Thesis (Ed. D.)--Illinois State University, 1987. / Title from title page screen, viewed August 2, 2005. Dissertation Committee: Max R. Rennels (chair), Harry L. Campbell, Heather Hanlon, Robert E. Stefl. Includes bibliographical references (leaves 54-59) and abstract. Also available in print.

Submitted in partial fulfillment of the requirements for the Degree of Master of Technology: Fashion, Durban Institute of Technology, 2004. / This investigation focuses on the research and development of a Virtual Learning Environment (VLE) on CD-ROM to prepare Fashion students for a digitally-based industry. / M

published_or_final_version / Education / Master / Master of Science in Information Technology in Education

published_or_final_version / Education / Master / Master of Science in Information Technology in Education

This Thesis explores building low cost and reliable portable laboratory infrastructure platform for Logic Design, methods for allowing access to modern test equipment via the internet, and issues related to academic integrity. A comprehensive engineering education, per ABET, requires an equal emphasis on both lecture and laboratory components. The laboratory experience builds and establishes a foundation of skills and experiences that the student cannot obtain through any other means. The laboratory must use modern, pertinent methods and techniques including the use of appropriate tools. This is especially true when it comes to test equipment. Engineering students require and deserve training on and access to modern test equipment in order to obtain better career opportunities. However, providing access to modern and relevant labs requires a significant budget commitment. One way to extend current budgets is to adopt the growing concept of “remote labs.” This approach allows higher utilization of existing (and costly) equipment, it improves an institution’s Return on Investment (ROI), and also can be used to meet the needs of students’ complicated schedules, especially in the case of a “commuter campus,” where a majority of students live off campus. By developing remote labs, both the institution and the students benefit: Institutions increase equipment utilization, and utilize space, budgets and support personnel more efficiently. Students can access a lab whenever and wherever they have internet access. Finally, academic integrity must be protected to ensure the potential of remote laboratories in education. This Thesis presents a design and implementation plan for a low cost Logic Design laboratory infrastructure built and tested over 3 years by over 1,500 Logic Design students; a design and implementation of the infrastructure to include the ability to measure using remote test equipment; and the design of a case (3d printed or laser cut) to encapsulate a USB enabled micro-controller; and a scheme to ensure the academic integrity is maintained for in-person, hybrid and fully online classes. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2018. / FAU Electronic Theses and Dissertations Collection

published_or_final_version / Education / Master / Master of Science in Information Technology in Education

published_or_final_version / abstract / toc / Education / Master / Master of Science in Information Technology in Education

published_or_final_version / abstract / toc / Education / Master / Master of Science in Information Technology in Education

published_or_final_version / abstract / toc / Education / Master / Master of Science in Information Technology in Education

by Lun Ngai-mei, Amy. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves [1-10] (4th gp.)). / Acknowledgment --- p.i / Abstract --- p.ii -iii / Table of Content --- p.iv -viii / List of Tables --- p.vii-viii / List of Figures --- p.viii / Chapter Chapter 1 --- Introduction --- p.1-4 / Chapter 1.1 --- Background of the Study --- p.4-6 / Chapter 1.2 --- Purpose of the Study --- p.7-9 / Chapter 1.3 --- Significance of the Study --- p.9-10 / Chapter 1.4 --- Definition of Terminology --- p.10 / Chapter 1.4.1 --- The Subject of 'Pattern Construction' --- p.11-13 / Chapter 1.4.2 --- CAD systems in the Clothing Industry --- p.13-16 / Chapter 1.4.3 --- The PAD System --- p.17-20 / Chapter Chapter 2 --- Literature Review --- p.21 / Chapter 2.1 --- Educational Innovation & Implementation Evaluation / Chapter 2.1.1 --- Educational Innovation --- p.21-22 / Chapter 2.1.2 --- Implementation --- p.22-27 / Chapter 2.1.3 --- Evaluation --- p.28 / Chapter 2.1.4 --- Conducting Evaluation for an Educational Innovation --- p.29 / Chapter 2.2 --- Evaluation of Instructional Materials --- p.30 / Chapter 2.2.1 --- Conception & Methods in Evaluation of Instructional Systems --- p.30-31 / Chapter 2.2.2 --- An Evaluation Model for Instructional System --- p.32-34 / Chapter 2.3 --- A Model for Computer Software Evaluation --- p.34-36 / Chapter 2.3.1 --- Description of the Model --- p.37-38 / Chapter 2.3.2 --- Methodology used in the Software Evaluation Model --- p.38-39 / Chapter 2.3.3 --- Discussions on the Reiser & Dick Evaluation Model --- p.39-40 / Chapter 2.4 --- Conditions to Evaluating the Implementation of Educational Innovations --- p.41 / Chapter 2.4.1 --- Initial Status of Learners --- p.41 / Chapter 2.4.2 --- Learner Performance after a period of instruction --- p.42 / Chapter 2.4.3 --- Execution of Treatment/Study of Program Implementation --- p.42-43 / Chapter 2.4.4 --- Costs --- p.43 / Chapter 2.4.5 --- Supplemental Information --- p.44 / Chapter 2.5 --- The 'System Approach' to Instructional Design --- p.44-45 / Chapter 2.5.1 --- Definition of Instructional System --- p.45 / Chapter 2.5.2 --- The derivation of an instructional system --- p.46-49 / Chapter 2.5.3 --- Selection of Delivery System --- p.50-52 / Chapter 2.5.4 --- Individualized instruction as a delivery system --- p.53-55 / Chapter 2.6 --- Applications of Computer Technology as Learning Media in a Curriculum / Chapter 2.6.1 --- Computer applications in the Curriculum --- p.55-57 / Chapter 2.6.2 --- Integration of Computers into the Curriculum --- p.57-59 / Chapter 2.6.3 --- Computer Software for Curriculum --- p.59-60 / Chapter 2.6.4 --- Effectiveness of Computer-Based Instruction --- p.60-61 / Chapter 2.7 --- The Four Modes of Experiential Learning --- p.62-63 / Chapter 2.7.1 --- Individual Learning Styles --- p.63-64 / Chapter 2.7.2 --- Relationship between Learning Styles & the Knowledge Structure of Academic Fields --- p.65-66 / Chapter 2.8 --- Summary --- p.66-67 / Chapter Chapter 3 --- Research Methodology --- p.68 / Chapter 3.1 --- Research Design & Procedures --- p.68-73 / Chapter 3.2 --- Research Hypotheses --- p.73 / Chapter 3.2.1 --- Major Hypotheses --- p.73-74 / Chapter 3.2.2 --- Other Hypotheses --- p.74 / Chapter 3.3 --- Research Conditions & Sampling --- p.75 / Chapter 3.3.1 --- Initial Status of Learners/Students --- p.75-76 / Chapter 3.3.2 --- Learning Resources/Conditions --- p.76-77 / Chapter 3.3.3 --- Computer Access Time --- p.77 / Chapter 3.3.4 --- Technical Support --- p.77 / Chapter 3.4 --- Research Variables --- p.78 / Chapter 3.4.1 --- Independent Variables --- p.78-80 / Chapter 3.4.2 --- Dependent Variables --- p.80 / Chapter 3.5 --- Research Instruments --- p.80-82 / Chapter 3.6 --- Statistical Analyses --- p.83-85 / Chapter Chapter 4 --- Results & Discussion --- p.86 / Chapter 4.1 --- Results --- p.86 / Chapter 4.1.1 --- Reliabilities of Research Instruments --- p.86-88 / Chapter 4.1.2 --- Factor Analyses of Pretest & Posttest Questionnaires --- p.88-89 / Chapter 4.1.3 --- Pair t-tests of Achievement Scores before & after treatment --- p.90 / Chapter 4.1.4 --- Analyses of Covariance/Variance on Achievement by Independent Variables --- p.91-94 / Chapter 4.1.5 --- Analyses of Variance on Posttest score by Independent Variables --- p.94 / Chapter 4.1.6 --- Interaction Effects --- p.95 / Chapter 4.2 --- Discussion --- p.96 / Chapter 4.2.1 --- Reliabilities of Research Instruments --- p.96-102 / Chapter 4.2.2 --- The Major Hypotheses --- p.102-103 / Chapter 4.2.3 --- Factors affecting Outcomes of Innovation --- p.104-108 / Chapter 4.2.4 --- Follow-up on the Evaluation Study --- p.108 / Chapter Chapter 5 --- "Conclusion, Limitations & Recommendations" --- p.109 / Chapter 5.1 --- conclusion on the Evaluation Study --- p.110-117 / Chapter 5.2 --- Limitations of the Study --- p.117-120 / Chapter 5.3 --- Suggestions for Further Research --- p.120-123 / Bibliography --- p.Bi-Bx / Appendices / App. I Statistical Results from the Pilot Study / App. II A List of CAD Suppliers / App. III Self-instructional Unit / App. IV Individualized Instructional Course - Blue-print / App. V Kolb's Learning Style Inventory / App. VI Pretest Questionnaire / App. VIIa Computer Interaction Observation Checklist - for individual student / App. VIIb Computer Interaction Observation Checklist - for small group / App. VIII Posttest Questionnaire / Tables / Table 2.1 Alternative perspectives on the Implementation Process --- p.26 / Table 4.1 Reliability Table of Kolb's Learning Style Inventory --- p.86 / Table 4.2 Reliability Table of Pretest Questionnaire --- p.87 / Table 4.3 Reliability Table of Posttest Questionnaire --- p.88 / Table 4.4 Pair t-test on Achievement Scores before & after treatment --- p.90 / Table 4.5 Analysis of Covariance on Achievement after treatment among different groups of subjects categorized by their Demographic Data --- p.91 / Table 4.6 Analysis of Covariance on Achievement after treatment among different groups of subjects categorized by their Entry Characteristics --- p.92 / Table 4.7 Analysis of Variance on Achievement after treatmentamong different groups of subjects categorized by Learning Conditions --- p.93 / Table 4.8 Analysis of Variance on Posttest scores among different groups of subjects categorized by Learners' Response after treatment --- p.94 / Table 4.9 Interaction Effects between ability levels & modes of study --- p.95 / Table 4.10 Distribution of Learners within the Four Dimensions of Kolb's Experiential Learning Figures --- p.99 / Fig. 1.1 Pattern cutting examples of a men's jacket using a CAD system --- p.12 / Fig. 1.2 Diagram showing graded patterns with grade points & sizes --- p.12 / Fig. 1.3 A Production lay-plan shown on a computer screen --- p.13 / Fig. 1.4 A sleeve pattern being digitized --- p.13 / Fig. 1.5 A Designer's Perspective of Clothing/Textile computer programs --- p.16 / Fig. 2.1 curriculum Dimensions & their Relationships in the Implementaion Process --- p.24 / Fig. 2.2 An Evaluation Model for instructional design --- p.33 / Fig. 2.3 An Evaluation Model for computer software --- p.36 / Fig. 2.4 A Flowchart showing the stages of instructional design --- p.49 / Fig. 2.5 A multi-dimensional map outlining the four dimensions of computer technologieis & their attributes --- p.56 / Fig. 2.6 Modes of learning in the experiential learning cycle --- p.62 / Fig. 2.7 Relationship between learning styles & modes of learning --- p.64 / "Fig, 2.8 A typology of academic disciplines" --- p.66 / Fig. 3.1 A modified Evaluation Model for evaluating Multi-media Approach of Instructional System & CAD software --- p.70 / Fig. 4.1 Graph showing Interaction Effects between Ability Levels & Mode of Study --- p.95 / Fig. 4.2 Similarities among Academic Specialities at the University of Illinois --- p.100