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Soyoung Park; Pamela M. Stecker; Sarah R. Powell – Intervention in School and Clinic, 2024
This article provides teachers with a toolkit for assessing students in the context of data-based individualization (DBI) in mathematics. Assessing students is a critical component of DBI because it provides teachers with information about what they may need to modify in their instructional programs. In this article, we provide teachers with…
Descriptors: Student Evaluation, Individualized Instruction, Mathematics Instruction, Progress Monitoring
Natasha Arthars; Kate Thompson; Henk Huijser; Steven Kickbusch; Samuel Cunningham; Gavin Winter; Roger Cook; Lori Lockyer – Australasian Journal of Educational Technology, 2024
Assessing group work formatively in higher education poses a significant challenge. The complexity of evaluating individual contributions is compounded by the lack of efficient and effective methods for tracking, analysing and assessing individual engagement and contributions, which can impede timely feedback and the development of group work…
Descriptors: Formative Evaluation, Cooperative Learning, College Students, Student Evaluation
Advance CTE: State Leaders Connecting Learning to Work, 2021
With the recent reauthorization of the Strengthening Career and Technical Education for the 21st Century Act (Perkins V), unprecedented philanthropic investment in career pathways, and the urgent economic needs of the COVID-19 (coronavirus) pandemic, the career readiness field is at a critical moment in time. To meet this moment, states,…
Descriptors: Career Readiness, Career Development, Educational Legislation, Federal Legislation
Crescenzi-Lanna, Lucrezia – British Journal of Educational Technology, 2020
Learning Analytics and Multimodal Learning Analytics are changing the way of analysing the learning process while students interact with an educational content. This paper presents a systematic literature review aimed at describing practices in recent Multimodal Learning Analytics and Learning Analytics research literature in order to identify…
Descriptors: Learning Modalities, Learning Analytics, Student Behavior, Progress Monitoring
K. Brigid Flannery; Mimi McGrath Kato; Angus Kittelman; Nadia Katul Sampson; Kent McIntosh – Behavioral Disorders, 2024
The purpose of this study was to provide initial evidence of the effectiveness of Check-In/Check-Out-High School (CICO-HS) on high school student outcomes. Check-In/Check-Out-High School is a version of CICO, an established Tier 2 intervention designed to improve student academic and social behavior, adapted to increase effectiveness and…
Descriptors: High School Students, Intervention, Positive Behavior Supports, Program Effectiveness
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
January, Stacy-Ann A.; Van Norman, Ethan R.; Christ, Theodore J.; Ardoin, Scott P.; Eckert, Tanya L.; White, Mary Jane – School Psychology Review, 2018
The present study examined the utility of two progress monitoring assessment schedules (bimonthly and monthly) as alternatives to monitoring once weekly with curriculum-based measurement in reading (CBM-R). General education students (N = 93) in Grades 2-4 who were at risk for reading difficulties but not yet receiving special education services…
Descriptors: Progress Monitoring, Reading Improvement, Reading Tests, Student Evaluation
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
Gallagher, Kerry – State Education Standard, 2016
Digital tools are making it easier than ever for teachers to gather and analyze formative data. Paper exit slips can take a classroom teacher upward of an hour to sort and graph after just one day of classes. But now, that same teacher can pose a question out loud to the class and ask students to type answers on their mobile phones and hit send.…
Descriptors: Data Collection, Formative Evaluation, Technology Uses in Education, Handheld Devices
Brookings Institution, 2017
The Measuring Early Learning Quality and Outcomes (MELQO) initiative began in 2014 in anticipation of a new global emphasis on early childhood development (ECD). Led by UNESCO, the World Bank, the Center for Universal Education at the Brookings Institution, and UNICEF, the initiative aims to promote feasible, accurate and useful measurement of…
Descriptors: Early Childhood Education, Preschool Education, Child Development, Educational Quality
Birbili, Maria; Tzioga, Katerina – Early Years: An International Journal of Research and Development, 2014
Collaborating with parents in documenting and reflecting on children's learning is important not only because it provides teachers with richer and more accurate information but also because it helps parents understand the role assessment can play in student learning and motivation. Moreover, when parents are provided with opportunities to observe,…
Descriptors: Foreign Countries, Parent Participation, Student Evaluation, Documentation
Haas, Lindsay B.; Stickney, Eric M.; Ysseldyke, James E. – Journal of Applied School Psychology, 2016
The authors examined the extent to which classroom teachers in naturalistic settings used a Goal-Setting Tool to set instructional goals for struggling students, the kinds of goals they set, their progress monitoring practices with and without goals, and the extent to which students gain more when a goal-setting tool is used. The goal-setting tool…
Descriptors: At Risk Students, Learning Disabilities, Student Educational Objectives, Goal Orientation
Kenyatta, Candace – Region 8 Comprehensive Center, 2021
The Diversifying the Education Profession Ohio Taskforce consists of aspiring teachers, K-12 educators, human resources personnel, educator preparation program representatives, community members, State Board of Education representation, and staff members from the Ohio Department of Education and Ohio Department of Higher Education and convened to…
Descriptors: Student Needs, Student Diversity, Elementary Secondary Education, Faculty Development
Zank, Alicia A. – Online Submission, 2015
The purpose of the study is to determine what effects explicit and systematic math intervention instruction will have on student's performance on math assessments. The study will focus on a small group of fifth grade students that have been identified as needing targeted intervention (tier 2) and intensive interventions (tier 1) through the…
Descriptors: Intervention, Mathematics Instruction, Grade 5, Response to Intervention
van Leeuwen, Anouschka – Journal of Learning Analytics, 2015
Learning analytics (LA) are summaries, visualizations, and analyses of student data that could improve learning in multiple ways, for example by supporting teachers. However, not much research is available yet concerning how LA may support teachers to diagnose student progress and to intervene during student learning activities. There is evidence…
Descriptors: Data Collection, Data Analysis, Student Evaluation, Cognitive Processes
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