Solving dynamic and ill-structured problem is one of the most important skills for the 21st century. In addition, people often need to collaborate to solve problems together in real-life. Therefore, it is important to establish the assessments for evaluating both individual and collaborative problem solving ability for K12 students to ensure that the students are ready for dealing with real-life problems when they leave schools. To achieve this goal, learning scientists have designed various simulations to implement interactive and dynamic assessments. On the other hand, some techniques of learning analytics such as regression model, neural network, and hidden markov model have been used to analyze problem solving procedures. The workshop aims for further exploring how learning analytics could facilitate both of individual and collaborative problem-solving assessment through presentation, interactive event and roundtable discussion among the researchers with different backgrounds but the same interest.