Visual Modality Research Articles

HKA: A Hierarchical Knowledge Alignment Framework for Multimodal Knowledge Graph Completion

Recent years have witnessed the successful application of knowledge graph techniques in structured data processing, while how to incorporate knowledge from visual and textual modalities into knowledge graphs has been given less attention. To better organize them, Multimodal Knowledge Graphs (MKGs), comprising the structural triplets of traditional Knowledge Graphs (KGs) together with entity-related multimodal data (e.g., images and texts), have been introduced consecutively. However, it is still a great challenge to explore MKGs due to their inherent incompleteness. Although most existing Multimodal Knowledge Graph Completion (MKGC) approaches can infer missing triplets based on available factual triplets and multimodal information, they almost ignore the modal conflicts and supervisory effect, failing to achieve a more comprehensive understanding of entities. To address these issues, we propose a novel H ierarchical K nowledge A lignment ( HKA ) framework for MKGC. Specifically, a macro-knowledge alignment module is proposed to capture global semantic relevance between modalities for dealing with modal conflicts in MKG. Furthermore, a micro-knowledge alignment module is also developed to reveal the local consistency information through inter- and intra-modality supervisory effect more effectively. By integrating different modal predictions, a final decision can be made. Experimental results on three benchmark MKGC tasks have demonstrated the effectiveness of the proposed HKA framework.

Morphostructural, Chemical and Genetic Features of Native Gold in Brown Coals from the Yerkovetsky Deposit, Far East Russia

We studied the morphostructural features and chemical composition of micron and submicron particles of native gold from brown coals and overcoal sediments of the Yerkovetsky deposit (Zeya-Bureya sedimentary basin, Far East Russia). The samples of coal and host rocks in the form of thin sections, as well as coal particles and grains of native gold obtained during the process of dispersion and the fractionation of loose and crushed samples divided according to size and density, were analyzed using scanning electron microscopy in combination with X-ray microanalysis, involving various visualization modes. It was revealed that native gold is syngenetic with the mineralization of brown coals, and microphases dispersed in the minerals of overcoal loose and sandy-clay sediments were the source of native gold. In coal, gold is accumulated at the stages of formation (alluvial and eolian, including terrigenous and ionogenic subtypes) and the diagenesis of coal deposits (ground-infiltration subtype). A significant part of the mineralization process of coals and the formation of microparticles of native gold was contributed to by the descending water infiltration of polycomponent colloid solutions. During the dehydration of hydroxysiliconized iron-based hydrogels, mineral phases have an unstable composition and floccular structure and contain submicron gold particles. The coatings of all gold microparticles have identical origin and composition. Coal beds that border host rocks are an open system with a constant inflow of the substance, which leads to the gradual formation of polycomponent aggregated particles in micro cavities. Part of the gold in coals occurs as sulfur-bearing complexes dissolved in pore water. The key factor in the migration and deposition of gold in coals is the inorganic substances involved in the processes of coal mineralization. Organic substances play a more passive role and have medium-forming, fractionating (colloid, molecular, and ionic sieves), and accumulation functions.

VCAFusion: An infrared and visible image fusion network with visual perception and cross-scale attention

Infrared and visible image fusion methods aim to combine salient target instances and abundant texture details into fused images. However, due to the interference of harsh conditions, such as dense smoke, fog, and intense light, it is feasible for external interference information to be integrated into the fused image, which seriously affects the image quality. To this end, we propose an infrared and visible image fusion network with visual perception and cross-scale attention modules, termed VCAFusion, which integrates critical information from source images in harsh conditions more efficiently. Specifically, considering that the human eye can identify key information under adverse conditions, we design a visual perception module (VPM), guiding information integration from the perspective of human visual perception. In addition, we propose a cross-scale attention module (CSAM) based on shifted window cross-attention, which aims to capture the long-distance correlation between adjacent scale features, providing more accurate image information for image restoration. Experiments with a variety of datasets reveal that the VCAFusion can adaptively retain image information and further improve image generation ability in harsh conditions.

A Study on Chinese Culture in High School English Textbooks of BNUP from the Perspective of Conceptual Blending Theory for Multimodal Metaphors

At the end of the 20th century, scholars represented by Forceville dived into the construction and representation of metaphors using various modalities, leading the shift of metaphor studies towards multimodality, which consequently put the study of multimodal metaphors in the spotlight. English textbooks, as a combination of visual and linguistic modes of expression, contain a large number of metaphors. From the perspective of conceptual blending theory, the paper explores the construction and meaning of multimodal metaphors of Chinese culture in three compulsory high school English textbooks of Beijing Normal University Press. It is found that these three compulsory high school English textbooks of Beijing Normal University Press (BNUP) contain many multimodal metaphors of Chinese culture, and these multimodal metaphors can activate student’s cultural background knowledge and convey the communicative intention of the pictures, thus arousing students’ interest in Chinese culture and fostering cultural confidence.

Virtual reality-based training may improve visual memory and some aspects of sustained attention among healthy older adults – preliminary results of a randomized controlled study

Background/AimsOlder age and cognitive inactivity have been associated with cognitive impairment, which in turn is linked to economic and societal burdens due to the high costs of care, especially for care homes and informal care. Emerging non-pharmacological interventions using new technologies, such as virtual reality (VR) delivered on a head-mounted display (HMD), might offer an alternative to maintain or improve cognition. The study aimed to evaluate the efficacy and safety of a VR-based Digital Therapeutics application for improving cognitive functions among healthy older adults.MethodsSeventy-two healthy seniors (experimental group N = 35, control group N = 37), aged 65–85 years, were recruited by the Medical University of Lodz (Poland). Participants were randomly allocated to the experimental group (a VR-based cognitive training which consists of a warm-up module and three tasks, including one-back and dual-N-back) or to the control group (a regular VR headset app only showing nature videos). The exercises are performed in different 360-degree natural environments while listening to a preferred music genre and delivered on a head-mounted display (HMD). The 12-week intervention of 12 min was delivered at least three times per week (36 sessions). Compliance and performance were followed through a web-based application. Primary outcomes included attention and working memory (CNS-Vital Signs computerized cognitive battery). Secondary outcomes comprised other cognitive domains. Mixed linear models were constructed to elucidate the difference in pre- and post-intervention measures between the experimental and control groups.ResultsThe users performed, on average, 39.8 sessions (range 1–100), and 60% performed more than 36 sessions. The experimental group achieved higher scores in the visual memory module (B = 7.767, p = 0.011) and in the one-back continuous performance test (in terms of correct responses: B = 2.057, p = 0.003 and omission errors: B = -1.950, p = 0.007) than the control group in the post-test assessment. The results were independent of participants’ sex, age, and years of education. The differences in CNS Vital Signs’ global score, working memory, executive function, reaction time, processing speed, simple and complex attention, verbal memory, cognitive flexibility, motor speed, and psychomotor speed were not statistically significant.ConclusionsVR-based cognitive training may prove to be a valuable, efficacious, and well-received tool in terms of improving visual memory and some aspect of sustainability of attention among healthy older adults. This is a preliminary analysis based on part of the obtained results to that point. Final conclusions will be drawn after the analysis of the target sample size.Trial registrationClinicaltrials.gov ID NCT05369897.

AI-Empowered Multimodal Hierarchical Graph-Based Learning for Situation Awareness on Enhancing Disaster Responses

Situational awareness (SA) is crucial in disaster response, enhancing the understanding of the environment. Social media, with its extensive user base, offers valuable real-time information for such scenarios. Although SA systems excel in extracting disaster-related details from user-generated content, a common limitation in prior approaches is their emphasis on single-modal extraction rather than embracing multi-modalities. This paper proposed a multimodal hierarchical graph-based situational awareness (MHGSA) system for comprehensive disaster event classification. Specifically, the proposed multimodal hierarchical graph contains nodes representing different disaster events and the features of the event nodes are extracted from the corresponding images and acoustic features. The proposed feature extraction modules with multi-branches for vision and audio features provide hierarchical node features for disaster events of different granularities, aiming to build a coarse-granularity classification task to constrain the model and enhance fine-granularity classification. The relationships between different disaster events in multi-modalities are learned by graph convolutional neural networks to enhance the system’s ability to recognize disaster events, thus enabling the system to fuse complex features of vision and audio. Experimental results illustrate the effectiveness of the proposed visual and audio feature extraction modules in single-modal scenarios. Furthermore, the MHGSA successfully fuses visual and audio features, yielding promising results in disaster event classification tasks.

Figurativeness and Humour in Covid-19-Related Internet Memes

Figurativeness and Humour in Covid-19-Related Internet Memes

Exploring the Affordances and Propensities of Multimodality in Narrative Pedagogies through Multimodal Ethnography

This paper seeks to reflect on the propensities and advantages of multimodality in teaching and learning, and its rich exploration through multimodal research. It will also report and reflect upon the findings of a small-scale multimodal ethnographic study that was conducted over one scholastic year. This investigated whether, and how, the use of multimodal creative productions can facilitate adolescents’ search for meaning through the re-configuration and re-imagination of life experiences shared in a classroom context. The pedagogical context of this research consisted of RE (Religious Education), and MLE (Media Literacy Education) classrooms, enabling an exploration into a possible fruitful dialogue between these two curricular subjects. Another related aim of this paper is to investigate how a narrative-hermeneutic approach to learning can facilitate meaning-making when applied to and through multimodal production tasks in RE and MLE. The results indicate that through multimodality, made possible by the advancement of creative digital technologies, narrative pedagogies can become more effective. This transpires from the fact that multimodality expands the range of resources available for students to construct and share their narratives, as it integrates the auditory, visual, gestural, linguistic, and spatial modes, augmenting the overall narrative experience. Moreover, this study shows that multimodality can facilitate meaning-making by promoting and nurturing a pedagogy for creative expression, a pedagogy of empathy and compassion, a pedagogy of agency and authenticity, a pedagogy of vulnerability, and a pedagogy through the use of metaphor. The paper also makes specific recommendations on how a narrative-hermeneutical approach through multimodality can promote the specified pedagogies in the context of the mentioned curricular subjects.

Real-time and high-sensitive colorimetric sensor based on photonic crystal for amniotic fluid identification

In this study, we proposed a pH-responsive photonic crystal hydrogel sensor (PCHs) to conveniently and accurately recognize the amniotic fluid from urine of parturient women, which was constituted by three-dimensional polymethyl acrylamide (PMMA) array and optimized hydrogel. PMMA array was self-assembled by 180 nm monodispersed nanoparticles with vertical sedimentation method. The functional hydrogel containing N-acryloyl phenylalanine (APA), acrylamide (AM) and N, N'-methylene bis(acrylamide) (BIS) as co-monomer and crosslinking agent respectively, was photo-polymerized by the precursor under 365 nm UV light. This hydrogel significantly shrank or swelled corresponding to the acidity and alkalinity of the aqueous solution, which resulted in both the reflection peak position (λmax) of the prepared sensor and its structural color changing with the pH value. The λmax of PCHs redshifted from 514 nm to 606 nm in 60 s while the pH value of testing solution increased from 4.5 to 8.0, which exactly covered the pH value of amniotic fluid and urine. Correspondingly, its structure color gradually changed from pale-green to red ensuring their naked-eye determination. Furthermore, an extremely high sensitivity as 26.3 nm/pH of Δλmax was obtained which was linearly related to pH value. The prepared sensor possessed steady accuracy and extraordinary sensitivity compared with the pH test strip which was generally used in amniorrhexis diagnosis nowadays besides the advantages of the low cost, simple operation, rapid response and visual detection mode. The reliability of this PCHs was further confirmed by the real sample detection which relative standard deviation was below 5.0 %, suggesting its potential clinical applications.

Designing user interfaces for partially automated Vehicles: Effects of information and modality on trust and acceptance

Trust and perceived safety are pivotal in the acceptance of automated vehicles and can be enhanced by providing users with automation information on the (safe) operation of the vehicle. This study aims to identify how user interfaces (UI) can enhance drivers' trust and acceptance and reduce perceived risk in partially automated vehicles. Four interfaces were designed with different levels of complexity. These levels were achieved by combining automation information (surrounding information vs surrounding and manoeuvre information) and modality (visual vs visual and auditory). These interfaces were evaluated in a driving simulator in which a partially automated vehicle reacted to an event of a merging and braking vehicle in its front. The criticality of the events was manipulated by the factors merging gap (in meters) and deceleration (m/s2) of the vehicle in front. The reaction of the automation was either to brake or to change lanes. The results show that an optimal combination of automation information and modality enhances drivers' trust and acceptance. More specifically, the most advanced UI, which provided surrounding and manoeuvre information via the visual and auditory modalities, was associated with the highest trust and acceptance ranking and the lowest perceived risk. Manoeuvre information delivered through the auditory modality was particularly effective in enhancing trust and acceptance. The benefits of the UIs were consistent over events. However, in the most critical events, drivers did not feel entirely safe and did not trust the automation completely. This study suggests that the design of UIs for partially automated vehicles shall include automation information via visual and auditory modalities.

Greater utilization of executive functions networks when listening to stories with visual stimulation is related to lower reading abilities in children

Narrative comprehension relies on basic sensory processing abilities, such as visual and auditory processing, with recent evidence for utilizing executive functions (EF), which are also engaged during reading. EF was previously related to the “supporter” of engaging the auditory and visual modalities in different cognitive tasks, with evidence of lower efficiency in this process among those with reading difficulties in the absence of a visual stimulus (i.e. while listening to stories). The current study aims to fill out the gap related to the level of reliance on these neural circuits while visual aids (pictures) are involved during story listening in relation to reading skills. Functional MRI data were collected from 44 Hebrew-speaking children aged 8–12 years while listening to stories with vs without visual stimuli (i.e., pictures). Functional connectivity of networks supporting reading was defined in each condition and compared between the conditions against behavioral reading measures. Lower reading skills were related to greater functional connectivity values between EF networks (default mode and memory networks), and between the auditory and memory networks for the stories with vs without the visual stimulation. A greater difference in functional connectivity between the conditions was related to lower reading scores. We conclude that lower reading skills in children may be related to a need for greater scaffolding, i.e., visual stimulation such as pictures describing the narratives when listening to stories, which may guide future intervention approaches.

Virtual dynamic interaction games reveal impaired multisensory integration in women with migraine.

In this cross-sectional observational study, we aimed to investigate sensory profiles and multisensory integration processes in women with migraine using virtual dynamic interaction systems. Compared to studies on unimodal sensory processing, fewer studies show that multisensory integration differs in patients with migraine. Multisensory integration of visual, auditory, verbal, and haptic modalities has not been evaluated in migraine. A 12-min virtual dynamic interaction game consisting of four parts was played by the participants. During the game, the participants were exposed to either visual stimuli only or multisensory stimuli in which auditory, verbal, and haptic stimuli were added to the visual stimuli. A total of 78 women participants (28 with migraine without aura and 50 healthy controls) were enrolled in this prospective exploratory study. Patients with migraine and healthy participants who met the inclusion criteria were randomized separately into visual and multisensory groups: Migraine multisensory (14 adults), migraine visual (14 adults), healthy multisensory (25 adults), and healthy visual (25 adults). The Sensory Profile Questionnaire was utilized to assess the participants' sensory profiles. The game scores and survey results were analyzed. In visual stimulus, the gaming performance scores of patients with migraine without aura were similar to the healthy controls, at a median (interquartile range [IQR]) of 81.8 (79.5-85.8) and 80.9 (77.1-84.2) (p = 0.149). Error rate of visual stimulus in patients with migraine without aura were comparable to healthy controls, at a median (IQR) of 0.11 (0.08-0.13) and 0.12 (0.10-0.14), respectively (p = 0,166). In multisensory stimulation, average gaming score was lower in patients with migraine without aura compared to healthy individuals (median [IQR] 82.2 [78.8-86.3] vs. 78.6 [74.0-82.4], p = 0.028). In women with migraine, exposure to new sensory modality upon visual stimuli in the fourth, seventh, and tenth rounds (median [IQR] 78.1 [74.1-82.0], 79.7 [77.2-82.5], 76.5 [70.2-82.1]) exhibited lower game scores compared to visual stimuli only (median [IQR] 82.3 [77.9-87.8], 84.2 [79.7-85.6], 80.8 [79.0-85.7], p = 0.044, p = 0.049, p = 0.016). According to the Sensory Profile Questionnaire results, sensory sensitivity, and sensory avoidance scores of patients with migraine (median [IQR] score 45.5 [41.0-54.7] and 47.0 [41.5-51.7]) were significantly higher than healthy participants (median [IQR] score 39.0 [34.0-44.2] and 40.0 [34.0-48.0], p < 0.001, p = 0.001). The virtual dynamic game approach showed for the first time that the gaming performance of patients with migraine without aura was negatively affected by the addition of auditory, verbal, and haptic stimuli onto visual stimuli. Multisensory integration of sensory modalities including haptic stimuli is disturbed even in the interictal period in women with migraine. Virtual games can be employed to assess the impact of sensory problems in the course of the disease. Also, sensory training could be a potential therapy target to improve multisensory processing in migraine.

Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding

Grounding temporal video segments described in natural language queries effectively and efficiently is a crucial capability needed in vision-and-language fields. In this paper, we deal with the fast video temporal grounding (FVTG) task, aiming at localizing the target segment with high speed and favorable accuracy. Most existing approaches adopt elaborately designed cross-modal interaction modules to improve the grounding performance, which suffer from the test-time bottleneck. Although several common space-based methods enjoy the high-speed merit during inference, they can hardly capture the comprehensive and explicit relations between visual and textual modalities. In this paper, to tackle the dilemma of speed-accuracy tradeoff, we propose a commonsense-aware cross-modal alignment network (C 2 AN), which incorporates commonsense-guided visual and text representations into a complementary common space for fast video temporal grounding. Specifically, the commonsense concepts are explored and exploited by extracting the structural semantic information from a language corpus. Then, a commonsense-aware interaction module is designed to obtain bridged visual and text features by utilizing the learned commonsense concepts. Finally, to maintain the original semantic information of textual queries, a cross-modal complementary common space is optimized to obtain matching scores for performing FVTG. Extensive results on two challenging benchmarks show that our C 2 AN method performs favorably against state-of-the-arts while running at high speed. Our code is available at https://github.com/ZiyueWu59/CCA.

Dynamic 3-D Visualization System of Sea Flow Field Based on Virtual Reality Technology in the Environment of Internet of Things

Abstract Ocean 3-D dynamic visualization is a method to analyze the law of ocean motion by processing complex and changeable ocean data by importing and visualizing. Through 3-D visualization design, the ability to analyze and reconstruct 3-D visualization characteristics of sea area flow field can be improved. To improve the 3-D dynamic visualization effect of ocean flow field and reveal the law of ocean motion, this paper designs a 3-D dynamic visualization system of ocean flow field based on virtual reality technology. Firstly, the framework of the dynamic 3-D visualization system of sea area flow field was designed. On the basis of defining the system development environment, the system software was developed and designed from the aspects of information acquisition module, database model, 3-D reconstruction module, visual simulation module, etc. So far, the design of the 3-D dynamic visualization system of sea area flow field was realized. The simulation results show that the output stability of the design system is good, the visualization ability is strong, and it has certain application values.

Мультимодальная репрезентация Дня мертвых в мексиканском мультипликационном дискурсе

The article aims to identify the multimodal means of representing the Day of the Dead in Mexican children’s animated films in Spanish. The research focuses on the verbal and non-verbal means of representing this major Mexican holiday in the animated films Coco and El libro de la vida, which are identified using multimodal analysis. The multimodal representation of the celebration of the Day of the Dead is a discursive whole, conveying culturally significant information through verbal, visual and auditory modes. The holiday is depicted in bright colours, whose symbolism is rooted in the culture of the ancient Mayan and Aztec tribes. Death is shown as a natural transition to the next stage of existence, i.e. the bright world of the eternal holiday. The key idea in the multimodal representation of the celebration of the Day of the Dead is that of preserving memory, which at the verbal level is actualized through lexical units with the meanings of memory and closeness and through the lexical-thematic group family and loved ones; at the non-verbal (visual) level the idea is manifested by images of family reunions at cemeteries on the Day of the Dead, while at the auditory level, through the song “Recuérdame”, whose style and manner of performance in Coco change depending on the singer and the meanings being conveyed. Representatives of Mexican linguoculture believe that a person continues to live as long as he/she is remembered. The life in the Land of the Remembered is portrayed by means of positive evaluative adjectives with the meaning of holiday/ fun, while the poor souls in the Land of the Forgotten will face a sad and lonely fate and final death. Multimodal representation of the Day of the Dead involves using certain lexical-semantic units and visual components of the animated text to demonstrate the key culture-specific realia (ofrenda, alebrije, cempasúchil, calavera).

Predictive analysis of power degradation rate in solar PV systems emphasizing hot spots and visual effects-based failure modes

A definite and exclusive long-term PV degradation projection is required to reduce financial vulnerability in the solar photovoltaic plant-based energy transition markets. So, in this paper beside a traditional linear rate approach, a non-linear design tool for quantifying long-term failure mode-based power degradation rate (Rd), is proposed. An on-field experimental investigation incorporating visual effects-based Solar I–V characterization and thermal imaging for a duration of 1 year (February 2022 to January 2023) is carried out on a realistic solar PV system exposed to field conditions for 5–6 years. The experimentally evaluated Rd is 7.7 %/year. Two non-linear failure mode-based Rd models employing machine learning approaches, with differences in inputs are developed and are proven economically useable against the reported assessment techniques. The root mean square error (RMSE) for model 1 and model 2 during testing is 0.0019 and 0.0020 respectively (LSTM based approach) whereas testing error for model 1 and model 2 using back propagation based approach is 0.00182 and 0.00132 respectively. The proposed tool is also validated for a realistic PV plant in Telangana. A closeness of prediction against the actual of 9.0 % is observed for model 1 during validation, whereas the same for model 2 is 9.6 %.

A Comparative Multimodal Stylistics Analysis of Selected Newspapers Cartoons

This study focuses on the comparative multimodal stylistic analysis of selected newspapers cartoons. A comparative study of newspapers cartoon juxtaposes two or more newspaper cartoon brands. Multimodality entails the mode(s) employed in a cartoon to portray meaning. The data for the study comprises ten cartoons selected through the purposive random sampling technique between 2020 and 2021 from The Punch, The Nation and The Guardian newspapers respectively. Data were analysed using Halliday’s meta-function of language in his Systemic Functional Grammar. It was discovered that framing, salience and linking layout are handy analytical tools in carrying out a multimodal analysis; each brand communicates its thoughts in a unique way with salient similarities and it was discovered that newspaper cartoons also lament the current tragic occurrence in society. This study concludes that visual mode is the lifeblood of a newspaper cartoon while the verbal mode only complements cartoon but cannot stand alone as a newspaper cartoon.

Implementing Discovery Learning Model using Virtual Laboratory: An Insight to Differentiation Learning Strategies

Students have unique and diverse characteristics. One of the strategies used to facilitate student diversity is through differentiation learning. The research aims to explain the findings or problems of case studies in learning Physics at SMAN 8 Yogyakarta and explain the differentiated learning to solve these problems. The research approach used is qualitative with the case study method. Data collection techniques use non-test techniques using documentation and observation. Based on the results, differentiated learning can facilitate the needs of students who have diverse learning modalities, including students with visual and kinesthetic learning modalities. The implementation of discovery learning using virtual laboratories assisted by PhET Colorado can be an alternative learning model in teaching Physics. Future research can measure students' knowledge, attitudes or skills in applying differentiated learning and combining it with other learning models

L’altérité: une composante clé de l'apprentissage par l'expérience?

Taking the view that learning is only learning when it is accompanied by experience, this research focuses on the identifiable variables of this experiential dimension. To do this, the researchers followed learners as they discovered cultural otherness through the Dialogue en route project (https://enroute.ch/fr/), which involves a dual encounter with a cultural site and a witness to that site. To reach the learners' semiosis, the researchers documented their learning activity using two types of trace, visual and verbal. Because of their fundamentally different intrinsic characteristics, the two types of trace opened up a process-space of intelligibility that enabled the researchers to empirically document the complexity of meaning-making, its situated nature and its potential impact on learning. To this end, the temporality of trace production was used as an instrument, since the learners photographed moments in the double encounter situation and then captioned them afterwards. Reconstructing the situation as it unfolded turned the visual and verbal modalities into semiotic resources that the learners used to reconstruct their potential experience. For the researchers, the study of the relationships between these two modal traces makes it possible to qualify the experience lived by the learners. The limited number of so-called 'rupture' relationships between the images and their verbal captions, revealing a singular experience with a high learning potential, raises questions about both the pedagogical device and the emergence of collectively constructed knowledge, captured here in its 'average' restitution rather than in its negotiation.

PENGEMBANGAN MODUL PEMBELAJARAN SOSILOGI BERMEDIA VISUAL MAHASISWA STIKES HARAPAN IBU JAMBI

This study aims to develop a sociology of media visual learming modules that can facilitate learning students in sociology courses. The use of sociology of learning modules developed have special guality compared with not using a module, so as to facilitate student learning sociology courses. Researeh is the development of Dick and Carey model as for the procedures in the development of this research are as follows: analysis of the potential and problems, data collection, productdesign, product validation, 2 (two) experts are skilled instructional design and materials expert, and then implement the revised of the design has been validated, tested on a limited group, has revised the product, conduct field trials, and then revise the product back, and the final stage is a product of module development sociology. The results showed that the overall learning modules developed having good criterion with an average of 3.88 based upon the response and course student learning outcomes of public health sciences major goals in learning.The results can be concluded that the learning module that was developed a learning module using visual media for teaching sociology is easy to use as a learning module on the subject of sociology studies of public health sciences programmed STIKES Harapan Ibu Jambi. As for the suggestions from the results of data analysis in this development was before the development of learning modules mediated visual sociology, should show the problems that have public health science study programs so that the resulting product can be optimally used and for further development, preferably in added the material development of learning modules using visual media.