Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.63
Nik Ahmad Nizam Nik Malek, Corrienna ABDUL TALIB, Nur Shafina Mohd Nor, Ibrohim, J. Matmin, Siew Ling Lee, Praseetha Prabhakaran, N. S. Sani, Muhammad Khair Noordin
Nanomedicine, an emerging field at the intersection of nanotechnology and medicine, holds great promise for revolutionizing healthcare by enabling targeted diagnostics and treatments at the molecular level. However, due to its complex nature, understanding nanomedicine concepts and applications can be challenging for healthcare professionals, researchers, and the general public. To bridge this knowledge gap and promote awareness, a mobile application was developed to enhance the understanding of nanomedicine, and named it "MyNanoRia". The MyNanoRia was developed by initially designing suitable content, compiling information and creating the apps using Unity platform, specifically for the Android operating system. The MyNanoRia provides users with readily available knowledge about nanomedicine's concepts, methods, and applications as an interactive educational tool. Specific facets of nanotechnology, nanomedicine, nanomaterials, and cancer are covered in this app. MyNanoRia also includes definitions for particular keywords. This app's creation required consulting and validation by subject-matter specialists, such as chemists, biologists, and medical scientists. The development of MyNanoRia is challenging since nanotechnology is a multidiscipline topic that indeed emphasizes scientific understanding, but the intended users are those who know little to nothing about it. Creating the MyNanoRia app for understanding nanomedicine seeks to close the knowledge and awareness gap between science and the general public, enabling researchers, healthcare professionals, and the general public to fully value nanotechnology's potential in healthcare.
{"title":"Development of Mobile App as an Educational Tool for Understanding Nanomedicine","authors":"Nik Ahmad Nizam Nik Malek, Corrienna ABDUL TALIB, Nur Shafina Mohd Nor, Ibrohim, J. Matmin, Siew Ling Lee, Praseetha Prabhakaran, N. S. Sani, Muhammad Khair Noordin","doi":"10.11113/humentech.v3n1.63","DOIUrl":"https://doi.org/10.11113/humentech.v3n1.63","url":null,"abstract":"Nanomedicine, an emerging field at the intersection of nanotechnology and medicine, holds great promise for revolutionizing healthcare by enabling targeted diagnostics and treatments at the molecular level. However, due to its complex nature, understanding nanomedicine concepts and applications can be challenging for healthcare professionals, researchers, and the general public. To bridge this knowledge gap and promote awareness, a mobile application was developed to enhance the understanding of nanomedicine, and named it \"MyNanoRia\". The MyNanoRia was developed by initially designing suitable content, compiling information and creating the apps using Unity platform, specifically for the Android operating system. The MyNanoRia provides users with readily available knowledge about nanomedicine's concepts, methods, and applications as an interactive educational tool. Specific facets of nanotechnology, nanomedicine, nanomaterials, and cancer are covered in this app. MyNanoRia also includes definitions for particular keywords. This app's creation required consulting and validation by subject-matter specialists, such as chemists, biologists, and medical scientists. The development of MyNanoRia is challenging since nanotechnology is a multidiscipline topic that indeed emphasizes scientific understanding, but the intended users are those who know little to nothing about it. Creating the MyNanoRia app for understanding nanomedicine seeks to close the knowledge and awareness gap between science and the general public, enabling researchers, healthcare professionals, and the general public to fully value nanotechnology's potential in healthcare.","PeriodicalId":168265,"journal":{"name":"Journal of Human Centered Technology","volume":"6 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139798692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.70
Thasleema Parveen Malick, Kugambikai Vangetaraman, S. Saidin, Ahmad Kafrawi Nasution
Tissue engineering is the combination of engineering and fundamental sciences to develop an artificial organ that derived from the tissue human sources. It involves the construction of three main pillars include cell sources, scaffold materials and biological factors. These three important elements are necessary to be incorporated and integrated well, to construct a functional artificial tissue engineering product. Few applications can be associated with the expansion of tissue engineering where cardiovascular regeneration is one of the targets of tissue engineering. Among the fabrication techniques, electrospinning, three-dimensional printing, molding and decellularization, are four engineering methods that are commonly used in fabricating scaffolds for cardiovascular tissue engineering. One of the purposes of the emerging of cardiovascular tissue engineering is the limitation of current commercialized patches or membranes that often cause post-complications following the cardiovascular treatments. This review paper covering a brief introduction on the tissue engineering for cardiovascular regeneration, focusing on the scaffold fabrication.
{"title":"Tissue Engineering for Cardiovascular Regeneration: Brief Review on Scaffold Fabrication","authors":"Thasleema Parveen Malick, Kugambikai Vangetaraman, S. Saidin, Ahmad Kafrawi Nasution","doi":"10.11113/humentech.v3n1.70","DOIUrl":"https://doi.org/10.11113/humentech.v3n1.70","url":null,"abstract":"Tissue engineering is the combination of engineering and fundamental sciences to develop an artificial organ that derived from the tissue human sources. It involves the construction of three main pillars include cell sources, scaffold materials and biological factors. These three important elements are necessary to be incorporated and integrated well, to construct a functional artificial tissue engineering product. Few applications can be associated with the expansion of tissue engineering where cardiovascular regeneration is one of the targets of tissue engineering. Among the fabrication techniques, electrospinning, three-dimensional printing, molding and decellularization, are four engineering methods that are commonly used in fabricating scaffolds for cardiovascular tissue engineering. One of the purposes of the emerging of cardiovascular tissue engineering is the limitation of current commercialized patches or membranes that often cause post-complications following the cardiovascular treatments. This review paper covering a brief introduction on the tissue engineering for cardiovascular regeneration, focusing on the scaffold fabrication.","PeriodicalId":168265,"journal":{"name":"Journal of Human Centered Technology","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139801050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.69
Muhammad Norman Nurhakim Mohd Shahriman, Xi Ning Tan, Mahmud Thaqif Mahmud Rasid, Batrisyia Inanda Sari Yusri, N. A. Abdul-Kadir, Norlaili Mat Safri
In response to the coronavirus disease 2019 (COVID-19) pandemic, the shift to online delivery mode for most teaching faculties has increased the risk of chronic back and neck pain for students and teachers. While short-term adjustments like working from the couch or using an uncomfortable kitchen chair might seem tolerable for working adults or university students, these habits can have detrimental long-term impacts on body and health. Although the pandemic situation has improved, and people are gradually returning to physical workplaces and classrooms, many individuals still spend a significant amount of time sitting in front of screens for work and other activities. This explains why 70% of adults in Malaysia have experienced back and neck pain at least once in their lives. This pre-study proposes a smart chair equipped with sensors that alert users to correct their sitting posture and take screen breaks for stretching, potentially reducing the risk of future muscle aches and pain.
{"title":"Smart Chair Development using ESP32 Microcontroller – A Preliminary Study","authors":"Muhammad Norman Nurhakim Mohd Shahriman, Xi Ning Tan, Mahmud Thaqif Mahmud Rasid, Batrisyia Inanda Sari Yusri, N. A. Abdul-Kadir, Norlaili Mat Safri","doi":"10.11113/humentech.v3n1.69","DOIUrl":"https://doi.org/10.11113/humentech.v3n1.69","url":null,"abstract":"In response to the coronavirus disease 2019 (COVID-19) pandemic, the shift to online delivery mode for most teaching faculties has increased the risk of chronic back and neck pain for students and teachers. While short-term adjustments like working from the couch or using an uncomfortable kitchen chair might seem tolerable for working adults or university students, these habits can have detrimental long-term impacts on body and health. Although the pandemic situation has improved, and people are gradually returning to physical workplaces and classrooms, many individuals still spend a significant amount of time sitting in front of screens for work and other activities. This explains why 70% of adults in Malaysia have experienced back and neck pain at least once in their lives. This pre-study proposes a smart chair equipped with sensors that alert users to correct their sitting posture and take screen breaks for stretching, potentially reducing the risk of future muscle aches and pain.","PeriodicalId":168265,"journal":{"name":"Journal of Human Centered Technology","volume":"192 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139861309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.68
Praveen Raaj Anandaraj, N. Mahmood, M. A. Abdul Razak, N. A. Zakaria
Visually impaired chess players usually have difficulties using a normal traditional or digital chess clock during chess tournaments. This research aims to provide a solution which is a digital chess clock with an audio output indicating the remaining time of the chess players. These chess clocks are designed with Arduino Uno as the processing board with LCD keypad shield as display displaying and controlling and setting the hours, minutes, and seconds of the time. Besides that, the chess clock is equipped with a few mini pushbuttons to switch the time between the players together with two pushbuttons as the trigger for giving the audio output of the remaining time via attached 0.5W stereo speakers. This digital chess clock is essential to visually impaired chess players. In conclusion, hope this project will ease the visually impaired chess players to manage and be worry free of their remaining time during the chess match.
在国际象棋比赛中，视障棋手通常很难使用普通的传统或数字国际象棋钟。本研究旨在提供一种解决方案，即带有音频输出的数字国际象棋钟，可显示棋手的剩余时间。这些棋钟的设计以 Arduino Uno 为处理板，LCD 键盘屏蔽作为显示屏，用于显示、控制和设置时间的时、分、秒。此外，国际象棋钟还配备了几个迷你按钮，用于切换棋手之间的时间，还有两个按钮作为触发器，通过附加的 0.5 瓦立体声扬声器输出剩余时间的音频。这个数字棋钟对于视障棋手来说是必不可少的。总之，希望这个项目能让视障棋手在下棋时轻松管理剩余时间，无后顾之忧。
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Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.70
Thasleema Parveen Malick, Kugambikai Vangetaraman, S. Saidin, Ahmad Kafrawi Nasution
Tissue engineering is the combination of engineering and fundamental sciences to develop an artificial organ that derived from the tissue human sources. It involves the construction of three main pillars include cell sources, scaffold materials and biological factors. These three important elements are necessary to be incorporated and integrated well, to construct a functional artificial tissue engineering product. Few applications can be associated with the expansion of tissue engineering where cardiovascular regeneration is one of the targets of tissue engineering. Among the fabrication techniques, electrospinning, three-dimensional printing, molding and decellularization, are four engineering methods that are commonly used in fabricating scaffolds for cardiovascular tissue engineering. One of the purposes of the emerging of cardiovascular tissue engineering is the limitation of current commercialized patches or membranes that often cause post-complications following the cardiovascular treatments. This review paper covering a brief introduction on the tissue engineering for cardiovascular regeneration, focusing on the scaffold fabrication.
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Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.61
Zhi Hao Kevin Ng, Jia Qi Yu, Nur Aisyah Maisarah Mohamad Zaini, Omar Fahmi Omar Arm, Julia Jais Jamaludin, Y. Hau
COVID-19 is highly transmittable, especially for frontline healthcare workers. Far-UVC light at 222 nm wavelength effectively inactivates the virus and is safe for human skin and eyes. To reduce the contact between healthcare workers and infected patients while sanitizing the area, this work introduces UVood, an advanced robotic system with automated line tracking and sanitizer to enhance the safety of frontline healthcare workers during the COVID-19 pandemic. Utilizing far-UVC light, the system achieves effective sanitization without harm to humans. Controlled by an Arduino Mega microcontroller and incorporating infrared (IR) and passive infrared (PIR) sensors, UVood allows precise navigation and continuous disinfection. This prototype also integrates a touchscreen as a user interface for user control. Through the functionality verification, the developed proof-of-concept prototype has successfully demonstrated its great potential in healthcare automation and infection prevention.
{"title":"Development of an Advanced Robotic System with Line Tracking and Sanitization in Healthcare Industry","authors":"Zhi Hao Kevin Ng, Jia Qi Yu, Nur Aisyah Maisarah Mohamad Zaini, Omar Fahmi Omar Arm, Julia Jais Jamaludin, Y. Hau","doi":"10.11113/humentech.v3n1.61","DOIUrl":"https://doi.org/10.11113/humentech.v3n1.61","url":null,"abstract":"COVID-19 is highly transmittable, especially for frontline healthcare workers. Far-UVC light at 222 nm wavelength effectively inactivates the virus and is safe for human skin and eyes. To reduce the contact between healthcare workers and infected patients while sanitizing the area, this work introduces UVood, an advanced robotic system with automated line tracking and sanitizer to enhance the safety of frontline healthcare workers during the COVID-19 pandemic. Utilizing far-UVC light, the system achieves effective sanitization without harm to humans. Controlled by an Arduino Mega microcontroller and incorporating infrared (IR) and passive infrared (PIR) sensors, UVood allows precise navigation and continuous disinfection. This prototype also integrates a touchscreen as a user interface for user control. Through the functionality verification, the developed proof-of-concept prototype has successfully demonstrated its great potential in healthcare automation and infection prevention.","PeriodicalId":168265,"journal":{"name":"Journal of Human Centered Technology","volume":"27 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139861699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.69
Muhammad Norman Nurhakim Mohd Shahriman, Xi Ning Tan, Mahmud Thaqif Mahmud Rasid, Batrisyia Inanda Sari Yusri, N. A. Abdul-Kadir, Norlaili Mat Safri
In response to the coronavirus disease 2019 (COVID-19) pandemic, the shift to online delivery mode for most teaching faculties has increased the risk of chronic back and neck pain for students and teachers. While short-term adjustments like working from the couch or using an uncomfortable kitchen chair might seem tolerable for working adults or university students, these habits can have detrimental long-term impacts on body and health. Although the pandemic situation has improved, and people are gradually returning to physical workplaces and classrooms, many individuals still spend a significant amount of time sitting in front of screens for work and other activities. This explains why 70% of adults in Malaysia have experienced back and neck pain at least once in their lives. This pre-study proposes a smart chair equipped with sensors that alert users to correct their sitting posture and take screen breaks for stretching, potentially reducing the risk of future muscle aches and pain.
{"title":"Smart Chair Development using ESP32 Microcontroller – A Preliminary Study","authors":"Muhammad Norman Nurhakim Mohd Shahriman, Xi Ning Tan, Mahmud Thaqif Mahmud Rasid, Batrisyia Inanda Sari Yusri, N. A. Abdul-Kadir, Norlaili Mat Safri","doi":"10.11113/humentech.v3n1.69","DOIUrl":"https://doi.org/10.11113/humentech.v3n1.69","url":null,"abstract":"In response to the coronavirus disease 2019 (COVID-19) pandemic, the shift to online delivery mode for most teaching faculties has increased the risk of chronic back and neck pain for students and teachers. While short-term adjustments like working from the couch or using an uncomfortable kitchen chair might seem tolerable for working adults or university students, these habits can have detrimental long-term impacts on body and health. Although the pandemic situation has improved, and people are gradually returning to physical workplaces and classrooms, many individuals still spend a significant amount of time sitting in front of screens for work and other activities. This explains why 70% of adults in Malaysia have experienced back and neck pain at least once in their lives. This pre-study proposes a smart chair equipped with sensors that alert users to correct their sitting posture and take screen breaks for stretching, potentially reducing the risk of future muscle aches and pain.","PeriodicalId":168265,"journal":{"name":"Journal of Human Centered Technology","volume":"43 182","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139801677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.66
Naufal Fikri Muhammad, Raimi Dewan, Jaysuman Pusppanathan, Faishal Adilah Suryanata
Crying is a crucial means of communication for newborns, crying is a newborn's early form of communication. Many individuals are unable to recognise a baby's intention from cry unless they have the appropriate training or expertise, such as nurses, paediatricians, and childcare professionals. Accurately interpreting a baby's cry can be challenging. In this research paper, the study uses a method for classifying baby crying sounds using a Convolutional Neural Network (CNN) and the dataset includes belly pain, burping, discomfort, hungry, and tired for total of 3,495 one-second-long audio clips. The research methodology involves preprocessing the audio data, extracting Mel-Frequency Cepstral Coefficients (MFCC) as features, and training the CNN model. To determine the optimal architecture, two different configurations of the CNN model are evaluated. The settings for both configurations are the same, except for the layers. The first configuration utilizes 100, 200, and 100 neurons for the respective layers, while the second configuration employs 256, 512, and 256 neurons for each layer. the results have already been evaluated that the second configuration, with deeper and more complex layers, achieves higher accuracy (86%) compared to the first configuration (84%). The study demonstrates the effectiveness of CNNs in classifying baby cries and highlights the importance of model architecture in achieving accurate classification results. Future research could explore larger and more diverse datasets to improve generalizability.
{"title":"Baby Crying Sound Classification using Convolutional Neural Network","authors":"Naufal Fikri Muhammad, Raimi Dewan, Jaysuman Pusppanathan, Faishal Adilah Suryanata","doi":"10.11113/humentech.v3n1.66","DOIUrl":"https://doi.org/10.11113/humentech.v3n1.66","url":null,"abstract":"Crying is a crucial means of communication for newborns, crying is a newborn's early form of communication. Many individuals are unable to recognise a baby's intention from cry unless they have the appropriate training or expertise, such as nurses, paediatricians, and childcare professionals. Accurately interpreting a baby's cry can be challenging. In this research paper, the study uses a method for classifying baby crying sounds using a Convolutional Neural Network (CNN) and the dataset includes belly pain, burping, discomfort, hungry, and tired for total of 3,495 one-second-long audio clips. The research methodology involves preprocessing the audio data, extracting Mel-Frequency Cepstral Coefficients (MFCC) as features, and training the CNN model. To determine the optimal architecture, two different configurations of the CNN model are evaluated. The settings for both configurations are the same, except for the layers. The first configuration utilizes 100, 200, and 100 neurons for the respective layers, while the second configuration employs 256, 512, and 256 neurons for each layer. the results have already been evaluated that the second configuration, with deeper and more complex layers, achieves higher accuracy (86%) compared to the first configuration (84%). The study demonstrates the effectiveness of CNNs in classifying baby cries and highlights the importance of model architecture in achieving accurate classification results. Future research could explore larger and more diverse datasets to improve generalizability.","PeriodicalId":168265,"journal":{"name":"Journal of Human Centered Technology","volume":"103 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139802129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.61
Zhi Hao Kevin Ng, Jia Qi Yu, Nur Aisyah Maisarah Mohamad Zaini, Omar Fahmi Omar Arm, Julia Jais Jamaludin, Y. Hau
COVID-19 is highly transmittable, especially for frontline healthcare workers. Far-UVC light at 222 nm wavelength effectively inactivates the virus and is safe for human skin and eyes. To reduce the contact between healthcare workers and infected patients while sanitizing the area, this work introduces UVood, an advanced robotic system with automated line tracking and sanitizer to enhance the safety of frontline healthcare workers during the COVID-19 pandemic. Utilizing far-UVC light, the system achieves effective sanitization without harm to humans. Controlled by an Arduino Mega microcontroller and incorporating infrared (IR) and passive infrared (PIR) sensors, UVood allows precise navigation and continuous disinfection. This prototype also integrates a touchscreen as a user interface for user control. Through the functionality verification, the developed proof-of-concept prototype has successfully demonstrated its great potential in healthcare automation and infection prevention.
{"title":"Development of an Advanced Robotic System with Line Tracking and Sanitization in Healthcare Industry","authors":"Zhi Hao Kevin Ng, Jia Qi Yu, Nur Aisyah Maisarah Mohamad Zaini, Omar Fahmi Omar Arm, Julia Jais Jamaludin, Y. Hau","doi":"10.11113/humentech.v3n1.61","DOIUrl":"https://doi.org/10.11113/humentech.v3n1.61","url":null,"abstract":"COVID-19 is highly transmittable, especially for frontline healthcare workers. Far-UVC light at 222 nm wavelength effectively inactivates the virus and is safe for human skin and eyes. To reduce the contact between healthcare workers and infected patients while sanitizing the area, this work introduces UVood, an advanced robotic system with automated line tracking and sanitizer to enhance the safety of frontline healthcare workers during the COVID-19 pandemic. Utilizing far-UVC light, the system achieves effective sanitization without harm to humans. Controlled by an Arduino Mega microcontroller and incorporating infrared (IR) and passive infrared (PIR) sensors, UVood allows precise navigation and continuous disinfection. This prototype also integrates a touchscreen as a user interface for user control. Through the functionality verification, the developed proof-of-concept prototype has successfully demonstrated its great potential in healthcare automation and infection prevention.","PeriodicalId":168265,"journal":{"name":"Journal of Human Centered Technology","volume":"126 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139801757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.11113/humentech.v3n1.64
Wai Keng Mike Choong, Maizatul Hayati Mohamad Yatim, Noorhayati Saad
Higher education academics are lacking the knowledge on how to implement Design Thinking (DT) for transdisciplinary design studies that would produce Fourth Industrial Revolution Workforce Skills (4IRSkills), due to the sparsity in literature and implementation guidelines. This article discusses on the creation process of a Teaching and Learning Framework (TLF) for transdisciplinary design studies with a desktop-based Virtual Reality Learning Environment (VRLE) simulation of studio-based learning. The framework was created using a Selander’s Learning Design Sequence (LDS) with DT approach. The LDS helped the researcher to understand the processes of teaching and learning, especially on the affordances of various modes. The DT approach was used to facilitate the process of solving problems through the practice of empathy, reframing, prototyping, experimentation, testing, and redesign. A sequential explanatory mixed method was used, and the data were analyzed through inferential statistical analysis, thematic analysis and convergent coding matrix triangulation protocol. The findings indicated that the TLF with VRLE showed a positive and significant relationship with students' achievement of 4IRSkills. The TLF Design Process and Collaborative Design variables were positively correlated with students' 4IRSkills, while there was no correlation for the VRLE Representational Fidelity and Learner Interaction variables. In conclusion, the TLF with VRLE proves to be an effective and suitable method for guiding the implementation of pedagogies that teaches 4IRSkills at the tertiary level in fully online learning environments.
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