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    "Technology, Knowledge and Learning"

    Subject:
    Computational Theory and Mathematics
    Publisher:
    Springer Netherlands — Springer Journals
    ISSN:
    2211-1662
    Scimago Journal Rank:
    25

    2026

    Volume OnlineFirst
    JulyJuneMayAprilMarchFebruaryJanuary
    Volume 31
    Issue 2 (Jun)Issue 1 (Mar)

    2025

    Volume OnlineFirst
    DecemberNovember
    October
    September
    August
    July
    June
    May
    April
    March
    Volume 30
    Issue 4 (Dec)Issue 3 (Sep)Issue 2 (Jun)Issue 1 (Mar)

    2024

    Volume OnlineFirst
    DecemberSeptember
    Volume 29
    Issue 4 (Dec)Issue 3 (Sep)Issue 2 (Jun)Issue 1 (Mar)

    2023

    Volume 28
    Issue 4 (Dec)Issue 3 (Sep)Issue 2 (Jun)Issue 1 (Mar)

    2022

    Volume 27
    Issue 4 (Dec)Issue 3 (Sep)Issue 2 (Jun)Issue 1 (Mar)

    2021

    Volume 26
    Issue 4 (Dec)Issue 2 (Feb)

    2020

    Volume OnlineFirst
    JulyMayAprilMarchMarchFebruaryJanuary
    Volume 26
    Issue 3 (Nov)Issue 2 (Nov)Issue 1 (May)
    Volume 25
    Issue 3 (Sep)Issue 2 (Jun)Issue 1 (Mar)

    2019

    Volume OnlineFirst
    SeptemberAugustJuneMayMayMarch
    Volume 26
    Issue 3 (Dec)Issue 1 (Dec)
    Volume 24
    Issue 4 (May)Issue 2 (May)

    2018

    Volume OnlineFirst
    NovemberJulyMarchJanuary
    Volume 24
    Issue 4 (Apr)Issue 2 (Jul)Issue 1 (May)
    Volume 23
    Issue 3 (Aug)Issue 2 (Apr)

    2017

    Volume OnlineFirst
    December
    Volume 24
    Issue 2 (Aug)Issue 1 (Jan)
    Volume 23
    Issue 2 (Jun)Issue 1 (Aug)
    Volume 22
    Issue 3 (Jul)Issue 2 (Feb)

    2016

    Volume 24
    Issue 1 (Nov)
    Volume 22
    Issue 2 (Dec)Issue 1 (Jun)
    Volume 21
    Issue 3 (Feb)Issue 2 (May)Issue 1 (Jan)

    2015

    Volume 23
    Issue 2 (Sep)Issue 1 (Nov)
    Volume 22
    Issue 1 (Dec)
    Volume 21
    Issue 3 (Apr)Issue 2 (Dec)Issue 1 (Nov)
    Volume 20
    Issue 3 (Mar)Issue 2 (May)

    2014

    Volume 20
    Issue 2 (Oct)Issue 1 (Nov)
    Volume 19
    Issue 3 (Jun)Issue 2 (Feb)

    2013

    Volume 19
    Issue 3 (Nov)
    Volume 18
    Issue 3 (Oct)Issue 2 (May)
    Volume 1
    Issue 3 (Nov)

    2012

    Volume 17
    Issue 3 (Dec)Issue 2 (Jul)
    Volume 16
    Issue 3 (Jan)

    2011

    Volume 16
    Issue 3 (Oct)Issue 2 (Oct)Issue 1 (Apr)
    Volume 15
    Issue 3 (Jan)

    2010

    Volume 15
    Issue 3 (Dec)Issue 2 (May)Issue 1 (Apr)

    2009

    Volume 15
    Issue 1 (Mar)
    Volume 14
    Issue 3 (Dec)Issue 2 (Oct)Issue 1 (Jan)

    2008

    Volume 13
    Issue 3 (Nov)Issue 2 (Jul)Issue 1 (Mar)

    2007

    Volume 13
    Issue 1 (Jul)
    Volume 12
    Issue 3 (Dec)Issue 2 (Jul)Issue 1 (Mar)
    Volume 11
    Issue 3 (Jan)

    2006

    Volume 11
    Issue 3 (Dec)Issue 2 (Sep)Issue 1 (Jun)

    2005

    Volume 10
    Issue 3 (Jun)Issue 2 (Apr)Issue 1 (Mar)

    2004

    Volume 10
    Issue 1 (Dec)
    Volume 9
    Issue 3 (Sep)Issue 2 (Dec)Issue 1 (Sep)
    Volume 8
    Issue 3 (Oct)Issue 2 (Oct)Issue 1 (Oct)
    Volume 7
    Issue 3 (Oct)Issue 2 (Oct)Issue 1 (Oct)
    Volume 6
    Issue 3 (Oct)Issue 2 (Oct)Issue 1 (Oct)
    Volume 5
    Issue 3 (Oct)Issue 2 (Oct)Issue 1 (Oct)
    Volume 4
    Issue 3 (Sep)Issue 1 (Sep)
    Volume 3
    Issue 3 (Oct)Issue 2 (Oct)Issue 1 (Oct)
    Volume 2
    Issue 3 (Sep)Issue 2 (Sep)Issue 1 (Sep)
    Volume 1
    Issue 2 (Oct)Issue 1 (Jul)
    journal article
    Open Access Collection
    Measuring Digital Transformation in Education 4.0 with DT-Smarty: Valid and Reliable Model

    González-Pérez, Laura-Icela; Enciso-González, Juan Antonio; Vicario-Solorzano, Claudia Marina; Ramírez-Montoya, María-Soledad

    2025 "Technology, Knowledge and Learning"

    doi: 10.1007/s10758-025-09844-8pmid: N/A

    Validated instruments enable strategic decision-making in an increasingly complex technological environment. Higher Education Institutions (HEIs) should have data measuring technological maturity and readiness for cyber-physical environments, crucial to leading digital transformation and sustainable development. This study presents the validation of an instrument designed to assess academicians' perceptions of the technological maturity and digital transformation readiness of HEIs. The scale dimensions were constructed and validated in three steps: (1) operationalization of the study variables and scale development, (2) content validation through a nine-expert judgment panel with Aiken's V, and (3) factor exploratory analysis (EFA) and reliability analysis using Cronbach's Alpha method. The validation yielded three main findings: Aiken’s V coefficient yielded a value of (> 0.82), indicating substantial agreement for the content evaluation of nine experts; reliability testing produced a Cronbach’s alpha of .957, demonstrating excellent internal consistency. The Kaiser–Meyer–Olkin (KMO) measure was .919, confirming the questionnaire's suitability for 19 items. Four critical dimensions were established: (1) Cyber-Physical Systems, (2) Educational platforms and data and analytics, (3) Organizational platforms, and (4) Continuity and security plans. These results validate the instrument as a robust tool for diagnosing digital maturity in university contexts, effectively capturing the proposed dimensions essential for educational innovation. The future work to evolve this instrument could shed light on the roadmap for incorporating technological enablers, aligning vocational training with the challenges of Industry 4.0, and supported by predictive AI models that allow the creation of solid governance to lead the digital evolution.
    journal article
    Open Access Collection
    Lessons Learned from Using Cyber Range to Teach Cybersecurity at Different Levels of Education

    Lazarov, Willi; Schafeitel-Tähtinen, Tiina; Squillace, Joseph; Martinasek, Zdenek; Coufalikova, Aneta; Helenius, Marko; Gallus, Petr; Fujdiak, Radek

    2025 Technology Knowledge and Learning

    doi: 10.1007/s10758-025-09840-ypmid: N/A

    In today’s modern society, it is difficult, nearly impossible, to work and study effectively without using the internet. With services moving into cyberspace and the ever-increasing number of users, new cyber threats are emerging with the potential to cause devastation to both organizations and individuals. For this reason, it is necessary to educate users regardless of their age, gender, and qualification. This paper addresses the challenges associated with the need for cybersecurity education and presents lessons learned from applying an interactive and gamified approach within a cyber range (CR), a controlled environment that enables the deployment of virtual machines and networks for research, training, and testing purposes. In our work, we utilized the CR platform to teach cybersecurity at the primary, secondary, and high school levels of education. Through a series of tests, different approaches, surveys, and feedback collected from students and teachers, we identified their perceptions and critical aspects of CR-based cybersecurity education. We found that gamification positively influences learning, with students emphasizing the fun aspect and teachers highlighting engagement and motivation. Both groups value interactivity for developing practical skills and reinforcing theoretical concepts. Although scoring encourages competition, some students find it stressful. Similarly, penalizing hints can motivate problem solving, but may also deter those needing assistance. These and other findings presented in this paper may be useful for building and further developing cyber ranges to improve the effectiveness of teaching, learning and training cybersecurity.
    journal article
    Open Access Collection
    Decoupling Learning from Time and Space. Towards the Implementation of the Ubiquitous Class Using Industry 4.0 Main Levers

    Fonseca i Casas, Pau

    2025 Technology Knowledge and Learning

    doi: 10.1007/s10758-025-09845-7pmid: N/A

    This paper introduces the concept of the ubiquitous class, a teaching approach that transcends the time and space constraints of the traditional classroom. In the context of Education 4.0, characterized by the digital transformation of teaching and learning processes, we examine the challenges and opportunities of implementing this approach. Our primary aim is to classify teaching methods based on their temporal and spatial dimensions and to explore how these classifications relate to the use of ubiquitous teaching. We propose that ubiquitous teaching is the optimal method for achieving the anytime/anywhere and personalized learning experience that Education 4.0 demands. We further explore how this classification can serve as a foundation for the digitalization of the classroom, leading to the creation of a Digital Twin of the learning process. By applying this concept to the learning process, we aim to create a more effective and efficient educational system that adapts to the needs and preferences of each learner. We delve into current technological trends such as the Digital Twin, Artificial Intelligence, and Virtual Reality, and explore how they can support the ubiquitous class. We present real examples of how these technologies can create immersive and interactive learning environments that transcend the physical boundaries of the classroom. Finally, we analyze the advantages and disadvantages of the ubiquitous class compared to the traditional class, as well as the implications for teachers, students, and educational institutions. We conclude that the ubiquitous class concept is not only relevant but also a key element in understanding and fostering the digital transformation of education, thereby facilitating the implementation of Education 4.0.

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