Kun-Hwang Chien
Assistant Professor, Department of Computer Science and Information Engineering Nanya Institute of Technology, Taoyuan City, Taiwan
E-mail：khchien.cs@gmail.com
Abstract
This study aims to mitigate “learned helplessness” in Reserve Officers’ Training Corps (ROTC) students during cloud computing labs, stemming from the cognitive dissonance between military discipline and the iterative nature of cloud technology. By implementing the SIAL (Signalize, Init, Ask, Little wins) “Error-to-Cues” model, the study helps students reframe technical errors as diagnostic cues rather than personal failures. Using a single-group pre-post design, Perceived Academic Control (PAC) and self-efficacy serve as primary outcome measures. Expected results indicate that the SIAL model significantly reduces error-related anxiety and enhances task performance through structured debugging paths.
Keywords：Learned Helplessness, SIAL Model, AWS, Perceived Academic Control, ROTC Students