惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

S
SegmentFault 最新的问题
爱范儿
爱范儿
博客园 - 三生石上(FineUI控件)
Microsoft Security Blog
Microsoft Security Blog
Google DeepMind News
Google DeepMind News
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
GbyAI
GbyAI
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
V
V2EX
酷 壳 – CoolShell
酷 壳 – CoolShell
量子位
博客园_首页
T
Tailwind CSS Blog
aimingoo的专栏
aimingoo的专栏
A
About on SuperTechFans
T
The Blog of Author Tim Ferriss
Stack Overflow Blog
Stack Overflow Blog
Recent Announcements
Recent Announcements
P
Proofpoint News Feed
博客园 - 司徒正美
有赞技术团队
有赞技术团队
Engineering at Meta
Engineering at Meta
Last Week in AI
Last Week in AI
MongoDB | Blog
MongoDB | Blog

cs.SI updates on arXiv.org

Hiding in Plain Sight: Finding MAHA on Reddit Prism: Structural Symmetry Scanning via Duality-Constrained Laplacian Projection MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling Algorithmic Cultivation: How Social Media Feeds Shape User Language Universal Dynamics of Punctuated Progress AI-Mediated Communication Can Steer Collective Opinion CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity Explainable Detection of Depression Status Shifts from User Digital Traces Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles Humanwashing -- It Should Leave You Feeling Dirty When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue Linking Extreme Discourse to Structural Polarization in Signed Interaction Networks Predicting Channel Closures in the Lightning Network with Machine Learning Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence When Can Digital Personas Reliably Approximate Human Survey Findings? RAwR: Role-Aware Rewiring via Approximate Equitable Partition GravityGraphSAGE: Link Prediction in Directed Attributed Graphs Structure-Centric Graph Foundation Model via Geometric Bases Attention-based graph neural networks: a survey When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge Scalable inference of spatial regions and temporal signatures from time series Can LLMs Emulate Human Belief Dynamics? Predicting Post Virality with Temporal Cross-Attention over Trend Signals H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
The use of blogs in the education field: A qualitative sy...
Carlos R. del Blanco, Ivan García-Magariño · 2018-10-12 · via cs.SI updates on arXiv.org

Blogs have become one of the most successful tools of the Web 2.0 because of their ease of use and the availability of open platforms. They have quickly spread in the education field thanks to the many attractive qualities that have been attributed to them, such as collaboration, communication, enhancing of professional writing, and the improvement of information-gathering skills. However, many of the studies that have addressed this issue were not based on an empirical research, and therefore they are unreliable. On the other hand, the studies that do have conducted an empirical research have usually relied on participant self-reported data (surveys, interviews, and contents of blogs), which can significantly bias the positive results usually reported on the use of blogs. Another source of bias and inaccuracy in the reported results is that most of the studies lacked control group, i.e they do not follow an experimental design. The purpose of this review is to examine the current state of the studies related to the evaluation of the blog effects in the education field. The methods to select the studies and perform the corresponding analysis have followed a qualitative systematic approach. The selection has been restricted to empirical and peer-reviewed studies published between January 2011 and June 2013. The findings have been integrated and compared using the Grounded Theory, giving rise to a set of categories that have structured the results of the review.