Objectives, Methods, and Challenges of Applying Intelligent Assessment in Education: A systematic review

With the development of artificial intelligence technology, traditional assessment has been gradually replaced by intelligent assessment. This study systematically reviews research on the use of intelligent assessment in education between 2015 and 2024. 51 papers were finally included and analyzed for the objectives, methods, and challenges of adopting intelligent assessment in educational activities. The results show that the goals of intelligent assessment in education can be grouped into three categories: 1) assessment of students’ competence and knowledge levels; 2) assessment of students’ personality and mental health; and 3) assessment of teaching and learning processes. The studies reviewed used a range of assessment methods to achieve their objectives. These encompassed process-based, student competency-based, and dynamism-based approaches, as well as social media text-based, audio, and video-based assessment methods. Additionally, they employed student assessment-based and teacher performance assessment-based methods. These methods involved designing algorithms, application systems, or scale assessment tools to effectively measure and evaluate various aspects of learning and teaching. The challenges were present in three areas: data collection and processing, adaptation of assessment models, and accuracy and interpretability of assessment results.