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Direct linkWonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
Download full textBoulden, Danielle Cadieux – Knowledge Quest, 2015
Learning analytics has been defined as the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. The potential use of data and learning analytics in educational contexts has caught the attention of educators and…
Descriptors: Educational Research, Data Collection, Data Analysis, School Libraries
Barrance, Rhian; Elwood, Jannette – Oxford Review of Education, 2018
This paper presents data that consider ways in which young people experience the curriculum through the lens of subject examination syllabuses (for GCSEs), their associated assessment techniques and structures, and educational policies at national and school level concerning subject choice. Drawing upon an original qualitative dataset from a…
Descriptors: Foreign Countries, Secondary School Students, Student Attitudes, Exit Examinations
Wylie, E. Caroline – ETS Research Report Series, 2017
The "Winsight"™Assessment System integrates summative, interim (including both benchmark assessments and testlets), and formative assessment components initially focused on mathematics and English language arts (ELA) in Grades 3-8 and high school.This report provides a preliminary theory of action for the Winsight Assessment System. A…
Descriptors: Student Evaluation, Evaluation Methods, Summative Evaluation, Formative Evaluation
Luo, Mingchu – Educational Administration Quarterly, 2008
Background: Accountability demands are increasingly pushing school leaders to explore more data and do more sophisticated analyses. Data-driven decision making (DDDM) has become an emerging field of practice for school leadership and a central focus of education policy and practice. Purpose: This study examined principals' DDDM practices and…
Descriptors: Research Design, Structural Equation Models, Vision, Decision Making
Rao, Patricia A.; Holtz, Kristen D.; Ziegert, Amanda; Brown, Shana – Organization for Autism Research, 2003
Parents of children with autism face many challenges that arise from the practical, day-to-day issues of living with autism. The specific goals of this guide are to help parents: (1) Find information about autism; (2) Distinguish between research-based and non-research-based information; (3) Become savvy consumers of information by giving them the…
Descriptors: Parent Materials, Autism, Parents, Child Rearing
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
