Research on Effective Teaching based on Students’ Assessment Data Analysis

Effective teaching is an educational ideal. Traditional effective teaching researchers usually use speculative research methods that are based on researcher's subjective judgement and teaching experience. The research results were not supported by objective data so difficult was to identify whether the teaching had been effective or not. However, educational big data can provide support for teaching analysis, diagnosis, and measurable possibilities of effective teaching. Assessment data is a subset of educational big data. It is the learning process and result data generated by students in daily practices and tests. It is normal, easy to collect, and well-structured. Effective teaching based on students' assessment data is personal, accurate, and efficient. This data includes six stages: (1) use a precise positioning teaching starting point, (2) customize learning objectives made individually, (3) select teaching content dynamically, (4) adjust teaching strategies flexibly, (5) use multidimensional evaluation and instant feedback, and (6) recommend personalized learning resources. Above all, this study proposes specific operational strategies for every stage.