Faculty and Staff

Readability formulas are used widely in education, and increasingly in business and government. Over 30 years of research on more than 200 readability formulas has demonstrated moderate to strong predictive correlations with reading comprehension. In this study, five well-known readability formulas correlated highly with each other when applied to selected recent historical articles (N = 22) from two music education research journals. The mean level of difficulty (readability) for all 22 articles was grade 14.04, near the beginning of the second year of college. Since research shows that most people read below their highest completed school grade and also prefer easier materials, this is probably an appropriate level of difficulty for the presumptive readers of these two journals (i.e., holders of undergraduate and graduate degrees). Professors, librarians, and others responsible for guiding students toward reading material at appropriate levels of readability could benefit from these results.

Poster about meeting the academic and cultural needs of international students at the Arizona State University Libraries and the University of Arizona Libraries. The poster presentation focuses on:

1. Strategies to promote information literacy skills of international students in the two university libraries.
2. What the libraries are doing to improve services to meet the needs and encourage library use among international students.
3. Partnerships that have been established with other academic departments or institutions.

Readability formulas are used widely in education, and increasingly in business and government. Over 30 years of research on more than 200 readability formulas has demonstrated moderate to strong predictive correlations with reading comprehension. In this study, five well-known readability formulas correlated highly with each other when applied to selected recent historical articles (N = 22) from two music education research journals. The mean level of difficulty (readability) for all 22 articles was grade 14.04, near the beginning of the second year of college. Since research shows that most people read below their highest completed school grade and also prefer easier materials, this is probably an appropriate level of difficulty for the presumptive readers of these two journals (i.e., holders of undergraduate and graduate degrees). Professors, librarians, and others responsible for guiding students toward reading material at appropriate levels of readability could benefit from these results.

||中文摘要
《音樂教育研究期刊》與《音樂教育歷史研究期刊》中部分文章的閱讀難度水準
Alexandra H. Humphreys
Arizona State University—Phoenix, U.S.A.
Jere T. Humphreys
Arizona State University—Tempe, U.S.A.
可讀性估算公式被廣泛運用在教育領域，而且在商業和政府部門的使用頻率與日俱增。在過去的30 年裏，
研究人員共研發了200 多種可讀性估算公式，這些公式所估算的可讀性指標與實際閱讀理解程度具有中度
或很強的相關性。本文使用了五種著名的可讀性估算公式來評估最近發表的22 篇音樂教育史文章，發現這
五種公式的計算結果有很強的相關性。這22 篇文章的平均閱讀難度水準是14.04， 接近大學二年級初期的
閱讀水準。由於先前的研究结果显示大部分人喜歡閱讀難度水準低於本人學歷水準的文章以及比較容易理
解的文章，這兩種期刊中文章的閱讀難度水準非常適合預計的閱讀對象（有學士學位和研究生學位的人）。
本文研究結果可能會對那些大學教授，圖書館員和其他負責指導學生閱讀的人員有所幫助。

The urban heat island (UHI) phenomenon is a significant worldwide problem caused by rapid population growth and associated urbanization. The UHI effect exacerbates heat waves during the summer, increases energy and water consumption, and causes the high risk of heat-related morbidity and mortality. UHI mitigation efforts have increasingly relied on wisely designing the urban residential environment such as using high albedo rooftops, green rooftops, and planting trees and shrubs to provide canopy coverage and shading. Thus, strategically designed residential rooftops and their surrounding landscaping have the potential to translate into significant energy, long-term cost savings, and health benefits. Rooftop albedo, material, color, area, slope, height, aspect and nearby landscaping are factors that potentially contribute. To extract, derive, and analyze these rooftop parameters and outdoor landscaping information, high resolution optical satellite imagery, LIDAR (light detection and ranging) point clouds and thermal imagery are necessary. Using data from the City of Tempe AZ (a 2010 population of 160,000 people), we extracted residential rooftop footprints and rooftop configuration parameters from airborne LIDAR point clouds and QuickBird satellite imagery (2.4 m spatial resolution imagery). Those parameters were analyzed against surface temperature data from the MODIS/ASTER airborne simulator (MASTER). MASTER images provided fine resolution (7 m) surface temperature data for residential areas during daytime and night time. Utilizing these data, ordinary least squares (OLS) regression was used to evaluate the relationships between residential building rooftops and their surface temperature in urban environment. The results showed that daytime rooftop temperature was closely related to rooftop spectral attributes, aspect, slope, and surrounding trees. Night time temperature was only influenced by rooftop spectral attributes and slope.

This study examines the spatial and temporal patterns of the surface urban heat island (SUHI) intensity in the Phoenix metropolitan area and the relationship with land use land cover (LULC) change between 2000 and 2014. The objective is to identify specific regions in Phoenix that have been increasingly heated and cooled to further understand how LULC change influences the SUHI intensity. The data employed include MODerate-resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) 8-day composite June imagery, and classified LULC maps generated using 2000 and 2014 Landsat imagery. Results show that the regions that experienced the most significant LST changes during the study period are primarily on the outskirts of the Phoenix metropolitan area for both daytime and nighttime. The conversion to urban, residential, and impervious surfaces from all other LULC types has been identified as the primary cause of the UHI effect in Phoenix. Vegetation cover has been shown to significantly lower LST for both daytime and nighttime due to its strong cooling effect by producing more latent heat flux and less sensible heat flux. We suggest that urban planners, decision-makers, and city managers formulate new policies and regulations that encourage residential, commercial, and industrial developers to include more vegetation when planning new construction.

This paper reviews how remotely sensed data have been used to understand the impact of urbanization on global environmental change. We describe how these studies can support the policy and science communities’ increasing need for detailed and up-to-date information on the multiple dimensions of cities, including their social, biological, physical, and infrastructural characteristics. Because the interactions between urban and surrounding areas are complex, a synoptic and spatial view offered from remote sensing is integral to measuring, modeling, and understanding these relationships. Here we focus on three themes in urban remote sensing science: mapping, indices, and modeling. For mapping we describe the data sources, methods, and limitations of mapping urban boundaries, land use and land cover, population, temperature, and air quality. Second, we described how spectral information is manipulated to create comparative biophysical, social, and spatial indices of the urban environment. Finally, we focus how the mapped information and indices are used as inputs or parameters in models that measure changes in climate, hydrology, land use, and economics.