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If You Can Program You Can Write: Learning Introductory Programming across Literacy Levels

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Hassenfeld, Ziva R.; Govind, Madhu; de Ruiter, Laura E.; Bers, Marina Umaschi – Journal of Information Technology Education: Research, 2020

Aim/Purpose: This paper presents findings on a curricular intervention aimed at integrating computer programming with reading and writing in early elementary school. The purpose of this research was to explore the relation between students' varying literacy levels and their level of success in mastering an introductory programming language.…

Descriptors: Programming, Teaching Methods, Introductory Courses, Scores

Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Mobile Learning (13th, Budapest, Hungary, April 10-12, 2017)

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Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017

These proceedings contain the papers and posters of the 13th International Conference on Mobile Learning 2017, which was organised by the International Association for Development of the Information Society (IADIS), in Budapest, Hungary, April 10-12, 2017. The Mobile Learning 2017 Conference seeks to provide a forum for the presentation and…

Descriptors: Conference Papers, Telecommunications, Handheld Devices, Educational Technology

Proceedings of the Seventh International Conference on Educational Data Mining (EDM) (7th, London, United Kingdom, July 4-7, 2014)

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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