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Download full textSmolinski, Pawel Robert; Szostakowski, Marcin; Winiarski, Jacek – Electronic Journal of e-Learning, 2023
The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these…
Descriptors: Electronic Learning, Computer Software, Use Studies, Teacher Behavior
Direct linkSapounidis, Theodosios; Stamovlasis, Dimitrios; Demetriadis, Stavros – IEEE Transactions on Education, 2019
Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children's preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces. Background: The relevant literature mainly consists of…
Descriptors: Preferences, Profiles, Robotics, Introductory Courses
Waite, S. J.; Wheeler, S.; Bromfield, C. – Computers and Education, 2007
In this article, we report the observed differential uptake and use of computer programs and activities of seven boys and girls of high, medium and low attainment in a classroom in the UK where over 40 children aged 10 and 11 have a networked PC on their desk all day and every day. We observed the detail of what happened in the small space between…
Descriptors: Foreign Countries, Elementary Education, Individual Differences, Information Technology
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
Ainley, John; Fraillon, Julian; Freeman, Chris – Ministerial Council on Education, Employment, Training and Youth Affairs (NJ1), 2007
This report is based on the assessment of ICT (information and communication technology) literacy conducted in October 2005. It describes the development of a computer-based tool for assessing ICT literacy among school students and the application of that tool with a nationally representative sample of approximately 7,400 students from Years 6 and…
Descriptors: Familiarity, Computer Software, Information Technology, Information Sources
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
