Overview
Technology, Knowledge and Learning emphasizes the increased interest in context-aware adaptive and personalized digital learning environments.
- Submissions can be empirical investigations, systematic reviews or meta-analyses, work-in-progress studies, or emerging technology reports.
- The journal supports global perspectives with significant scientific contributions to educational technology.
- Technology, Knowledge and Learning also publishes guest-edited themed special issues linked to the emerging field of educational technology.
This is a transformative journal, you may have access to funding.
- Editor-in-Chief
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- Dirk Ifenthaler
- Impact factor
- 3.3 (2022)
- 5 year impact factor
- 3.5 (2022)
- Submission to first decision (median)
- 32 days
- Downloads
- 391,668 (2023)
Latest articles
Journal updates
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Submission Types
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Call for Papers - Metacognition and self-directed learning: Skills for self-assessment in technology-based learning
The scope of the special issue is to bring together theoretical models and empirical research about metacognitive skills and self-directed learning skills necessary for successful self-assessment in technology-based learning. Important related topics are adaptive learning, learning analytics, artificial intelligence and feedback design.
Journal information
- Electronic ISSN
- 2211-1670
- Print ISSN
- 2211-1662
- Abstracted and indexed in
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- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- ERIC
- Emerging Sources Citation Index
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- PsycINFO
- Psyndex
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information