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Cindy Peng; Conrad Borchers; Vincent Aleven – Grantee Submission, 2024
Prior studies identified effective, but mainly non-digital, homework aids. This research involved 18 middle school students in a lo-fi prototyping study to integrate traditional homework support tools with intelligent tutoring systems (ITS), leveraging rich log data for personalized learning. Feature investigations in standardized diaries, goal…
Descriptors: Middle School Students, Intelligent Tutoring Systems, Homework, Design
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Rodríguez-Martínez, José Antonio; González-Calero, José Antonio; Olmo-Muñoz, Javier; Arnau, David; Tirado-Olivares, Sergio – British Journal of Educational Technology, 2023
This study analyses the potential of a learning analytics (LA) based formative assessment to construct personalised teaching sequences in Mathematics for 5th-grade primary school students. A total of 127 students from Spanish public schools participated in the study. The quasi-experimental study was conducted over the course of six sessions, in…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Mathematics Instruction
Lisa Marie Niemi – ProQuest LLC, 2021
For many educators and their students, homework is part of standard school practice. Homework as an exercise is not nearly as important as its intended purpose. The common intent for assigning homework is for students to practice recently obtained skills and knowledge as well as expanding individual understanding. Unfortunately, changes in…
Descriptors: Individualized Instruction, Formative Evaluation, Homework, Academic Achievement
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Baker, Ryan; Ma, Wei; Zhao, Yuxin; Wang, Shengni; Ma, Zhenjun – International Educational Data Mining Society, 2020
With the development of personalized learning in technological platforms, more data and information are given to instructors on what contents are appropriate for a learner's next step, with an aim of helping them support their students in navigating an optimized learning path that can promote an enhanced learning outcome. In this study, we…
Descriptors: Individualized Instruction, Electronic Learning, Learning Theories, Cognitive Development
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Beigie, Darin – Mathematics Teaching in the Middle School, 2011
Providing student choice and opportunities for independent study are recognized as viable differentiation techniques. Daily homework sets that contain more demanding problems even though not required allow the teacher to provide challenge without incurring undue stress. The modest incentive of some homework bonus points is enough to whet the…
Descriptors: Homework, Independent Study, Problem Solving, Middle Schools
Hepworth, A. J. – ProQuest LLC, 2014
The purpose of this study was to investigate how engagement, mood and number of assignments completed on computerized differentiated homework using an iPad in a one-to-one mobile device environment influenced the growth index and normalized gain in reading literature benchmark assessments of students in grades five, six, and seven. Furthermore,…
Descriptors: Learner Engagement, Homework, Assignments, Psychological Patterns
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Lauria, Jennifer – Kappa Delta Pi Record, 2010
Many children are in dire need of differentiated instruction to support their unique learning needs. Differentiated instruction seeks to maximize each student's growth by recognizing that students have different ways of learning, different interests, different ways of responding to instruction, and preferred ways of learning or expressing…
Descriptors: Educational Strategies, Homework, Cognitive Style, Individualized Instruction
McAllister, Deborah A., Ed.; Cutcher, Cortney L., Ed. – Online Submission, 2011
As a part of the teacher licensure program at the graduate level at The University of Tennessee at Chattanooga (UTC), the M.Ed. Licensure candidate is required to complete an action research project during a 3-semester-hour course that coincides with the 9-semester-hour student teaching experience. This course, Education 5900 Culminating…
Descriptors: Action Research, Research Projects, Student Attitudes, Economics Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection