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Elhajjar, Samer; Borna, Shaheen – Marketing Education Review, 2023
This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…
Descriptors: Marketing, Teaching Methods, Competition, Statistics Education
Delserieys, Alice; Jégou, Corinne; Boilevin, Jean-Marie; Ravanis, Konstantinos – Research in Science & Technological Education, 2018
Background: This work is based on the idea that young children benefit from early introduction of scientific concepts. Few researches describe didactical strategies focusing on physics understanding for young children and analyse their effectiveness in standard classroom environments. Purpose: The aim is to identify whether didactical strategies…
Descriptors: Preschool Education, Preschool Children, Science Education, Scientific Concepts

Lyster, Roy; Ranta, Leila – Studies in Second Language Acquisition, 1997
Examined corrective feedback and learner response to feedback in four primary level immersion classes. Transcripts of classroom interactions from subject-matter and French language arts lessons were analyzed using a model comprising the various moves in an error treatment sequence. Findings reveal a strong tendency for teachers to use recasts…
Descriptors: Classroom Communication, Data Analysis, Elementary Education, Elementary School Students
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