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New papers on fairness, safety, alignment and governance.
The impact of item-writing flaws on difficulty and discrimination in item response theory
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Robin Schmucker, Steven Moore
Conceptualizations of GenAI and students’ professionalization: Within the multi-layered environment of learning for higher education
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Anselm Böhmer, Marcella Dillig, Daniel-Cosmin Andronache, Olga Beshlei, Stephen Bolaji, Illie Isso, Yurii Kovaliuk, Jon Mason, Adriana Laza Medina, Mirona-Horiana Stănescu, Olena Yaroshenko
The EU ePrivacy Directive – Which way forward for Europe?
Publication date: 2008 Source: Computer Law & Security Report, Volume 24, Issue 5 Author(s): Stephen Saxby
GenAI as a runaway object in higher education: A socio-cultural view on AI-influenced academic practice in mathematics
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Dionysia Bakogianni, Yvonne Liljekvist, Phuong Bui
Students’ multimodal prompting practices as epistemic work in AI literacy development
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Sylvana Sofkova Hashemi
Human-in-the-loop by default? Demography, ideology, and civic commitment in the acceptance of autonomous security robots across risk scenarios
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Nik Hynek, Beata Gavurova, Marinko Skare, Matus Kubak, Michal Senk
ASTRA: A synthetic benchmark for trace-based evaluation of socially intelligent multi-agent tutoring and participation-balanced collaboration in introductory programming
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Solomon Sunday Oyelere
The “Gold Rush” in AI and robotics patenting activity. Do innovation systems have a role?
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Giovanni Guidetti, Riccardo Leoncini, Mariele Macaluso
Federated and explainable learning analytics for privacy-preserving academic risk modeling across heterogeneous educational institutions
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): William Villegas-Ch, Alexandra Maldonado Navarro, Jaime Govea, Joselin Garcia-Ortiz, Diego Buenaño-Fernandez
Enhancing AI literacy course satisfaction through empowerment in AI problem-solving and ethical awareness: Development and validation of an AI project-based learning scale
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Jinyu Zhu, Siu Cheung Kong
Brokering permission under uncertainty: How regulatory sandboxes architect innovation governance
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Thomas Anning-Dorson, George Acheampong
Generative AI (GenAI) as a mindtool that supports generative learning (GL)
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Nada Dabbagh, Helen Fake
Environmental penalties and their spillover effects on green innovation: Dual perspectives of geographical and supply chain network proximity
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Fang Dong, Weijia Liu, Zhiqing Wang
Effects of an AI-supported inquiry model on AI literacy and authentic performance: A quasi-experimental study with preservice teachers
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Dongyun Cao, Yuting Yan, Anyuan Xiong, David Wicks
Environmental regulatory pressure, artificial intelligence and corporate green innovation bubbles in China
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Yu Li, Changqi Tao, Jiawei Qian, Tao Xie
Same AI, different pathways: Unpacking mechanisms of AI-mediated learning across discipline-institution contexts
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Qinjie Shen
Artificial intelligence policy and the distortion of green innovation: Evidence from a multi-period quasi-natural experiment
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Yu Hao, Xueyu Rui
Fostering machine learning literacy in senior primary education: Evaluating a structured pedagogical course design
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Siu Cheung Kong, Qiaoyi Wang
Technology readiness levels for policy making: Lessons from the autonomous vehicle hype cycle
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Diana Hicks, Navya Gupta, Naseeb Souweidane, Sergio Pelaez, Gordon Kingsley
Personalized neural cognitive architecture search: AutoML-driven diagnostic model generation for heterogeneous learner profiles
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Liyuan Jia, Ke Dong
Unlocking AI robotics adoption in innovative firms: Make, buy or ally?
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): David Audretsch, Maksim Belitski, Nada Rejeb
Human-AI collaboration in higher education: Exploring the impact of technology expectations and distrust
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Liana Razmerita, Xiaojiang Zheng, Jonathan P. Allen
Best of both worlds? Balancing social welfare and environmental burden of smart transportation technologies
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Xiaofeng Xu, Yijing Wang, Yirui Deng, Mingyue Jiang, Victor Shi
Artificial intelligence in vocational education and training: A systematic review of educational purposes, theoretical conceptualizations, and empirical effectiveness
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Viola Deutscher, Herbert Thomann, Olga Zlatkin-Troitschanskaia, Ulrike Weyland, Stephan Abele, Amory H. Danek, Samuel Greiff, Andreas Rausch, Susan Seeber, Jürgen Seifried, Esther Winther
Why do people resist mobile health applications? Understanding public resistance intention through extended innovation resistance theory
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Pei-Hsuan Tsai, Wen-Hsuan Lo
Fair and Explainable Educational Recommendations with a Hybrid Graph-GRU Framework
Publication date: Available online 11 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Edmund Evangelista, Syed M.Salman Bukhari
Affordance actualisation in a disruptive environment: The role of blockchain technology
Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Jiaqi Yang, Alireza Amrollahi, Robbie Moulding, Josh Morton, John Palfreyman
Corrigendum to “Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students” [Computers and Education: Artificial Intelligence. 8 (2025) 100379]
Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Rochman Hadi Mustofa, Trian Gigih Kuncoro, Dwi Atmono, Hardika Dwi Hermawan, Sukirman
Regulatory science, earnings management, and stock price crash risk: Evidence from disclosure-oriented supervision in China
Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Lin Wang, Fengqin Liu
Corrigendum to “Evaluating lab assistant chatbot on student learning and behaviors in a programming short course” [Computers and Education: Artificial Intelligence 10 (2026) 100527]
Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Thanapon Noraset, Akara Supratak, Chaiyong Ragkhitwetsagul, Nubthong Worathong, Suppawong Tuarob
Industry 5.0 technologies to enable innovation in the era of twin transition: A case study on the nexus between SMEs and regulators
Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Roberto Cerchione, Antonio Messeni Petruzzelli, Armando Papa, Viviana Sicardi
Retraction notice to “Integrating AI-based adaptive learning into the flipped classroom model to enhance engagement and learning outcomes” [Computers and Education: Artificial Intelligence 8 (2025) 100392]
Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Jozsef Katona, Klara Ida Katonane Gyonyoru
Science-based regulation, managerial risk preference and corporate risk-taking: Evidence from China
Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Yuanyu Guo, Yi Zhou, Liang Li
Corrigendum to “Face value: How avatar identity shapes epistemic trust in AI-mediated learning” [Computers and Education: Artificial Intelligence 10 (2026) 100610]
Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Zach Anthis, Avgousta Kyriakidou-Zacharoudiou
Smart cities, unequal outcomes: Artificial intelligence, environmental regulation, and urban carbon distribution in China
Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Zhiyi Li, Zijun Li, Lei Jin, Yanze Wang
Complexity and the uncertain impact of novel science
Publication date: October 2026 Source: Research Policy, Volume 55, Issue 8 Author(s): Nicola Melluso
Reimagining feedback through generative AI in engineering education
Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Janka Pecuchova, Lubomir Benko, Martin Drlik
Erratum to “AI-driven carbon monitoring and policy mix co-evolution: Evidence from carbon trading dynamics” [Technol. Forecast. Soc. Change 230 (2026) 124736]
Publication date: September 2026 Source: Technological Forecasting and Social Change, Volume 230 Author(s): Yue Li, Guofu Li, Sarah Yvonne Cooper, Hongqi Wang, Anfeng Xu
‘Systems of use’: A lens to more deeply study user innovation
Publication date: October 2026 Source: Research Policy, Volume 55, Issue 8 Author(s): Eric von Hippel
Learning-to-learn in the age of generative AI: A scoping review and conceptual framework
Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Isabel Schorr, Lisa Bardach, Babette Bühler, Enkelejda Kasneci