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Advantages
Advantages
o MoBI is highly ideal for investigations of the human brain based on the embodied cognition paradigm which proposes that cognitive processes (for example, thinking, deciding and planning) are mainly embedded in and directed at the body’s interactions with the ever-changing environment (Jungnickel et al., 2019).
o MoBI overcomes the disadvantages of stationary experimental settings and allows experiments to be conducted outside of the lab (under naturalistic conditions) (Delaux et al., 2021; Gramann et al., 2017; Janssen et al., 2021; Jungnickel & Gramann, 2016; Jungnickel et al., 2019). Therefore, studies using MoBI can record ever-changing real-world classroom or workplace experiences and improve educational practices or inefficient work settings (Janssen et al., 2021; Jungnickel & Gramann, 2016).
o MoBI (especially mobile EEG) overcomes ethical limitations due to its non-invasive recording and analysis of brain activities. (Grasso-Cladera et al., 2022; Jungnickel & Gramann, 2016)
o The generality of MoBI approaches allows for various applications of MoBI data in different research fields (Jungnickel et al., 2019).
o With the availability of wearable mobile sensors, advanced data analyses and portable hardware, MoBI is a highly desirable investigating instrument for neuroergonomics studies (Gramann et al., 2017; Jungnickel & Gramann, 2016).
o Neuroscientific research is often considered incompatible with educational theory due to its challenges in generalizing the results to real-world learning/teaching. According to Janssen et al. (2021), this limitation is resolved by MoBI’s ability to capture real-world classroom experiences.
Limitations
Limitations
o The current overall view of the use of mobile technologies is overly optimistic, which may result in neglecting the disadvantages (Janssen et al., 2021).
o Hard to keep the experimental controls in naturalistic environments: real-world variables are multidimensional and affect each other unexpectedly. For example, “real-world learning situations are relatively unstructured, meaning that relevant events are not pre-established, relatively rare, and not always have clear onsets” (Janssen et al., 2021, p.9).
o According to Grasso-Cladera et al. (2022), the MoBI community currently lacks criteria or consensus for analyzing or visualizing MoBI data.
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