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Li, Yuanmin; Chen, Dexin; Zhan, Zehui – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC) personalized recommendation method to help learners efficiently obtain MOOC resources. Design/methodology/approach: This study introduced ontology construction technology and a new semantic association algorithm…
Descriptors: MOOCs, Individualized Instruction, Models, Student Characteristics
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Emerson, Andrew; Min, Wookhee; Azevedo, Roger; Lester, James – British Journal of Educational Technology, 2023
Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students'…
Descriptors: Game Based Learning, Natural Language Processing, Prediction, Student Evaluation
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Li, Xiao; Xu, Hanchen; Zhang, Jinming; Chang, Hua-hua – Journal of Educational and Behavioral Statistics, 2023
The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…
Descriptors: Learning Processes, Models, Algorithms, Individualized Instruction
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Pickard, Beth – Research Studies in Music Education, 2021
This article reflects upon the potential mediation of medical and social interpretations of disability through informing instrumental tuition with the strengths recognised in the learning profile of children with Down Syndrome. The learning profile is explored and critically discussed, and its reductionist, deficit-based potential identified;…
Descriptors: Down Syndrome, Students with Disabilities, Teaching Methods, Models
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Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
Malkus, Nat; Hatfield, Jenn – American Enterprise Institute, 2017
The charter school movement is premised on the idea that, if independent operators create differentiated and innovative schooling options, families will benefit from making meaningful choices among those options that reflect their preferences. Charters are freed from many of the constraints traditional public schools face, allowing them to…
Descriptors: Models, Charter Schools, Student Characteristics, Vocational Education
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Kangas, Timothy C.; Cook, Michelle; Rule, Audrey C. – Journal of STEM Arts, Crafts, and Constructions, 2017
Gifted students, because of their advanced development compared to peers, have emotional needs that require differentiated education programs. Asynchronous social and emotional development of gifted students often leads to identity issues. Cinematherapy can be used to help gifted students explore their identities through analysis of the actions of…
Descriptors: Academically Gifted, Student Needs, Individualized Instruction, Identification (Psychology)
Lang, Charles William McLeod – ProQuest LLC, 2015
Personalization, the idea that teaching can be tailored to each students' needs, has been a goal for the educational enterprise for at least 2,500 years (Regian, Shute, & Shute, 2013, p.2). Recently personalization has picked up speed with the advent of mobile computing, the Internet and increases in computer processing power. These changes…
Descriptors: Individualized Instruction, Electronic Learning, Mathematics, Bayesian Statistics
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Rhim, Lauren Morando; Lancet, Stephanie – Center on Reinventing Public Education, 2018
Charter schools--public schools that receive greater autonomy from district and state regulations in return for greater accountability--present opportunities to provide exemplary and innovative supports and services to students with disabilities. Charter schools' freedom to innovate enables them to create and offer new models and practices, much…
Descriptors: Disabilities, Public Schools, Charter Schools, Educational Innovation
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Rhim, Lauren Morando; Lancet, Stephanie – Center on Reinventing Public Education, 2018
Charter schools--public schools that receive greater autonomy from district and state regulations in return for greater accountability--present opportunities to provide exemplary and innovative supports and services to students with disabilities. Charter schools' freedom to innovate enables them to create and offer new models and practices, which…
Descriptors: Disabilities, Public Schools, Charter Schools, Educational Innovation
York, Benjamin N. – Center for Education Policy Analysis at Stanford University, 2014
Teachers require knowledge of the unique skills that each child brings to the classroom in order to effectively target instruction towards students' learning needs. Despite substantial investments in programs aimed at enhancing teacher knowledge of individual students' skills (KISS), we know surprisingly little about how KISS is distributed or how…
Descriptors: Kindergarten, Preschool Teachers, Elementary School Teachers, Grade 1
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Santangelo, Tanya; Tomlinson, Carol Ann – Action in Teacher Education, 2012
Using a cross-sectional survey design, this study was conducted to explore teacher educators' perceptions and use of differentiated instruction practices. Data were collected using an original questionnaire that was designed to reflect Tomlinson's model of differentiation. Although the results suggest some congruence between teacher educators'…
Descriptors: Individualized Instruction, Teacher Attitudes, Teacher Educators, Teacher Surveys
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Merrill, M. David – 1984
This chapter presents the theory and research underlying Merrill's concept of learner control as an instructional system. Three levels of learner control--content-control, display-control, and control of conscious-cognitive processing--and efforts to manipulate these variables are described, and a model of external and internal learner control is…
Descriptors: Individualized Instruction, Instructional Systems, Models, Pacing
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Vasquez, James Alan – NABE: The Journal for the National Association for Bilingual Education, 1989
Presents a model for formulating effective instructional strategies based on observed traits of language minority students. Defines instructional strategy in terms of content, physical and psychological setting, and delivery mode. Provides specific examples of model implementation. Contains 13 references. (SV)
Descriptors: Diagnostic Teaching, Elementary Secondary Education, Individual Characteristics, Individualized Instruction
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