Recently, increasing numbers of chatbots have been used in diverse fields, using various languages and technologies. Designing an interactive smart chatbot based on query-response systems in education has emerged as an important challenge in managing online discussion with natural language. This paper presents the SCBHE, which can receive queries from students and deliver responses about educational and administrative support to improve communication and services while decreasing the huge workload in universities. The SCBHE depends on identifying students' intents and extracting contextual information to deliver appropriate responses to students' queries, the framework will assist with decreasing the work burden, as educators will no longer need to repeatedly answer the same questions and explain the same points to various students. The SCBHE was built based on Dialogflow, an artificial intelligence tool introduced by Google. The chatbot was developed using an algorithm with the eight following phases: GUI development, acquisition, preprocessing, extraction, response induction, updating, awareness , and authentication. In this study, handling the SCBHE context information is limited to implementing the first five phases of the proposed algorithm.