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This paper presents two educational gamified virtual labs and investigates different methods of including gamified elements in virtual labs used for teaching. The purpose of this study is to investigate if immersive gamified virtual labs can be used as effective pedagogical tools by properly incorporating them into higher education curricula to assist low-risk active learning and student engagement.

This research design comprises two gamified virtual labs including nine essential experiments of biology and chemistry integrated into the higher education curriculum of the Foundation of Science at an international University. Students filled in a survey after participating in the lab to shed light on appropriate ways of using gamification approaches in virtual labs.

From the predominant findings of the study, gamified virtual labs increase student involvement thereby enhancing knowledge development with active learning and may be a potentially suitable pedagogical tool for low-risk interactive learning.

Limitations of the study include findings based on gamified virtual labs but not comparing the gamified virtual labs to simple virtual simulations to further investigate the pedagogical approach and understand the student perceptions in a simple virtual simulation and a gamified virtual lab.

The findings of this study will provide evidence that gamified virtual labs integrated into higher education curricula as supplementary tools for laboratory experimentation improve the educational delivery process.

This research highlights an appropriate way of integrating 3D virtual labs into practical curricula while discussing the benefits.

Devices for step estimation are body-worn devices used to compute steps taken and/or distance covered by the user. Even though textiles or clothing are foremost to come to mind in terms of articles meant to be worn, their prominence among devices and systems meant for cadence is overshadowed by electronic products such as accelerometers, wristbands and smart phones. Athletes and sports enthusiasts using knee sleeves should be able to track their performances and monitor workout progress without the need to carry other devices with no direct sport utility, such as wristbands and wearable accelerometers. The purpose of this study thus is to contribute to the broad area of wearable devices for cadence application by developing a cheap but effective and efficient stride measurement system based on a knee sleeve.

A textile strain sensor is designed by weft knitting silver-plated nylon yarn together with nylon DTY and covered elastic yarn using a 1 × 1 rib structure. The area occupied by the silver-plated yarn within the structure served as the strain sensor. It worked such that, upon being subjected to stress, the electrical resistance of the sensor increases and in turn, is restored when the stress is removed. The strip with the sensor is knitted separately and subsequently sewn to the knee sleeve. The knee sleeve is then connected to a custom-made signal acquisition and processing system. A volunteer was employed for a wearer trial.

Experimental results establish that the number of strides taken by the wearer can easily be correlated to the knee flexion and extension cycles of the wearer. The number of peaks computed by the signal acquisition and processing system is therefore counted to represent stride per minute. Therefore, the sensor is able to effectively count the number of strides taken by the user per minute. The coefficient of variation of over-ground test results yielded 0.03%, and stair climbing also obtained 0.14%, an indication of very high sensor repeatability.

The study was conducted using limited number of volunteers for the wearer trials.

By embedding textile piezoresistive sensors in some specific garments and or accessories, physical activity such as gait and its related data can be effectively measured.

To the best of our knowledge, this is the first application of piezoresistive sensing in the knee sleeve for stride estimation. Also, this study establishes that it is possible to attach (sew) already-knit textile strain sensors to apparel to effectuate smart functionality.