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  1. Article ; Online: Transforming curriculum mapping: A human-AI hybrid approach.

    Ng, Olivia / Tay, Zheng Huan / Wilding, Lucy V E / Ng, Kian Bee / Han, Siew Ping

    Medical education

    2024  Volume 58, Issue 5, Page(s) 582–583

    MeSH term(s) Humans ; Curriculum
    Language English
    Publishing date 2024-02-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 195274-2
    ISSN 1365-2923 ; 0308-0110
    ISSN (online) 1365-2923
    ISSN 0308-0110
    DOI 10.1111/medu.15331
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: An Exploratory Digital Board Game Approach to the Review and Reinforcement of Complex Medical Subjects Like Anatomical Education: Cross-sectional and Mixed Methods Study.

    Tan, Jun Wen / Ng, Kian Bee / Mogali, Sreenivasulu Reddy

    JMIR serious games

    2022  Volume 10, Issue 1, Page(s) e33282

    Abstract: Background: Serious games have the potential to resolve educational problems faced by medical students, such as insufficient rehearsal due to boredom and lack of motivation. However, serious games' relatively novel concepts in science and many genres of ...

    Abstract Background: Serious games have the potential to resolve educational problems faced by medical students, such as insufficient rehearsal due to boredom and lack of motivation. However, serious games' relatively novel concepts in science and many genres of games that are common in recreation remain underresearched in the literature. Board games are one such genre that, despite their potential, affordability, and flexibility, are rarely designed for medical students, and little is known about student perceptions of them and their compatibility with rehearsal.
    Objective: In this cross-sectional study, we sought to elicit, via an exploratory mixed methods approach, student perceptions of a digital serious board game specifically designed for the gamified rehearsal of complex medical subjects, with the chosen topic of anatomy.
    Methods: A digital serious board game, based on self-determination theory (SDT), was first designed and developed to facilitate the rehearsal of anatomy information. Students were then voluntarily recruited to partake in the intervention and were randomly split into three teams of 2 players per game session, after which they were administered the Flow Short Scale (FSS), which is a 13-item measure where items were rated on a 7-point Likert scale ranging from 1 ("not at all") to 7 ("very much"). Students then participated in a focus group discussion to elicit their perceptions of the game. Findings from the FSS were subject to descriptive analysis, and the focus group discussion was subject to inductive thematic analysis.
    Results: A total of 12 undergraduate, second-year medical students from the Lee Kong Chian School of Medicine in Singapore participated in the study. FSS results indicated a moderate level of overall flow (mean score 4.94, SD 1.07) via the subdomains of fluency (mean score 4.77, SD 1.13) and absorption (mean score 5.21, SD 1.1). Students perceived the game as fun, enjoyable, engaging, and appropriate as a rehearsal tool that alleviated the monotony of traditional methods of rehearsal.
    Conclusions: Our digital board game-based rehearsal tool, when based on SDT, appeared to be suitable for gamified rehearsal in a fun and enjoyable environment due to its facilitation of intrinsic motivation in its players.
    Language English
    Publishing date 2022-01-10
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2798265-8
    ISSN 2291-9279
    ISSN 2291-9279
    DOI 10.2196/33282
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Rehearsal-based digital serious boardgame versus a game-free e-learning tool for anatomical education: Quasi-randomized controlled trial.

    Tan, Jun Wen / Chong, Darren Kai Siang / Ng, Kian Bee / Car, Lorainne Tudor / Mogali, Sreenivasulu Reddy

    Anatomical sciences education

    2023  Volume 16, Issue 5, Page(s) 830–842

    Abstract: Serious games may resolve problems relating to low motivation in complex medical topics such as anatomy. However, they remain relatively novel introductions to the science of learning, and further research is required to ascertain their benefits. This ... ...

    Abstract Serious games may resolve problems relating to low motivation in complex medical topics such as anatomy. However, they remain relatively novel introductions to the science of learning, and further research is required to ascertain their benefits. This study describes the overall development and testing of a digital serious boardgame designed to facilitate the rehearsal of musculoskeletal anatomy based on self-determination theory with considerations for the psychological state of Flow. It was hypothesized that students assigned to the intervention game condition would attain higher Flow scores, a measure of engagement and intrinsic motivation, than students assigned to the game-free control, and that the intervention condition would report either superior or non-superior, but not inferior, scores on a surprise recall test. A total of 36 second-year undergraduate medical students participated in the quasi-randomized controlled trial, where the intervention groups went first and randomly drew questions that were mirrored into the control groups. All students were administered an identical 10-question baseline assessment before their interventions, the Short Flow Scale immediately after, and a surprise test four-to-six weeks later. Independent samples t-tests indicated that students of both conditions were of similar baseline knowledge (t = 0.7, p = 0.47), significantly higher Flow scores in the game condition (t = 2.99, p = 0.01), and no significant differences between surprise test scores (t = -0.3, p = 0.75). The game appears to be an appropriate game-based tool for student rehearsal of anatomical education, stemming from a strong theoretical base that facilitates high engagement and intrinsic motivation.
    MeSH term(s) Humans ; Computer-Assisted Instruction ; Anatomy/education ; Video Games ; Education, Medical, Undergraduate ; Learning
    Language English
    Publishing date 2023-05-11
    Publishing country United States
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 2483491-9
    ISSN 1935-9780 ; 1935-9772
    ISSN (online) 1935-9780
    ISSN 1935-9772
    DOI 10.1002/ase.2286
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Twelve tips for co-production of online learning.

    Jumat, Raihan / Loan-Ng, Sally / Mogali, Sreenivasulu Reddy / Ng, Kian Bee / Leong, Bei Yi / Han, Siew Ping

    Medical teacher

    2023  Volume 45, Issue 9, Page(s) 966–971

    Abstract: In the digital age, experts in digital learning tools, or learning technologists (LTs), play an increasingly important role in the creation and delivery of online learning in health professions education. However, their expertise in the selection, ... ...

    Abstract In the digital age, experts in digital learning tools, or learning technologists (LTs), play an increasingly important role in the creation and delivery of online learning in health professions education. However, their expertise in the selection, curation and implementation of digital tools is often underutilized due to imbalanced relationships and lack of effective collaboration between faculty and LTs. Here, we describe how the co-production model can be applied to build equal and synergistic partnerships between faculty and LTs, so as to optimize the use of digital affordances and enhance online learning.
    MeSH term(s) Humans ; Education, Distance ; Faculty ; Learning ; Health Education
    Language English
    Publishing date 2023-05-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 424426-6
    ISSN 1466-187X ; 0142-159X
    ISSN (online) 1466-187X
    ISSN 0142-159X
    DOI 10.1080/0142159X.2023.2206533
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Freestanding and Scalable Force-Softness Bimodal Sensor Arrays for Haptic Body-Feature Identification.

    Cui, Zequn / Wang, Wensong / Xia, Huarong / Wang, Changxian / Tu, Jiaqi / Ji, Shaobo / Tan, Joel Ming Rui / Liu, Zhihua / Zhang, Feilong / Li, Wenlong / Lv, Zhisheng / Li, Zheng / Guo, Wei / Koh, Nien Yue / Ng, Kian Bee / Feng, Xue / Zheng, Yuanjin / Chen, Xiaodong

    Advanced materials (Deerfield Beach, Fla.)

    2022  Volume 34, Issue 47, Page(s) e2207016

    Abstract: Tactile technologies that can identify human body features are valuable in clinical diagnosis and human-machine interactions. Previously, cutting-edge tactile platforms have been able to identify structured non-living objects; however, identification of ... ...

    Abstract Tactile technologies that can identify human body features are valuable in clinical diagnosis and human-machine interactions. Previously, cutting-edge tactile platforms have been able to identify structured non-living objects; however, identification of human body features remains challenging mainly because of the irregular contour and heterogeneous spatial distribution of softness. Here, freestanding and scalable tactile platforms of force-softness bimodal sensor arrays are developed, enabling tactile gloves to identify body features using machine-learning methods. The bimodal sensors are engineered by adding a protrusion on a piezoresistive pressure sensor, endowing the resistance signals with combined information of pressure and the softness of samples. The simple design enables 112 bimodal sensors to be integrated into a thin, conformal, and stretchable tactile glove, allowing the tactile information to be digitalized while hand skills are performed on the human body. The tactile glove shows high accuracy (98%) in identifying four body features of a real person, and four organ models (healthy and pathological) inside an abdominal simulator, demonstrating identification of body features of the bimodal tactile platforms and showing their potential use in future healthcare and robotics.
    MeSH term(s) Humans ; Haptic Technology ; Touch ; Robotics ; Hand ; Mechanical Phenomena
    Language English
    Publishing date 2022-10-21
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1474949-X
    ISSN 1521-4095 ; 0935-9648
    ISSN (online) 1521-4095
    ISSN 0935-9648
    DOI 10.1002/adma.202207016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book: Special Effects mit Maya

    Ng, Kian Bee / Müller, Christian

    [die Grundlagen der Computeranimation ; Schulung des Problemlöseverhaltens ; typische Effekte wie Wasser, Feuer, Licht]

    2000  

    Title translation Digital effects animation using MAYA <dt.>
    Author's details Kian Bee Ng; Christian Müller. Übers. und Überarb. aus dem Amerikan. von Christian Müller
    Keywords Maya
    Language German
    Size 390 S., Ill., graph. Darst., 25 cm
    Edition 1. Aufl.
    Publisher MITP-Verl
    Publishing place Bonn
    Document type Book
    Accompanying material 1 CD-ROM
    ISBN 3826606175 ; 9783826606175
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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