Discipline | Educational Technology |
---|---|
Language | English |
Edited by | Minjuan Wang |
Publication details | |
History | 2008–present |
Publisher | IEEE Education Society |
Frequency | Bi-monthly |
3.72 (2020) | |
Standard abbreviations | |
ISO 4 | IEEE Trans. Learn. Technol. |
Indexing | |
ISSN | 1939-1382 |
OCLC no. | 1197686704 |
Links | |
The IEEE Transactions on Learning Technologies (TLT) is a peer-reviewed scientific journal covering advances in the development of technologies for supporting human learning. It was established in 2008 and is published by the IEEE Education Society. [1] The current editor-in-chief (since 2022) is Minjuan Wang of San Diego State University. Formerly, the journal was edited by Mark J.W. Lee of the Charles Sturt University (2019-2022), Wolfgang Nejdl of the University of Hannover (2008–2012), and by Peter Brusilovsky of the University of Pittsburgh (2013–2018).
TLT was published on a quarterly basis until the end of 2020, after which it switched to a bi-monthly publication frequency. As per its statement of scope, [2] the journal covers all advances in learning technologies and their applications, [3] including but not limited to the following topics: innovative online learning systems; intelligent tutoring systems; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
According to the Journal Citation Reports , TLT has a 2021 impact factor of 4.433 (Web of Science, 2022) and a 5-year impact factor of 4.255. [4] It is one of only two educational technology journals that is included in both the Science Citation Index Expanded and the Social Sciences Citation Index, the other being Computers & Education (published by Elsevier). [5] Its 2022 Scopus CiteScore is 7.5 (https://www.scopus.com/sourceid/19700167026), giving it a rank of #25 out of 1,319 journals in the "Education" category. [6] TLT is also ranked among the top 20 journals in educational technology in Google Scholar. [7]
An intelligent tutoring system (ITS) is a computer system that imitates human tutors and aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher. ITSs have the common goal of enabling learning in a meaningful and effective manner by using a variety of computing technologies. There are many examples of ITSs being used in both formal education and professional settings in which they have demonstrated their capabilities and limitations. There is a close relationship between intelligent tutoring, cognitive learning theories and design; and there is ongoing research to improve the effectiveness of ITS. An ITS typically aims to replicate the demonstrated benefits of one-to-one, personalized tutoring, in contexts where students would otherwise have access to one-to-many instruction from a single teacher, or no teacher at all. ITSs are often designed with the goal of providing access to high quality education to each and every student.
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The Web of Science is a paid-access platform that provides access to multiple databases that provide reference and citation data from academic journals, conference proceedings, and other documents in various academic disciplines.
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Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings. At a high level, the field seeks to develop and improve methods for exploring this data, which often has multiple levels of meaningful hierarchy, in order to discover new insights about how people learn in the context of such settings. In doing so, EDM has contributed to theories of learning investigated by researchers in educational psychology and the learning sciences. The field is closely tied to that of learning analytics, and the two have been compared and contrasted.
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SLAS Discovery is a peer-reviewed scientific journal published by the Society for Laboratory Automation and Screening (SLAS) in partnership with SAGE Publications. The editor-in-chief is Robert M. Campbell, Ph.D.. The journal explores how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease. This includes scientific and technical advances in target identification/validation; biomarker discovery; assay development; virtual, medium- or high-throughput screening; lead generation/optimization; chemical biology; and informatics. The journal was published from 1996 through 2016 with the title Journal of Biomolecular Screening. Its name changed in 2017 to more accurately reflect the evolution of its editorial scope.[1]
Erik Duval was a Belgian computer scientist. Duval chaired the informatics section of the computer science department of the Katholieke Universiteit Leuven, where he also chaired the research unit on human-computer interaction. His research tried to augment the human intellect.
The International Journal on Semantic Web and Information Systems (IJSWIS) is a quarterly peer-reviewed academic journal covering the semantic web and information systems. It was established in 2005 and is published by IGI Global. The editor-in-chief is Brij B. Gupta, Who is a professor at Asia University, Taiwan, and Director of the International Center for AI and Cyber Security Research and Innovations. Brij B. Gupta is also serving as Member-in-Large, Board of Governors, IEEE Consumer Technology Society (2022–2024) and also included in the list of 2022 Highly Cited Researchers in Computer Science by Clarivate.
IEEE Transactions on Medical Imaging is a monthly peer-reviewed scientific journal published by the Institute of Electrical and Electronics Engineers (IEEE). It covers technological aspects of medical imaging techniques. The journal was established in 1982 and since 2019 the editor-in-chief is Leslie Ying. It is sponsored by four IEEE societies, IEEE Engineering in Medicine and Biology Society, IEEE Signal Processing Society, IEEE Nuclear and Plasma Sciences Society, and IEEE Ultrasonics, Ferroelectrics & Frequency Control Society.
Nature Astronomy is a peer reviewed scientific journal published by Nature Portfolio. It was first published in January 2017, although the first content appeared online in December 2016. The editor-in-chief is May Chiao, who is a full-time professional editor employed by the journal. The founding editors of this journal, in addition to May Chiao, were Paul Woods, Luca Maltagliati and Marios Karouzos.
Learning Engineering is the systematic application of evidence-based principles and methods from educational technology and the learning sciences to create engaging and effective learning experiences, support the difficulties and challenges of learners as they learn, and come to better understand learners and learning. It emphasizes the use of a human-centered design approach in conjunction with analyses of rich data sets to iteratively develop and improve those designs to address specific learning needs, opportunities, and problems, often with the help of technology. Working with subject-matter and other experts, the Learning Engineer deftly combines knowledge, tools, and techniques from a variety of technical, pedagogical, empirical, and design-based disciplines to create effective and engaging learning experiences and environments and to evaluate the resulting outcomes. While doing so, the Learning Engineer strives to generate processes and theories that afford generalization of best practices, along with new tools and infrastructures that empower others to create their own learning designs based on those best practices.
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