IEEE Transactions on Learning Technologies

IEEE Transactions on Learning Technologies

IEEE T LEARN TECHNOL
影响因子:4.9
是否综述期刊:
是否预警:不在预警名单内
是否OA:
出版国家/地区:UNITED STATES
出版社:Institute of Electrical and Electronics Engineers Inc.
发刊时间:0
发刊频率:
收录数据库:SCIE/Scopus收录
ISSN:1939-1382

期刊介绍

The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; 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.
IEEE学习技术会刊涵盖了学习技术及其应用的所有进展,包括但不限于以下主题:创新的在线学习系统;聪明的家庭教师;教育游戏;教育和培训模拟系统;协作学习工具;使用移动的设备学习;用于学习的可穿戴设备和界面;个性化和自适应学习系统;形成性和终结性评估工具;学习分析和教育数据挖掘工具;用于学习系统的本体;支持学习的标准和网络服务;用于学习材料的创作工具;对同伴辅导的计算机支持;通过计算机中介的调查、现场和实验室工作进行学习;社会学习技巧;学习和知识分享的社会网络和基础设施;和管理学习对象。
年发文量 164
国人发稿量 61.02
国人发文占比 0.37%
自引率 -
平均录取率0
平均审稿周期 >12周,或约稿
版面费 US$2195
偏重研究方向 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
期刊官网 https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4620076
投稿链接 https://www.computer.org/web/tlt/author

期刊高被引文献

Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2868673
Prediction in MOOCs: A Review and Future Research Directions
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2856808
Adaptive Gamification for Learning Environments
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2823710
From Study Tactics to Learning Strategies: An Analytical Method for Extracting Interpretable Representations
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2823317
Systematic Review of Discussion Forums in Massive Open Online Courses (MOOCs)
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2859304
Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2793193
How Teachers Make Dashboard Information Actionable
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2851585
Using Machine Learning to Detect ‘Multiple-Account’ Cheating and Analyze the Influence of Student and Problem Features
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2017.2784420
Personalized Affective Feedback to Address Students’ Frustration in ITS
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2807447
An Early Feedback Prediction System for Learners At-Risk Within a First-Year Higher Education Course
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2912167
Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2911072
A Quest for a One-Size-Fits-All Neural Network: Early Prediction of Students at Risk in Online Courses
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2911068
From Lab to Production: Lessons Learnt and Real-Life Challenges of an Early Student-Dropout Prevention System
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2911608
Multiview Learning for Early Prognosis of Academic Performance: A Case Study
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2911581
Feature Extraction for Next-Term Prediction of Poor Student Performance
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2913358
Automatic Question Tagging with Deep Neural Networks
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2808187
Exploring Student Interactions With Preparation Activities in a Flipped Classroom Experience
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2858790
Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2911079
Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2912162
A Learning Analytics Methodology for Understanding Social Interactions in MOOCs
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2883419
MOOCs as a Remedial Complement: Students’ Adoption and Learning Outcomes
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2830373
A Social Network Simulation Game to Raise Awareness of Privacy Among School Children
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2881193
An Investigation of the Effects of Measuring Authentic Contexts on Geometry Learning Achievement
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2853750
Design and Evaluate Immersive Learning Experience for Massive Open Online Courses (MOOCs)
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2878700
Persuasive Technologies in m-Learning for Training Professionals: How to Keep Learners Engaged With Adaptive Triggering
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2840716
Reducing Cognitive Load During Closed Concept Map Construction and Consequences on Reading Comprehension and Retention
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2861744
Approaching Sustainability Learning Via Digital Serious Games
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2858770
When Does Collaboration Lead to Deeper Learning? Renewed Definitions of Collaboration for Engineering Students
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2836942
Collaborative Educational Environments Incorporating Mixed Reality Technologies: A Systematic Mapping Study
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2926727
How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2911832
Automatic Question Classifiers: A Systematic Review
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2878447
Automated Assessment of Complex Programming Tasks Using SIETTE
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2876249
Pedagogical Intervention Practices: Improving Learning Engagement Based on Early Prediction
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2911284
Predicting the Risk of Academic Dropout With Temporal Multi-Objective Optimization
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2019.2911070
A Multimodal Assessment Framework for Integrating Student Writing and Drawing in Elementary Science Learning
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2799871
SciChallenge: A Social Media Aware Platform for Contest-Based STEM Education and Motivation of Young Students
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2810879
Inquiry-Based Learning With RoboGen: An Open-Source Software and Hardware Platform for Robotics and Artificial Intelligence
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2833111
Implementing On-Call-Tutor System for Facilitating Peer-Help Activities
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2818139
The Evaluation of a Serious Game to Improve Cross-Cultural Competence
来源期刊:IEEE Transactions on Learning TechnologiesDOI:10.1109/TLT.2018.2865411

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
99.39%15.38%--

相关指数

影响因子
影响因子
年发文量
自引率
Cite Score

预警情况

查看说明
时间 预警情况
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
*来源:中科院《 国际期刊预警名单》

JCR分区

WOS分区等级:Q1区
版本 按学科 分区
WOS期刊SCI分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of Science)为每个学科内的期刊按照IF数值排 序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2024-2025年最新版)
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Q1

中科院分区

查看说明
版本 大类学科 小类学科 Top期刊 综述期刊
2025年3月最新升级版
教育学3区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
3区
EDUCATION & EDUCATIONAL RESEARCH 教育学和教育研究
3区
2023年12月升级版
教育学3区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
3区
EDUCATION & EDUCATIONAL RESEARCH 教育学和教育研究
4区
2022年12月旧的升级版
教育学2区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
3区
EDUCATION & EDUCATIONAL RESEARCH 教育学和教育研究
3区