A Mixed Learning Approach in Mechatronics Education

Yılmaz, Özgür; Tunçalp, Koray

doi:10.1109/te.2010.2053932

Cited by 18 publications

(8 citation statements)

References 7 publications

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“…Consequently, the prior studies have provided meaningful contributions in students' CS prediction area of research [38], [39]. These literature are the primary source of inspiration for the proposed Bayesian Neural Network.…”

Section: Prediction Of Cognitive Skills Via Students Performancementioning

confidence: 99%

Deep Network for the Iterative Estimations of Students’ Cognitive Skills

et al. 2020

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The effective educational systems aimed at improving Cognitive Skills (CS) both in and out of institutions. Such system relies on timely prediction of CS during students' activities in intuitions. Meanwhile, literature is saturated with the number of approaches which have used study schedules, biological and environmental factors to predict CS. However, the loopholes in prior studies have become the main source of inspiration for the current attempt. In this study, we propose a Bayesian Neural Network which predicts CS by iterative manipulations of CS under the profound influence of Student's Basic Attributes. Initially, the study classifies the Basic Attributes into three factors (1.age group, 2. gender, and 3. parent's cohabitation status) which have multiple layers. Furthermore, the technique splits the range of CS into 20 periodic outcome variables (with a period of 0.5). Eventually, the network iteratively estimates each outcome of CS by feed-forward process through Basic Attributes layers. We have reviewed the performance of the proposed network by using a students' score dataset. The results have illustrated that the current technique obtained significant prediction accuracy in terms of accuracy measures.

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Section: Prediction Of Cognitive Skills Via Students Performancementioning

confidence: 99%

Deep Network for the Iterative Estimations of Students’ Cognitive Skills

et al. 2020

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“…The graphic referred to here is a vector-based graphic, so that when accessed via the internet, the animation will be displayed faster and look smoother [19]. In addition, Flash also can program graphics that provide reactivity between users in a learning management system [20]. Macromedia Flash has been produced in several versions.…”

Section: Figure 2 Classification Of Uml Diagram Typesmentioning

confidence: 99%

Interactive M-Learning Design Innovation using Android-Based Adobe Flash at WFH (Work From Home)

Voutama

Maulana

ade³

et al. 2021

SJI

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Work From Home (WFH) is an activity that is carried out at home with the flexibility to work both place and time with the help of telecommunications technology. The birth of WFH was caused by the impact of the Covid-19 pandemic, which forced all activities in various fields, including government, business, trade, education, and so on, to be carried out online through the use of technology. One thing that is affected is in the field of education, the teaching and learning process must be carried out online. The problem that occurs is the unpreparedness of the infrastructure and resources in the smooth running of the distance learning process. One of the steps to provide convenience in the distance learning process is to innovate in the field of technology by creating an Android-based M-Learning application with an interactive concept so that it not only provides simple learning but is also designed attractively and interactively so that student participants can interact directly with this M-Learning application. Interactive M-Learning applications are designed with UML (Unified Modeling Language) modeling and translated into applications using Adobe Flash and then implemented on Android mobile devices.

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“…Various universities around the world integrated mechatronics in their engineering programs, such as mechatronic engineering China , programs including universities and vocational schools , certificates and courses , workforce development courses , or postgraduate degree courses .…”

Section: Scada Systems In Education At Other Universitiesmentioning

confidence: 99%

Experiences in developing labs for a supervisory control and data acquisition course for undergraduate Mechatronics education

Šenk

Ostojić

Jovanović

et al. 2013

Comp Applic In Engineering

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This paper describes the course Systems for Supervision and Process Visualization that is conducted at the undergraduate studies of Mechatronics at University of Novi Sad, the scope, tasks, labs and hands on activities. In addition, it presents the student evaluation of the course that provided valuable feedback for further improvements. © 2013 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:54–62, 2015; View this article online at http://wileyonlinelibrary.com/journal/cae; DOI

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A Mixed Learning Approach in Mechatronics Education

Cited by 18 publications

References 7 publications

Deep Network for the Iterative Estimations of Students’ Cognitive Skills

Deep Network for the Iterative Estimations of Students’ Cognitive Skills

Interactive M-Learning Design Innovation using Android-Based Adobe Flash at WFH (Work From Home)

Experiences in developing labs for a supervisory control and data acquisition course for undergraduate Mechatronics education

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