TY - JOUR
T1 - Unlocking the Secrets of Student Success in Low-Code Platforms
T2 - 2024 ASEE Annual Conference and Exposition
AU - Tsakalerou, Mariza
AU - Evangelou, Semira Maria
AU - Xenos, Michalis
N1 - Publisher Copyright:
© American Society for Engineering Education, 2024.
PY - 2024/6/23
Y1 - 2024/6/23
N2 - This paper presents a comprehensive exploration of students' experiences with low-code platforms, which emphasize high-level logic and functionality over intricate coding. This is achieved by utilizing pre-test and post-test questionnaires, Mendix Studio Pro as an exemplar of such platforms, and structured experimentation tasks. The pre-test captures participants' baseline perspectives, while the post-test examines shifts after hands-on interaction. The study addresses research questions concerning demographic correlations, coding backgrounds, attitude changes, coding performance, and qualitative insights. The experiment protocol includes an instructional video, demographic surveys, and three tasks. Descriptive statistics and statistical tests provide insights. Performance discrepancies between IT and non-IT backgrounds are statistically significant. Feedback indicates positive perceptions of low code.
AB - This paper presents a comprehensive exploration of students' experiences with low-code platforms, which emphasize high-level logic and functionality over intricate coding. This is achieved by utilizing pre-test and post-test questionnaires, Mendix Studio Pro as an exemplar of such platforms, and structured experimentation tasks. The pre-test captures participants' baseline perspectives, while the post-test examines shifts after hands-on interaction. The study addresses research questions concerning demographic correlations, coding backgrounds, attitude changes, coding performance, and qualitative insights. The experiment protocol includes an instructional video, demographic surveys, and three tasks. Descriptive statistics and statistical tests provide insights. Performance discrepancies between IT and non-IT backgrounds are statistically significant. Feedback indicates positive perceptions of low code.
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M3 - Conference article
AN - SCOPUS:85202036287
SN - 2153-5965
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
Y2 - 23 June 2024 through 26 June 2024
ER -