About this Research Topic
This Research Topic is dedicated to the novel or significantly expanded at scale approaches and applications supporting various stakeholders and minimizing skills gap. Submissions can describe new tools, novel metrics, challenges in designing courses responsive to labor market demands, new collaborations between institutions and industry, prediction models for career paths or skills-in-demand. The main research question is: What tools and scientific knowledge can help predict critical skills, build career paths for learners, and “skillify” educational programs?
We cordially invite authors to submit high-quality manuscripts, such as original research papers, review articles, and case studies. Topics of interest include, but are not limited to, the following:
• Mining job postings data
• Course and career recommender systems
• Skill gap analysis
• Academia and Industry alliance
• Policy recommendations
• Prediction models
• Innovative programs development
• Visualization tools
• Learning analytics
• Educational mining
• Informal learning
• Networked learning
• Capability development
Keywords: skills gap, labor market, recommender systems, personalized career path, educational data mining, learning analytics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.