Personalized learning systems in smart education: A review of the literature & pilot feasibility discussion

The traditional one-size-fits-all classroom teaching and learning model that applies the same learning pace, time, curriculum, and environment to every student no longer makes sense in a technology-driven society and digital economy. In the age of Society 5.0, the Internet of Things connects people and devices, and all sorts of knowledge and information are provided instantly when you need it, using smart technologies. The emergence of smart educational technologies or solutions leveraging AI, learning analytics, and other technologies presents many opportunities. Future education should actively introduce these advanced information technologies to teach and help students understand them better. The industrial paradigm of the past has been replaced by a “customized” model of personalized learning. Personalized learning centers around the task of connecting the learner’s previous knowledge, experience, and abilities, with training materials that link that understanding to new information. The purpose of personalized learning is to enable every student to reach their potential by optimizing their learning experience to meet their individual needs. It becomes essential to customize and adapt teaching methods and technologies so that the learning process is better suited to individual learners with their unique learning styles, backgrounds, needs, and previous experiences. To provide support according to the characteristics of individual cognition and propensity, collecting educational big data (learning history portfolio of study logs, essays, work, reports, presentations, etc.) as comprehensive evidence can help the system to provide an optimized learning path for each student. It becomes essential to digitize, analyze, and observe students’ learning situations, and support the realization of learning that is tailored to everyone. This paper focuses on the "Incorporation of personalized learning in classrooms", which is more suitable for learners, and its related technologies, examples of its use, and its characteristics in Society 5.0, a social concept that is one step ahead of the information society. Then, we will introduce a case study of Aizuwakamatsu City’s initiatives, formulate a hypothesis for utilizing this technology in the future, and conduct a feasibility study, and discuss the evaluation.