International Journal of Learning Technology

Aims & Scope

IJLT is an international, refereed, scholarly journal providing an interdisciplinary forum for the presentation and discussion of important ideas, concepts, and exemplars that can deeply influence the role of learning technologies in learning and instruction.

This unique and dynamic journal focuses on the epistemological thrust of learning vis-à-vis instruction and the technologies and tools that support the process.

IJLT publishes papers related to theoretical foundations, design and implementation, and effectiveness and impact issues related to learning technologies.

Topics covered include: -Communities of learners (practice), computer-mediated communication -[Social] constructivism, computer-supported collaborative learning -Cognitive tools, intelligent agents, semantic web -Distributed/intelligent learning/tutoring, multimedia/interactive learning environments -Virtual reality environments, human-computer interface issues -Learning objects for personalised learning, building learning communities -Technology-facilitated learning in complex domains -Learning technology systems' evaluation, technological standardisation -Simulation-supported learning/instruction -Learning technology in education and commerce -Disciplinary-related inquiry, e.g., learning technologies for science inquiry -MOOCs, social media and cloud computing in e-learning -Data analytics and big data in education -E-learning evaluation and content; e-portfolios -Smart education; internet of things/technology adoption and diffusion for learning

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	22419

Journal Citation Indicator

Year	Value
2024	48

SJR (SCImago Journal Rank)

Year	Value
2024	0.181

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	16

Impact Factor

Year	Value
2024	0.40

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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 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.

• Affect-aware tutors: recognising and responding to student affect

  Citation: 270

  Authors: Beverly, Winslow, Ivon, Toby, David, Rosalind

• Personal recommender systems for learners in lifelong learning networks: the requirements, techniques and model

  Citation: 144

  Authors: Hendrik, Hans G.K., Rob

• Deep-play: developing TPACK for 21st century teachers

  Citation: 109

  Authors: Matthew J., Punya, Emily C., Michael, Kristen, Tae Seob, Leigh Graves

• The Web 2.0 way of learning with technologies

  Citation: 93

  Authors: Herwig, Mathias, Markus, Gisela, Klaus

• simSchool: an online dynamic simulator for enhancing teacher preparation

  Citation: 77

  Authors: Rhonda, Gerald, Tandra Tyler, David

• Multimethod assessment of affective experience and expression during deep learning

  Citation: 76

  Authors: Sidney K., Scotty D., Art C.

• Towards a task model for mobile learning: a dialectical approach

  Citation: 66

  Authors: Josie, Mike, Claire, Giasemi, Jenny

• Patterns, designs and activities: unifying descriptions of learning structures

  Citation: 64

  Authors: Patrick, Peter, James

• How do you know they are learning? The importance of alignment in higher education

  Citation: 61

  Authors: Thomas C.

• Computer supported ubiquitous learning environment for vocabulary learning

  Citation: 48

  Authors: Hiroaki, Chengiu, Moushir M. El, Yoneo

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