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Rachel Schechter; Colin Ackerman; Krystina Raymond – Online Submission, 2025
Many educators struggle to deliver effective early literacy instruction that is both research-based and responsive to diverse learning needs. IMSE's Orton-Gillingham Plus (OG+) addresses this gap by providing a Structured Literacy program grounded in explicit, systematic, and cumulative instruction. Designed for K-2 foundational literacy and…
Descriptors: Literacy Education, Phonics, Feedback (Response), Direct Instruction
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Seah, Wee Tiong; Wong, Ngai-Ying – Online Submission, 2019
This paper discusses some of the recurrent issues which the authors have noticed in educational research. These might be concerned with the nature of social science research, such as its representation of the reality of student learning, the role for replication studies, and the tolerance for disagreements. There are also issues related to the…
Descriptors: Educational Research, Research Problems, Mixed Methods Research, Qualitative Research
Terrence Narinesingh – Online Submission, 2023
This study introduces the Strategic Universal Design for Learning Course Development Framework™ (S-UDLCD™), the S-UDLCD™ Framework for Student Success™, and the Narinesingh Traffic Light Model™--three integrated, data-driven models designed to improve student retention, engagement, and instructional effectiveness in K-12 and higher education…
Descriptors: Access to Education, School Holding Power, Learner Engagement, Elementary Secondary Education
LeBoeuf, Whitney; Perrin, Phil; Kennedy, Stacey – Online Submission, 2020
A qualified and dedicated early care and education (ECE) professional workforce is essential for the well-being of our youngest children. Despite the importance of ECE professionals, the field continues to experience challenges recruiting and retaining individuals in the workforce, often due to high expectations for early care with inadequate…
Descriptors: Early Childhood Teachers, Child Care, Infants, Toddlers
Setyani, Geovani Debby; Kristanto, Yosep Dwi – Online Submission, 2020
Drawing inference from data is an important skill for students to understand their everyday life, so that the sampling distribution as a central topic in statistical inference is necessary to be learned by the students. However, little is known about how to teach the topic for high school students, especially in Indonesian context. Therefore, the…
Descriptors: High School Students, Grade 11, Private Schools, Foreign Countries
DeBaylo, Paige – Online Submission, 2019
The TELL Survey utilizes items representative of twenty different factors, or variables, within the domain of campus climate and culture. However, since the district began using the TELL Survey, a thorough examination of these factors and the items within each of these factors has not been conducted. This brief report aims to uncover the factor…
Descriptors: Teacher Surveys, Factor Analysis, Factor Structure, School Districts
Hamilton, Clovia; Swart, William; Stokes, Gerald M. – Online Submission, 2021
We address the issue of consumer privacy against the backdrop of the national priority of maintaining global leadership in artificial intelligence, the ongoing research in Artificial Cognitive Assistants, and the explosive growth in the development and application of Voice Activated Personal Assistants (VAPAs) such as Alexa and Siri, spurred on by…
Descriptors: Rating Scales, Ethics, Compliance (Legal), Artificial Intelligence
Hutchins, Shaun D.; DeBaylo, Paige Hartman; Williams, Holly – Online Submission, 2018
This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.
Descriptors: School Districts, Achievement Gains, Achievement Tests, High Schools