Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020
出版年份 2022 全文链接
标题
Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020
作者
关键词
-
出版物
Education and Information Technologies
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-02-26
DOI
10.1007/s10639-022-10925-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review
- (2021) Gwo-Jen Hwang et al. Mathematics
- A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
- (2021) Xuesong Zhai et al. COMPLEXITY
- Effects and acceptance of precision education in an AI-supported smart learning environment
- (2021) Yung-Hsiang Hu Education and Information Technologies
- A systematic review of AI role in the educational system based on a proposed conceptual framework
- (2021) Weiqi Xu et al. Education and Information Technologies
- Identity‐ based motivation: Connections between first‐year students' engineering role identities and future‐time perspectives
- (2020) Allison Godwin et al. JOURNAL OF ENGINEERING EDUCATION
- E-learning based on the adaptive learning model: case study in Serbia
- (2020) Branka Arsovic et al. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
- MapOnLearn: The Use of Maps in Online Learning Systems for Education Sustainability
- (2020) Sannyuya Liu et al. Sustainability
- A review of automated feedback systems for learners: Classification framework, challenges and opportunities
- (2020) Galina Deeva et al. COMPUTERS & EDUCATION
- An Early Feedback Prediction System for Learners At-Risk Within a First-Year Higher Education Course
- (2019) David Baneres et al. IEEE Transactions on Learning Technologies
- Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017
- (2019) Haoran Xie et al. COMPUTERS & EDUCATION
- Automatic detection of inconsistencies between numerical scores and textual feedback in peer-assessment processes with machine learning
- (2019) Juan Ramón Rico-Juan et al. COMPUTERS & EDUCATION
- What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach
- (2019) Khe Foon Hew et al. COMPUTERS & EDUCATION
- An overview and comparison of supervised data mining techniques for student exam performance prediction
- (2019) Nikola Tomasevic et al. COMPUTERS & EDUCATION
- Review of ontology-based recommender systems in e-learning
- (2019) Gina George et al. COMPUTERS & EDUCATION
- Systematic Literature Review of Predictive Analysis Tools in Higher Education
- (2019) Martín Liz-Domínguez et al. Applied Sciences-Basel
- Analysing the predictive power for anticipating assignment grades in a massive open online course
- (2018) Pedro Manuel Moreno-Marcos et al. BEHAVIOUR & INFORMATION TECHNOLOGY
- Data mining for modeling students’ performance: A tutoring action plan to prevent academic dropout
- (2018) Concepción Burgos et al. COMPUTERS & ELECTRICAL ENGINEERING
- Prediction in MOOCs: A review and future research directions
- (2018) Pedro Manuel Moreno-Marcos et al. IEEE Transactions on Learning Technologies
- Predicting academic performance by considering student heterogeneity
- (2018) Sumyea Helal et al. KNOWLEDGE-BASED SYSTEMS
- Behavior-Based Grade Prediction for MOOCs via Time Series Neural Networks
- (2017) Tsung-Yen Yang et al. IEEE Journal of Selected Topics in Signal Processing
- Applying an online game-based formative assessment in a flowchart-based intelligent tutoring system for improving problem-solving skills
- (2016) Danial Hooshyar et al. COMPUTERS & EDUCATION
- Predicting students' final performance from participation in on-line discussion forums
- (2013) Cristóbal Romero et al. COMPUTERS & EDUCATION
- e-Learning recommender system for a group of learners based on the unified learner profile approach
- (2013) Pragya Dwivedi et al. EXPERT SYSTEMS
- A personalized e-course composition based on a genetic algorithm with forcing legality in an adaptive learning system
- (2012) Ting-Yi Chang et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A hybrid recommendation algorithm adapted in e-learning environments
- (2012) Wei Chen et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- A self-adjusting e-course generation process for personalized learning
- (2011) Jian-Wei Li et al. EXPERT SYSTEMS WITH APPLICATIONS
- Web usage mining for predicting final marks of students that use Moodle courses
- (2010) Cristobal Romero et al. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
- Dropout prediction in e-learning courses through the combination of machine learning techniques
- (2009) Ioanna Lykourentzou et al. COMPUTERS & EDUCATION
- Intelligent web-based learning system with personalized learning path guidance
- (2007) Chih-Ming Chen COMPUTERS & EDUCATION
- Predicting who will drop out of nursing courses: A machine learning exercise
- (2007) Laurence G. Moseley et al. NURSE EDUCATION TODAY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started