期刊档案
Elearning and Education
ISSN 1860-7470 · FernUniversität Hagen · Germany
Elearning and Education 钻石开放获取(无 APC),免版面费,投稿社区反馈审稿约 4 周。
研究范围
研究范围与定位
Elearning and Education 由 FernUniversität Hagen 出版。按 OpenAlex 近年发文统计,该刊主要发表 Education Methods and Technologies、Sociology and Education Studies、Online and Blended Learning 等主题的论文,这 3 个主题约占 44.1%。(根据 OpenAlex 主题统计与中科院分区数据生成)
Summary Generative AI, dashboards, generation of feedback, and virtual reality are current drivers of innovation in technology enhanced learning. This issue presents new research results in these areas, augmented by a project report on teacher training for digital teaching and learning, and two dissertations on micro-learnings and course recommenders for students at risk. Zusammenfassung Generative KI, Dashboards, Generierung von Feedback, und virtuelle Realität sind aktuelle Treiber für Innovation im Technologie-gestützten Lernen. Diese Ausgabe präsentiert neue Forschungsergebnisse in diesen Bereichen, und ergänzt diese um einen Projektbericht über die Lehrerweiterbildung zum digitalen Lehren und Lernen sowie um zwei Dissertationen zu Micro-Learning und Kurs-Empfehlungssystemen für Studierende mit erhöhtem Abbruchrisiko. Editorial This issue presents new research results on different aspects of supporting teachers and learners in e-learning settings. While the first three articles discuss the provision of dashboards, feedback and ChatGPT, the other two focus on virtual and augmented reality settings. The project report in this issue provides insights in the design of a training program for school teachers regarding digital teaching and learning. Two newly published books dealing with the didactical meaningful use of digital media in primary school and the significance of social media for social learning and participation are described. Finally, two dissertations on micro-learning and personalized course recommendations are introduced. Imke A. M. Meyer presents in her article the evaluation of a dashboard supporting teachers in literacy courses by allowing interactive analysis of competence-oriented data sets. The results show a design dilemma between reducing complexity and provision of detailed information, the importance of domain-specific knowledge for correct interpretation of data, and the need for addressing socio-cultural aspects of the user community. Maurice Herwig, Norbert Hundeshagen and Martin Lange present the extension of a tool supporting the acquisition of discrete modelling competencies using propositional logic with generic capabilities to generate problem-specific feedback for students. Such feedback enables students to visualize the result of their modelling attempts, and helps students in iterative refinement. „Andreas Scholl, Daniel Schiffner and Natalie Kiesler present the results of an analysis of ChatGPT chat protocols of students of an Introductory Programming class. They analyzed prompts, frequencies, the chats’ progress, contents, other use patterns, and a survey addressing aspects of ChatGPT use. Results show that students use a wide variety of usage patterns, and emphasize the need for instruction on how to use tools effectively for learning, and how to acknowledge the tools’ limitations and potential pitfalls. David Mack and Ludger Schmidt focus on support for a complex assembly task through augmented reality instructions with see-through data glasses. They compare a new AR instruction with see-through data glasses, enabling hands-free interaction, with smartphone-based AR instructions and (traditional) paper instructions. While the total assembly time between the see-through data glasses and the smartphone were similar, a comparable number of errors with lower strain for see-through glasses makes them attractive for knowledge transfer. Frank Wehrmann and Raphael Zender present a systematic review of nonverbal communication in Virtual Reality Environments highlighting the transformative potential of nonverbal communication in VR to approximate face-to-face interaction, promote diversity, and scaffold inclusive education. They synthesize design inclusion guidelines from the review, and also identify a considerable gap in research on the role of nonverbal communication in multi-user virtual reality environments for learning. Project Reports Edith Kotitschke and Jörg Stifter describe the design of
摘自期刊官网 Aims & Scope
主要研究主题 OpenAlex 近年发文统计,占比为近似值
- Education Methods and TechnologiesSocial Sciences23.5%
- Sociology and Education StudiesSocial Sciences11%
- Online and Blended LearningSocial Sciences9.7%
- Innovative Teaching and Learning MethodsPsychology7.6%
- Open Education and E-LearningComputer Science7.6%
- Linguistic Education and PedagogyArts and Humanities5.5%
- Online Learning and AnalyticsComputer Science4.1%
- Semantic Web and OntologiesComputer Science3.5%
分区与收录
学科分区与数据库收录
中科院期刊分区表
期刊分区表( 2025年3月升级版)未收录
该期刊未被此版本分区表收录。
《新锐期刊分区表》( 2026年3月发布)未收录
该期刊未被此版本分区表收录。
期刊分区表( 2023年12月旧的升级版)未收录
该期刊未被此版本分区表收录。
数据库收录
DOAJLetPub
国际期刊预警名单:各版本均未列入LetPub
不同版本、大类与小类分别展示,不将不同评价口径合并为一个分区值;投稿与考核前请确认所在机构采用的版本。
指标
影响力指标与发文规模
影响力指标
- h-index
- 10OpenAlex ·
- i10-index
- 10OpenAlex ·
- 两年平均被引
- 0OpenAlex ·
- Gold OA 文章占比
- 0%LetPub ·
逐年发文量 OpenAlex 统计 · 累计 91 篇 · 当年数据不完整
| 年份 | 发文量 | 其中 OA | 被引 |
|---|---|---|---|
| 2021 | 4 | 4 | 0 |
不同来源的统计口径与观测时间不同,页面保留各来源原值;“出版商公布”为期刊官网自述数据。
审稿与录用
审稿周期与录用情况
- 平均审稿速度(社区反馈)
- 4 WeeksLetPub ·
- 投稿到发表(期刊自报)
- 约 4 周DOAJ ·
- 评审方式
- 双盲同行评审DOAJ
社区反馈来自投稿者样本,置信度 0.5,不代表期刊承诺;“出版商公布”的时间节点定义以官网为准。
费用与开放获取
版面费与开放获取政策
所有文章开放获取,且不向作者收取文章处理费。
| 来源 | 文章处理费 | 费用减免 | 许可证 | 观测时间 |
|---|---|---|---|---|
| DOAJ | 无文章处理费 | 无 | Publisher's own license | |
| LetPub | 无文章处理费 | 无 | — |
- APC 费用说明 ↗DOAJ
- 开放获取声明 ↗DOAJ
- 许可与版权 ↗DOAJ
费用以期刊官网为准;不同来源的观测时间可能不同,页面保留各来源原值,不做平均。
投稿要求
文章类型与投稿政策(官网)
投稿准备要点2 项,摘自作者指南
- 摘要
- 100–300 词
- 正文篇幅
- ≤ 5,000 词
摘录来自期刊官网页面,仅保留原文片段;“模型摘要”由 Workers AI 生成并经原文校验,以官网为准。
基本信息
出版信息与官方入口
- 出版商
- FernUniversität Hagen
- 出版国家或地区
- Germany
- 出版语言
- English, German
- ISSN
- 1860-7470
- 官方链接
- 期刊主页 ↗DOAJ
- 作者指南 ↗DOAJ
- Aims & Scope ↗LetPub
- APC 费用说明 ↗DOAJ
- 开放获取声明 ↗DOAJ
- 许可与版权 ↗DOAJ
- 评审流程 ↗DOAJ
- 编委会 ↗DOAJ
常见问题
关于 Elearning and Education 的常见问题
Elearning and Education 的审稿周期多长?
投稿社区反馈的平均审稿速度为约 4 周。文章统计只含被录用的稿件,出版商数据口径以官网为准,社区反馈来自投稿者样本,均不代表期刊承诺。
Elearning and Education 的投稿格式要求是什么?
据期刊作者指南:摘要:100–300 词;正文篇幅:≤ 5,000 词。以上由模型从作者指南提取并逐项与原文核对,投稿前请以官网最新版本为准。
Elearning and Education 被哪些数据库收录?
据 LetPub 与 DOAJ 记录,Elearning and Education 被 DOAJ 收录。
Elearning and Education 是开放获取期刊吗?版面费多少?
Elearning and Education 为钻石开放获取(无 APC)。不收取文章处理费。
来源与更新
本页事实来自 LetPub、OpenAlex、DOAJ、出版商官网;每个数字旁标注来源与观测日期,冲突数据保留各来源原值。LetPub 原始详情页:查看 ↗(2026-08-26 归档)。最近更新:。