Visual Concepts Research Articles

Students’ Visual Representation of Lights and Visions

Visual representations are used by scientists to communicate scientific conceptions and are used by teachers to teach science in the classroom. The 2013 Curriculum textbook reduces this visual representation. Meanwhile, visual representations will help students develop a comprehensive understanding of the concept. This case study research aims to reveal cases of misconceptions in the visual representation of students at an X elementary school. We used observations of fifty-nine fourth-grade elementary school students to find students with different cases of misconceptions. Eleven students were further identified using interviews and drawing tests. We analysed the data qualitatively based on the collection of these two types of data. We found misconceptions in the representation of luminous objects and how students draw visions of luminous objects and non-luminous objects. Research results showed that we found cases of misconceptions similar to the findings from previous studies. While light and vision are prerequisite concepts, a student's conception of vision is affected when he has a misconception about light. Content can be developed by paying attention to the various modes of representation, conceptual change, and learning progression in the future. The pattern of learning progression can be studied in more detail using the microgenetic method.

PERANCANGAN PICTURE STORYBOOK BERBASIS AUGMENTED REALITY (AR) TENTANG EDUKASI SIGAP BENCANA ALAM UNTUK ANAK USIA 9-12 TAHUN

Indonesia is a country that is prone to natural disasters because it is located on a tectonic plate fault in a row of active volcanoes in many areas, making Indonesia at risk of natural disasters such as volcanoes, earthquakes, and further disasters such as floods. Mini-type disasters certainly have an impact on society, especially children. Therefore education is needed regarding alertness to natural disasters. Using qualitative and quantitative research methodologies, namely data collection through questionnaires to 150 respondents, interviews with expert sources, as well as literature studies, existing studies, and comparative studies. The design of this augmented reality-based picture story book uses a style adapted to children, starting with the formulation of keyword concepts, verbal concepts, to visual concepts including titles, synopsis, language style, image styles, colors, typography, character designs, cover designs, to the contents of the page that produced a picturebook with augmented reality entitled “Zalfa the Nature Explorer”. This design has the aim of educating children aged 9-12 years with creative and innovative methods, through this design it is hoped that children will be more aware and alert when facing natural disasters so that they can reduce victims of natural disasters that occurred in Indonesia.
 Keywords: picture storybook, augmented reality, alert for natural disasters, education, children

Storytelling as Innovative Method to Improve the Recognition of Teledentistry among Adults: A Randomized Controlled Trial.

Storytelling is an educational approach that encourages learners to create imaginative conceptions and think creatively. The aim of this study was to assess the effects of storytelling on improving awareness about teledentistry among adults in Saudi Arabia. A single-blinded parallel group randomized controlled study with 88 adult participants from Saudi Arabia. Participants were randomized into an intervention group (IG) or a control group (CG). The IG received teledentistry information using a storytelling method, while the CG received a flyer containing the same information. The participants were questioned three times: P1 before the intervention, P2 immediately after the intervention, and P3 1 month later. A total of 83 participants completed all study steps. No significant knowledge score differences between IG and CG at P1, P2, or P3 nor in mean differences across time points. However, significant increase from P1 to P2 (p < 0.001) and P1 to P3 (p < 0.001) via paired t-test; no change from P2 to P3 in IG (p = 0.99) or CG (p = 0.816). Storytelling was significantly more innovative and emotionally touching than conventional flyer. The study was registered with the number ISRCTN68587630. Storytelling was found to be a more innovative and emotionally impactful approach for promoting health compared to traditional flyers. Future studies should extend follow-up periods and explore diverse stories for external validation of this method.

Imagination as a Decolonial Tool: An Analysis of the Coloniality of Translation, Imagination, and the Theology of Rubem Alves

[Figure: see text] This article analyzes Xiang's coloniality of translation in connection with Alves’ theology and other decolonial scholars in order to recognize the limitations of Eurocentric language and to highlight the urgent need to contextualize and de-absolutize gender concepts. It provides a brief overview of decolonial thinking and then delves into the coloniality of translation, emphasizing the potential dangers of appropriating Indigenous philosophies within European frameworks. Xiang's analysis reveals that translating Nahua gender concepts into English limits their rich complexities and cultural significance, perpetuating Eurocentric understandings. Xiang's work exemplifies how European world views infiltrate decolonial discourses, replicating dominant Eurocentric norms. Alves’ theology comes into play, emphasizing the need to liberate human imagination from limiting colonial logics. By advocating for a renewed imagination beyond colonial constraints, Alves opens up diverse and dynamic possibilities for theological thinking. Finally, I argue for the use of Alves’ concept of imagination as a decolonial tool, challenging the colonial configurations embedded within words and the social imaginary they create. I argue that embracing a continuous process of re-imagining fosters a comprehensive understanding of the complexities and potentialities present in diverse cultures. Simultaneously this article underscores the necessity of decolonial thinking as a never-ending project, urging scholars to engage with alternative knowledges and constantly challenge and subvert colonial logics within theological discourses.

Meaningful Work when Work Won’t Love You Back: Sociological Imagination and Reflective Teaching Practice

abstract: This essay explores the tension between pursuing meaningful work in instruction librarianship and the realities of working in a society in which many jobs provide little fulfillment or pleasure, or, as the journalist Sarah Jaffe puts it, “Work won’t love you back.” Drawing on a recent conference keynote by Anne Helen Petersen, C. Wright Mills’s conception of sociological imagination, and an ecological model of teacher agency, I propose that one way librarians can sustain their teaching practices and preserve their well-being is by actively investigating how social structures and relationships influence their teaching roles.

Compositional Scene Representation Learning via Reconstruction: A Survey.

Visual scenes are composed of visual concepts and have the property of combinatorial explosion. An important reason for humans to efficiently learn from diverse visual scenes is the ability of compositional perception, and it is desirable for artificial intelligence to have similar abilities. Compositional scene representation learning is a task that enables such abilities. In recent years, various methods have been proposed to apply deep neural networks, which have been proven to be advantageous in representation learning, to learn compositional scene representations via reconstruction, advancing this research direction into the deep learning era. Learning via reconstruction is advantageous because it may utilize massive unlabeled data and avoid costly and laborious data annotation. In this survey, we first outline the current progress on reconstruction-based compositional scene representation learning with deep neural networks, including development history and categorizations of existing methods from the perspectives of the modeling of visual scenes and the inference of scene representations; then provide benchmarks, including an open source toolbox to reproduce the benchmark experiments, of representative methods that consider the most extensively studied problem setting and form the foundation for other methods; and finally discuss the limitations of existing methods and future directions of this research topic.

How can data visualization support interdisciplinary research? LuxTIME: studying historical exposomics in Belval.

The Luxembourg Time Machine (LuxTIME) is an interdisciplinary project that studies the historical exposome during the industrialization of the Minett region, located in the south of Luxembourg. Exposome research encompasses all external and internal non-genetic factors influencing the health of the population, such as air pollution, green spaces, noise, work conditions, physical activity, and diet. Due to the wide scope of the interdisciplinary project, the historical study of the exposome in Belval involved the collection of quantitative and qualitative data from the National Archive of Luxembourg, various local archives (e.g., the communes of Esch-sur-Alzette and Sanem), the National Library, the Library of National Statistics STATEC, the National Geoportal of Luxembourg, scientific data from other research centers, and information from newspapers and journals digitized in eluxemburgensia. The data collection and the resulting inventory were performed to create a proof of concept to critically test the potential of a multi-layered research design for the study of the historical exposome in Belval. The guiding navigation tool throughout the project was data visualization. It has facilitated the exploration of the data collected (or just the data) and the metadata. It has also been a valuable tool for mapping knowledge and defining the scope of the project. Furthermore, different data visualization techniques have helped us to reflect on the process of knowledge sharing, to understand how the relevance of certain topics changed throughout the project and why, and to learn about the publication process in different journals and the experience of the participants. Data visualization is used not only as a means to an end but also to embrace the idea of sandcastles using a speculative and process-oriented approach to advance knowledge within all research fields involved. LuxTIME has proven to be an ideal case study to explore the possibilities offered by different data visualization concepts and techniques resulting in a data visualization toolbox that could be evaluated and extended in other interdisciplinary projects.

Development of Islamic Educational Institutions in Increasing Competitiveness in Madrasah Tsanawiyah

Description of the subject's behavior processes according to the focus of the problem under study. The technique of collecting data uses observation, interviews, and documentation. The data used are primary and secondary data. To check the validity of the data using the triangulation method. The data analysis technique uses descriptive techniques with four steps, namely: (1) data collection or data collection (2) data reduction or data reduction (3) display data or data presentation (4) conclusion. The results showed that currently the MTs. Al-Hasanuddin of Pasuruan City, the concept of school development in improving competitiveness is in accordance with the concept of vision, mission, and objectives, quality of learning in accordance with the national curriculum, outstanding students both academically and non-academically An Nashr in understanding the Qur'an, improving facilities and infrastructure with stakeholder participation. The implementation of a curriculum administration strategy that is good for improving the quality of human resources (teachers and students), implementing discipline of teachers and students, establishing good relations with local communities, involving local communities in school activities, then improving quality with 14 steps according to Crosby, and Implications in this study in the form of customer satisfaction, a climate that is conducive, pleasant, orderly and quality in accordance with the expectations of the community so that it can attract market attention (community) to send their children to school at Al-Hasanuddin Junior High School, Pasuruan City.

Learning in and about a filtered universe: young people’s awareness and control of algorithms in social media

ABSTRACT Whereas ‘Web 2.0 technology’ has pushed the learning agenda towards connectivity and boundary crossing, in the current ‘new new media ontology’ the fear that algorithms might block our avenues to knowledge and connections prevails. In response to this, media scholars have argued that knowledge based on the algorithmic experiences of users is key to reformulating the agenda of critical media education. In this study of the algorithmic experiences of secondary education students in the Netherlands, we want to contribute to building such knowledge, making use of the concepts of algorithmic imagination, power and critical evaluation. Results show students build situational, practical-experiential knowledge of algorithmic workings that is closely in line with the features of the interface of the social media platforms they use. Implications for media literacy include providing students with system-level awareness and agency, including insights into the societal-political consequences of algorithmic workings.

Concept Parser With Multimodal Graph Learning for Video Captioning

Conventional video captioning methods are either stage-wise or simple end-to-end. While the former might introduce additional noise when exploiting off-the-shelf models to provide extra information, the latter suffers from lacking high-level cues. Therefore, a more desired framework should be able to capture multi-aspects of videos consistently. To this end, we present a concept-aware and task-specific model named CAT that accounts for both low-level visual and high-level concept cues, and incorporates them effectively in an end-to-end manner. Specifically, low-level visual and high-level concept features are obtained from the video transformer and concept parser of CAT. And a concept loss is further introduced to regularize the learning process of concept parser w.r.t. generated pseudo ground truth. To combine multi-level features, a caption transformer is later introduced in CAT, where visual and concept features are the inputs and caption is its output. In particular, we make critical design choices in the caption transformer to learn to exploit these cues with a multi-modal graph. This is achieved by a graph loss that enforces effective learning of intra and inter correlations between multi-level cues. Extensive experiments on three benchmark datasets demonstrate that CAT achieves 2.3 and 0.7 improvements in the CIDEr metric on MSVD and MSR-VTT compared to the state-of-the-art method SwinBERT [1], and also achieves a competitive result on VATEX.

Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution.

The rapid advances in deep learning-based computational pathology and radiology have demonstrated the promise of using whole slide images (WSIs) and radiology images for survival prediction in cancer patients. However, most image-based survival prediction methods are limited to using either histology or radiology alone, leaving integrated approaches across histology and radiology relatively underdeveloped. There are two main challenges in integrating WSIs and radiology images: (1) the gigapixel nature of WSIs and (2) the vast difference in spatial scales between WSIs and radiology images. To address these challenges, in this work, we propose an interpretable, weakly-supervised, multimodal learning framework, called Hierarchical Multimodal Co-Attention Transformer (HMCAT), to integrate WSIs and radiology images for survival prediction. Our approach first uses hierarchical feature extractors to capture various information including cellular features, cellular organization, and tissue phenotypes in WSIs. Then the hierarchical radiology-guided co- attention (HRCA) in HMCAT characterizes the multimodal interactions between hierarchical histology-based visual concepts and radiology features and learns hierarchical co- attention mappings for two modalities. Finally, HMCAT combines their complementary information into a multimodal risk score and discovers prognostic features from two modalities by multimodal interpretability. We apply our approach to two cancer datasets (365 WSIs with matched magnetic resonance [MR] images and 213 WSIs with matched computed tomography [CT] images). Our results demonstrate that the proposed HMCAT consistently achieves superior performance over the unimodal approaches trained on either histology or radiology data alone, as well as other state-of-the-art methods.

Looking Beyond Jerusalem: A Fifteenth-Century Exercise in Image Comparison

Abstract Critical image comparison is a widespread art-historical practice. This essay explores why a Brabantine artist encouraged viewers to exercise it in the late fifteenth century. At the time, northern European artists tested out how images could be means of transcending the visible world while simultaneously showcasing their very constructedness. The self-reflexivity that characterises such images has engendered a particularly rich field of art-historical studies. This essay focuses on a little-known image which was designed to combine two visual concepts devised more than three centuries apart – a twelfth-century map of Jerusalem, and a cityscape popularised in the fifteenth century – and required viewers to realise this combination in their minds, using external images recollected before their internal eyes. In its complex conception, the image becomes a unique contributor to the vibrant debate about the right use of images in late medieval devotion, and to the long history of image comparisons.

Educational Overview of the Concept and Application of Computer Vision in Arthroplasty

Image data has grown exponentially as systems have increased their ability to collect and store it. Unfortunately, there are limits to human resources both in time and knowledge to fully interpret and manage that data. Computer Vision (CV) has grown in popularity as a discipline for better understanding visual data. Computer Vision has become a powerful tool for imaging analytics in orthopedic surgery, allowing computers to evaluate large volumes of image data with greater nuance than previously possible. Nevertheless, even with the growing number of uses in medicine, literature on the fundamentals of CV and its implementation is mainly oriented toward computer scientists rather than clinicians, rendering CV unapproachable for most orthopedic surgeons as a tool for clinical practice and research. The purpose of this article is to summarize and review the fundamental concepts of CV application for the orthopedic surgeon and musculoskeletal researcher.

Thangka Image Captioning Based on Semantic Concept Prompt and Multimodal Feature Optimization.

Thangka images exhibit a high level of diversity and richness, and the existing deep learning-based image captioning methods generate poor accuracy and richness of Chinese captions for Thangka images. To address this issue, this paper proposes a Semantic Concept Prompt and Multimodal Feature Optimization network (SCAMF-Net). The Semantic Concept Prompt (SCP) module is introduced in the text encoding stage to obtain more semantic information about the Thangka by introducing contextual prompts, thus enhancing the richness of the description content. The Multimodal Feature Optimization (MFO) module is proposed to optimize the correlation between Thangka images and text. This module enhances the correlation between the image features and text features of the Thangka through the Captioner and Filter to more accurately describe the visual concept features of the Thangka. The experimental results demonstrate that our proposed method outperforms baseline models on the Thangka dataset in terms of BLEU-4, METEOR, ROUGE, CIDEr, and SPICE by 8.7%, 7.9%, 8.2%, 76.6%, and 5.7%, respectively. Furthermore, this method also exhibits superior performance compared to the state-of-the-art methods on the public MSCOCO dataset.

Software framework concept with visual programming and digital twin for intuitive process creation with multiple robotic systems

With the progressive digitalization in industrial manufacturing, the usage of complex robotic systems in both intralogistics and production is expected to increase. This proposes a challenge for planners and shop floor workers, as programming and interacting with these various systems leads to a high cognitive load. Especially the broad range of different manufacturer specific software leads to a number of problems, e.g. the program-synchronization between different systems and the often necessary workshops for workers. These problems can lead to inefficient programming and planning operations, bad worker satisfaction and human errors. In this paper, we present a modular, system agnostic and human centered software framework that unifies the programming of different systems, to enable centralized and intuitive system programming for non-expert operators. Our software framework utilizes visual programming concepts together with an integrated digital twin of the factory and a novel graph-based programming interface. We explain our concept in detail and describe our validation through integration into a realistic industrial setup with three different systems. In addition, we provide an evaluation of our concept's usability with an experimental user study and discuss the results of the study and the software implementation. Our study results show that even non-technical users are able to use our software after a brief introduction to create complex processes that involve multiple machines working in parallel. All users reported high usability and expert users reported that the visual process editor has enough features to create processes for industrial applications. Finally, we conclude this paper by providing an outlook on future work and use-cases of our software.

Player-centered, iterative, and interdisciplinary design and development of a mobile exergame for older cardiac patients

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Vetenskapsrådet Background Reducing inactivity in cardiac patients is vital since it can decrease the risk for disease progression and mortality. Current commercial available exergames (games where one has to be physically active to be able to play) might not optimally meet the needs of cardiac patients. The aim of this project was to design and develop a mobile exergame app involving end-users (elderly cardiac patients). Method The player-centered, iterative, interdisciplinary, and integrated (P-III) framework for designing and developing serious games has been modified and used for designing and developing the exergame involving end-users. This framework has 4 pillars: 1. Player-centered design process 2. Iterative development 3. Interdisciplinary teamwork 4. Integration of play and the serious content End-users involved in the project were patients from a local patient organization for patients with heart and lung diseases. Results In the player-centered design process cardiac patients were involved in the entire game design and development, not only during the usability testing phase. In the iterative development of the game, we had a visual game design of the game to understand the players’ group and the problem domain. Later the visual game concept was transformed into a prototype of the game. This prototype was adapted within seven iterations to a mobile exergame. The development was through interdisciplinary teamwork, where both cardiac patients, experts in cardiac care and game developers worked closely together in developing the game. The serious content in our project is physical activity and the integration is focused on exergame design guidelines for older adults and fitness application guidelines for cardiac patients. The mobile exergame that was developed, has as main goal to walk 10 minutes more a day. The concept of the game is based on taking care of a farm and expanding it by sowing, watering, and planting fruits and vegetables. To do activities in the farm the user has to walk in the physical world, this could be both done indoors or outdoors. Each activity is rewarded with experience points (see screenshot mobile exergame). Conclusion An exergame was successfully developed within an interdisciplinary team with as goal to encourage cardiac patients to walk 10 minutes more a day. This game will now be tested in a randomized control trial, called the Heart-eXg study.Screenshot exergame

Dynamic Visualization of Gyral and Sulcal Stereoelectroencephalographic Contacts in Humans.

Stereoelectroencephalography (SEEG) is a neurosurgical method to survey electrophysiological activity within the brain to treat disorders such as Epilepsy. In this stereotactic approach, leads are implanted through straight trajectories to survey both cortical and sub-cortical activity.Visualizing the recorded locations covering sulcal and gyral activity while staying true to the cortical architecture is challenging due to the folded, three-dimensional nature of the human cortex.To overcome this challenge, we developed a novel visualization concept, allowing investigators to dynamically morph between the subjects' cortical reconstruction and an inflated cortex representation. This inflated view, in which gyri and sulci are viewed on a smooth surface, allows better visualization of electrodes buried within the sulcus while staying true to the underlying cortical architecture.Clinical relevance- These visualization techniques might also help guide clinical decision-making when defining seizure onset zones or resections for patients undergoing SEEG monitoring for intractable epilepsy.

Mobile eye tracking evoked teacher self-reflection about teaching practices and behavior towards students in higher education

This study was based on the concept of teacher professional vision, in which professional reasoning plays a crucial role, and investigated how video with gaze overlay and heatmaps from the mobile eye tracker can support teachers’ professional self-reflection and professional vision development in higher education. Four university teachers wore a mobile eye tracker in a segment of one lecture. Their gaze distribution on classroom targets was analyzed together with their reflective comments when watching the recordings of their own behavior in the lecture. The results showed that mobile eye tracking data provided feedback on the distribution of teacher attention in different areas in the classroom and between students. Visualization of gaze distribution as heatmaps allowed teachers to reflect on how they perceived their gaze allocation and most of them realized that sometimes there was a difference between how they perceived their gaze allocation and how it was captured by the eye tracker. The study revealed where teachers most often diverted their attention, which encouraged them to reflect on why this happened, to think about their professional reasoning, and to analyze opportunities for improvement. Therefore, the heatmap analysis based on the data collected with the mobile eye trackers could be used to develop the professional vision of teachers in different educational contexts for engaging students through more balanced attention to every student in the classroom. Implications for using mobile eye tracker recording and gaze distribution heatmaps in video-based professional development for teachers are discussed.

Concept Mapping with Black Men: Barriers to Prostate Cancer Screening and Solutions.

A structured participatory approach of group concept mapping (GCM) was used to understand barriers and concerns around prostate cancer screening (PCS) among African American (AA) men. One-hundred thirteen AA men aged 35-70 years enrolled from one urban and three rural counties in Alabama. Eighty-five men brainstormed and generated 41 unique ideas in response to a single prompt. Participants (n = 70) sorted ideas into groups and rated them in terms of importance and feasibility to change opinions. Multi-dimensional scaling and cluster analysis were used to analyze the data. Participants (n=50) discussed visual concept maps during three focus-groups and recommended solutions to address key barriers. The mean age of respondents was 52 (±10), 50% were rural, 37% were college-educated, 56% with income <$44,500, and 22% with PROCASE Knowledge Index ≤5. Cluster analyses revealed eight clusters. Participants ranked barriers grouped under "fear of consequences of test," "lack of knowledge," and "costs/no insurance" as most important to improve PCS among AA men. The same three clusters along with "dislike for digital rectal exam (DRE)" were ranked as most difficult to change. No major differences were noted by urban/rural status. Solutions to address barriers included education at a younger age, alternate testing options and open discussion about DRE, and clear and precise messaging by peers and relatable role models. Our study identified specific barriers to PCS among AA with diverse sociodemographic backgrounds. Culturally sensitive interventions delivered by trained healthcare professionals, peers, and relatable role models, can potentially increase PCS among AA men.

유아음악교육에서 물질적 상상력의 의미 고찰

Objectives The purpose of this study is to review Bachelard's material imagination, analyze how material imagination is expressed in musical encounters of young children, and examine the meaning of material imagination in early childhood music education.&#x0D; Methods After examining the historical flow of the concept and value of imagination and the distinctive characteristics of Bachelard's theory of imagination through literature research, examples were extracted from previous studies on the researcher's invented notations. How material imagination is expressed was analyzed in their invented notations.&#x0D; Results Bachelard's theory of imagination overcomes the limitations of opticocentrism, and establishes the dynamic status of imagination by reorganizing the concept of motion of matter of objects. In material imagination, the essence in the depths of the object moves and approaches the subject, and the subject also recognizes the movement of the object with feelings of joy and wonder. The motility of matter possessed by the object gives the object initiative and gives it a status equal to that of the subject. In addition, the ontological qualification of the object is given due to continuous creation, which has the significance of enabling the subject to become an object.&#x0D; Conclusions In the children's invented notations, the children sensed the motility of the musical characteristics of the song and created a new mental image by intertwining their experiences and environments. It can be seen that this is a creation that leads to ‘children - song of ‘everyone jump’ - invented notation - becoming’ through the manifestation of the material imagination of young children.