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Full-Text Articles in Education
Learning A New Physics Concept By Exploring Analogous Problems : An Instructional Intervention, Joanna Perry Weaver
Learning A New Physics Concept By Exploring Analogous Problems : An Instructional Intervention, Joanna Perry Weaver
Legacy Theses & Dissertations (2009 - 2024)
This study tested the hypothesis that exploratory learning, with and without analogous problems, would improve students’ ability to make connections between conceptually-related topics. In this randomized experiment, undergraduates in introductory physics (N = 171) studied a new topic under three different instructional conditions. Order and type of instruction varied: Two experimental groups explored the concept before hearing a lecture; a control group followed the typical sequence of hearing a lecture before working with the concept. Within the experimental condition, students in the analogy-first group simultaneously explored analogous problems; students in the explore-first group explored only the new problem with a …
Exploring The Relationship Among Students' Preconceptions, Attitudes, And Major, Matthew Dwyer
Exploring The Relationship Among Students' Preconceptions, Attitudes, And Major, Matthew Dwyer
Graduate Research Theses & Dissertations
The Force Concept Inventory, (a multiple-choice classical mechanics exam given as a pre-test within the first two weeks of a course and as a post-test within the last two weeks of a course) is one of the most widely used tools in physics education research. The most basic research, which has been implemented at Northern Illinois University for many years, employs a pre- and post-test structure to observe improvements in students' scores over a semester and is used as a quantitative representation of students' learning over the duration of a course. While many studies have been published about best practices …
Using Machine Learning And Traditional Statistics To Explore Retention And Knowledge Structure In Stem With An Emphasis On Physics, Cabot Alexander Zabriskie
Using Machine Learning And Traditional Statistics To Explore Retention And Knowledge Structure In Stem With An Emphasis On Physics, Cabot Alexander Zabriskie
Graduate Theses, Dissertations, and Problem Reports
Retention of Science, Technology, Engineering, and Mathematics (STEM) students is a serious problem as STEM graduation rates continue to lag the growing demand for the skills taught by these degree programs. Critical to fixing this “leaky pipeline” is investment in improving retention in the first two years of college study and increasing and maintaining the interest of K-12 students in STEM. This thesis will address this in three parts. The first is through evaluation of conceptual tests used to evaluate course improvements to determine the structure student knowledge measured by them. The second part uses machine learning to construct early …