Effects of Evaluative Feedback on Math Self-efficacy, Grade Self-efficacy, and Math Achievement of Ninth Grade Algebra Students: A Longitudinal Approach

Effects of Evaluative Feedback on Math Self-efficacy, Grade Self-efficacy, and Math Achievement of Ninth Grade Algebra Students: A Longitudinal Approach

Author: Deborah June Burnett Thompson

Publisher:

Published: 2007

Total Pages: 237

ISBN-13: 9780549080282

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The double-blind study used two intact ninth grade high school Algebra One classes for a total sample size of 46. Within each of the classes the participants were assigned randomly to one of three treatment groups: self-referenced feedback, social-referenced feedback, and a control group. Self-referenced feedback compared the student's performance to his or her previous performances. Social-referenced feedback compared the student's performance to that of the other students in the class. The control group did not receive comparative feedback but innocuous comments such as "study your notes before class."


The Effect of Written Feedback on Formative Assessments on Students' Performance in a High School Mathematics Class

The Effect of Written Feedback on Formative Assessments on Students' Performance in a High School Mathematics Class

Author: Tammy L. Garber

Publisher: ProQuest

Published: 2008

Total Pages:

ISBN-13: 9780549924401

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In this study, the performance of students in an Honors Integrated Math Three course who received descriptive, written feedback on formative quizzes was compared with the performance of students who did not receive this feedback on these quizzes. The study employed a quasi-experimental nonequivalent group design in which the researcher taught two sections of this math course. One section was designated as the experimental group (n = 12) and the other was designated as the control group (n = 24). Data was collected via a pretest and posttest and was analyzed using quantitative and qualitative methods. For the quantitative data analysis, an ANOVA was performed on posttest overall mean scores and on the posttest mean scores of each learning goal of the instructional unit. The ANOVA revealed no statistically significant difference between the experimental and control groups' posttest scores. The qualitative data analysis in this study employed the constant comparative method, which involved the coding of both groups of students' responses on the posttest. Three themes appeared in the students' responses. One theme that evolved was that both groups were equally likely to not answer a question or to not provide an explanation in their responses on the posttest. This finding shows that the descriptive, written feedback on formative quizzes did not encourage the participants to take risks on tests. A second theme was that the descriptive, written feedback reduced the variation of the experimental group's responses on the posttest to more specific and focused answers. In particular, students in the experimental group were more likely to use mathematical language and algebraic explanations in their responses than the control group. The last theme was that students in the experimental group demonstrated a better understanding of the relationship between a function's domain and points of discontinuity than the control group. This finding indicates that the descriptive, written feedback influenced the participants' understanding of this relationship.


The Effect of Computer-assisted Intervention Programs on Mathematics Achievement of High School Students in a Virtual School

The Effect of Computer-assisted Intervention Programs on Mathematics Achievement of High School Students in a Virtual School

Author: Brandi Rachelle Robinson

Publisher:

Published: 2020

Total Pages: 93

ISBN-13:

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The United States ranks in the middle of the nations participating in the Programme for International Student Assessment, and secondary education has not seen growth in mathematics achievement since the 1970s. Computer-assisted math education offers a new opportunity to increase mathematical achievement with students. Pearson Education’s MyMathLab has shown promise at the higher education level with enhancing student proficiency in concepts. The purpose of this study was to determine if the use of Math XL, the secondary counterpart to MyMathLab, could increase mathematics achievement, measured by the performance on the end-of-course test for Algebra I and Geometry for high school students in a computer-assisted math intervention program. The quasi-experimental posttest-only study enhanced the current knowledge of MyMathLab/Math XL as a tool for higher education and demonstrated the effects of using it at the secondary level. The sample was taken from high school Algebra I and Geometry students at an online high school in a southern state. A comparison group was created from students meeting the same criteria for the computer-assisted math intervention program who chose not to participate. An analysis of variance was used to test for statistically significant differences in the end-of-course test scores in those students enrolled in a computer-assisted math intervention program and those students not enrolled in a computer-assisted math intervention program. The analysis found no significant difference in the mean between the group enrolled in computer-assisted intervention and those not enrolled.


Visible Learning for Literacy, Grades K-12

Visible Learning for Literacy, Grades K-12

Author: Douglas Fisher

Publisher: Corwin Press

Published: 2016-03-22

Total Pages: 143

ISBN-13: 1506344038

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"Every student deserves a great teacher, not by chance, but by design" — Douglas Fisher, Nancy Frey, & John Hattie What if someone slipped you a piece of paper listing the literacy practices that ensure students demonstrate more than a year’s worth of learning for a year spent in school? Would you keep the paper or throw it away? We think you’d keep it. And that’s precisely why acclaimed educators Douglas Fisher, Nancy Frey, and John Hattie wrote Visible Learning for Literacy. They know teachers will want to apply Hattie’s head-turning synthesis of more than 15 years of research involving millions of students, which he used to identify the instructional routines that have the biggest impact on student learning. These practices are "visible" for teachers and students to see, because their purpose has been made clear, they are implemented at the right moment in a student’s learning, and their effect is tangible. Yes, the "aha" moments made visible by design. With their trademark clarity and command of the research, and dozens of classroom scenarios to make it all replicable, these authors apply Hattie’s research, and show you: How to use the right approach at the right time, so that you can more intentionally design classroom experiences that hit the surface, deep, and transfer phases of learning, and more expertly see when a student is ready to dive from surface to deep. Which routines are most effective at specific phases of learning, including word sorts, concept mapping, close reading, annotating, discussion, formative assessment, feedback, collaborative learning, reciprocal teaching, and many more. Why the 8 mind frames for teachers apply so well to curriculum planning and can inspire you to be a change agent in students’ lives—and part of a faculty that embraces the idea that visible teaching is a continual evaluation of one’s impact on student’s learning. "Teachers, it’s time we embrace the evidence, update our classrooms, and impact student learning in wildly positive ways," say Doug, Nancy, and John. So let’s see Visible Learning for Literacy for what it is: the book that renews our teaching and reminds us of our influence, just in time.