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Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
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
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
Australian Council for Educational Research, 2022
What happens in schools can have a great and lasting impact on the future wellbeing and outcomes for young people. Schools therefore play an important role in supporting students' engagement and wellbeing. These elaborations are intended to support the work of schools by providing further specificity about the practices in each of the nine domains…
Descriptors: Educational Improvement, Learner Engagement, Well Being, Academic Achievement
Squires, John; Roberts, Maxine T. – Education Commission of the States, 2021
The growing divides across the educational spectrum all underscore the need to change systems to promote the talents and success of every student, particularly those who are racially minoritized or poverty-impacted within a state. Enacting a process to establish policy that addresses the needs of these student groups can help create the conditions…
Descriptors: Equal Education, Disadvantaged Youth, Economically Disadvantaged, Educational Policy
New Data, Old Tensions: Big Data, Personalized Learning, and the Challenges of Progressive Education
Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
NGA Center for Best Practices, 2012
In fewer than 10 years, states and districts have taken bold steps to build and improve systems that collect data about students, staffing and expenditures, but the data do not often provide adequate information to guide policy and practice. Increasing amounts of data are now available to parents, educators, researchers and policymakers. However,…
Descriptors: Expenditures, Data Collection, Individualized Instruction, Educational Policy
Sterrett, William; Fiddner, Peter; Gilman, Chris – Consortium for Research on Educational Accountability and Teacher Evaluation (NJ1), 2010
Today's building level instructional leader is faced with an enormous challenge in ensuring that all students are meeting end-of-year proficiency targets. The current climate of accountability, particularly in regards to high-stakes end-of-year assessments has placed the burden of assessment upon students, parents, teachers, team or department…
Descriptors: Formative Evaluation, Mathematics Instruction, High Stakes Tests, Student Evaluation
Wong, Lung-Hsiang; Looi, Chee-Kit – Interactive Learning Environments, 2012
The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…
Descriptors: Electronic Learning, Entomology, Educational Technology, Individualized Instruction
Bienkowski, Marie; Feng, Mingyu; Means, Barbara – Office of Educational Technology, US Department of Education, 2012
As more of commerce, entertainment, communication, and learning are occurring over the Web, the amount of data online activities generate is skyrocketing. Commercial entities have led the way in developing techniques for harvesting insights from this mass of data for use in identifying likely consumers of their products, in refining their products…
Descriptors: Teaching Methods, Learning Processes, Data Analysis, Barriers
Herrmann, Mariesa; Dragoset, Lisa; James-Burdumy, Susanne – National Center for Education Evaluation and Regional Assistance, 2014
The federal School Improvement Grants (SIG) program aims to improve student achievement by promoting the implementation of four school intervention models: transformation, turnaround, restart, and closure. Previous research provides evidence that low-performing schools adopt some practices promoted by the four models, but little is known about how…
Descriptors: Grants, Federal Programs, Low Achievement, Intervention
Kaplan, Claire; Chan, Roy – National Center on Time & Learning, 2012
This report reshapes the field for expanded-time schools by outlining specific practices that can lead to dramatic increases in student achievement and preparation for success in college and the workforce. This report offers an in-depth examination of 30 expanded-time schools serving high-poverty populations with impressive track records of…
Descriptors: Academic Achievement, School Schedules, Time Management, Time Factors (Learning)
Chang, Mido – Journal of Educational Research, 2008
The author examined the long-term effects of teacher instructional grouping practices on the early mathematical achievement of language minority students from various ethnic groups. The study used 3 longitudinal models. In the 1st model, English language learners (ELLs) displayed lower math performance than did English-only students in the…
Descriptors: Language Minorities, Social Class, Class Activities, Individual Activities
Wang, Feng-Hsu – Educational Technology & Society, 2008
The WWW is now in widespread use for delivering on-line learning content in many large-scale education settings. Given such widespread usage, it is feasible to accumulate data concerning the most useful learning experiences of past students and share them with future students. Browsing events that depict how past students utilized the learning…
Descriptors: Feedback (Response), Instructional Materials, Internet, Models
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