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Mausbach, Ann; Kazmierczak, Kim Morrison – Phi Delta Kappan, 2023
Teaching is a complex endeavor, and the pandemic era stretched teachers to their limit, leaving them in need of supports that ignite both their passion and capacity. The typical top-down mandates found in many schools need to be replaced with processes that meet teachers where they are, helping them grow so their students can grow, too. Ann…
Descriptors: Faculty Development, Individualized Instruction, Goal Orientation, Teacher Supervision
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Kaplan, Sandra N. – Gifted Child Today, 2024
This article describes the use of clusters in facilitating inquiry and expanding learning opportunities for advanced and gifted students. Options are presented that extend or reinforce the central focus of curricular investigations. These clusters enhance the gifted students' understanding of the connections that reinforce and/or extend the impact…
Descriptors: Inquiry, Individualized Instruction, Teaching Methods, Gifted Education
Emmanuel Dumbuya – Online Submission, 2025
Artificial Intelligence (AI) is revolutionizing industries, yet its integration into education remains underutilized. This paper advocates for embedding AI tools in curriculum design to personalize learning experiences, address diverse student needs, and equip learners with future-ready skills. By leveraging AI's capabilities, educators can create…
Descriptors: Artificial Intelligence, Curriculum Design, Individualized Instruction, Technology Uses in Education
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Chen, Jennifer J.; Perez, ChareMone' – Childhood Education, 2023
Assessment holds the key to unlocking for the teacher a child's past (what he already knows), present (what he is learning), and future (what he still needs to learn) to inform teaching. Despite the benefits of assessment for informing teaching practice and enhancing student learning, it remains one of the most challenging and time-consuming tasks…
Descriptors: Evaluation Methods, Individualized Instruction, Artificial Intelligence, Computer Assisted Testing
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Yicong Zheng; Aike Shi; Xiaonan L. Liu – npj Science of Learning, 2024
This Perspective article expands on a working memory-dependent dual-process model, originally proposed by Zheng et al., to elucidate individual differences in the testing effect. This model posits that the testing effect comprises two processes: retrieval-attempt and post-retrieval re-encoding. We substantiate this model with empirical evidence…
Descriptors: Short Term Memory, Models, Individual Differences, Testing
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Buzick, Heather M.; Casabianca, Jodi M.; Gholson, Melissa L. – Educational Measurement: Issues and Practice, 2023
The article describes practical suggestions for measurement researchers and psychometricians to respond to calls for social responsibility in assessment. The underlying assumption is that personalizing large-scale assessment improves the chances that assessment and the use of test scores will contribute to equity in education. This article…
Descriptors: Achievement Tests, Individualized Instruction, Evaluation Methods, Equal Education
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Kelly, Katie – Reading Teacher, 2023
This article describes the Four-N-Framework for responding to readers through focused and intentional individualized dynamic formative feedback. Making ongoing informed data-driven instructional decisions and effective actionable feedback supports students' reading growth and fosters lifelong readers. This easy-to-implement process can support…
Descriptors: Teaching Methods, Reading Instruction, Individualized Instruction, Formative Evaluation
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Katherine A. Valentine; Adrea J. Truckenmiller – Intervention in School and Clinic, 2025
Educators are faced with many decisions regarding supporting students' writing. While writing achievement and curriculum-based measure scores provide numbers that are important for high-stakes decisions like determining special education eligibility, they do not provide educators with information on a student's explicit instruction needs. Written…
Descriptors: Writing Evaluation, Writing Skills, Student Evaluation, Special Education
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Tao Gong; Lan Shuai; Robert J. Mislevy – Journal of Educational Measurement, 2024
The usual interpretation of the person and task variables in between-persons measurement models such as item response theory (IRT) is as attributes of persons and tasks, respectively. They can be viewed instead as ensemble descriptors of patterns of interactions among persons and situations that arise from sociocognitive complex adaptive system…
Descriptors: Cognitive Processes, Item Response Theory, Social Cognition, Individualized Instruction
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Hidetsugu Suto; Qianran Wang – New Directions for Adult and Continuing Education, 2024
Japan, like many countries, is facing problems with an aging society, and lifelong learning is becoming more and more important. To provide older adults with the opportunity to enroll in lifelong learning programs, it is essential to offer suitable programs. However, designing learning programs for older adults is not easy because they may have…
Descriptors: Foreign Countries, Lifelong Learning, Older Adults, Educational Opportunities
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Roneet Merkin – PRIMUS, 2024
This paper reports on a novel corequisite design and implementation for College Algebra at Florida International University. The corequisite course uses online, just-in-time, prerequisite assignments delivered on an open-educational platform. Students get help from near-peer learning assistants inside a math emporium environment. The course…
Descriptors: Required Courses, College Mathematics, Algebra, Mathematics Instruction
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Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
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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
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Insung Jung – Open Praxis, 2024
This paper charts a forward-looking roadmap for open universities, drawing upon their historical evolution and current practices. It advocates a shift toward a universally accessible, personalized education system. At the heart of this proposed advancement lies the customization of learning paths and experiences, where individualized advising and…
Descriptors: Open Universities, Individualized Instruction, Access to Education, Artificial Intelligence
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Guo, Hongfei; Yu, Xiaomei; Wang, Xinhua; Guo, Lei; Xu, Liancheng; Lu, Ran – International Journal of Distance Education Technologies, 2022
As students in online courses usually show differences in their cognitive levels and lack communication with teachers, it is difficult for teachers to grasp student perceptions of the importance of knowledgepoints and to develop personalized teaching. Though recent studies have paid attention to this topic, existing methods fail to calculate the…
Descriptors: Online Courses, Individualized Instruction, Learning Analytics, Concept Mapping
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