A distance e‐learning platform for signal analysis and measurement using FFT

Chen, C. H.; Lin, Hsiung-Cheng

doi:10.1002/cae.20292

Cited by 6 publications

(4 citation statements)

References 38 publications

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“…Another study suggested that perceived self-efficacy is a critical factor that influences learners' course satisfaction, and perceived usefulness and satisfaction would affect learners' behavioural intention to use the courses (Liaw, 2008). Chen and Lin (2011) demonstrated that the satisfaction and perceived usefulness of the learning system would influence learners' behavioural intentions, and the quality of the learning system is the most critical factor. Another study on the continuous usage intention in mobile payments suggested that self-efficacy, satisfaction, and perceived usefulness are significant antecedents of the user's continuance intention (Gupta et al, 2020).…”

Section: Course Satisfactionmentioning

confidence: 99%

Exploring the factors of students' intention to participate in AI software development

Chen

et al. 2022

LHT

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PurposeAlthough many universities have begun to provide artificial intelligence (AI)-related courses for students, the influence of the course on students' intention to participate in the development of AI-related products/services needs to be verified. In order to explore the factors that influence students' participation in AI services and system development, this study uses self-efficacy, AI literacy, and the theory of planned behaviour (TPB) to investigate students' intention to engage in AI software development.Design/methodology/approachThe questionnaire was distributed online to collect university students' responses in central Taiwan. The research model and eleven hypotheses are tested using 151 responses. The testing process adopted SmartPLS 3.3 and SPSS 26 software.FindingsAI programming self-efficacy, AI literacy, and course satisfaction directly affected the intention to participate in AI software development. Moreover, course playfulness significantly affected course satisfaction and AI literacy. However, course usefulness positively affected course satisfaction but did not significantly affect AI literacy and AI programming self-efficacy.Originality/valueThe model improves our comprehension of the influence of AI literacy and AI programming self-efficacy on the intention. Moreover, the effects of AI course usefulness and playfulness on literacy and self-efficacy were verified. The findings and insights can help design the AI-related course and encourage university students to participate in AI software development. The study concludes with suggestions for course design for AI course instructors or related educators.

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Section: Course Satisfactionmentioning

confidence: 99%

Exploring the factors of students' intention to participate in AI software development

Chen

et al. 2022

LHT

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“…Once the “Stop“ button is pressed, data treatment starts. First, a Fast Fourier Transform (FFT) is applied [10,11] to detect the fundamental frequency of the recorded sound. In this first analysis, the frequency is not measured with very high precision however a first approximated value necessary for the next step is obtained.…”

Section: Introductionmentioning

confidence: 99%

Frequency analyser: A new Android application for high precision frequency measurement

Gómez-Tejedor

Castro-Palacio

Monsoriu

2015

Comp Applic In Engineering

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“…Now Web commerce has become one of the major businesses. [1][2][3][4] In recent years, cloud technology is being used increasingly in database management such as Web services, etc. [5][6][7][8][9][10] From an engineering view point, what the Internet and cloud can do more for us in industries?…”

Section: Introductionmentioning

confidence: 99%

Learning cloud service and Internet applications using automatic emergency lights checking system

Lin

Liu

2015

International Journal of Electrical Engineering & Education

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With increasing applications in cloud service and Internet, learning about how to use such technologies is an important topic for engineering students in the automation discipline. Unfortunately, the current textbooks usually do not supply sufficient material for this purpose. Therefore, this paper aims to provide a practical case study for students to learn more about a cloud service and Internet technology. The case uses a remote automatic emergency lights checking system via Internet and cloud technique. Based on transmission control protocol/Internet protocol, the remote computer can connect with the Nearby Computer for carrying out a remote monitoring and control mechanism. All checked outcomes received by the Nearby Computer can be automatically uploaded to the cloud site. The content using “learn by doing” concept is integrated with a lab project for a specific course so that it can help students learn efficiently. The expected outcomes, practical improvement, impact on student learning, performance assessment, and course evaluation are provided and discussed for details in terms of its value in enhancing the students’ learning in automation engineering.

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A distance e‐learning platform for signal analysis and measurement using FFT

Cited by 6 publications

References 38 publications

Exploring the factors of students' intention to participate in AI software development

Exploring the factors of students' intention to participate in AI software development

Frequency analyser: A new Android application for high precision frequency measurement

Learning cloud service and Internet applications using automatic emergency lights checking system

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