Technology, Knowledge and Learning

Aims & Scope

Technology, Knowledge and Learning emphasizes the increased interest on context-aware adaptive and personalized digital learning environments.

Rapid technological developments have led to new research challenges focusing on digital learning, gamification, automated assessment and learning analytics.

These emerging systems aim to provide learning experiences delivered via online environments as well as mobile devices and tailored to the educational needs, the personal characteristics and the particular circumstances of the individual learner or a (massive) group of interconnected learners.

Such diverse learning experiences in real-world and virtual situations generates big data which provides rich potential for in-depth intelligent analysis and adaptive feedback as well as scaffolds whenever the learner needs it.

Novel manuscripts are welcome that account for how these new technologies and systems reconfigure learning experiences, assessment methodologies as well as future educational practices.

Technology, Knowledge and Learning also publishes guest-edited themed special issues linked to the emerging field of educational technology.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.5
2024	3.00

SJR (SCImago Journal Rank)

Year	Value
2024	1.210

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	45

Journal Rank

Year	Value
2024	3510

Journal Citation Indicator

Year	Value
2024	1460

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering, Mathematics and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Gamification Applications in E-learning: A Literature Review

  Citation: 283

  Authors: Awaz Naaman, Narmin Mohammed, Fezile

• Educational Data Mining and Learning Analytics: Applications to Constructionist Research

  Citation: 192

  Authors: Matthew, Ryan S., Paulo

• Literature Review on the Factors Affecting Primary Teachers’ Use of Digital Technology

  Citation: 188

  Authors: Marthese, Shu-Nu

• Blended Learning Adoption and Implementation in Higher Education: A Theoretical and Systematic Review

  Citation: 155

  Authors: Bokolo, Adzhar, Awanis, Anis Farihan Mat, Danakorn Nincarean A. L. Eh, Aziman, Gan Leong

• Factors Affecting Students’ Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques

  Citation: 155

  Authors: Amjed, Mostafa, Khaled

• Development and Validation of a Learning Analytics Framework: Two Case Studies Using Support Vector Machines

  Citation: 152

  Authors: Dirk, Chathuranga

• Covid-19 and Crisis-Prompted Distance Education in Sweden

  Citation: 149

  Authors: Nina, Jalal

• Video-Based Learning (VBL)—Past, Present and Future: an Overview of the Research Published from 2008 to 2019

  Citation: 136

  Authors: Marija, Ana, Alma

• Effectiveness of VR Head Mounted Displays in Professional Training: A Systematic Review

  Citation: 117

  Authors: Sathiya kumar, Steven C., Salman

• Give Me a Customizable Dashboard: Personalized Learning Analytics Dashboards in Higher Education

  Citation: 111

  Authors: Lynne D., Joel A., Kristen

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