International Journal of Continuing Engineering Education and Life-Long Learning

Scope & Guideline

Connecting Research and Practice in Engineering Education.

Introduction

Welcome to the International Journal of Continuing Engineering Education and Life-Long Learning information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of International Journal of Continuing Engineering Education and Life-Long Learning, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1560-4624
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Converge1986, 1988, from 1990 to 2024
AbbreviationINT J CONTIN ENG EDU / Int. J. Contin. Eng. Educ. Life-Long Learn.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Continuing Engineering Education and Life-Long Learning focuses on advancing the field of engineering education through innovative teaching practices and effective learning methodologies. It aims to provide insights into lifelong learning strategies, particularly in the context of engineering and technology disciplines.
  1. Online Education Evaluation:
    The journal emphasizes methods for evaluating online education, including mixed teaching approaches and the effectiveness of MOOCs (Massive Open Online Courses), using various statistical and machine learning techniques.
  2. Resource Optimization and Sharing:
    It explores the optimal allocation and sharing of educational resources, particularly in online settings, leveraging cloud computing, big data, and intelligent systems for improved access and efficiency.
  3. Teaching Methodologies and Innovations:
    The journal covers innovative teaching methodologies, including flipped classrooms, blended learning models, and personalized learning experiences, aimed at enhancing student engagement and learning outcomes.
  4. Data-Driven Learning Behavior Analysis:
    A core focus is on analyzing learning behaviors through data mining and machine learning, allowing for insights into student engagement and the effectiveness of teaching strategies.
  5. Technology Integration in Education:
    The journal discusses the integration of emerging technologies, such as AI, IoT, and virtual reality, into educational practices, promoting interactive and immersive learning experiences.
Recent publications in the journal reflect emerging trends that indicate a shift towards more innovative and data-driven approaches in engineering education. These trends highlight the evolving landscape of lifelong learning and the integration of technology in educational practices.
  1. Artificial Intelligence and Machine Learning in Education:
    There is a rising trend in the application of AI and machine learning techniques for personalizing learning experiences, evaluating teaching effectiveness, and analyzing student behavior.
  2. Big Data Analytics for Learning Insights:
    The use of big data analytics to derive insights from student learning behaviors and outcomes is gaining traction, with a focus on improving educational strategies and resource allocation.
  3. Hybrid and Blended Learning Models:
    A significant interest in hybrid learning models that combine online and face-to-face instruction is emerging, reflecting the need for flexible learning environments post-pandemic.
  4. Fuzzy Logic and Advanced Statistical Methods:
    The application of fuzzy logic and advanced statistical methods for evaluating educational quality and effectiveness is increasingly prevalent, providing nuanced insights into complex educational dynamics.
  5. Personalized Learning Approaches:
    There is a growing emphasis on personalized learning approaches that adapt to individual student needs, driven by advancements in technology and data analysis.

Declining or Waning

While the journal has experienced growth in various themes, certain areas of research appear to be waning in prominence. These themes, once significant, are now less frequently explored or have become overshadowed by emerging topics.
  1. Traditional Teaching Methods:
    There has been a noticeable decline in research focused on traditional, non-digital teaching methods, as the emphasis shifts towards more innovative, technology-driven approaches.
  2. Standardized Assessment Techniques:
    Research on standardized assessment methods is decreasing, possibly due to a growing recognition of the limitations of such methods in capturing the complexities of learning in contemporary education.
  3. General Educational Theory:
    Themes that broadly address educational theory without specific application to engineering or technology contexts are becoming less frequent, as the focus narrows to practical applications and technological integration.

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