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No Child Left Behind Act 20011
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Winne, Philip H. – International Journal of Artificial Intelligence in Education, 2021
Learner modeling systems so far formulated model learning in three main ways: a learner's "position" within a lattice of declarative and procedural knowledge about highly structured disciplines such as geometry or physics, a learner's path through curricular tasks compared to milestones, or profiles of a learner's achievements on a set…
Descriptors: Models, Student Characteristics, Access to Information, Learning Processes
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Abyaa, Abir; Khalidi Idrissi, Mohammed; Bennani, Samir – Educational Technology Research and Development, 2019
The field of adaptive e-learning is continuously developing. More research is being conducted in this area as adaptive e-learning aims to provide learners with adaptive learning paths and content, according to their individual characteristics and needs, which makes e-learning more efficient and effective. The learner model, which is a…
Descriptors: Learning Processes, Models, Electronic Learning, Literature Reviews
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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
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Lee, Stephen Man-Kit; Cui, Yanmengna; Tong, Shelley Xiuli – Review of Educational Research, 2022
A compelling demonstration of implicit learning is the human ability to unconsciously detect and internalize statistical patterns of complex environmental input. This ability, called statistical learning, has been investigated in people with dyslexia using various tasks in different orthographies. However, conclusions regarding impaired or intact…
Descriptors: Meta Analysis, Effect Size, Dyslexia, Statistics
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Sharon Wolf; Autumn Brown – Online Submission, 2023
Bringing together research from several lines of inquiry in psychology and education, this paper proposes a conceptual model for understanding how entrenched inequalities embedded within ecological macrosystems play out in the classroom to affect student learning. We consider how implicit teacher beliefs and belief expression affect…
Descriptors: Social Differences, Systems Approach, Teacher Attitudes, Models
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Tran, Tuan M.; Hasegawa, Shinobu – International Association for Development of the Information Society, 2022
A learner model reflects learning patterns and characteristics of a learner. A learner model with learning history and its effectiveness plays a significant role in supporting a learner's understanding of their strengths and weaknesses of their way of learning in order to make proper adjustments for improvement. Nowadays, learners have been…
Descriptors: Markov Processes, Learning Processes, Models, Scores
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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
Mariclea J. Treiber Chollet – ProQuest LLC, 2019
The purpose of this thesis was to identify ACPE Educators' and Supervisory Education Students' (SES) characteristics and educational practices promoting effective teaching, learning, and movement through the Supervisory CPE and the ACPE Certification Processes. Ten SESs and their primary CPE Educators were interviewed. Participants reflected on…
Descriptors: Mentors, Grounded Theory, Models, Teacher Effectiveness
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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
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Kasey A. Karen; Bruce A. Snyder; Rich Adams – American Biology Teacher, 2024
Growing evidence has come to suggest that model-based inquiry can improve student learning outcomes and attitudes toward STEM in the biological sciences and beyond. In our introductory biology laboratory course that focuses on cellular and molecular biology, we introduced model-based inquiry (MBI) labs to create a more student-focused course that…
Descriptors: Biology, Laboratory Experiments, Science Instruction, Undergraduate Students
Sarah E. McKellar; Ming-Te Wang – Grantee Submission, 2022
In spring 2020, the COVID-19 pandemic thrust nearly 56 million students in the United States into remote education. By fall 2020, states' and school districts' differing public health measures resulted in the adoption of varying COVID-adapted learning modalities (i.e., in-person, remote, and hybrid). Using daily diary data with a nationally…
Descriptors: Student School Relationship, Longitudinal Studies, COVID-19, Pandemics
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Mountain, Karen; Teviotdale, Wilma; Duxbury, Jonathan; Oldroyd, Jenny – Accounting Education, 2023
Our study aims to investigate whether engaging students with formative assessment and feedback activities could support students' self-regulation, improve performance and improve satisfaction with assessment. The intervention designs are implemented using a novel framework, developed for staff reflection, derived from a self-regulation learning…
Descriptors: Accounting, Undergraduate Students, Metacognition, Formative Evaluation
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Gray, Shelley; Lancaster, Hope; Alt, Mary; Hogan, Tiffany P.; Green, Samuel; Levy, Roy; Cowan, Nelson – Journal of Speech, Language, and Hearing Research, 2020
Purpose: We investigated four theoretically based latent variable models of word learning in young school-age children. Method: One hundred sixty-seven English-speaking second graders with typical development from three U.S. states participated. They completed five different tasks designed to assess children's creation, storage, retrieval, and…
Descriptors: Vocabulary Development, Grade 2, Elementary School Students, Expressive Language
Wiyanto; Widiyatmoko, Arif – Online Submission, 2016
According to 2013 Curriculum in Indonesia, science learning process in Junior High School is integrally held between physics, chemistry, biology, and earth science. To successfully implementing the 2013 Curriculum in school, the education institution which generates science teacher should prepare the student, so that they can develop integrative…
Descriptors: Integrated Curriculum, Science Education, Models, Curriculum Evaluation
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Magdin, Martin; Turcáni, Milan – Turkish Online Journal of Educational Technology - TOJET, 2015
Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…
Descriptors: Management Systems, Information Technology, Electronic Learning, Cognitive Style
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