The field of intelligent tutoring systems is moving towards more interactive and immersive learning experiences, with a focus on providing personalized feedback and assessment. Recent developments have shown promising results in using intelligent tutoring systems to improve learning outcomes in areas such as Japanese kanji writing and music theory. These systems have been designed to emulate human instructor feedback and provide real-time assessment, allowing students to target and correct specific deficiencies in their learning. The use of sketch-based interfaces and gesture recognition techniques has also been shown to be effective in enhancing the learning experience. Overall, the field is advancing towards more sophisticated and effective learning tools that can provide personalized support to students. Notable papers include: Maestoso, which introduces an intelligent educational sketching tool for learning music theory, and Hashigo, which presents a next generation sketch interactive system for Japanese kanji. Efficacy of a Computer Tutor that Models Expert Human Tutors also demonstrates significant positive effects on learning outcomes.