- Ben Williamson
:
The Social life of AI in Education. Int. J. Artif. Intell. Educ. 34(1): 97-104 (2024) - Joost C. F. de Winter:
Can ChatGPT Pass High School Exams on English Language Comprehension? Int. J. Artif. Intell. Educ. 34(3): 915-930 (2024) - Peter Wulff, Lukas Mientus, Anna Nowak, Andreas Borowski:
Correction to: Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers' Written Refections. Int. J. Artif. Intell. Educ. 34(2): 647 (2024) - Editor's Note: Special Issue on Artificial Intelligence for Higher Education in the COVID-19 era: Emerging Technologies, Challenges, and Pedagogy-informed Applications. Int. J. Artif. Intell. Educ. 34(3): 649 (2024)
- Editor's Note: Special Issue on Educational NLP for a Multilingual World. Int. J. Artif. Intell. Educ. 34(4): 1293 (2024)
- Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini:
Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. Int. J. Artif. Intell. Educ. 34(3): 1072-1101 (2024) - Nesra Yannier, Scott E. Hudson, Henry Chang, Kenneth R. Koedinger:
AI Adaptivity in a Mixed-Reality System Improves Learning. Int. J. Artif. Intell. Educ. 34(4): 1541-1558 (2024) - Li Yuan:
Where does AI-driven Education, in the Chinese Context and Beyond, go next? Int. J. Artif. Intell. Educ. 34(1): 31-41 (2024) - 2023
- Moriah Ariely, Tanya Nazaretsky, Giora Alexandron:
Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology. Int. J. Artif. Intell. Educ. 33(1): 1-34 (2023) - Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi:
The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way. Int. J. Artif. Intell. Educ. 33(4): 1031-1056 (2023) - Xiaoyu Bai, Manfred Stede:
A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring. Int. J. Artif. Intell. Educ. 33(4): 992-1030 (2023) - Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah:
Automated Speech Scoring System Under The Lens. Int. J. Artif. Intell. Educ. 33(1): 119-154 (2023) - Francisco Bellas, Sara Guerreiro-Santalla, Martin Naya, Richard J. Duro:
AI Curriculum for European High Schools: An Embedded Intelligence Approach. Int. J. Artif. Intell. Educ. 33(2): 399-426 (2023) - Shayan Doroudi:
The Intertwined Histories of Artificial Intelligence and Education. Int. J. Artif. Intell. Educ. 33(4): 885-928 (2023) - Luke G. Eglington, Philip I. Pavlik:
How to Optimize Student Learning Using Student Models That Adapt Rapidly to Individual Differences. Int. J. Artif. Intell. Educ. 33(3): 497-518 (2023) - Alexandra González Eras, Ricardo dos Santos, José Aguilar:
Evaluation of Digital Competence Profiles Using Dialetheic Logic. Int. J. Artif. Intell. Educ. 33(1): 59-87 (2023) - Cristiano Galafassi, Fabiane Flores Penteado Galafassi, Rosa Maria Vicari, Eliseo Berni Reategui:
EvoLogic: Toward an ITS for Teaching Propositional Logic. Int. J. Artif. Intell. Educ. 33(1): 35-58 (2023) - Hong Gao, Lisa Hasenbein, Efe Bozkir, Richard Göllner, Enkelejda Kasneci:
Exploring Gender Differences in Computational Thinking Learning in a VR Classroom: Developing Machine Learning Models Using Eye-Tracking Data and Explaining the Models. Int. J. Artif. Intell. Educ. 33(4): 929-954 (2023) - Adán José García, Alison Sneyd, Ana Melro, Anaïs Ollagnier, Georgina Tarling, Haiyang Zhang, Mark Stevenson, Richard Everson, Rudy Arthur:
C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation. Int. J. Artif. Intell. Educ. 33(4): 1092-1119 (2023) - Amanda E. Griffith, Gloria Ashiya Katuka, Joseph B. Wiggins, Kristy Elizabeth Boyer, Jason Freeman, Brian Magerko, Tom McKlin:
Investigating the Relationship Between Dialogue States and Partner Satisfaction During Co-Creative Learning Tasks. Int. J. Artif. Intell. Educ. 33(3): 543-582 (2023) - Songhee Han, Min Liu, Zilong Pan, Ying Cai, Peixia Shao:
Making FAQ Chatbots More Inclusive: An Examination of Non-Native English Users' Interactions with New Technology in Massive Open Online Courses. Int. J. Artif. Intell. Educ. 33(3): 752-780 (2023) - Yuanyuan Hu, Claire Donald, Nasser Giacaman:
Can Multi-Label Classifiers Help Identify Subjectivity? A Deep Learning Approach to Classifying Cognitive Presence in MOOCs. Int. J. Artif. Intell. Educ. 33(4): 781-816 (2023) - Igor Kotlyar, Tina Sharifi, Lisa Fiksenbaum:
Assessing Teamwork Skills: Can a Computer Algorithm Match Human Experts? Int. J. Artif. Intell. Educ. 33(4): 955-991 (2023) - Jakub Kuzilek, Zdenek Zdráhal, Jonas Vaclavek, Viktor Fuglik, Jan Skocilas, Annika Wolff:
First-Year Engineering Students' Strategies for Taking Exams. Int. J. Artif. Intell. Educ. 33(3): 583-608 (2023) - H. Chad Lane:
Commentary for the International Journal of Artificial Intelligence in Education Special Issue on K-12 AI Education. Int. J. Artif. Intell. Educ. 33(2): 427-438 (2023) - Christopher Lechuga, Shayan Doroudi:
Three Algorithms for Grouping Students: A Bridge Between Personalized Tutoring System Data and Classroom Pedagogy. Int. J. Artif. Intell. Educ. 33(4): 843-884 (2023) - Maxyn Leitner, Eric Greenwald, Ning Wang, Ryan Montgomery, Chirag Merchant:
Designing Game-Based Learning for High School Artificial Intelligence Education. Int. J. Artif. Intell. Educ. 33(2): 384-398 (2023) - Yu Lu, Deliang Wang, Penghe Chen, Qinggang Meng, Shengquan Yu:
Interpreting Deep Learning Models for Knowledge Tracing. Int. J. Artif. Intell. Educ. 33(3): 519-542 (2023) - Noboru Matsuda, Dan Lv, Guoguo Zheng:
Teaching How to Teach Promotes Learning by Teaching. Int. J. Artif. Intell. Educ. 33(3): 720-751 (2023) - Matthew C. Myers, Joshua Wilson:
Evaluating the Construct Validity of an Automated Writing Evaluation System with a Randomization Algorithm. Int. J. Artif. Intell. Educ. 33(3): 609-634 (2023)
