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Kimberly J. Vannest; Kelly Swindlehurst; Penny A. Bishop; Katharine G. Shepherd – On the Horizon, 2025
Purpose: Personalized learning plans (PLPs) are increasing in use and USA state-level educational policies. PLPs are key components in proficiency-based learning reforms and flexible pathways to graduation. Although the theoretical and implementation literature is increasing, evidence of student outcomes is more difficult to readily identify. The…
Descriptors: Literature Reviews, Meta Analysis, Secondary Education, Grade 7
Mingyu Feng; Gary Weiser; Kelly Collins – WestEd, 2024
This report delves into the cost and effectiveness of the ASSISTments program as an online math support tool. Aiming to replicate previous findings, the study focused on the impact of ASSISTments on student learning in seventh-grade classrooms. The report outlines the study's objectives, setting, and participants alongside the study design,…
Descriptors: Costs, Cost Effectiveness, Mathematics Instruction, Educational Technology
John L. Nietfeld; Kristin F. Hoffmann – Journal of Computer Assisted Learning, 2024
Background: Goal setting has been established in the literature as a critical component of self-regulated learning and for effective problem-solving. Yet, surprisingly little attention has been focused on goal-directed behaviour in digital game-based learning environments (GBLEs) despite their expanding use in educational contexts. Objectives: The…
Descriptors: Game Based Learning, Educational Environment, Goal Orientation, Electronic Learning
Jeff Allen – ACT, Inc., 2024
The PreACT® suite of assessments (PreACT® 8/9, PreACT®, and PreACT® Secure™) can be used to monitor students' progress toward college and career readiness. Scores are classified into one of three readiness levels based on chances of meeting the ACT College Readiness Benchmark. This data byte presents the updated score ranges for each readiness…
Descriptors: College Readiness, Evaluation, High School Students, Grade 8
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Carlita S. King – ProQuest LLC, 2024
Following a massive wave of school closures during the COVID-19 pandemic, educators found the need to be hyper-critical of how they spend their instructional time with students. Almost all students are expected to return nearly a full grade-level behind and would likely have to learn to navigate a completely new school environment. As a result,…
Descriptors: Time Factors (Learning), Achievement Gains, Tutoring, After School Education