multimedia learning

With the evolution of the Internet and multimedia technologies, delving deep into multimedia data for predicting topic richness holds significant practical implications in public opinion monitoring and data discourse power competition. This study introduces an algorithm for predicting English topic richness based on the Transformer model, applied specifically to the Twitter platform. Initially, relevant data is organized and extracted following an analysis of Twitter's characteristics. Subsequently, a feature fusion approach is employed to mine, extract, and construct features from Twitter blogs and users, encompassing blog features, topic features, and user features, which are amalgamated into multimodal features...

INTRODUCTION: The objective of the study was to assess if improvement of the learner experience could be achieved through the use of instructional design strategies in current Good Manufacturing Practices (cGMP) training. This is a novel application in a topic that is known to be boring but is critical to ensuring patient safety. METHODS: An experimental randomized controlled repeated measures cross-over design was utilized in a sample of pharmacy students to determine the effect of an intervention training strategy (which utilized a mix of strategies including weeding, signaling, use of multimedia, and optimized space and type) on the learner experience (Evaluation, Overall Satisfaction, Perceived Knowledge, and Future Recommendation) compared with a control...

This study explored the effectiveness of digital story interventions in improving early math skills in kindergarten children with mild intellectual disabilities. Digital stories are multimedia narratives that combine text, images, and audio to enhance learning experience. This experimental study used a pretest-posttest control group design. The intervention group consisted of 15 children who participated in an 8-week digital story intervention targeting early math skills. A matched control group was used to control for sex differences...

Recently, there has been a trend of designing neural data structures to go beyond handcrafted data structures by leveraging patterns of data distributions for better accuracy and adaptivity. Sketches are widely used data structures in real-time web analysis, network monitoring, and self-driving to estimate item frequencies of data streams within limited space. However, existing sketches have not fully exploited the patterns of the data stream distributions, making it challenging to tightly couple them with neural networks that excel at memorizing pattern information...

Malnutrition is a prevalent and severe issue in hospitalized patients with chronic diseases. However, malnutrition screening is often overlooked or inaccurate due to lack of awareness and experience among health care providers. This study aimed to develop and validate a novel digital smartphone-based self-administered tool that uses facial features, especially the ocular area, as indicators of malnutrition in inpatient patients with chronic diseases. Facial photographs and malnutrition screening scales were collected from 619 patients in four different hospitals...

BACKGROUND: In medical imaging courses, due to the complexity of anatomical relationships, limited number of practical course hours and instructors, how to improve the teaching quality of practical skills and self-directed learning ability has always been a challenge for higher medical education. Artificial intelligence-assisted diagnostic (AISD) software based on volume data reconstruction (VDR) technique is gradually entering radiology. It converts two-dimensional images into three-dimensional images, and AI can assist in image diagnosis...

OBJECTIVES: To map the current use of paper-based and/or screen-based media for health education aimed at older people. DESIGN: A scoping review was reported following the Preferred Reporting Items of Systematic Reviews and Meta-analyses for Scoping Reviews checklist. DATA SOURCES: The search was carried out in seven databases (Scopus, Web of Science, Embase, Medline, CINAHL, ACM Guide to Computing Literature, PsycINFO), with studies available from 2012 to the date of the search in 2022, in English, Portuguese, Italian or Spanish...

OBJECTIVE: This study aimed at developing and validating a web application on hypertension management called the D-PATH website. METHODS: The website development involved three stages: content analysis, web development, and validation. The model of Internet Intervention was used to guide the development of the website, in addition to other learning and multimedia theories. The content was developed based on literature reviews and clinical guidelines on hypertension...

OBJECTIVE: Effective health communication is critical for understanding and acting on health information. This cross-sectional study explored participants' understanding of their health condition, their preferences for receiving health communications, and their interest in receiving clinical trial results across several therapeutic areas. METHODS: The study recruited participants via social media, email newsletters, and advocacy organizations. An online screener captured demographic information (health conditions, age, race/ethnicity, gender, and education)...

Phenomenon : Educational activities for students are typically arranged without consideration of their preferences or peak performance hours. Students might prefer to study at different times based on their chronotype, aiming to optimize their performance. While face-to-face activities during the academic schedule do not offer flexibility and cannot reflect students' natural learning rhythm, asynchronous e-learning facilitates studying at one's preferred time. Given their ubiquitous accessibility, students can use e-learning resources according to their individual needs and preferences...

Videos are considered as most trustworthy means of communication in the present digital era. The advancement in multimedia technology has made video content sharing and manipulation very easy. Hence, the video authenticity is a challenging task for the research community. Video forensics refer to uncovering the forgery traces. The detection of spatiotemporal object-removal forgery in surveillance videos is crucial for judicial forensics, as the presence of objects in the video has significant information as legal evidence...

BACKGROUND: Many clinical trials fail because of poor recruitment and enrollment which can directly impact the success of biomedical and clinical research outcomes. Options to leverage digital technology for improving clinical trial management are expansive, with potential benefits for improving access to clinical trials, encouraging trial diversity and inclusion, and potential cost-savings through enhanced efficiency. OBJECTIVES: This systematic review has two key aims: (1) identify and describe the digital technologies applied in clinical trial recruitment and enrollment and (2) evaluate evidence of these technologies addressing the recruitment and enrollment of racial and ethnic minority groups...

BACKGROUND: Nowadays, especially after the COVID-19 pandemic, electronic learning (eLearning) has become a necessity in education. eLearning can be either synchronous, where classes are conducted in real-time, or asynchronous, where students can access the class material at any time. Student-instructor interaction has become essential to the educational process. In the literature, most studies have focused on the preferred methods of eLearning and the barriers to interaction in eLearning...

Digital technology creates new opportunities to design multisensory learning experiences. Evidence suggests that digital innovation can greatly benefit health education, including nutrition programs. The COVID-19 pandemic disrupted the education sector, forcing schools to modify standard practices from exclusively in-person delivery to online or blended learning. Digitalized curriculums became particularly useful as an Emergency Remote Teaching tool. This article focuses on developing and implementing a multimedia, multisensory, and scalable Hip-Hop Healthy Eating and Living in Schools (H...

This study examines the potential of AI-powered personal voice assistants (PVAs) in reducing loneliness and increasing social support among older adults. With the aging population rapidly expanding, innovative solutions are essential. Prior research has indicated the effectiveness of various interactive communication technologies (ICTs) in mitigating loneliness, but studies focusing on PVAs, particularly considering their modality (audio vs. video), are limited. This research aims to fill this gap by evaluating how voice assistants, in both audio and video formats, influence perceived loneliness and social support...

BACKGROUND: Owing to the COVID-19 pandemic, the summer of 2020 saw face-to-face teaching replaced by online teaching. The question arose as to how digitalisation may be implemented meaningfully. The views of lecturers and students on past online programmes were gathered in order to identify potential and future prospects. PROJECT DESCRIPTION: An exploratory, guidelines-based interview study was conducted during the clinical phase of the medicine degree at the Faculty of Medicine in Würzburg...

Decorative pictures (DP) are often used in multimedia task materials and are commonly considered so-called seductive details as they are commonly not task-relevant. Typically, DP result in mixed effects on behavioral performance measures. The current study focused on the effects of DP on the cognitive load during text reading and working memory task performance. The theta and alpha frequency band power of the electroencephalogram (EEG) and pupil dilation served as proxies of cognitive load. The number of fixations, mean fixation durations, and the number of transitions served as proxies of the attentional focus...

Micro-expressions (ME) are rapidly occurring expressions that reveal the true emotions that a human being is trying to hide, cover, or suppress. These expressions, which reveal a person's actual feelings, have a broad spectrum of applications in public safety and clinical diagnosis. This study provides a comprehensive review of the area of ME recognition. A bibliometric and network analysis techniques is used to compile all the available literature related to ME recognition. A total of 735 publications from the Web of Science (WOS) and Scopus databases were evaluated from December 2012 to December 2022 using all relevant keywords...

RF-based gesture recognition systems outperform computer vision-based systems in terms of user privacy. The integration of Wi-Fi sensing and deep learning has opened new application areas for intelligent multimedia technology. Although promising, existing systems have multiple limitations: (1) they only work well in a fixed domain; (2) when working in a new domain, they require the recollection of a large amount of data. These limitations either lead to a subpar cross-domain performance or require a huge amount of human effort, impeding their widespread adoption in practical scenarios...

COVID-19 forced students to rely on online learning using multimedia tools, and multimedia learning continues to impact education beyond the pandemic. In this study, we combined behavioral, eye-tracking, and neuroimaging paradigms to identify multimedia learning processes and outcomes. College students viewed four video lectures including slides with either an onscreen human instructor, an animated instructor, or no onscreen instructor. Brain activity was recorded via fMRI, visual attention was recorded via eye-tracking, and learning outcome was assessed via post-tests...