Vol 14 Issue 4 October 2026-December 2026

Abstract: Artificial intelligence increasingly serves as an advisor in teaching and learning, yet it may be honest or pandering. Users cannot directly observe which type they face. This paper develops the Prince–Minister model to analyze how users should respond to advice from a potentially pandering AI. The user, treated as a prince, faces a binary decision. The AI, treated as a minister, either truthfully reports a private signal or always recommends intervention. The user updates beliefs, chooses an action to minimize expected loss, and may query an independent signal at a cost. The model derives the optimal action rule, query strategy, and equilibrium. It shows that positive AI messages are less trustworthy than negative ones, that querying is most valuable when the decision is uncertain, and that verification is worthwhile only when its benefit exceeds its cost. These results imply that students and teachers should be cautious toward affirmative AI feedback, take critical feedback seriously, verify selectively, and weigh verification costs against benefits. The model offers a decision-theoretic foundation for critical AI literacy, treating AI as an advisor to be evaluated rather than an authority to be obeyed.

Keywords: Prince–Minister model; AI-assisted teaching; pandering AI; advice-taking.

Title: A Study of the Prince–Minister Model for AI-Assisted Teaching

Author: Wenjie Chen, Xun Zheng

International Journal of Interdisciplinary Research and Innovations

ISSN 2348-1218 (print), ISSN 2348-1226 (online)

Vol. 14, Issue 4, October 2026 - December 2026

Page No: 7-13

Research Publish Journals

Website: www.researchpublish.com

Published Date: 15-October-2026

Abstract: This article delves much on the contribution of vegetation and water bodies in the mitigation of climate change problems.  Researches on the climate change phenomenon seem to have been oversubscribed but conclusive resolution to associated risks still need to be sorted out. Research motives on this article have not been out of tranquil interests, but quest to yield globally acceptable mitigation strategies that harmonize life risks brought about by global warming. Global warming is believed to emanate from excessive atmospheric carbon accumulation leading to natural climatic patterns alteration. Disruption of the natural climatic patterns then alter food production processes, leading to non - other than food insecurity. Synthesized search literature dominated by empirical evidences have been coined in the study to yield suggested climate change mitigation strategies. Suggested mitigation strategies are without doubt assumed to proffer sound positive contribution to global food security. Effective carbon sequestration to minimize global warming and investment in the creation of multi-open water sources that create humid micro-climates as a means to cab recurring droughts have also been rigorously suggested. Establishment of open water sources was strongly recommended in communities down to small cluster levels by encouraging policy makers to enforce damming that harnesses excessively lost run-off water. Such water is deemed to alter atmospheric  water vapour of the arid and semi-arid regions and thus creating humid conditions favourable for most food production activities.

Keywords: climate change, food insecurity, mitigation, global warming, carbon sequestration.

Title: EFFECTIVE CARBON SEQUESTRATION AND MICROCLIMATE ALTERATION AS ESSENTIAL CLIMATE CHANGE MITIGATION STRATEGIES

Author: Masimba Gwemende

International Journal of Interdisciplinary Research and Innovations

ISSN 2348-1218 (print), ISSN 2348-1226 (online)

Vol. 14, Issue 4, October 2026 - December 2026

Page No: 1-6

Research Publish Journals

Website: www.researchpublish.com

Published Date: 03-October-2026