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CSEE 2026, fully titled the 7th International Conference on Computer Science, Engineering, and Education, is an international academic conference focused on the intersection of computer science, engineering, and education. It is scheduled to take place in Barcelona, Spain, from September 16–18, 2026, and is sponsored by the University of Barcelona, Spain. It is worth noting that this is not a course or training program in the traditional sense, but a conference-based platform centered on paper submissions, academic presentations, keynote speeches, and research exchange.
The conference covers a broad range of topics, including artificial intelligence and machine learning, software engineering, computer networks, human-computer interaction, educational technology and online learning, computer vision, graphics, data science, and big data analytics. There are two submission types: abstract submissions for presentation only, and full paper submissions for both presentation and publication. Full papers must be at least 5 pages, with extra page fees charged for papers exceeding 6 pages. The official language is English, and both paper writing and on-site presentations must be conducted in English.
The main text does not disclose specific registration fees or the amount charged for extra pages, which is an important gap for decision-making. Its publication process is relatively clear: submissions will undergo peer review, and accepted papers will be included in the CSEE 2026 conference proceedings after registration and presentation. They will then be submitted to IEEE Xplore and may be indexed by Ei Compendex and Scopus. The phrase “possible indexing” means indexing is not guaranteed, and authors should not interpret it as assured inclusion.
The strengths of the conference are its broad thematic scope, making it suitable for interdisciplinary research in computing and education, as well as its keynote speeches, technical presentations, and academic networking opportunities. The submission process, key dates, language requirements, and basic page-count rules are also fairly clear. The drawbacks are the lack of fee information and the absence of specific details in the main text about keynote speakers, the program committee, or technical sponsors. In addition, it is not a structured teaching course, so the learning value depends largely on participants’ own research background and ability to engage in academic exchange.
It is best suited for university faculty, master’s and doctoral students, researchers, and those looking to publish English-language conference papers, present research findings, or expand international collaboration. If your goal is to systematically learn programming, AI, or educational technology through coursework, CSEE is not the most direct option.
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