The application of PhET simulation to teach gas behavior on the submicroscopic level: secondary school students’ perceptions

Correia, Ana‐Paula; Koehler, Natalya; Thompson, Ann D.; Phye, Gary D.

doi:10.1080/02635143.2018.1487834

Cited by 34 publications

(26 citation statements)

References 37 publications

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“…This is consistent with research in science education that states virtual laboratory simulations can be used to promote students' conceptual understanding and improve students' attitudes about the content where students can experiment, visualize, and construct representations that can help in improving long term memory of what is being learnt (Hsu et al, 2017). In one study, the authors reported that the use of PhET led to a positive learning experience for the students, as well as, worth the time and effort by the students (Correia et al, 2019). Furthermore, in one research study, authors report that PhET simulations improved conceptual understanding and motivation in High School physics class (Prima et al, 2018).…”

Section: Resultssupporting

confidence: 66%

Examining the Use of PhET Simulations on Students’ Attitudes and Learning in General Chemistry II

Salame

Makki

2021

INTERDISCIPLINARY J ENV SCI ED

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Chemistry is considered difficult to students to learn because many of its concepts are abstract in nature and require visualization at the sub-microscopic level of representation. Physics Education Technology (PhET) offers students the ability to understand and relate both chemical systems and what is happening at the sub-microscopic level through dynamic visualization. Simulations like PhET can be used as a powerful transformative tool for the teaching and learning of science. The research design and paradigm goal is to investigate the students' perceptions on the impact of PhET simulations on their learning and attitudes and to identify PhET's most helpful features. The data gathering tool in this research project is a survey that comprised of Likert-type and open-ended questions that was handed out to students who have completed General Chemistry II and were acquainted with PhET simulations as part of their laboratory sessions. The research took place at the City College of New York, an urban, minority serving, and public college. The number of research participants is 158. The implications of the research findings are PhET interactive simulations have an overall positive impact on students' attitudes and perceptions about learning, PhET simulations promote students' development of conceptual understanding of chemistry concepts and content, PhET simulations seem to promote and facilitate learning and understanding of abstract concepts, and PhET simulations furnish learning opportunities that otherwise cannot be attained in a traditional laboratory setting. The data presented in this paper support the notion that there is a need to update and modify general chemistry laboratories to reflect emerging technologies such as PhET interactive simulations.

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Section: Resultssupporting

confidence: 66%

Examining the Use of PhET Simulations on Students’ Attitudes and Learning in General Chemistry II

Salame

Makki

2021

INTERDISCIPLINARY J ENV SCI ED

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“…e principle of extracting a key frame is better to make mistakes than to make fewer mistakes, and the basic requirement of extracting a key frame is to represent the main content of shot more completely and accurately [6][7][8]. In order to realize the key frame extraction of competitive aerobics video, the flow of the key frame extraction method based on subshot segmentation of a double-threshold sliding window and fully connected graph is designed as shown in Figure 1.…”

Section: Key Frame Extraction Methods Based On Subshot Segmentation Of a Double-reshold Sliding Window And Fullymentioning

confidence: 99%

An Online Arrangement Method of Difficult Actions in Competitive Aerobics Based on Multimedia Technology

Li¹

2021

Security and Communication Networks

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In accordance with the development trend of competitive aerobics’ arrangement structure, this paper studies the online arrangement method of difficult actions in competitive aerobics based on multimedia technology to improve the arrangement effect. RGB image, optical flow image, and corrected optical flow image are taken as the input modes of difficult action recognition network in competitive aerobics video based on top-down feature fusion. The key frames of input modes in competitive aerobics video are extracted by using the key frame extraction method based on subshot segmentation of a double-threshold sliding window and fully connected graph. Through forward propagation, the score vector of video relative to all categories is obtained, and the probability score of probability distribution is obtained after normalization. The human action recognition in competitive aerobics video is completed, and the online arrangement of difficult action in competitive aerobics is realized based on this. The experimental results show that this method has a high accuracy in identifying difficult actions in competitive aerobics video; the online arrangement of difficult actions in competitive aerobics has obvious advantages, meets the needs of users, and has strong practicability.

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“…If you define the relationship between the front and back sentences and the front and back phonemes and the current phoneme in detail and use these relationships to generate synthesized speech in the synthesis stage, then it is inevitable. It will make the grammatical ordering of phonemes more in line with language habits, resulting in synthetic sentences with higher intelligibility and naturalness [9]. e literature [10,11] makes a comprehensive and detailed analysis of this theory from the background, knowledge, contextuality of cognition and learning, assumptions, and basic characteristics of contextual learning and contextual cognition.…”

Section: Introductionmentioning

confidence: 99%

Emotional Interactive Simulation System of English Speech Recognition in Virtual Context

2020

Complexity

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With the development of virtual scenes, the degree of simulation and functions of virtual reality have been very complete, providing a new platform and perspective for teaching design. Firstly, the hidden Markov chain model is used to perform emotion recognition on English speech signals. English speech emotion recognition and speech semantic recognition are essentially the same. Hidden Markov style has been widely used in English speech semantic recognition. The experiments of feature extraction and pattern recognition of speech samples prove that Hidden Markovian has higher recognition rate and better recognition effect in speech emotion recognition. Secondly, combining the human pronunciation model and the hearing model, by analyzing the impact of the glottis feature on the human ear hearing-model feature, the research application of the English speech recognition emotion interactive simulation system uses the glottis feature to compensate the human ear, hearing feature is proposed by compensated English speech recognition, and emotion interaction simulation system is used in the English speech emotion experiment, which has obtained a high recognition rate and showed excellent performance.

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The application of PhET simulation to teach gas behavior on the submicroscopic level: secondary school students’ perceptions

Cited by 34 publications

References 37 publications

Examining the Use of PhET Simulations on Students’ Attitudes and Learning in General Chemistry II

Examining the Use of PhET Simulations on Students’ Attitudes and Learning in General Chemistry II

An Online Arrangement Method of Difficult Actions in Competitive Aerobics Based on Multimedia Technology

Emotional Interactive Simulation System of English Speech Recognition in Virtual Context

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