The study focused on the role of decision sciences in enhancing education outcomes through integrating artificial intelligence (AI) with the Internet of Things (IoT). The objective was to explore how AI applications and related challenges influence university students' decision-making processes in virtual education which aligns with the decision sciences framework of improving efficiency and accuracy through data and predictive analytics. For this purpose, quantitative data was collected from 100 students through survey instruments using a purposive sampling technique. The descriptive results show that AI can modify content which could promote collaborative learning and also increase the ability of decision making. In other contexts, challenges, like over reliance on AI, limited awareness towards AI, and ethical issues show deeper insights into the curriculum. The integration of IOT offered a promising solution through providing real-time data collection and feedback which could address concerns about bias, over-reliance, and critical thinking. The study with findings contributed that incorporating AI and IoT into educational curriculums could increase decision making, and resource allocation while addressing challenges like over reliance and bias. Research limitations and future directions were also discussed at the end of the study.