ABSTRACT
This article describes a sensor-based physical computing system, called the Data Sensor Hub (DaSH), which enables students to process, analyze, and display data streams collected using a variety of sensors. The system is built around the portable and affordable BBC micro:bit microcontroller (expanded with the gator:bit), which students program using a visual, cloud-based programming environment intended for novices. Students connect a variety of sensors (measuring temperature, humidity, carbon dioxide, sound, acceleration, magnetism, etc.) and write programs to analyze and visualize the collected sensor data streams. The article also describes two instructional units intended for middle grade science classes that use this sensor-based system. These inquiry-oriented units engage students in designing the system to collect data from the world around them to investigate scientific phenomena of interest. The units are designed to help students develop the ability to meaningfully integrate computing as they engage in place-based learning activities while using tools that more closely approximate the practices of contemporary scientists as well as other STEM workers. Finally, the article articulates how the DaSH and units have elicited different kinds of teacher practices using student drawn modeling activities, facilitating debugging practices, and developing place-based science practices.
Subject(s)
Science , Humans , Schools , Students , WritingABSTRACT
This study investigated the relationship between adolescents' problematic Internet use (PIU) and demographic characteristics such as age, gender, and information and communication technology (ICT) literacy and the moderating effect of geographic area on this relationship using a cross-sectional research design. The study sample comprised 2160 adolescents from the Chongqing area of China and consisted of 47.3 percent boys (N = 1022) and 52.7 percent girls (N = 1138). Participants anonymously completed a 38-item questionnaire that examined their Internet use, behaviors, and attitudes, ICT literacy, parents' education level, and other demographic information. The results showed that the geographic area in which respondents lived (urban vs. rural), gender, age, father's education, mother's education, and ICT literacy had significant relationships with PIU. Moreover, hierarchical multiple regression analyses indicated that geographic area was found to be a significant moderator for both age and gender in their relationship with PIU. These findings suggest that it is essential to address differences between urban and rural areas when seeking to mitigate PIU among adolescents.
