Skip to main content


Technology, Knowledge and Learning

Technology, Knowledge and Learning OnlineFirst articles

12.04.2018 | Original research

Computer Programming Effects in Elementary: Perceptions and Career Aspirations in STEM

The development of elementary-aged students’ STEM and computer science (CS) literacy is critical in this evolving technological landscape, thus, promoting success for college, career, and STEM/CS professional paths. Research has suggested that …

06.04.2018 | Original research Open Access

Students Multimodal Literacy and Design of Learning During Self-Studies in Higher Education

Information and communication technologies have increasingly been integrated in our everyday lives, and as many would say changed how we acquire knowledge and how we learn. It is against such a background this paper will describe how higher …

04.04.2018 | Original research

Coding to Create: A Subtext of Decisions as Early Adolescents Design Digital Media

Full participation in the twenty-first century requires the skills, strategies, and dispositions necessary to adapt to changing technologies influencing all aspects of life. Online programming communities provide a space for youth to create …

02.04.2018 | Original research

Teacher Training in Educational Robotics: The ROBOESL Project Paradigm

This paper presents the training curriculum for teachers developed in the context of the ERASMUS+ project, ROBOESL (2015–2017). The paper focuses on the robotics-based learning methodologies inspired by constructivism and project-based learning …

29.03.2018 | Original research

Predicting High School Teacher Use of Technology: Pedagogical Beliefs, Technological Beliefs and Attitudes, and Teacher Training

The current study aims to explore predictors that independently contribute to high school teacher use of technology in general and for different teaching purposes (student-centered and traditional). High school teachers (N = 928) responded to a …

Aktuelle Ausgaben

Über diese Zeitschrift

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.

Submissions can be empirical investigations, work in progress studies or emerging technology reports. Empirical investigations report quantitative or qualitative research demonstrating advances in digital learning, gamification, automated assessment or learning analytics. Work-in-progress studies provide early insights into leading projects or document progressions of excellent research within the field of digital learning, gamification, automated assessment or learning analytics. Emerging technology reports review new developments in educational technology by assessing the potentials for leading digital learning environments.

Manuscripts submitted to Technology, Knowledge and Learning undergo a blind review process involving expert reviews and in-depth evaluations. Initial feedback is usually provided within eight weeks including in progress open-access abstracts and review snapshots.  

Weitere Informationen

Premium Partner

in-adhesivesMKVSNeuer Inhalt

BranchenIndex Online

Die B2B-Firmensuche für Industrie und Wirtschaft: Kostenfrei in Firmenprofilen nach Lieferanten, Herstellern, Dienstleistern und Händlern recherchieren.



Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie

Maschinelles Lernen ist die Schlüsseltechnologie für intelligente Systeme. Besonders erfolgreich ist in den letzten Jahren das Lernen tiefer Modelle aus großen Datenmengen – „Deep Learning“. Mit dem Internet der Dinge rollt die nächste, noch größere Datenwelle auf uns zu. Hier bietet die Künstliche Intelligenz besondere Chancen für die deutsche Industrie, wenn sie schnell genug in die Digitalisierung einsteigt.
Jetzt gratis downloaden!


Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.