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Mohanad Halaweh – Journal of Information Systems Education, 2025
Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce…
Descriptors: Artificial Intelligence, Computer Uses in Education, Business Education, Information Systems
Child, Simon; Shaw, Stuart – Research Matters, 2023
This article provides a conceptual framework for considering both the theoretical and methodological factors that underpin the successful validation of a competency framework. Drawing on educational assessment literature, this article argues that a valid competency framework relates to an interpretive judgement of the credibility of the claims…
Descriptors: Competence, Validity, Accuracy, Models
Debbie Wong; Hilary Hollingsworth; Elizabeth Cassity; Adeola Monty – Australian Council for Educational Research, 2024
The Australian Council for Educational Research (ACER) has created an open-access classroom observation tool based on research conducted for the Australian Department of Foreign Affairs and Trade's (DFAT) Teacher Development Multi-Year Study Series, which studied teaching practices in Timor-Leste, Vanuatu and Lao PDR (see…
Descriptors: Classroom Observation Techniques, Educational Quality, Teaching Methods, Cross Cultural Studies
Bruhn, Allison L.; McDaniel, Sara C.; Rila, Ashley; Estrapala, Sara – Beyond Behavior, 2018
Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…
Descriptors: Progress Monitoring, Behavior Problems, Student Behavior, At Risk Students
Shakman, Karen; Wogan, Diana; Rodriguez, Sheila; Boyce, Jared; Shaver, Debra – Regional Educational Laboratory Northeast & Islands, 2020
This toolkit is designed to help school- and district-based practitioners engage in a continuous improvement effort. It provides an overview of continuous improvement and focuses on the Plan-Do-Study-Act cycle. It includes tools and resources that practitioners can use to implement a continuous improvement effort in their own schools, districts,…
Descriptors: Educational Improvement, Planning, Readiness, Teamwork
Davis, Leanne; Pocai, Jennifer; Santos, Janiel – Institute for Higher Education Policy, 2022
There are at least 39 million Americans who have attended college but needed to stop out before earning a degree. The "Degree Reclamation Playbook" supports practitioners seeking to reengage this population, capture the momentum of existing credits, and bring students across the degree finish line. Drawing on more than a decade of work,…
Descriptors: Stopouts, Educational Attainment, Adult Students, Reverse Transfer Students
TNTP, 2017
This report is drafted with state leaders and policy makers in mind, including those who work with or support these education leaders. The information shared in this report will likely be most relevant to states that have either not yet considered a new data system on teacher preparation providers, are only now starting to consider the idea, or…
Descriptors: Teacher Education Programs, Information Systems, Data Collection, Best Practices
Archer, Jeff; Cantrell, Steve; Holtzman, Steven L.; Joe, Jilliam N.; Tocci, Cynthia M.; Wood, Jess – Bill & Melinda Gates Foundation, 2016
In this book the authors explain how to build, and over time improve, the elements of an observation system that equips all observers to identify and develop effective teaching. It is based on the collective knowledge of key partners in the Measures of Effective Teaching (MET) project--which carried out one of the largest-ever studies of classroom…
Descriptors: Feedback (Response), Teacher Effectiveness, Observation, Teacher Evaluation
Smith, Kevin G.; Dombek, Jennifer L.; Foorman, Barbara R.; Hook, Karl S.; Lee, Laurie; Cote, Anna-Marie; Sanabria, Israel; Stafford, Tammy – Regional Educational Laboratory Southeast, 2016
While academic interventions can be implemented in any grade, focusing on interventions in high school is critical because it is often a student's last chance to become ready for the academic demands of postsecondary education and careers. States across the country are implementing large-scale initiatives focused on delivering academic…
Descriptors: Intervention, Guides, High Schools, Program Implementation
Smith, Kevin G.; Dombeck, Jennifer L.; Foorman, Barbara R.; Hook, Karl S.; Lee, Laurie; Cote, Anna-Marie; Sanabria, Israel; Stafford, Tammy – Regional Educational Laboratory Southeast, 2016
While literacy interventions can be implemented in any grade, focusing on interventions in grades 3-8 is critical because it is often the best chance for students identified with earlier reading deficiencies to become ready for the literacy demands of postsecondary education and careers. States in both the Regional Educational Laboratory (REL)…
Descriptors: Intervention, Guides, Literacy, Program Implementation
Gold, Thomas; Lent, Jessica; Cole, Rachel; Kemple, James; Nathanson, Lori; Brand, Janet – Research Alliance for New York City Schools, 2012
The federal government, states, school districts, and private foundations are investing hundreds of millions of dollars in educational data management systems. The hope for these investments is that providing better information to teachers and administrators, particularly student performance data, will support school-wide planning, inform…
Descriptors: Educational Technology, Technology Uses in Education, Information Systems, Urban Schools
Bernhardt, Victoria L. – 1998
Data can help identify solutions to some of the biggest problems in schools. Yet few schools use data effectively. The purpose of this book is to help schools become aware of the advantages of collecting and using data (data analysis) for overall school improvement. The book begins with an overview of the current state of education and the…
Descriptors: Automation, Data Analysis, Data Collection, Data Interpretation
Recruiting New Teachers, Inc., Belmont, MA. – 1998
This handbook is designed to help beginning evaluators of teacher recruitment programs. It addresses the information and assessment needs of teacher recruitment programs. It takes a hands-on approach and includes worksheets and instructions for using them. After presenting tips for getting started, the handbook offers eight steps to successful…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Elementary Secondary Education
North Carolina State Dept. of Public Instruction, Raleigh. – 1999
This training guides is designed to teach educators how to use data for school improvement. There is an emphasis on student achievement data, because achievement is the "bottom line" in assessing schools and school systems, but other types of data necessary to measure school quality are also considered. The chapters are: (1)…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Improvement
PDF pending restorationIngels, Steven J.; And Others – 1992
This manual has been produced to familiarize data users with the procedures followed for data collection and processing of the first follow-up dropout component of the National Education Longitudinal Study of 1988 (NELS:88). Necessary documentation is also provided for use of the data files. The base-year population covered by the NELS:88 included…
Descriptors: Data Collection, Data Processing, Databases, Dropout Research

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