Special Issue "Integrating Sensor Technologies in Educational Settings"
Deadline for manuscript submissions: 31 October 2021.
Interests: educational data mining; teacher professional development; digital libraries; online education; computational thinking; computer science education
Interests: materiality of science learning communities; place-based computational thinking; epistemic agency; informal STEM learning; sociopolitical perspectives and educational equity
Interests: effective science learning and teaching; phenomena-driven learning; NGSS-aligned 3D learning and formative assessment; computational thinking; pedagogical content knowledge; teacher professional learning
Just as sensor technologies are deeply impacting engineering and scientific practices, so too are they increasingly becoming integrated in educational settings to support innovative learning activities. The growing availability of low-cost, portable sensors can be deployed to collect real-time measurements of properties from the surrounding world, for example light, temperature, magnetism, acceleration, sound, and CO2. When coupled with microcontrollers (such as the micro:bit), sensor data streams can be easily programmed to control the behaviors of actuators and data displays, thereby making the invisible visible, inspectable, and actionable.
This Special Issue will provide a forum for describing innovative approaches to using programmable sensor technologies in a range of educational settings.
Papers are solicited on the general theme of this issue. Topics of interest include, but are not limited to:
- Reviewing the use of sensor technology in education settings;
- Describing the development of science and data science instructional materials that integrate sensor technology;
- Investigating how students engage in authentic scientific practices through exploring phenomena using sensor technology;
- Describing the development of real-time data displays of sensor data streams to support learning;
- Supporting the development of students’ computational thinking in sensor-based instructional materials; and
- Describing the development of physical computing learning environments integrating sensor technology.
Prof. Dr. Mimi Recker
Dr. Colin Hennessy Elliott
Dr. Quentin Biddy
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- science inquiry
- computational thinking
- science and data science education