Analytical thinking is a skill to unite the initial process, plan solutions, produce solutions, and conclude something to produce conclusions or correct answers. This research aims to 1) determine whether there are differences in students' mathematical, analytical thinking skills between classes that use the Open-ended learning method and classes that use the lecturing method, 2) to find out whether there are mathematical, analytical thinking skills differences between students with high, moderate, and low self-awareness criteria, and 3) to find out whether there is an interaction between Open-ended learning method and self-awareness toward students' mathematical-analytical thinking skills. This research employs a quasi-experimental design. Based on the data and data analysis, this research is mixed-method research, and the design used in this research is the posttest control group design. This research was conducted on students who have studied the Real Analysis Courses. Based on the results of hypothesis testing, it was found out that, first, there are differences in students' mathematical-analytical thinking skills between the class that uses the Open-ended learning method and the class that uses the lecturing method. Second, there are mathematical-analytical thinking skills differences between high, moderate, and low self-awareness criteria. Third, there is no interaction between the Open-ended learning method with self-awareness of students' mathematical-analytical thinking skills.

The purpose of this research is to find out whether there is an influence of learning styles, mathematical disposition, and mathematical anxiety on metacognitive reconstruction in mathematics learning and to know how learning styles, mathematical disposition, andMathematical anxietyaffect metacognitive reconstruction in mathematics learning. This research was conducted using theMixed Method. The data processing in this research uses the Structural Equation Model (SEM) through the application of the Lisrel 8.80 program. Based on the data and research results, it can be concluded that: 1) there is an influence of learning style, mathematical disposition, and mathematical anxietyon metacognitive reconstruction in mathematics learning; 2) students with goodmetacognitive reconstruction prefer visual learning style and have a high mathematical disposition and low level of anxiety. Students with medium metacognitive reconstructions category prefer kinesthetic learning styles andhave a moderate mathematical disposition and moderate levels of anxiety. Students with low metacognitive reconstruction categories prefer audio learning styles and have a low mathematical disposition and a high level of anxiety.