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State of Texas Assessments of…1
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Shalom Labkovski – ProQuest LLC, 2024
In an era of heightened accountability and expanding educational technology choices, mathematics educators must critically assess the effectiveness of the tools available to them. While deciding on technological tools, it is essential that we not only promote rigor in mathematics but also ensure closing learning gaps and improve students' beliefs…
Descriptors: Mathematical Aptitude, Mastery Learning, Individual Development, Course Evaluation
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Qianwen Tang; Wenbo Deng; Yidan Huang; Shuaijie Wang; Hao Zhang – Journal of Computer Assisted Learning, 2025
Background: Generative Artificial Intelligence (AI) shows promise in enhancing personalised learning and improving educational efficiency. However, its integration into education raises concerns about misinformation and over-reliance, particularly among adolescents. Teacher supervision plays a critical role in mitigating these risks and ensuring…
Descriptors: Artificial Intelligence, Teaching Methods, Educational Quality, Technology Integration
Philip Oreopoulos; Chloe R. Gibbs; Michael Jensen; Joseph P. Price – Annenberg Institute for School Reform at Brown University, 2024
Mastery learning -- the process by which students must demonstrate proficiency with a single topic before moving on -- is well recognized as one of the best ways to learn, yet many teachers struggle or remain unsure about how to implement it into a classroom setting. This study leverages two field experiments to test the efficacy of a program…
Descriptors: Elementary School Teachers, Middle School Teachers, Mathematics Teachers, Computer Assisted Instruction
Kirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
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Fuhai An; Jiawei Guo – Education and Information Technologies, 2024
Peer relationships play important roles in middle-school students' individual development. Peer support is indispensable in computer-supported learning contexts. This study is designed to explore the connection between perceived peer support and deeper learning, while examining the mediating role of computer self-efficacy and perceived classroom…
Descriptors: Peer Relationship, Goal Orientation, Mastery Learning, Prediction
Julie Eberhard Smith – ProQuest LLC, 2024
This study investigated the effect a computer intervention program has on student proficiency in the Algebra 1 End of Course (EOC) examination. This study utilized the intervention math program IXL Math, a computerized program that targets individual students' skill practice and supports students' need to accelerate mastery of Algebra 1 skills in…
Descriptors: High School Students, Mathematics Instruction, Algebra, Intervention
Jonathan Scrivner – ProQuest LLC, 2024
Math anxiety levels directly and negatively impact student performance in the math classroom. Educators must work to implement instructional strategies that effectively reduce math anxiety and improve student math performance. This study evaluated mastery learning interventions as an effective tool for reducing math anxiety among middle school…
Descriptors: Mathematics Anxiety, Stress Management, Middle School Students, Secondary School Mathematics
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Schumaker, Jean B.; Walsh, Lisa D.; Fisher, Joseph B. – Journal of Special Education Technology, 2021
The effects of an interactive multimedia (IM) software program for teaching comma strategies to students with learning disabilities (LD) were determined with regard to the students' sentence-editing and sentence-construction skills. Students with LD at the middle-school and high-school levels were randomly selected in their intact cohorts for the…
Descriptors: Computer Assisted Instruction, Multimedia Instruction, Courseware, Mastery Learning
Bryant, Lastarra – ProQuest LLC, 2019
Even though a school in Southern Virginia had been utilizing a variety of manipulatives, calculators, and computers to transition students through the concrete-representational-abstract (CRA) sequence; students did not meet the state proficiency requirement on the standardized math assessment. A qualitative descriptive case study design, grounded…
Descriptors: Grade 5, Mathematics Instruction, Teaching Methods, Teacher Attitudes
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Zulfiani Zulfiani; Iwan Permana Suwarna; Sujiyo Miranto – Journal of Baltic Science Education, 2018
Students with their different learning styles also have their own different learning approaches, and teachers cannot simultaneously facilitate them all. Teachers' limitation in serving all students' learning styles can be anticipated by the use of computer-based instructions. This research aims to develop ScEd-Adaptive Learning System (ScEd-ASL)…
Descriptors: Science Instruction, Cognitive Style, Intelligent Tutoring Systems, Teaching Methods
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Kai, Shimin; Almeda, Ma. Victoria; Baker, Ryan S.; Heffernan, Cristina; Heffernan, Neil – Journal of Educational Data Mining, 2018
Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…
Descriptors: Decision Making, Models, Intervention, Computer Assisted Instruction
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Porter, Tenelle; Molina, Diego Catalán; Blackwell, Lisa; Roberts, Sylvia; Quirk, Abigail; Duckworth, Angela L.; Trzesniewski, Kali – Journal of Learning Analytics, 2020
Mastery behaviours -- seeking out challenging tasks and continuing to work on them despite difficulties -- are integral to achievement but difficult to measure with precision. The current study reports on the development and validation of the computer-based persistence, effort, resilience, and challenge-seeking (PERC) task in two demographically…
Descriptors: Mastery Learning, Resilience (Psychology), Difficulty Level, Computer Assisted Instruction
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Pane, John F.; Griffin, Beth Ann; McCaffrey, Daniel F.; Karam, Rita – Educational Evaluation and Policy Analysis, 2014
This article examines the effectiveness of a technology-based algebra curriculum in a wide variety of middle schools and high schools in seven states. Participating schools were matched into similar pairs and randomly assigned to either continue with the current algebra curriculum for 2 years or to adopt Cognitive Tutor Algebra I (CTAI), which…
Descriptors: Mathematics Instruction, Algebra, Mathematics Curriculum, Educational Technology
Center for Data-Driven Reform in Education (NJ3), 2009
What mathematics programs have been proven to help middle and high school students to succeed? To find out, this review summarizes evidence on three types of programs designed to improve the mathematics achievement of students in grades 6-12: (1) Mathematics Curricula (MC), such as The "University of Chicago School Mathematics Project," "Connected…
Descriptors: Mathematics Achievement, Mastery Learning, Educational Strategies, Computer Assisted Instruction
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Anderman, Lynley H.; Patrick, Helen; Ryan, Allison M. – Middle School Journal (J3), 2004
Student motivation is a cause of great concern for educators at all levels, but perhaps never more so than during the middle school years. Teachers' observations about declines in student interest and confidence in academic tasks are borne out by a number of large-scale empirical studies. In this article, the author examines how teachers create…
Descriptors: Student Interests, Interaction Process Analysis, Computer Assisted Instruction, Learner Controlled Instruction