Achieving educational goals in microscopy education by adopting virtual reality labs on top of face-to-face tutorials

Paxinou, Evgenia; Γεωργίου, Μάρθα; Kakkos, Vasilis; Kalles, Dimitris; Galani, Apostolia

doi:10.1080/02635143.2020.1790513

Cited by 22 publications

(14 citation statements)

References 31 publications

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“…Also, the VRG system encourages students in hands-on training by evaluating and discovering their unique strengths. The results about the effect of the operational skills training are in line with the literature [3,11,24].…”

Section: Discussionsupporting

confidence: 91%

“…A significant effect of game-based learning (GBL) in the VR environment, compared to non-GBL in the VR environment, promotes math knowledge test performance [17]. VR applications correctly answered different questions corresponding to Bloom's Taxonomy than the traditional face-to-face tutorials [24]. The authors found that students who presented in virtual reality appreciated the detailed and analytical feedback they received in the self-evaluation tests [33].…”

Section: Literature Reviewmentioning

confidence: 99%

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Effect of virtual reality guidance system on the overhaul teaching

Yang

Zhu

et al. 2022

Comp Applic In Engineering

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Students' learning motivation and gains in the professional training are essential criteria for evaluating the vocational teaching level. This study designed the virtual reality guidance (VRG) system to teach the skills of urban railway vehicle overhaul. The VRG system aims to improve students' enthusiasm and gains from learning. The system has two modules, teaching and experiment modules, respectively. The teaching module added the independent design mode and evaluation mode to guide students to participate in and enjoy the teaching system actively. The experiment randomly divided 80 urban railway vehicle engineering students into the experimental and control groups. Participants underwent the entire pretest, teaching, and posttest process. The results show that the VRG system endows students with more effective operational skills learning rather than traditional teaching methods. Also, the novel system can guide students to discover their professional advantages and enhance their enthusiasm for professional learning.

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Section: Discussionsupporting

confidence: 91%

Section: Literature Reviewmentioning

confidence: 99%

Effect of virtual reality guidance system on the overhaul teaching

Yang

Zhu

et al. 2022

Comp Applic In Engineering

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“…There are several research studies that explore whether in science courses, attending traditional educational scenarios in physical labs is more beneficial than following more novice teaching strategies that include interaction with virtual environments [ 5 , 36 , 37 , 40 , 43 , 53 ]. All researchers agree on the fact that physical labs play a unique role as it is a sine-qua-non in science [ 20 , 22 , 69 ], but more and more the VR technology reveals its substantial contribution to the successful achievement of the learning outcomes in laboratory courses.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Sequence Data with Markov Chain Models in Scientific Experiments

et al. 2021

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Virtual reality-based instruction is becoming an important resource to improve learning outcomes and communicate handson skills in science laboratory courses. Our study attempts first to investigate whether a Markov chain model can predict the students' performance in conducting an experiment and whether simulations improve learner achievement in handling lab equipment and conducting science experiments in physical labs. In the present study, three cohorts of graduate students are trained on a microscopy experiment using different teaching methodologies. The effectiveness of the teaching strategies is evaluated by observing the sequences of students' actions, while engaging in the microscopy experiment in real-lab situations. The students' ability in performing the science experiment is estimated by sequential analysis using a Markov chain model. According to the Markov chain analysis, the students who are trained via a virtual reality software exhibit a higher probability to perform the steps of the experiment without difficulty and without assistance than their fellow students who attend more traditional training scenarios. Our study indicates that a Markov chain model is a powerful tool that can lead to a dynamic evaluation of the students' performance in science experiments by tracing the students' knowledge states and by predicting their innate abilities.

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“…As a result of the research, they asserted that the environment they developed was supportive for understanding the details and had promising potential. In particular, Paxinou et al (2020) states that the use of VR microscopes contributed to students' ability to use light microscopy in traditional practices. Additionally; Zhou, Tang, Lin, and Han (2020) designed a microscope that can be used in an education environment with AR and VR technologies and stated that this developed tool contributed to the development of learning outcomes, positive emotions and motivate autonomous learning situations of the students.…”

Section: Introductionmentioning

confidence: 99%