A Meta‑analytic Systematic Review and Theory of the Efects of Perceived Listening on Work Outcomes

Navigating conflicts is crucial for promoting positive relationships between pupils, teachers, and parents. The objective of this paper is to present Social- Based Learning and Leadership (SBL), an innovative approach to group dynamics and conflict resolution within the school setting, aiming to foster meaningful relationships and personal and social growth. The methods of SBL focus on group evolution by navigating conflicts rooted in higher needs while balancing the interplay of separation and connection. It proactively embeds prosocial values and conduct into the school culture, with teachers prioritizing the wellbeing of others, fostering shared problem-solving, and positive feedback amid conflicts. Teachers acquire tools to transform the classroom into a “social laboratory” and constructmeaningful partnerships with parents. Practical conflict management within the SBL framework involves dynamic group discussions, shifting fromother blaming to accountability, and reflective group introspection. Experiential learning through crafted case studies and role-plays enhances students’ conflict management skills by fostering perspective-taking and inclusiveness.We conducted a qualitative case study in an SBL training in a school from 2020 to 2023. These conflict management processes allow the school community to reimagine conflict as an invaluable educational opportunity, equipping pupils with essential soft skills for navigating the challenges of the 21st century.

Conversational artificial intelligence (AI) can be harnessed to provide supportive parasocial interactions that rival or even exceed social support from human interactions. High-quality listening in human conversations fosters social connection that heals interpersonal wounds and lessens loneliness. While AI can furnish advice, listening involves the speakers’ perceptions of positive intention, a quality that AI can only simulate. Can such deep-seated support be provided by AI? This research examined two previously siloed areas of knowledge: the healing capabilities of human interpersonal listening, and the potential for AI to produce parasocial experiences of connection. Three experiments (N = 668) addressed this question through manipulating conversational AI listening to test effects on perceived listening, psychological needs, and state loneliness. We show that when prompted, AI could provide high-quality listening, characterized by careful attention and a positive environment for self-expression. More so, AI’s high-quality listening was perceived as better than participants’ average human interaction (Studies 1–3). Receiving high-quality listening predicted greater relatedness (Study 3) and autonomy (Studies 2 and 3) need satisfaction after participants discussed rejection (Study 2–3), loneliness (Study 3), and isolating attitudes (Study 3). Despite this, we did not observe downstream lessening of loneliness typically observed in human interactions, even for those who were high in trait loneliness (Study 3). These findings clearly contrast with research on human interactions and hint at the potential power, but also the limits, of AI in replicating supportive human interactions.