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ORCIDInternational Journal of Artificial Intelligence in Education, Volume 34
Volume 34, Number 1, March 2024
- Wayne Holmes
:
AIED - Coming of Age? 1-11 - René F. Kizilcec:
To Advance AI Use in Education, Focus on Understanding Educators. 12-19 - Ilkka Tuomi:
Beyond Mastery: Toward a Broader Understanding of AI in Education. 20-30 - Li Yuan:
Where does AI-driven Education, in the Chinese Context and Beyond, go next? 31-41 - Danielle S. McNamara:
AIED: From Cognitive Simulations to Learning Engineering, with Humans in the Middle. 42-54 - Maria Mercedes T. Rodrigo:
Is the AIED Conundrum a First-World Problem? 55-61 - Jen Persson:
Artificial Intelligence and UK Education: Research, the Redistribution of Authority, and Rights. 62-72 - Kaska Porayska-Pomsta:
A Manifesto for a Pro-Actively Responsible AI in Education. 73-83 - Neil Selwyn:
Constructive Criticism? Working with (Rather than Against) the AIED Back-Lash. 84-91 - Arthur C. Graesser, Xiangen Hu, John P. Sabatini, Colin M. Carmon:
Where is Ethics in the Evolution of AIED's Future? 92-96 - Ben Williamson:
The Social life of AI in Education. 97-104 - Rebecca Eynon:
The Future Trajectory of the AIED Community: Defining the 'Knowledge Tradition' in Critical Times. 105-110 - Caroline Pelletier:
Against Personalised Learning. 111-115 - Benedict du Boulay:
Pedagogy, Cognition, Human Rights, and Social Justice. 116-121 - Peter Brusilovsky:
AI in Education, Learner Control, and Human-AI Collaboration. 122-135 - Ken Koedinger:
Navigating Ethical Benefits and Risks as AIED Comes of Age. 136-143 - Wayne Holmes:
Correction to: AIED - Coming of Age? 144 - Danielle S. McNamara:
Correction to: AIED: From Cognitive Simulations to Learning Engineering, with Humans in the Middle. 145
Volume 34, Number 2, June 2024
- Luiz A. L. Rodrigues, Paula T. Palomino, Armando M. Toda, Ana C. T. Klock, Marcela Pessoa, Filipe D. Pereira, Elaine H. T. Oliveira, David Braga Fernandes de Oliveira, Alexandra I. Cristea, Isabela Gasparini, Seiji Isotani:
How Personalization Affects Motivation in Gamified Review Assessments. 147-184 - Ramon Mayor Martins, Christiane Gresse von Wangenheim, Marcelo Fernando Rauber, Jean Carlo Hauck:
Machine Learning for All! - Introducing Machine Learning in Middle and High School. 185-223 - Kurt VanLehn, Fabio Milner, Chandrani Banerjee, Jon Wetzel:
A Step-Based Tutoring System to Teach Underachieving Students How to Construct Algebraic Models. 224-246 - Rebecka Weegar, Peter Idestam-Almquist:
Reducing Workload in Short Answer Grading Using Machine Learning. 247-273 - Marcell Nagy, Roland Molontay:
Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention. 274-300 - Bao Wang, Philippe J. Giabbanelli:
Identifying Informative Features to Evaluate Student Knowledge as Causal Maps. 301-331 - Archana Praveen Kumar, Ashalatha Nayak, Manjula Shenoy K., Chaitanya, Kaustav Ghosh:
A Novel Framework for the Generation of Multiple Choice Question Stems Using Semantic and Machine-Learning Techniques. 332-375 - Ilana Ram, Sara Harris, Ido Roll:
Choice-based Personalization in MOOCs: Impact on Activity and Perceived Value. 376-394 - Verena Dornauer, Michael Netzer, Éva Kaczkó, Lisa-Maria Norz, Elske Ammenwerth:
Automatic Classification of Online Discussions and Other Learning Traces to Detect Cognitive Presence. 395-415 - André Seixas de Novais, José Alexandre Matelli, Messias Borges Silva:
Fuzzy Soft Skills Assessment through Active Learning Sessions. 416-451 - Teo Susnjak:
Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT. 452-482 - Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer:
GPT-3-Driven Pedagogical Agents to Train Children's Curious Question-Asking Skills. 483-518 - Felipe de Morais, Patrícia Augustin Jaques Maillard:
The dynamics of Brazilian students' emotions in digital learning systems. 519-544 - Tanja Käser, Giora Alexandron:
Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test. 545-585 - Michael DeBuse, Dallin Clayton, Brooks Butler, Sean Warnick:
A Toolbox for Understanding the Dynamics of Small Group Discussions. 586-615 - Anna Filighera, Sebastian Ochs, Tim Steuer, Thomas Tregel:
Cheating Automatic Short Answer Grading with the Adversarial Usage of Adjectives and Adverbs. 616-646 - Peter Wulff, Lukas Mientus, Anna Nowak, Andreas Borowski:
Correction to: Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers' Written Refections. 647
Volume 34, Number 3, September 2024
- Editor's Note: Special Issue on Artificial Intelligence for Higher Education in the COVID-19 era: Emerging Technologies, Challenges, and Pedagogy-informed Applications. 649
- Duong Ngo, Andy Nguyen, Belle Dang, Ha Ngan Ngo:
Facial Expression Recognition for Examining Emotional Regulation in Synchronous Online Collaborative Learning. 650-669 - Teresa Swist, Simon Buckingham Shum, Kalervo Gulson:
Co-producing AIED Ethics Under Lockdown: an Empirical Study of Deliberative Democracy in Action. 670-705 - Yiwen Lin, Nia Nixon:
Transitioning to Online Instructions and COVID-19 Response: A View from Mining Emergent College Students Discourse in Online Discussion Forum. 706-731 - Ig Ibert Bittencourt, Geiser Chalco Challco, Jário José Santos, Sheyla Fernandes, Jesana Silva, Naricla Batista, Claudio Hutz, Seiji Isotani:
Positive Artificial Intelligence in Education (P-AIED): A Roadmap. 732-792 - Noemi Mauro, Liliana Ardissono, Federica Cena, Livio Scarpinati, Gianluca Torta:
An Intelligent Support System to Help Teachers Plan Field Trips. 793-824 - Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes:
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving. 825-861 - Samah AlKhuzaey, Floriana Grasso, Terry R. Payne, Valentina Tamma:
Text-based Question Difficulty Prediction: A Systematic Review of Automatic Approaches. 862-914 - Joost C. F. de Winter:
Can ChatGPT Pass High School Exams on English Language Comprehension? 915-930 - Lonneke Boels, Enrique García Moreno Esteva, Arthur Bakker, Paul Drijvers:
Automated Gaze-Based Identification of Students' Strategies in Histogram Tasks through an Interpretable Mathematical Model and a Machine Learning Algorithm. 931-973 - Mark Abdelshiheed, Tiffany Barnes, Min Chi:
How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems. 974-1007 - Said al Faraby, Adiwijaya, Ade Romadhony:
Review on Neural Question Generation for Education Purposes. 1008-1045 - Anderson Pinheiro Cavalcanti, Rafael Ferreira Mello, Dragan Gasevic, Fred Freitas:
Towards Explainable Prediction Feedback Messages Using BERT. 1046-1071 - Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini:
Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. 1072-1101 - Alexis Lebis, Jérémie Humeau, Anthony Fleury, Flavien Lucas, Mathieu Vermeulen:
Fully Individualized Curriculum with Decaying Knowledge, a New Hard Problem: Investigation and Recommendations. 1102-1137 - Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan P. Rowe, Roger Azevedo, James C. Lester:
Detecting and Mitigating Encoded Bias in Deep Learning-Based Stealth Assessment Models for Reflection-Enriched Game-Based Learning Environments. 1138-1165 - Ana Mouta, Ana María Pinto Llorente, Eva María Torrecilla Sánchez:
Uncovering Blind Spots in Education Ethics: Insights from a Systematic Literature Review on Artificial Intelligence in Education. 1166-1205 - Yugo Hayashi:
Modeling Synchronization for Detecting Collaborative Learning Process Using a Pedagogical Conversational Agent: Investigation Using Recurrent Indicators of Gaze, Language, and Facial Expression. 1206-1247 - Keith Cochran, Clayton Cohn, Peter M. Hastings, Noriko Tomuro, Simon Hughes:
Using BERT to Identify Causal Structure in Students' Scientific Explanations. 1248-1286 - W. Lewis Johnson:
How to Harness Generative AI to Accelerate Human Learning. 1287-1291
Volume 34, Number 4, December 2024
- Editor's Note: Special Issue on Educational NLP for a Multilingual World. 1293
- Andrea Horbach, Joey Pehlke, Ronja Laarmann-Quante, Yuning Ding:
Crosslingual Content Scoring in Five Languages Using Machine-Translation and Multilingual Transformer Models. 1294-1320 - Ulrike Padó, Yunus Eryilmaz, Larissa Kirschner:
Short-Answer Grading for German: Addressing the Challenges. 1321-1352 - Robert-Mihai Botarleanu, Micah Watanabe, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara:
Multilingual Age of Exposure 2.0. 1353-1377 - Sebastian Gombert, Aron Fink, Tornike Giorgashvili, Ioana Jivet, Daniele Di Mitri, Jane Yau, Andreas Frey, Hendrik Drachsler:
From the Automated Assessment of Student Essay Content to Highly Informative Feedback: a Case Study. 1378-1416 - Suna Seyma Uçar, Itziar Aldabe, Nora Aranberri, Ana Arruarte:
Exploring Automatic Readability Assessment for Science Documents within a Multilingual Educational Context. 1417-1459 - Stefan Ruseti, Ionut Cristian Paraschiv, Mihai Dascalu, Danielle S. McNamara:
Automated Pipeline for Multi-lingual Automated Essay Scoring with ReaderBench. 1460-1481 - Kevin C. Haudek, Xiaoming Zhai:
Examining the Effect of Assessment Construct Characteristics on Machine Learning Scoring of Scientific Argumentation. 1482-1509 - Jamiu Adekunle Idowu:
Debiasing Education Algorithms. 1510-1540 - Nesra Yannier, Scott E. Hudson, Henry Chang, Kenneth R. Koedinger:
AI Adaptivity in a Mixed-Reality System Improves Learning. 1541-1558 - Jaclyn Ocumpaugh, Rod D. Roscoe, Ryan S. Baker, Stephen Hutt, Stephen J. Aguilar:
Toward Asset-based Instruction and Assessment in Artificial Intelligence in Education. 1559-1598 - Ijaz Ul Haq, Manoli Pifarré, Estíbaliz Fraca:
Novelty Evaluation using Sentence Embedding Models in Open-ended Cocreative Problem-solving. 1599-1626 - Leila Ouahrani, Djamal Bennouar:
Paraphrase Generation and Supervised Learning for Improved Automatic Short Answer Grading. 1627-1670
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