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Tsemach, Ehud; Zohar, Anat – International Journal of Science Education, 2021
This study explores the intersection of gender, sociocultural background, and argumentative socioscientific writing. It focuses on Jewish Ultra-Orthodox (Haredi) men and women who were educated in gender-segregated schools separated from the public education (PE) system in Israel. We compared argumentative essays written by these two groups to…
Descriptors: Gender Differences, Cultural Influences, Persuasive Discourse, Public Education
Janhonen, Kristiina Henrietta; Mäkelä, Johanna; Palojoki, Päivi – Health Education, 2016
Purpose: The purpose of this paper is to examine Finnish ninth grade pupils' (15-16 years) perspectives on hot school lunches and consider the potential of these perspectives as a resource for food and health education. Design/methodology/approach: Data include observations, essays, and visually elicitated focus group discussions from a larger…
Descriptors: Foreign Countries, Grade 9, Eating Habits, Lunch Programs
Annamalai, Nagaletchimee – Interactive Technology and Smart Education, 2017
Purpose: This study aims to explore how the Community of Inquiry (CoI) model (2000) is used to categorize students' and teachers' interactions in an asynchronous discussion and how these interactions are able to help students add quality to their narrative writing. Design/methodology/approach: The interactions were categorized based on teaching,…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Interaction
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