecting products on e-commerce platforms impacts their engagement with the platform and their intentions to use voice modality to interact with the e-retailer in the future. The findings substantiate tenets of dual-process theory and found that enabling and inhibiting factors are independent and can coexist. The study identifies the most salient factors that positively and negatively affect customer engagement and enhanced usage of voice interfaces.