Investigating Pre-Service Candidates' Images of Mathematical Reasoning: An In-Depth Online Analysis Of Common Core Mathematics Standards
- NCCU Author/Contributor (non-NCCU co-authors, if there are any, appear on document)
- James Osler, Professor (Creator)
- Institution
- North Carolina Central University (NCCU )
- Web Site: www.nccu.edu/academics/library/
Abstract: Many universities and colleges are increasingly concerned about enhancing the comprehension and knowledge oftheir students, particularly in the classroom. One of the method to enhancing student success is teaching effectiveness.The objective of this research paper is to propose a novel research model which examines the relationship betweenteaching effectiveness and student learning outcomes qualitatively. This new model will use a unique and in–depthqualitative case study methodology especially designed for the instructional setting. The anticipated qualitative datacollecting techniques will include, but not limited to the following: observations, personal interviews, qualitative surveyquestionnaires, research field notes, document review, etc. The proposed Model used assumed data and appliedstatistical Cross–Tabulation and Chi–Square Tests, including a theoretical analysis of the open–ended responses andfield notes recorded from participants (a sample of 32 students presently enrolled in a Semester–long English ENG1200–01 course at a public university in North Carolina). The associative statistical findings found a positive relationshipbetween the teaching effectiveness and student learning. The outcomes of the study will increase the current lack of information on the use of qualitative research designs by determining teaching efficacy and its effects on studentachievement. This new model expands the existing measures by providing new measures to examine the teaching effectiveness and its effect on student learning.
Additional Information
- Publication
- Journal on School Educational Technology
- Language: English
- Date: 2013
- Keywords
- Case Study Design, Student Ratings of Instruction, Validity, Reliability, Cross–Tabulation, Chi–Square, Field Notes, Qualitative Data Analysis Software