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Van Norman, Ethan R.; Christ, Theodore J.; Newell, Kirsten W. – School Psychology Review, 2017
Research regarding the technical adequacy of growth estimates from curriculum-based measurement of reading progress monitoring data suggests that current decision-making frameworks are likely to yield inaccurate recommendations unless data are collected for extensive periods of time. Instances where data may not need to be collected for long…
Descriptors: Progress Monitoring, Curriculum Based Assessment, Goal Orientation, Decision Making
Iqbal, Mohammad; Samiullah; Anjum, Aysha – Bulletin of Education and Research, 2017
Effectiveness of continuous assessment can be judged by making observation and collecting information periodically from specific tasks given to students during their learning process. Present research aimed to explore outcomes of continuous assessment that enhanced the academic achievement of elementary school students. A sample of sixty students…
Descriptors: Elementary School Students, Academic Achievement, Performance, Progress Monitoring
Ling, Jizhi; Radunzel, Justine – ACT, Inc., 2017
A majority of high school graduates aspire to earn a college degree (ACT, 2016), yet many students are graduating from high school unprepared to do college-level work. As a result, about one-third of college freshmen enroll in at least one developmental course upon entry to college (Skomsvold, 2014). Because developmental courses are often not…
Descriptors: High School Graduates, College Readiness, Probability, Student Characteristics
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
State tests lack the sensitivity and frequency to reflect ongoing academic improvement of students who are well below grade-level proficiency standards. As a result, some states are using screening and progress-monitoring data, collected as part of a multi-tiered system of supports (MTSS) model, to evaluate early student-level progress toward SiMR…
Descriptors: Data Use, Student Evaluation, Screening Tests, Progress Monitoring
Barret, Mandy; Branson, Lisa; Carter, Sheryl; DeLeon, Frank; Ellis, Justin; Gundlach, Cirrus; Lee, Dale – Inquiry, 2019
Artificial intelligence (AI) technology is becoming the basis for business. Most businesses use it to improve the customer experience. The education community is just beginning to find ways to successfully implement AI for staff and students. Artificial Intelligence should be leveraged to create a better student experience. For example, Elon…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Educational Opportunities
Clemens, Nathan H.; Hsiao, Yu-Yu; Simmons, Leslie E.; Kwok, Oi-man; Greene, Emily A.; Soohoo, Michelle M.; Henri, Maria A.; Luo, Wen; Prickett, Christopher; Rivas, Brenna; Otaiba, Stephanie Al – Assessment for Effective Intervention, 2019
Although several measures are available for monitoring kindergarten reading progress, little research has directly compared them to determine which are superior in predicting year-end reading skills relative to other measures, and how validity may change across the school year as reading skills develop. A sample of 426 kindergarten students who…
Descriptors: Predictive Validity, Kindergarten, Progress Monitoring, Curriculum Based Assessment
Arria, Amelia; Wagley, Greta – American Council of Trustees and Alumni, 2019
As colleges and universities acknowledge the connection between behavioral health and student success, ACTA releases this powerful report calling for a new level of awareness and collaborative action by presidents and trustees to address student alcohol and drug use. The report provides examples of successful, evidence-based programs implemented…
Descriptors: College Students, Drinking, Drug Use, Academic Achievement
Utah State Board of Education, 2019
The K-3 Reading Improvement Program focuses on the development of early literacy skills in all students, with additional emphasis placed on intervention for "at-risk" students. Resources available to aid these students include interventions and supports for students in grades kindergarten through third grade, standards and assessments…
Descriptors: Emergent Literacy, Reading Programs, Reading Instruction, Reading Improvement
VanderWey, Risha Anne – ProQuest LLC, 2019
The purpose of this study was to examine the relationship between Title I school performance and effective district leadership and reform strategies. This study focused on the successful attributes and characteristics of principals whose high-performing (the percentage of students that meet or exceed on the AzMERIT assessment) high-poverty schools…
Descriptors: Principals, Administrator Characteristics, Poverty, Disadvantaged Schools
National Center for Systemic Improvement at WestEd, 2019
Outcomes for students with disabilities are historically concerning. As states have leveraged the "Every Student Succeeds Act" (ESSA) to refine accountability and support systems, schools across the country have been identified as needing "Targeted School Improvement" (TSI) or "Comprehensive School Improvement" (CSI).…
Descriptors: Students with Disabilities, Student Needs, Alignment (Education), Change Strategies
Yu, Rondy; Monteiro, Elissa – Communique, 2020
Nonpublic schools (NPSs) are used by local education agencies (LEAs) across the country to serve students with exceptional needs. These students are often reported to suffer from mental health challenges and engage in severe problem behaviors. The social and financial costs associated with NPS placements are significant, and it is imperative that…
Descriptors: School Psychologists, Student Placement, School Districts, Special Needs Students
Yell, Mitchell L.; Collins, James; Kumpiene, Gerda; Bateman, David – TEACHING Exceptional Children, 2020
This article begins by describing a scenario in which a fourth-grade learning disabled student's individualized education program (IEP) team came together to develop his IEP and in so doing made a number of procedural and substantive errors. The purpose of this article is to examine the procedural and substantive requirements of the Individuals…
Descriptors: Individualized Education Programs, Students with Disabilities, Educational Legislation, Federal Legislation
Luzius, Michael – Distance Learning, 2020
Adaptive learning is a computerized learning environment in which software evaluates how well students learn course content. Students read textual materials, view videos and listen to audio files. The software then creates an individualized learning path for the student based on how well they perform in quizzes embedded in their lessons. As such,…
Descriptors: Computer Assisted Instruction, Individualized Instruction, Economics Education, Computer Software
Turner, Ross – Australian Council for Educational Research, 2015
In 2013, staff at the Australian Council for Educational Research (ACER) Centre for Global Education Monitoring (GEM) identified the need to build measurement tools to monitor learning growth that could be used across different year levels and in different national contexts. One of those projects, under ACER's Monitoring Trends in Educational…
Descriptors: Academic Achievement, Progress Monitoring, Data, Measurement
Filderman, Marissa J.; Toste, Jessica R. – TEACHING Exceptional Children, 2018
Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…
Descriptors: Reading Difficulties, Reading Skills, Individualized Instruction, Decision Making

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