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Full-Text Articles in Education

Delivering The Right Message For Maximum Impact In The Student Enrollment Journey, Ashley Miller Jan 2024

Delivering The Right Message For Maximum Impact In The Student Enrollment Journey, Ashley Miller

University Administration Publications

Meeting today's prospective college students where they are is key to staying ahead of current enrollment challenges. Understanding which messages resonate with which students and at certain parts of the enrollment funnel helps to ensure institutions are getting the right message, to the right student, at the right time in their journey. By utilizing a MaxDiff approach, one can better understand the impact a particular message has compared to others and which combination of messages will ultimately drive action. The maximum difference scaling (MaxDiff) method provides useful guidance on how enrollment professionals can better segment their communication strategies to their …


A User-Centered Mapping Design For Geomorphological Hazard Thematic Map, Su-Min Shen, Yin-Hsuen Chen, Chia-Ming Lo, Mu-Ti Yu, Si-Chin Lin, Sendo Wang, Chih-Hsin Chang, Sheng-Chi Lin Jan 2023

A User-Centered Mapping Design For Geomorphological Hazard Thematic Map, Su-Min Shen, Yin-Hsuen Chen, Chia-Ming Lo, Mu-Ti Yu, Si-Chin Lin, Sendo Wang, Chih-Hsin Chang, Sheng-Chi Lin

University Administration Publications

Numerous studies have concentrated on developing user-centered designs for hazard zone maps but rarely for hazard-oriented geomorphological maps, named as Geomorphological Hazard Thematic Maps (GHTMs) in this study, which provide more detailed information about natural hazards. This study developed a user-centered mapping design for GHTMs for nonexperts in geomorphology. We invited civil engineers and high school educators to evaluate a sample GHTM's design in group and focus group panel interviews. The civil engineers preferred maps with more geomorphological features, whereas the educators preferred simple designs. Both groups indicated that the inclusion of essential facilities and road networks is essential. The …


Deapsecure Computational Training For Cybersecurity Students: Improvements, Mid-Stage Evaluation, And Lessons Learned, Wirawan Purwanto, Yuming He, Jewel Ossom, Qiao Zhang, Liuwan Zhu, Karina Arcaute, Masha Sosonkina, Hongyi Wu Jan 2021

Deapsecure Computational Training For Cybersecurity Students: Improvements, Mid-Stage Evaluation, And Lessons Learned, Wirawan Purwanto, Yuming He, Jewel Ossom, Qiao Zhang, Liuwan Zhu, Karina Arcaute, Masha Sosonkina, Hongyi Wu

University Administration Publications

DeapSECURE is a non-degree computational training program that provides a solid high-performance computing (HPC) and big-data foundation for cybersecurity students. DeapSECURE consists of six modules covering a broad spectrum of topics such as HPC platforms, big-data analytics, machine learning, privacy-preserving methods, and parallel programming. In the second year of this program, to improve the learning experience, we implemented a number of changes, such as grouping modules into two broad categories, "big-data" and "HPC"; creating a single cybersecurity storyline across the modules; and introducing post-workshop (optional) "hackshops." Two major goals of these changes are, firstly, to effectively engage students to maintain …


Advising The Online Student: A Breakout Of Advising Frequency, Preferences, And Satisfaction Of Online Students, Maeghen Macdonald, Brittani Wyskocil Garcia Jan 2020

Advising The Online Student: A Breakout Of Advising Frequency, Preferences, And Satisfaction Of Online Students, Maeghen Macdonald, Brittani Wyskocil Garcia

University Administration Publications

This breakout study reviews the findings of a 2017 study of Penn State University's World Campus undergraduate online students. The study surveyed students to report demographic, academic, preferences, and satisfaction information and sought to develop relationships between these variables by their levels of academic success. This breakout study focuses on the findings related to three of the study's variables: academic advising frequency, interaction preference, and satisfaction of undergraduate online students.