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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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Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
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Lynne Telesca – Language, Speech, and Hearing Services in Schools, 2024
Purpose: Writing is an essential skill that secondary students need to establish for success in their further education, careers, and lives. However, most secondary students in the United States do not achieve the level of writing proficiency expected to ensure academic and future success. One approach that is emerging more in the research…
Descriptors: Metalinguistics, Writing Instruction, Secondary School Students, Teaching Methods
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Khakpour, Alireza; Colomo-Palacios, Ricardo – Technology, Knowledge and Learning, 2021
Recent developments in human-computer interaction technologies raised the attention towards gamification techniques, that can be defined as using game elements in a non-gaming context. Furthermore, advancement in machine learning (ML) methods and its potential to enhance other technologies, resulted in the inception of a new era where ML and…
Descriptors: Game Based Learning, Artificial Intelligence, Man Machine Systems, Educational Benefits
Wilhelmina Van Dijk; Cynthia U. Norris; Stephanie Al Otaiba; Christopher Schatschneider; Sara A. Hart – Grantee Submission, 2022
This manuscript provides information on datasets pertaining to Project KIDS. Datasets include behavioral and achievement data for over 4,000 students between five and twelve years old participating in nine randomized control trials of reading instruction and intervention between 2005-2011, and information on home environments of a subset of 442…
Descriptors: Data, Reading Instruction, Intervention, Family Environment
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Nadira, Benmedakhene; Makhlouf, Derdour; Amroune, Mohamed – International Journal of Web-Based Learning and Teaching Technologies, 2021
The success of MOOC (massive open online courses) is rapidly increasing. Most educational institutions are highly interested in these online platforms, which embrace intellectual and educational objectives and provide various opportunities for lifelong learning. However, many limitations, such as learners' diversity, lack of motivation, affected…
Descriptors: Individualized Instruction, Computer Assisted Instruction, Online Courses, Open Education
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Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
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Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
Tai Trong Bui; Son Truong Nguyen – Online Submission, 2023
This study addresses a gap in the literature regarding the implementation of digital strategies in educational institutions, particularly universities. Despite significant advancements in the development of digital strategies, there remains a lack of commitment and vision for their effective implementation. This study systematically reviewed the…
Descriptors: Meta Analysis, Educational Change, Teaching Methods, Learning Processes
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Metz, Kelly K. – Odyssey: New Directions in Deaf Education, 2017
Educators of deaf and hard of hearing students must close the gap that too often exists between a student's grade level and his or her actual achievement. Delays in developing and using English can lead naturally to delays in overall academic performance, and sometimes the gap between the student's grade level and his or her academic performance…
Descriptors: Deafness, Hearing Impairments, Success, Teacher Expectations of Students
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Thompson, Greg; Cook, Ian – Discourse: Studies in the Cultural Politics of Education, 2017
Big Data and Learning Analytics' promise to revolutionise educational institutions, endeavours, and actions through more and better data is now compelling. Multiple, and continually updating, data sets produce a new sense of "personalised learning." A crucial attribute of the datafication, and subsequent profiling, of learner behaviour…
Descriptors: Individualized Instruction, Educational Research, Data Collection, Data Analysis
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Decuypere, Mathias – European Educational Research Journal, 2019
Open Education (OE), a generic term for a collection of practices that seek to broaden the access to education through digital means, has gained increasing traction and popularity over the last years and from various corners, both globally and in European circles. Rather than taking the technologies OE makes use of at face value, this article…
Descriptors: Open Education, Access to Education, Online Courses, Electronic Learning
Horn, Michael B.; Fisher, Julia Freeland – Educational Leadership, 2017
The Clayton Christiansen Institute maintains a database of more than 400 schools across the United States that have implemented some form of blended learning, which combines online learning with brick-and-mortar classrooms. Data the Institute has collected over the past six months suggests three trends as this model continues to evolve and mature.…
Descriptors: Blended Learning, Data Collection, Educational Trends, Individualized Instruction
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Aguilar, Stephen J. – TechTrends: Linking Research and Practice to Improve Learning, 2018
We are still designing educational experiences for the "average" student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the…
Descriptors: Instructional Design, Social Justice, Educational Research, Data Collection
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Lim, Lisa-Angelique; Dawson, Shane; Gaševic, Dragan; Joksimovic, Srecko; Fudge, Anthea; Pardo, Abelardo; Gentili, Sheridan – Australasian Journal of Educational Technology, 2020
Although technological advances have brought about new opportunities for scaling feedback to students, there remain challenges in how such feedback is presented and interpreted. There is a need to better understand how students make sense of such feedback to adapt self-regulated learning processes. This study examined students' sense-making of…
Descriptors: Individualized Instruction, Learning Analytics, Data Collection, Student Attitudes
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