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What is Quantitative Data Analysis

Advancing Self-Directed Learning in Higher Education
An analysis method based on the collection of numerical data and the evaluation of these data using various mathematical and statistical methods.
Published in Chapter:
Self-Directed Learning in the Analytical Chemistry Laboratory: Examining Inquiry Skills
Fatma Alkan (Hacettepe University, Turkey)
Copyright: © 2023 |Pages: 34
DOI: 10.4018/978-1-6684-6772-5.ch004
Abstract
Self-directed learning is an approach that includes educational features in which the learner assumes the responsibility of learning and decides what, how, where, and when to learn. Self-directed learning steps are similar to Kolb's experiential learning steps. In experiential learning, students' learning experiences become more meaningful because they are presented with a series of processes or activities such as thinking, observation, and application. The study was designed in a mixed method. The sample group of the research consists of 20 pre-service chemistry teachers. Data were collected with inquiry skills scale and qualitative analyze laboratory form. The difference between the pretest and posttest scores was examined by Wilcoxon Signed Rank test. The qualitative data obtained from the form were analyzed by content analysis. As a result of the research, it was determined that experiential learning is meaningful in improving the inquiry skills of chemistry teacher candidates. The effect of experiential learning on inquiry skills is also supported by other research results.
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Using Web Tools in Lecture: Example of Micro Teaching Lesson
Quantitative data analysis is an analysis method based on the collection of numerical data and the evaluation of these data using various mathematical and statistical methods.
Full Text Chapter Download: US $37.50 Add to Cart
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