This research activity is about artificial intelligence perspectives during an undergraduate research-teaching program and provides an overview of the field of artificial intelligence, core concepts, related taxonomy, and current applications as well as challenges for information science students as well as practitioners. Educational research framework was established and fundamental artificial intelligence approaches have been explored via code samples and investigated for structural components as well as related research methodologies. Then, the study proposes key challenges for current research activities and presents potentially viable future research directions of artificial intelligence. The educational research environment, the research student comprehension levels, and course implementation efforts were evaluated qualitatively and quantitatively to demonstrate the efficacy of the research activity.