Recent Tutoring Session Reviews
"The topic today was revolving around quadratic equations--including adding, multiplying, and solving for 'X'. The student was relatively comfortable with the material, a couple hints proving quite helpful. She has a test tomorrow, so I hope she performs well on that!"
"The topics covered included working with functions: even/odd, maximum/minimums, finding intercepts, piecewise functions, continuous functions (no loops or missing spaces), defining domain and ranges, simplifying. We also covered dividing polynomial equations with remainders. The last topic was not covered and was to be emailed was concerning imaginary numbers. The student struggled most with the first steps of the problems presented, but picked up the concepts quickly. The student was very positive and calm throughout the session. We did not have time for extra practice since the student was reviewing specific problems in preparation for an upcoming exam. I look forward to continuing to work with this student and see him progress in the course and gain more confidence in his math skills! Thank you."
"The tutor continued to assist the student on the addition and subtraction of fractions. In this session, problems consisting of unlike denominators were covered. Only denominators that are multiples of each other were explored. The student was also taught how to subtract or add a whole number with fractions. The tutor explained how to express a whole number as a fraction by dividing it by itself. Working with more than two fractions will be covered next."
"The two students split the lesson. Student A worked on his computer assignment that was completing rational number problems, such as adding/subtracting mixed numbers and decimals. Student B worked on her study guide with estimating and solving multi-digit multiplication."
"The whole session was based on finding correlation denoted as r. This is important for seeing if your model was representing the given data. R is used to see the relationship between the dependent variable and the independence variable. It is far easier to find a good model once out data are more packed. I explained what formula was used to calculate r. You can also find R^2 simply by squaring r. R^2 is the coefficient of determination. Thanks for the opportunity!"
"There is a test on Friday. We went over his worksheet. We dabbled in mathematical properties like association. I assigned him problems to see what he was still having trouble with while I wasn't there."