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ICER 2026: International Conference on Computing Education Research

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ICER
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截稿日期:
2026-02-20
通知日期:
2026-04-17
会议日期:
2026-08-11
会议地点:
Uppsala, Sweden
届数:
22
ICORE: A   QUALIS: B4   浏览: 24608   关注: 3   参加: 2

会伴指数 (CP-I)

67.6 / 100
全站第 378 名 / 共 5,682 个会议 · 前 7%

教育与教育技术 第 3 / 139

学术认可 (35%)
88
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
84
社区关注 (10%)
24
资料公开度 (15%)
50

用到的输入: 收录等级：ICORE A, QUALIS B4 · 有据可查的届次：22 · 在会伴关注它的研究者：3 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-16

征稿

ICER 2026 (International Conference on Computing Education Research) is a ICORE A / QUALIS B4 conference held in Uppsala, Sweden on 2026-08-11. The paper submission deadline is 2026-02-20. Acceptance notifications are sent on 2026-04-17.

Aims and Scope The 22nd annual ACM Conference on International Computing Education Research (ICER) aims to gather high-quality contributions to the Computing Education Research discipline. The “Research Papers” track invites submissions describing original research results related to any aspect of teaching and learning computing, from introductory through advanced material. Submissions are welcome from across the research methods used in Computing Education Research and related fields. Each contribution will be assessed based on: the appropriateness and soundness of its methods its relevance to teaching or learning computing, the depth of its contribution to the community’s understanding of the question at hand. Research areas of particular interest include: design-based research, learner-centered design, and evaluation of educational technology supporting computing knowledge or skills development, discipline based education research (DBER) about computing, computer science, and related disciplines, informal learning experiences related to programming and software development (all ages), ranging from after-school programs for children, to end-user development communities, to workplace training of computing professionals, learnability of programming languages and tools for learning programming and computing concepts, learning analytics and educational data mining in computing education contexts, learning sciences work in the computing content domain, measurement instrument development and validation (e.g., concept inventories, attitudes scales, etc) for use in computing disciplines, pedagogical environments fostering computational thinking, psychology of programming, rigorous replication of empirical work, relevant to computing education, to compare with or extend previous empirical research results, professional development for computing educators at all levels. Full submission instructions will be made available soon.
由 Dou Sun 最后更新于

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