AI Article Synopsis
- E-learning is a flexible and effective option for education, especially with video-based learning (VBL) allowing students to engage asynchronously.
- Evaluating the effectiveness of educational videos is complex; this study used data from the XuetangX dataset to analyze student behavior and metadata related to video usage.
- Findings show that video engagement is more about student preferences than video content, with well-made videos keeping students engaged longer, while shorter videos, although more often completed, are frequently overlooked.
Article Abstract
Due to its inherent flexibility and adaptability, e-learning has become a versatile and effective educational option, with video-based learning (VBL) enabling asynchronous engagement. Despite the wealth of video resources, evaluating their effectiveness remains challenging. This study employs a comprehensive approach, analyzing student behavior and video metadata to assess educational videos' efficacy. Metrics such as average playback speed, video and course completion rates, and video metadata were examined using the XuetangX dataset, MOOC- CubeX. Results indicate that viewing patterns are more influenced by students' choices than by video content. Well-conceptualized videos increase viewing time, with 17 % of students engaging with videos over 30 min if they cover focused topics. While shorter videos generally have higher completion rates, many remain untouched. Playback speed analysis shows a preference for standard speed, with positive correlations between speed and both completion percentage and viewing time. Courses under 5 h are likely to be watched for less than an hour, reflecting brief viewing durations. Metadata analysis reveals that generic titles may deter engagement, underscoring the importance of precise tagging and content relevance for enhancing student interaction.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11564933 | PMC |
| http://dx.doi.org/10.1016/j.heliyon.2024.e39682 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Metagenome-validated combined amplicon sequencing and text mining-based annotations for simultaneous profiling of bacteria and fungi: vaginal microbiota and mycobiota in healthy women.
Microbiome
December 2024
Faculty of Medicine, Human Microbiome Research Program, University of Helsinki, Helsinki, Finland.
Background: Amplicon sequencing of kingdom-specific tags such as 16S rRNA gene for bacteria and internal transcribed spacer (ITS) region for fungi are widely used for investigating microbial communities. So far most human studies have focused on bacteria while studies on host-associated fungi in health and disease have only recently started to accumulate. To enable cost-effective parallel analysis of bacterial and fungal communities in human and environmental samples, we developed a method where 16S rRNA gene and ITS1 amplicons were pooled together for a single Illumina MiSeq or HiSeq run and analysed after primer-based segregation.
View Article and Find Full Text PDFAssessing the Reliability of YouTube Content for Plastic Surgery Patient Information in Africa With the Modified DISCERN and JAMA Scores.
Ann Plast Surg
December 2024
Operation Smile, Norfolk, VA.
Introduction: YouTube has become a popular source of health information, including plastic surgery. Given the platform's wide reach and potential influence on patient decisions, this study aimed to assess the quality of information available on YouTube for African audiences seeking plastic surgery procedures.
Methods: This cross-sectional study extracted data from YouTube videos on plastic surgery relevant to Africa.
An fMRI dataset in response to large-scale short natural dynamic facial expression videos.
Sci Data
November 2024
Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, 450000, China.
Facial expression is among the most natural methods for human beings to convey their emotional information in daily life. Although the neural mechanisms of facial expression have been extensively studied employing lab-controlled images and a small number of lab-controlled video stimuli, how the human brain processes natural dynamic facial expression videos still needs to be investigated. To our knowledge, this type of data specifically on large-scale natural facial expression videos is currently missing.
View Article and Find Full Text PDFWhich videos are better for the students? Analyzing the student behavior and video metadata.
Heliyon
November 2024
Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicent sos Baynat, s/n, Castellón de la Plana, 12071, Spain.
Article Synopsis
- E-learning is a flexible and effective option for education, especially with video-based learning (VBL) allowing students to engage asynchronously.
- Evaluating the effectiveness of educational videos is complex; this study used data from the XuetangX dataset to analyze student behavior and metadata related to video usage.
- Findings show that video engagement is more about student preferences than video content, with well-made videos keeping students engaged longer, while shorter videos, although more often completed, are frequently overlooked.
#TraumaTok-TikTok Videos Relating to Trauma: Content Analysis.
JMIR Form Res
November 2024
The Kids Research Institute Australia, Nedlands, Australia.
Background: Experiencing a traumatic event can significantly impact mental and emotional well-being. Social media platforms offer spaces for sharing stories, seeking support, and accessing psychoeducation. TikTok (ByteDance), a rapidly growing social media platform, is increasingly used for advice, validation, and information, although the content of this requires further study.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!