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Technology Knowledge and Learning

  • h-index: 57
  • Total citations: 13,820
  • Total papers: 473
  • Impact factor: 5.382113821138211

Homepage: https://link.springer.com/journal/10758

Technology Knowledge and Learning

Journal
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H-Index = 57
Citations = 13.82K+

Papers

Evidence

Recent papers in Technology Knowledge and Learning

  1. LogicGate: A Student-Centred Digital Game-Based Learning ExperienceTechnology Knowledge and Learning · Wed,
  2. Investigating Key Factors Influencing Students’ Acceptance and Satisfaction with a Block Model E-Learning System: An Integrated SEM-Neural Network ApproachTechnology Knowledge and Learning · Wed,
  3. Digital Game-Based Learning in Primary Education: A Cluster-Randomized Controlled Trial on Knowledge, Skills, and MotivationTechnology Knowledge and Learning · Mon,
  4. A Scalable and Interpretable Framework for Early Identification of Recommendation-Oriented Learner CategoriesTechnology Knowledge and Learning · Mon,
  5. Encouraging Growth in Programming Education: Does Growth Mindset Feedback Influence Learning?Technology Knowledge and Learning · Wed,
  6. Fostering Communication, Collaboration, Critical Thinking, and Creativity via Educational RoboticsTechnology Knowledge and Learning · Sat,
  7. Eliciting Student Authority over AI Feedback: The AI as Critic Mechanism in SAGE-Based Systems Analysis and Design EducationTechnology Knowledge and Learning · Sat,
  8. Digital Learning Environments and Financial Literacy: A Multilevel Analysis of ICT Conditions in PISA 2022Technology Knowledge and Learning · Thu,
  9. Enhancing Assessment Through AI: Practical Strategies and ImplicationsTechnology Knowledge and Learning · Sat,
  10. Towards a Scenario-Based Framework for Developing Multiple Learning Analytics DashboardsTechnology Knowledge and Learning · Fri,

About Technology Knowledge and Learning

Technology Knowledge and Learning carries 473 indexed papers, 13,820 citations, h-index 57 in Synapse's enriched corpus. Each paper indexed here includes structured clinical evidence extraction (PICO), methodology classification with level of evidence, and links to related guideline recommendations where applicable.

On Synapse's credibility score (derived from SJR ranking and cross-citation patterns), Technology Knowledge and Learning sits among the highest-credibility cardiovascular journals.

The journal's official homepage is at https://link.springer.com/journal/10758.

Use the feed below to follow new Technology Knowledge and Learning publications with AI-enriched analysis — each paper is decomposed into study design, population, intervention, comparator, primary outcome, and key finding, with the underlying evidence traceable to the primary source.

Deterministic synthesis from Synapse's enriched records — 108 words.