Technology Acceptance Model Analysis of User Behavioral Intentions on IoT Smart Board Devices

The purpose of this study was to determine student acceptance of the use of IoT Smart Board devices in practicum activities during the pandemic. This study analyzes the factors that influence the acceptance of learning using IoT Smart Board using the Technology Acceptance Model (TAM). This research is quantitative descriptive research with path analysis. The study was modeled and analyzed using SEM AMOS. The research was conducted on the acceptance of IoT Smart Board devices in the State Polytechnic of Malang, East Java Province, Indonesia. The respondents of this study were 173 students. The results showed that the Perceived usefulness (PU) with the functionality (FL) and accessibility (AC) variables influenced the behavior intention (BI) of the IoT Smart Board device by 76.6%, while the Perceived Ease of Use with the functionality and accessibility variables affected the use of IoT devices. Smart Board by 76.6%. Overall independent variables affect the dependent variable by 60.2%.