273 research outputs found

    Wireless Sensor networks and the Internet of Things

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    It is estimated that mobile internet devices that can act as sensors will outnumber humans this year (2013), and by 2015, there will be about 15 billion internet-connected devices. Related applications are thriving in commercial, civic, and scientific operations that involve sensors, web, and services, leading by both academic societies and industry companies. It is commonly accepted that the next generation of internet is becoming the “Internet of Things (IoT)” which is a worldwide network of interconnected objects and their virtual representations uniquely addressable based on standard communication protocols. Identified by a unique address, any object including computers, mobile phones, RFID tagged devices, and especially Wireless Sensor Networks (WSN) will be able to dynamically join the network, collaborate, and cooperate efficiently to achieve different tasks. With all these objects in the world equipped with tiny identifying devices, daily life on earth would undergo a big transformation

    Data of the Constructivist Practices in the Learning Environment Survey From Engineering Undergraduates: An Exploratory Factor Analysis

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    This paper presents the dataset of a questionnaire on first-year engineering undergraduates’ perceptions of constructivist practices in the learning environment. The questionnaire with a 5-Likert scale was adapted from previous research. The sample consisted of 293 first-year engineering undergraduates in the southwest region of the United States. The online questionnaire was sent to participants who completed it voluntarily at the end of Fall 2019. A total of 274 of 293 participants completed the questionnaire with a response rate of 93.515%. Exploratory factor analysis was conducted to test the underlying factor structure of the questionnaire, which serves as a good reference for future research

    What Women and Men Want in Online Product Reviews: Gender Effects on Review Helpfulness Perceptions

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    While academic researchers have studied online product reviews extensively, gender differences have received little attention in the context of online product reviews. This paper identifies important message features in online product reviews and examines which message features female and male consumers value more in evaluating the helpfulness of online product reviews. We collected data from real-world product reviews on Amazon.com and analyzed the data to test the proposed hypotheses. Based on the data analysis results, we find that, in determining helpfulness of online product reviews, female consumers consider more heavily average paragraph length, negative viewpoints, and inclusion of pictures. However, male consumers value positive viewpoints and usage of point format more in evaluating online product reviews. Based on the findings, important contributions to the literature are discussed
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