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Download full textMoltudal, Synnøve; Høydal, Kjetil; Krumsvik, Rune Johan – Designs for Learning, 2020
Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
Direct linkSorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Hampshire, Patricia Korzekwa; Butera, Gretchen D.; Bellini, Scott – Preventing School Failure, 2016
Homework challenges are particularly relevant for students with autism spectrum disorders who demonstrate difficulty maintaining attention, motivation, and developing effective study skills. These challenges are often exacerbated for adolescents with disabilities who face a number of challenges during the middle school years. A multiple baseline…
Descriptors: Autism, Pervasive Developmental Disorders, Middle School Students, Self Management
Bourgeois, Steven J.; Boberg, John Eric – RMLE Online: Research in Middle Level Education, 2016
A substantial body of research has shown that academic intrinsic motivation/cognitive engagement decreases from grades three through eight (Lepper, Corpus, & Iyengar, 2005). This phenomenon is troubling if education is to be viewed as a process through which learning goals become gradually internalized and connected with one's sense of self.…
Descriptors: High Achievement, Student Motivation, Learner Engagement, Self Determination
Puustinen, Minna; Bernicot, Josie; Bert-Erboul, Alain – Learning and Instruction, 2011
The present study regarded the self-regulated vs. not-self-regulated function and the indirect vs. direct (i.e., polite vs. impolite) linguistic form of middle school students' requests for help. Natural data (149 requests were sent via an online homework-help forum by French-speaking seventh to ninth graders) was used. Nearly 60% of the requests…
Descriptors: Homework, Speech Communication, Grade 9, French
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Smith, Joshua S.; Feldwisch, Rachel; Abell, Amy – RMLE Online: Research in Middle Level Education, 2006
The study examined students' and parents' perceptions of the transition from middle school to high school in a large public school district in the Midwest. Mean comparisons of student and parent responses to the "Perceptions of Transition Survey" revealed similarities and differences in academic, social, and organizational areas.…
Descriptors: Courses, Safety, School Districts, Comparative Analysis
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Teaching Methods, Technological Literacy, Technology Uses in 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
