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ORCIDComputers and Education: Artificial Intelligence, Volume 2
Volume 2, 2021
- Pei-Yi Lin
, Ching-Sing Chai, Morris Siu-Yung Jong, Yun Dai, Yanmei Guo, Jianjun Qin:
Modeling the structural relationship among primary students' motivation to learn artificial intelligence. 100006 - Muhammad Azeem Abbas, Gwo-Jen Hwang, Saheed Ajayi, Ghulam Mustafa, Muhammad Bilal:
Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children's structural and functional categorization. 100007 - Stephen J. H. Yang, Hiroaki Ogata, Tatsunori Matsui, Nian-Shing Chen:
Human-centered artificial intelligence in education: Seeing the invisible through the visible. 100008 - Everton Gomede, Rodolfo Miranda de Barros, Leonardo de Souza Mendes:
Deep auto encoders to adaptive E-learning recommender system. 100009 - Jingjing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee, Oliver Tat Sheung Au:
Top-N personalized recommendation with graph neural networks in MOOCs. 100010 - Joanne Wai Yee Chung, Henry Chi Fuk So, Marcy Ming Tak Choi, Vincent Chun Man Yan, Thomas K. S. Wong:
Artificial Intelligence in education: Using heart rate variability (HRV) as a biomarker to assess emotions objectively. 100011 - Ting-Chia Hsu, Hal Abelson, Natalie Lao, Yu-Han Tseng, Yi-Ting Lin:
Behavioral-pattern exploration and development of an instructional tool for young children to learn AI. 100012 - Dechawut Wanichsan, Patcharin Panjaburee, Sasithorn Chookaew:
Enhancing knowledge integration from multiple experts to guiding personalized learning paths for testing and diagnostic systems. 100013 - Nuno Fachada:
ColorShapeLinks: A board game AI competition for educators and students. 100014 - Chih-Ming Chen, Jung-Ying Wang, Li-Chieh Hsu:
An interactive test dashboard with diagnosis and feedback mechanisms to facilitate learning performance. 100015 - David John Lemay, Clare Baek, Tenzin Doleck:
Comparison of learning analytics and educational data mining: A topic modeling approach. 100016 - Tumaini Kabudi, Ilias O. Pappas, Dag Håkon Olsen:
AI-enabled adaptive learning systems: A systematic mapping of the literature. 100017 - Carlos Felipe Rodríguez-Hernández, Mariel Musso, Eva Kyndt, Eduardo Cascallar:
Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation. 100018 - Venkat Srinivasan, Hemavathi Murthy:
Improving reading and comprehension in K-12: Evidence from a large-scale AI technology intervention in India. 100019 - Fan Ouyang, Pengcheng Jiao:
Artificial intelligence in education: The three paradigms. 100020 - Ryan S. Baker, Dragan Gasevic, Shamya Karumbaiah:
Four paradigms in learning analytics: Why paradigm convergence matters. 100021 - Elahe Mohammadreza, Reza Safabakhsh:
Lecture quality assessment based on the audience reactions using machine learning and neural networks. 100022 - Jingyun Wang, Gwo-Haur Hwang, Ching-Yi Chang:
Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications. 100023 - Ken-Zen Chen, Shao-Chi Li:
Sequential, typological, and academic dynamics of self-regulated learners: Learning analytics of an undergraduate chemistry online course. 100024 - Ke Zhang, Ayse Begum Aslan:
AI technologies for education: Recent research & future directions. 100025 - Siu-Cheung Kong, William Man-Yin Cheung, Guo Zhang:
Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. 100026 - Anderson Pinheiro Cavalcanti, Arthur Barbosa, Ruan Carvalho, Fred Freitas, Yi-Shan Tsai, Dragan Gasevic, Rafael Ferreira Mello:
Automatic feedback in online learning environments: A systematic literature review. 100027 - Esther Kaufmann:
Algorithm appreciation or aversion? Comparing in-service and pre-service teachers' acceptance of computerized expert models. 100028 - Giuseppina Polito, Marco Temperini:
A gamified web based system for computer programming learning. 100029 - Shih-Jou Yu, Yu-Ling Hsueh, Jerry Chih-Yuan Sun, Hao-Ze Liu:
Developing an intelligent virtual reality interactive system based on the ADDIE model for learning pour-over coffee brewing. 100030 - Tianchong Wang, Eric Chi Keung Cheng:
An investigation of barriers to Hong Kong K-12 schools incorporating Artificial Intelligence in education. 100031 - Da Yang Tan, Chin Wei Cheah:
Developing a gamified AI-enabled online learning application to improve students' perception of university physics. 100032
Volume 2, 2021
- Wilfred Chinedu Okonkwo, Abejide Ade-Ibijola:
Chatbots applications in education: A systematic review. 100033 - Benazir Quadir, Maiga Chang, Jie-Chi Yang:
Categorizing learning analytics models according to their goals and identifying their relevant components: A review of the learning analytics literature from 2011 to 2019. 100034 - Vasiliki Matzavela, Efthimios Alepis:
Decision tree learning through a Predictive Model for Student Academic Performance in Intelligent M-Learning environments. 100035 - Trung Thanh Nguyen, Anh Duc Le, Ha Thanh Hoang, Tuan Nguyen:
NEU-chatbot: Chatbot for admission of National Economics University. 100036 - Yuanyuan Hu, Rafael Ferreira Mello, Dragan Gasevic:
Automatic analysis of cognitive presence in online discussions: An approach using deep learning and explainable artificial intelligence. 100037 - Oleksandra Poquet, Kirsty Kitto, Jelena Jovanovic, Shane Dawson, George Siemens, Lina Markauskaite:
Transitions through lifelong learning: Implications for learning analytics. 100039 - Safinah Ali, Daniella DiPaola, Irene Lee, Victor Sindato, Grace Kim, Ryan Blumofe, Cynthia Breazeal:
Children as creators, thinkers and citizens in an AI-driven future. 100040 - Davy Tsz Kit Ng, Jac Ka Lok Leung, Samuel Kai Wah Chu, Maggie Shen Qiao:
Conceptualizing AI literacy: An exploratory review. 100041
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