Publication Date
2018
Document Type
Dissertation/Thesis
First Advisor
Underwood, Jason||Hung, Wei-Chen
Degree Name
Ph.D. (Doctor of Philosophy)
Legacy Department
Department of Educational Technology, Research and Assessment
LCSH
Educational technology; Instructional systems--Design
Abstract
Even as educational technologies and one-to-one initiatives offer promises of increasing effectiveness and efficiency of learning, the potential impacts on student learning are not being optimized. Despite progress made by interactive learning technologies (ILTs) toward fulfilling the personalized learning dream, they have not yet realized their goal. Based in understandings of cognitive architecture and instructional design theories, this paper explores the notion that an "alternative approach" that combines ILT adaptation and human-provided external instruction is necessary to truly service the highly individual and dynamic needs of learners. Using quantitative methods, the current study examined the impact of the addition of human-provided external instruction on learning with ILTs. Evaluating effects on learning outcomes and instructional efficiency in a suburban public kindergarten setting, the research yields implications for ILT design and implementation that maximizes effectiveness and efficiency of teaching and learning. Findings showed no significant differences in learning outcomes or instructional efficiency based on treatment. Findings suggest current blended learning models are not optimally effective and efficient for all populations and that measures must be taken by ILT designers and practitioners before implementing ILTs with similar populations, based on their unique learner characteristics, such as age, prior exposure, and developmental level. Further implications of findings, limitations of the study, contributions to the field, and recommendations for future research are explored.
Recommended Citation
Davis, Elizabeth O., "The impact of human-provided external instruction on learning with an interactive learning technology" (2018). Graduate Research Theses & Dissertations. 5859.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/5859
Extent
178 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text
Comments
Advisors: Jason Underwood; Wei-Chen Hung.||Committee members: Ying Xie.||Includes illustrations.||Includes bibliographical references.