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Derek T. M. Daskalakes – Philosophical Studies in Education, 2023
The Individuals with Disabilities Education Improvement Act (2004) (IDEIA) requires practitioners to use educational evaluations to assess students in K-12 schools that are suspected of having a disability. The resulting data provides the basis for determining whether students qualify for special education services, their precise educational…
Descriptors: Special Education, Individualized Education Programs, Regular and Special Education Relationship, Students with Disabilities
Jessup-Anger, Jody; Dooley, Jonathan C.; Leih, Rachel; Mueller, Elizabeth; Dean, Kathleen Lis – Journal of College Student Development, 2016
Emerging research illustrates that undergraduate students are searching for meaning in their lives, yet postsecondary institutions generally do little to support them in exploring such issues (Astin et al., 2005b). We speculated that religiously affiliated institutions might offer guidance on supporting students' spiritual development, and thus…
Descriptors: Religion, Religious Education, Student Attitudes, Catholics
Parsons, Carl – Education, Citizenship and Social Justice, 2016
Attainment data on England's school pupils are more extensive in coverage, detail, quantity, accessibility and of higher quality than monitoring statistics routinely available in other European countries. These data facilitate investigation of low attainment in England's schools and its relationship to ethnicity, gender and poverty. This article…
Descriptors: Foreign Countries, Educational Attainment, Poverty, Statistical Data
Rey, Gunter Daniel; Fischer, Andreas – Instructional Science: An International Journal of the Learning Sciences, 2013
The expertise reversal effect occurs when learner's expertise moderates design principles derived from cognitive load theory. Although this effect is supported by numerous empirical studies, indicating an overall large effect size, the effect was never tested by inducing expertise experimentally and using instructional explanations in a…
Descriptors: Difficulty Level, Cognitive Processes, Computer Assisted Instruction, Novices
Weiner, Mary T.; Day, Stefanie J.; Galvan, Dennis – American Annals of the Deaf, 2013
Student perspectives reflect school climate. The study examined perspectives among deaf and hard of hearing students in residential and large day schools regarding bullying, and compared these perspectives with those of a national database of hearing students. The participants were 812 deaf and hard of hearing students in 11 U.S. schools. Data…
Descriptors: Deafness, Hearing Impairments, Bullying, Educational Environment
Donche, Vincent; De Maeyer, Sven; Coertjens, Liesje; Van Daal, Tine; Van Petegem, Peter – British Journal of Educational Psychology, 2013
Background. Although the evidence in support of the variability of students' learning strategies has expanded in recent years, less is known about the explanatory base of these individual differences in terms of the joint Influences of personal and contextual characteristics. Aims. Previous studies have often investigated how student learning is…
Descriptors: Foreign Countries, Personality Traits, Learning Strategies, Context Effect
Lombardi, Megan M.; Choplin, Jessica M. – Journal of Alcohol and Drug Education, 2010
Three experiments investigated the impact of anchors on students' estimates of personal alcohol consumption to better understand the role that this form of bias might have in social norm intervention programs. Experiments I and II found that estimates of consumption were susceptible to anchoring effects when an open-answer and a scale-response…
Descriptors: Intervention, Alcohol Education, Alcohol Abuse, Drinking
Li, Qing; Zhao, Jianmin; Zhu, Xinzhong – International Journal of Distance Education Technologies, 2009
Supporting efficient data access in the mobile learning environment is becoming a hot research problem in recent years, and the problem becomes tougher when the clients are using light-weight mobile devices such as cell phones whose limited storage space prevents the clients from holding a large cache. A practical solution is to store the cache…
Descriptors: Electronic Learning, Research Problems, Statistical Data, Statistical Inference
van Raaij, Erik M.; Schepers, Jeroen J. L. – Computers & Education, 2008
The success of a virtual learning environment (VLE) depends to a considerable extent on student acceptance and use of such an e-learning system. After critically assessing models of technology adoption, including the Technology Acceptance Model (TAM), TAM2, and the Unified Theory of Acceptance and Usage of Technology (UTAUT), we build a conceptual…
Descriptors: Computer Attitudes, Information Technology, Statistical Data, Educational Environment
Knight, Jane – Perspectives in Education, 2006
It is no longer just students who are moving across borders to study. Program and institutions/providers are delivering foreign education programs and qualifications to students in their own countries. A whole new world of international academic mobility is opening up. This article looks at the concepts of cross-border, transnational, and…
Descriptors: Statistical Data, Global Approach, Classification, Educational Policy

Galenson, David W. – American Journal of Education, 1997
Investigates whether 19th-century children of immigrants living in ethnic ghettos were less likely to attend school than their peers who lived elsewhere. It considers the sources of the relationship between neighborhood of residence and school attendance in Boston (Massachusetts) and Chicago (Illinois) by examining the structure of their markets…
Descriptors: Attendance, Comparative Analysis, Economically Disadvantaged, Educational Environment
Raywid, Mary Anne – Phi Delta Kappan, 2001
A youngster failing to thrive in one environment needs an alternative learning situation. Research shows that small, personalized schools offering authentic, engaging curricula are essential for reaching unsuccessful learners. The test-score craze can be contained by publicizing other numbers regarding consequences: absence rates, dropouts,…
Descriptors: Academic Failure, Accountability, Attendance, Diversity (Student)