Impact Score 3.3
IEEE Transactions on Learning Technologies publishes scholarly articles describing novel vital contributions in the fields of Databases & Information Systems, General Computer Science, Machine Learning & Artificial intelligence and Web, Mobile & Multimedia Technologies. IEEE Transactions on Learning Technologies presents unique scholarly papers which go through peer review by experts in the field. The journal encourages submissions from the research community where attention will be on the innovativeness and the practical impact of the reported work.
IEEE Transactions on Learning Technologies is listed in a wide range of abstracting and indexing databases such as Scopus, Web of Science and Guide2Research. A significant number of leading scientists have published their research contributions at this Journal including Peter Brusilovsky, Dragan Gasevic, Mike Sharples and Jordi Cortadella.
For more information on the instructions and submission provisions for authors, it is recommended to consult the journal website for IEEE Transactions on Learning Technologies at https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=4620076 .
IEEE Transactions on Learning Technologies