Examination of the usability of Tinkercad application in educational robotics teaching by eye tracking technique

Abstract

Like all sectors, the education sector has been negatively affected by the Covid-19 pandemic. Considering the decision to conduct face-to-face training in schools remotely, teachers had many difficulties in moving course content to the online platform. Teachers who perform robotic coding applications are looking for ways to do these activities remotely. Simulators enable real objects to be animated in a computer environment. There are many paid and free platforms that simulate robotic coding tools. Arduino and Micro:bit, can be simulated on the Tinkercad platform. This study tests the usability of the Tinkercad platform by teachers. In usability tests, users are expected to complete the authentic tasks they must perform on the tested platform. In this study, 12 Information Technology teachers tried to complete 10 authentic tasks in the Circuits section of the Tinkercad platform. Eye movements have been recorded and analyzed while participants perform tasks. Surveys were applied to the participants and data were collected with the observation form during the tests. Consequently, the teachers who completed the usability tests stated that it is appropriate for the platform to be used by teachers and students over 10 years of age and that they can use the platform in their activities.

Evaluating computer science students reading comprehension of educational multimedia-enhanced text using scalable eye-tracking methodology

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Usability Analysis of Digital-Based Agricultural Product Marketing Platform at Farmers Level in Region V, Bogor Regency

“…Nielsen defines usability as a quality attribute that evaluates the usability of a user interface [15] and as one method that not only improves ease of use during the design process but also assesses how easy the user interface is to use [16]. Usability according to Nielsen is also a general method based on examining design interfaces [17]. The Nielsen model is more acceptable for measuring usability because the structure of quality characteristics is described more systematically and the place of use is clearly defined [15].…”

Towards Implementation of Emotional Intelligence in Human–Machine Collaborative Systems

“…Eye tracking-for attention recognition and state detection, by assessment of some parameters [15], e.g., pupil dilation [16,17], saccade and fixation duration [18]; • Facial expression recognition-for emotional and cognitive state detection [19][20][21]; • Electrocardiography (ECG), electrodermal activity (EDA) [22][23][24][25][26], and skin temperature sensors [27]-for assessment of the human body's physiological reactions related to stress, anxiety, agitation, cognitive load, etc. It was also shown that the detection of heart rate variability could be based on photoplethysmography (PPG) sensors integrated into wearable devices [28,29], as well as on traditional electrode-based technology integrated into plasters [30] or smart textiles [31,32]; • Electroencephalography (EEG) [33][34][35][36][37][38]-for capturing the cognition processes, even in cases of a lack of behavioral reaction caused by a specific stimulus.…”