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For a variety of reasons, the districts, educators, and students of the largest cities in the United States garner substantial popular and scholarly attention. In the discourse and debate related to urban education, policymakers and researchers often cite accounts and articles derived from these larger urban areas. Yet, we found that school districts educating 47,700 or fewer students accounted for 61 percent of students educated in urban school districts in the United States. Comparison of the composition of student populations revealed that larger urban school districts exhibited greater concentrations of students identified as non-white and receiving free or reduced lunches. Overlooking the variation among urban school districts could result in ineffective reforms, poor educator preparation, skewed funding, and irrelevant research.

President Obama’s policies, while broad in scope, offer some specific attention to college and career readiness (CCR) and are necessary for urban youth to realize their career potentials. However, by primarily defining CCR in terms of academic achievement, many of the previously mentioned policies ignore the varied college access skills needed to ensure successful preparation for, enrollment in, and graduation from postsecondary institutions.

This chapter explores the current definition of CCR represented in the Obama administration’s policies, while also expanding the definition to include missing policy pieces related to college access.

The underutilization of school counselors and classroom teachers as college access facilitators who can expand CCR for urban schools is addressed. The paper discusses recent Obama administration initiatives and recommendations for urban schools and higher education institutions.

The administration initiatives and recommendations recently put in place by the Obama administration for urban schools and higher education institutions, if integrated within urban schools, may facilitate the realization of one of President Obama’s educational reform goals of ensuring that every student graduates from high school well prepared for college and a career.

Private supplementary tutoring, common in many countries, has mixed (both positive and negative) dimensions that impact student learning. Private supplementary tutoring runs parallel to mainstream schooling and provides lessons before or after school hours in exchange for additional fees. The purpose of this paper is to focus on how private supplementary tutoring benefits students’ learning in secondary education. It also identifies the drawbacks of tutoring, and shows variations in and between urban and rural locations.

The paper employed a mixed methods approach using a survey and individual interview collected from two different research settings: urban and rural. Grades 8 and 10 were purposefully chosen for data collection. A sample of 802 participants, including 401 students and their 401 parents (either mothers or fathers), participated in the survey, in addition to 48 interviewees comprising students, parents and teachers.

At times, pupils’ educational perspectives are influenced by the conflicting (positive/negative) standpoints of tutoring issues. The paper finds mixed impacts of private tutoring with a focus on disparities of implications between urban and rural locations. It identifies positive aspects such as learning attainment, exam preparation, relationship growth and lesson practice, as well as negative perspectives, such as an examination-centered aim and hamper of mainstream school learning.

The study contributes to the awareness of private supplementary tutoring that benefits students’ learning while also bringing disadvantages. It shows implications of fee-charging tutoring which may relate to students’ family socio-economic situations. The paper addresses private tutoring in general (including English and all other subjects) in most cases, and, more specifically, private tutoring in English as a subject in some cases.

The purpose of this paper is to investigate computer literacy competencies among rural and urban students in India and its prime objectives are to find out: how rural and urban students use computers, what is the purpose of computers for these students and what problems have the students encountered while using computers.

Scheduled interviews were conducted to collect necessary data from rural and urban students. The interview schedules consisted of various questions designed to elicit details about the students’ use of computers. A total of 600 interview schedules were collected and data were analyzed using Statistical Package for the Social Sciences for windows to test the formulated hypothesis.

The findings of the study indicate that the infrastructural facilities varied among rural and urban schools. Another notable finding of the study was that majority (91.33 percent) of urban students used computers compared to a significantly less percentage of rural students (32.33 percent). Most rural students have not used computers mainly because they do not know how to (49.75 percent) followed by lack of support from teachers (48.76 percent) and non-availability of computers in their schools (48.27 percent). Electrical power failure was another major problem faced by both urban students (31.75 percent) and rural students (40.20 percent).

This study attempted to learn about the computer literacy competencies among the students and the digital divide in Indian schools. On the basis of the findings, the study has recommended guidelines to bridge the digital gap. These findings and recommendations will potentially be helpful to school authorities and the government in order to take the necessary measurements to bridge the digital gap between the rural and urban students.

The pattern of racial segregation in U.S. elementary and secondary schools has changed significantly over the last 25 years. This chapter examines the relationship between the racial composition of schools and the choices white parents make concerning the schools their children attend. Restricted access files at the Bureau of the Census allow us to identify each household's Census block of residence and, in turn, suburban public school districts and urban public school attendance areas. We find that the racial composition of schools and neighborhoods are very important in the school and location decisions of white families.

Recent educational research has demonstrated rural‐urban gaps in achievement and schooling conditions. Evidence from developing countries is still sparse. This study seeks to report rural‐urban disparities in achievement, student, teacher, and school characteristics based on a nationally representative sample of grade four students from four provinces of Pakistan. The study aims to take into account the limitations of previous research, mainly the issues of non‐representative samples and inadequate sampling techniques, by using proportionally adequate sample to address the potential differences in achievement of rural and urban students and how schooling, students and teacher‐related factors account for gap in achievement.

The primary data source for the study was the 2006 national assessment survey of year four students in government school across four provinces in four core subjects. The sample design included a two‐stage stratified random sample, where the major strata of national interest were student and school gender, geographical location and region. First stage involved selecting schools and in the second stage students were selected from schools. The procedure of estimation involved computing the average of each group's achievement scores and attached standard errors, the gap of standard errors and statistical significance of standard errors at 0.05 level.

The results show that rural and urban students had comparable levels of achievement in some of the tested learning areas. In Balochistan province, rural students outperformed their urban counterparts in three out of the four tested subjects. In Punjab and Sindh, urban students performed significantly better in social studies and language tests; scores on social studies and language did not differ significantly across location in the North West. The differences appeared to be partly explained by variation in schooling conditions, students' home background, and teachers' characteristics. Teachers' training turned out to be decisive in determining students' achievement, whereas availability of resources and multi‐grade teaching was less important.

Recent educational research from around the world has demonstrated rural‐urban gaps in achievement and schooling conditions. Evidence from developing countries is still sparse. This study is the first attempt to report rural‐urban disparities in academic achievement, student, teacher, and school characteristics based on a nationally representative sample. The study has employed an appropriate sampling strategy and proportionally adequate sample to address the potential differences in achievement of rural and urban students in four provinces. The findings could therefore be used to guide policy interventions in areas of curriculum differences, schooling conditions, teachers' training and multi‐grade teaching across provinces.

The purpose of this paper is to know the frequency, place, and purpose of use of computer. It also aimed to know the various problems faced by the students in using the computer and to know the reasons for not using computer by rural and urban students.

A total of the 2,592 sample population were selected from 64 rural and urban high schools of two districts of Karnataka state. A structured questionnaire was used for the data collection and data have been analyzed using Software Package for Social Science. Statistical tests, namely, χ² and one-way ANOVA were applied to test the formulated hypotheses.

The results of the study showed that only 20.66 percent rural students and 69.70 percent of urban students used computer for various academic purposes. Further, most of the rural and urban students opined that “electric power failure” and “lack of computer” skills were major problem in using computer.

Today, the computer education in schools plays an important role in student’s career development and enhances the quality of learning among students. Thus, the local government/school authorities may provide the minimum ICT infrastructure in both schools and more particularly in rural schools.

The purpose of the present study is to take an overview of the use of computers, internet, computer skills and information searching behaviour on the web as well as the OPAC in a university setting among students at the postgraduate level from rural and urban backgrounds in a comparative analogue.

This survey‐based study utilized the questionnaire as its major data collection instrument. However, the interview method and general observations were also used, whenever required, to supplement the data and make the information more explicit. The data, thus collected, were analysed with the aid of SPSS statistical software. The Chi‐square test was also performed to identify significant comparability among urban and rural background students.

The study revealed that most postgraduates (95.5 per cent) belonging to rural areas were computer literate. Further, most of them had accessed the web for communication purposes and for locating general and academic information. The results showed no significant differences between rural and urban students for the use of computer and internet, usage patterns of OPAC like search engines and the ease of OPAC use and their expectations from OPAC. The only significant differences found among both groups were for their reactions during unsuccessful searches. Thus, the background of users at the postgraduate level does not significantly affect the use of computer and internet, information searching behaviour patterns on the web and library systems, especially OPAC.

This is a pioneering work to examine whether postgraduates from differing backgrounds searched for information required by them differently through varying information channels for academic purposes in a university library system in India.

Urban design professionals face the challenge of creating responsive human settlements amidst complex, ever-evolving interactions between numerous factors, which makes each project a “wicked problem,” requiring designers with specific skills to solve them effectively. This paper explores how integrating “Living Labs” and “Learning Playing techniques” equips urban design students with the needed competencies to address these challenges.

The research employed a literature review focusing on urban design theories related to “wicked problems,” design thinking and soft skills. Through this review, the authors developed the “Urban Design Thinking Soft Skills (UDTS) matrix” and identified pedagogical approaches using Living Labs and Learning Playing Techniques. An award-winning community design studio at Cairo University served as a case study to test and validate the UDTS matrix. Interviews were conducted to further investigate the effectiveness of incorporating these approaches.

The study found that integrating Living Labs principles and Learning Playing Techniques (termed “Joyful Living Labs” in this context) are effective pedagogical methods. Interviews provided evidence supporting their value within urban design curricula for the Egyptian context.

This paper proposes the UDTS matrix as a framework to equip students with the necessary soft skills for tackling complex urban design challenges. Furthermore, it introduces the concept of “Joyful Living Labs” as a potential pedagogical approach specifically suited for the Egyptian context.

Students living in urban environments tend to have lower academic achievement and college- and career-readiness skills than students living in suburban environments, as well as tend to be more at-risk for social-emotional learning problems. Research indicates that several school and community variables are related to this education discrepancy, and aligning these variables to best meet the needs of students is the best way to improve educational outcomes. This chapter will describe a collective impact initiative designed to align school, community, and nonprofit resources in an urban environment to best address the needs of students and increase academic success.