Role of E-Learning Readiness on Workload: Perspective Engineering and Non-Engineering Students

Abstract

Changes in learning methods from face-to-face to online learning due to pandemic covid-19 have an impact on student readiness in learning and the mental workload felt by students, that can determine the achievement of the learning process. There are differences in the characteristics of learning demands in engineering and non-engineering majors. Therefore, this study aims to evaluate the level of readiness and mental workload of students during the implementing full online learning based on the characteristics of the education department. Data collected by distributing online questionnaires to 180 students (90 students majoring in engineering and 90 students in non-engineering). Self-directed learning (SDL), technical readiness (TC), and comfort with non-face to face communication (CFT) used to measure e-learning readiness, meanwhile NASA TLX used to measure mental workload. Results showed differences between engineering and non-engineering students, especially in the Self-Directed Learning (p < 0,05). Non-engineering students perceived that they are more prepared to manage their learning process independently during online learning. Related to mental workload students perceive higher demands from online learning activities, the engineering group had higher level of time-related demands. According to correlation testing there was a negative and significant correlation between the self-directed learning dimension scores of E-Learning Readiness and the NASA TLX scores (p < 0,05). These results indicated the role of student’s e-learning readiness, especially self-directed learning readiness can reduce perceptions related to the mental workload experienced by engineering students in online learning. This condition was not applied on non-engineering students. Future study needed to explore the characteristics of study programs that relate to both variables and if the condition applied on other learning conditions such as hybrid learning.

Evaluasi Keamanan Sistem Informasi Menggunakan Fuzzy FMEA Berbasis Framework ISO/IEC 27001:2013 untuk Meningkatkan Keamanan Informasi

“…Dengan: 𝑟 𝑛 : reliabilitas yang dicari 𝑛 : Jumlah item pertanyaan yang diuji ∑𝜎𝑏 2 : Jumlah varian skor tiap-tiap item 𝜎 𝑡 2 : Varian total Berdasarkan rumus uji reliabilitas variabel penelitian diperoleh hasil pengujian Cronbach Alpha sebesar 0.969 yang berarti memiliki nilai reliabilitas tinggi . Kuesioner dikatakan reliable jika nilai cronbach alpha >0.6 (Suwarsono et al, 2022).…”