Education and Learning Technologies
Abstract—Contribution: This paper presents a study that adds evidence to the field of computer education by focusing on the interaction between shapes of tables, group size and gender, and their effects on on-task collaborative learning actions. By studying the collaborative learning environment in the context of computer education, the aim is to understand how different on-task actions are affected by mentioned factors.
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This dataset intends to provide information of Sigueme la Corriente audience perception on its pedagogical value.
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Any work using this dataset should cite the following paper:
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Any work using this dataset should cite the following paper:
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Please cite the following paper when using this dataset:
N. Thakur, "Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions", Journal of Analytics, Volume 1, Issue 2, 2022, pp. 72-97, DOI: https://doi.org/10.3390/analytics1020007
Abstract
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In this brief,
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This dataset analyzes a survey delivered in 2019 to 259 experts in engineering education that asked them to forecast which information and communication technologies were most likely to impact the practice of engineering education based on the expert's discipline (electrical, electronics, mechanical, telecommunications engineering, computer science, etc.) and region.
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