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Smart Learning Environments : Impact Factor & More

eISSN: 2196-7091pISSN: 2196-7091
JournalOpen Access

Aims and Scope of Smart Learning Environments

Smart Learning Environments seeks academic articles on the issues related to the reform of the ways of teaching and learning through advancing current learning environments towards smart learning environments. It provides opportunities for discussions and constructive dialogue among various stakeholders on the limitations of existing learning environments, need for reform, innovative uses of emerging pedagogical approaches and technologies, and sharing and promotion of best practices, leading to the evolution, design and implementation of smart learning environments. The aim of the journal is to help various stakeholders of smart learning environments better understand each other's role in the overall process of education and how they may support each other. Less

Key Metrics

CiteScore
3.7
SJR
Q3Education
SNIP
2.57
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Topics Covered on Smart Learning Environments

Smart Learning Environments Journal Specifications

Indexed in the following public directories

  • Web of Science Web of Science
  • Scopus Scopus
  • DOAJ DOAJ
  • Inspec Inspec
  • SJR SJR
Overview
Publisher SPRINGER HEIDELBERG
Language English
Frequency Irregular
Publication Time19
Editorial Review ProcessDouble anonymous peer review
General Details
LanguageEnglish
Society/Institute/SponsorInternational Association of Smart Learning Environments
FrequencyIrregular
Publication Start Year2014
Publisher URLVisit website
Website URLVisit website
Publication Details
Other chargesVisit website
PlagiarismVisit website
Publication Time 19
Editorial Review Detail
Editorial TeamVisit website
Review ProcessDouble anonymous peer review
Review UrlVisit website
Information for authors
Author instructionsVisit website
Copyright DetailsVisit website
Deposit PolicySherpa/Romeo
License typeCC BY
OA statementVisit website
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Recently Published Papers in Smart Learning Environments

Predicting Data Science Programming Performance: Using Fair ML to detect Bias
  • 20 Apr 2026
  • Smart Learning Environments
Lowering novice programming barriers with Medialib: studies of its effectiveness and transferability
  • 25 Mar 2026
  • Smart Learning Environments
Through the looking glass: a synthesis of systematic reviews and meta-analyses on pedagogy paradigms facilitated by large language models
  • 23 Mar 2026
  • Smart Learning Environments
Individual and group competitive digital gamification in ESL adult classrooms: a systematic review of effects on vocabulary retention, motivation, and engagement
  • 18 Mar 2026
  • Smart Learning Environments
Redefining personalized learning in the artificial intelligence era: an updated systematic review from 2019 to 2025
  • 27 Feb 2026
  • Smart Learning Environments
RECMOOC4ALL: an AI-driven recommender system for personalized and accessible MOOC recommendations
  • 26 Feb 2026
  • Smart Learning Environments
Predicting Data Science Programming Performance: Using Fair ML to detect Bias
  • 20 Apr 2026
  • Smart Learning Environments
Lowering novice programming barriers with Medialib: studies of its effectiveness and transferability
  • 25 Mar 2026
  • Smart Learning Environments
Through the looking glass: a synthesis of systematic reviews and meta-analyses on pedagogy paradigms facilitated by large language models
  • 23 Mar 2026
  • Smart Learning Environments
Individual and group competitive digital gamification in ESL adult classrooms: a systematic review of effects on vocabulary retention, motivation, and engagement
  • 18 Mar 2026
  • Smart Learning Environments
Redefining personalized learning in the artificial intelligence era: an updated systematic review from 2019 to 2025
  • 27 Feb 2026
  • Smart Learning Environments
RECMOOC4ALL: an AI-driven recommender system for personalized and accessible MOOC recommendations
  • 26 Feb 2026
  • Smart Learning Environments

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