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ORCIDDragan Gasevic
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- affiliation: Monash University, Australia
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2020 – today
- 2024
[j224]Anderson Pinheiro Cavalcanti
, Rafael Ferreira Mello, Dragan Gasevic, Fred Freitas:
Towards Explainable Prediction Feedback Messages Using BERT. Int. J. Artif. Intell. Educ. 34(3): 1046-1071 (2024)- [j223]Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martínez Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, Dragan Gasevic:
Practical and ethical challenges of large language models in education: A systematic scoping review. Br. J. Educ. Technol. 55(1): 90-112 (2024) - [j222]Jionghao Lin, Mladen Rakovic, Yuheng Li, Haoran Xie, David Lang, Dragan Gasevic, Guanliang Chen:
On the role of politeness in online human-human tutoring. Br. J. Educ. Technol. 55(1): 156-180 (2024) - [j221]Lyn Lim, Maria Bannert, Joep van der Graaf, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Inge Molenaar, Dragan Gasevic:
How do students learn with real-time personalized scaffolds? Br. J. Educ. Technol. 55(4): 1309-1327 (2024) - [j220]Linxuan Zhao, Dragan Gasevic, Zachari Swiecki, Yuheng Li, Jionghao Lin, Lele Sha, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado:
Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics. Br. J. Educ. Technol. 55(4): 1673-1702 (2024) - [j219]Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Lyn Lim, Joep van der Graaf, Johanna D. Moore, Inge Molenaar, Maria Bannert, Alexander Whitelock-Wainwright, Dragan Gasevic:
Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach. Br. J. Educ. Technol. 55(4): 1747-1771 (2024) - [j218]Lixiang Yan, Vanessa Echeverría, Yueqiao Jin, Gloria Fernández-Nieto, Linxuan Zhao, Xinyu Li, Riordan Alfredo, Zachari Swiecki, Dragan Gasevic, Roberto Martínez-Maldonado:
Evidence-based multimodal learning analytics for feedback and reflection in collaborative learning. Br. J. Educ. Technol. 55(5): 1900-1925 (2024) - [j217]Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Lixiang Yan, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado:
Human-centred learning analytics and AI in education: A systematic literature review. Comput. Educ. Artif. Intell. 6: 100215 (2024) - [j216]Ali Darvishi, Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic, George Siemens:
Impact of AI assistance on student agency. Comput. Educ. 210: 104967 (2024) - [j215]Tiago Barbosa de Lima, Vitor Rolim, André C. A. Nascimento, Péricles B. C. de Miranda, Valmir Macario, Luiz A. L. Rodrigues, Elyda L. S. X. Freitas, Dragan Gasevic, Rafael Ferreira Mello:
Towards explainable automatic punctuation restoration for Portuguese using transformers. Expert Syst. Appl. 257: 125097 (2024) - [j214]Juan Antonio Caballero Hernández, Manuel Palomo-Duarte, Juan Manuel Dodero, Dragan Gasevic:
Supporting Skill Assessment in Learning Experiences Based on Serious Games Through Process Mining Techniques. Int. J. Interact. Multim. Artif. Intell. 8(6): 146 (2024) - [j213]Jelena Jovanovic, Dragan Gasevic, Lixiang Yan, Graham Baker, Andrew Murray, Danijela Gasevic:
Explaining trace-based learner profiles with self-reports: The added value of psychological networks. J. Comput. Assist. Learn. 40(4): 1481-1499 (2024) - [j212]Jia Wei Koh, Dragan Gasevic, David Rankin, Stephane Heritier, Mark Frydenberg, Stella Talic:
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology. npj Digit. Medicine 7(1) (2024) - [j211]Elyda L. S. X. Freitas, Fernando da Fonseca de Souza, Vinicius Cardoso Garcia, Taciana Pontual Falcão, Elaine Cristina Moreira Marques, Dragan Gasevic, Rafael Ferreira Mello:
MMALA: Developing and Evaluating a Maturity Model for Adopting Learning Analytics. J. Learn. Anal. 11(1): 67-86 (2024) - [j210]Namrata Srivastava, Sadia Nawaz, Yi-Shan Tsai, Dragan Gasevic:
Curriculum Analytics of Course Choices:: Links with Academic Performance. J. Learn. Anal. 11(1): 116-131 (2024) - [j209]Flora Ji-Yoon Jin, Bhagya Maheshi, Roberto Martínez-Maldonado, Dragan Gasevic, Yi-Shan Tsai:
Scaffolding Feedback Literacy: Designing a Feedback Analytics Tool with Students. J. Learn. Anal. 11(2): 123-137 (2024) - [j208]Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen:
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. 17: 258-269 (2024) - [j207]Roberto Martínez Maldonado, Vanessa Echeverría, Gloria Fernández-Nieto, Lixiang Yan, Linxuan Zhao, Riordan Alfredo, Xinyu Li, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Simon Buckingham Shum, Dragan Gasevic:
Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-Wild. ACM Trans. Comput. Hum. Interact. 31(1): 8:1-8:41 (2024) - [c311]Gloria Milena Fernández Nieto, Zachari Swiecki, Yi-Shan Tsai, Lele Sha, Yinwei Wei, Jim Wen, Yuheng Li, Yueqiao Jin, Iván Silva Feraud, Yuan-Fang Li, Weiqing Wang, Guanliang Chen, Dragan Gasevic:
Co-designing a knowledge management tool for educator communities of practice. Conference on Designing Interactive Systems 2024 - [c310]Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen:
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. AAAI 2024: 22466-22474 - [c309]Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen:
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education. AAAI 2024: 22502-22510 - [c308]Zhiping Liang, Lele Sha, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen:
Towards the Automated Generation of Readily Applicable Personalised Feedback in Education. AIED (2) 2024: 75-88 - [c307]Lixiang Yan, Linxuan Zhao, Vanessa Echeverría, Yueqiao Jin, Riordan Alfredo, Xinyu Li, Dragan Gasevic, Roberto Martínez Maldonado:
VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations Using Multimodal Generative AI Chatbots. AIED (2) 2024: 180-193 - [c306]Luiz A. L. Rodrigues, Filipe Dwan Pereira, Luciano de Souza Cabral, Geber L. Ramalho, Dragan Gasevic, Rafael Ferreira Mello:
Can GPT4 Answer Educational Tests? Empirical Analysis of Answer Quality Based on Question Complexity and Difficulty. AIED (1) 2024: 192-205 - [c305]Rafael Ferreira Mello, Luiz A. L. Rodrigues, Erverson B. G. de Sousa, Hyan Batista, Mateus Lins, André C. A. Nascimento, Dragan Gasevic:
Automatic Detection of Narrative Rhetorical Categories and Elements on Middle School Written Essays. AIED (1) 2024: 295-308 - [c304]Lixiang Yan, Vanessa Echeverría, Gloria Milena Fernández Nieto, Yueqiao Jin, Zachari Swiecki, Linxuan Zhao, Dragan Gasevic, Roberto Martínez Maldonado:
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations. CHI Extended Abstracts 2024: 191:1-191:7 - [c303]Hongbo Shao, Roberto Martínez Maldonado, Vanessa Echeverría, Lixiang Yan, Dragan Gasevic:
Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension? CHI 2024: 195:1-195:21 - [c302]Emma Whitelock-Wainwright, David Rankin, Stella Talic, Dragan Gasevic:
A Mixed-Method Case Study: Medical Practitioner Sensemaking in the Context of Practice Analytics. CHI Extended Abstracts 2024: 500:1-500:11 - [c301]Filipe Dwan Pereira, Maely Moraes, Marcelo Henrique Oliveira Henklain, Arto Hellas, Elaine Oliveira, Dragan Gasevic, Raimundo S. Barreto, Rafael Mello:
From Sparse to Smart: Leveraging AI for Effective Online Judge Problem Classification in Programming Education. EC-TEL (1) 2024: 359-374 - [c300]Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Gasevic, Guangliang Chen:
Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights. IJCAI 2024: 7545-7553 - [c299]Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado:
SLADE: A Method for Designing Human-Centred Learning Analytics Systems. LAK 2024: 24-34 - [c298]Linxuan Zhao, Vanessa Echeverría, Zachari Swiecki, Lixiang Yan, Riordan Alfredo, Xinyu Li, Dragan Gasevic, Roberto Martínez Maldonado:
Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning. LAK 2024: 90-100 - [c297]Zhiping Liang, Zijie Zeng, Gloria Fernández-Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Zachari Swiecki, Dragan Gasevic, John Bradley, Lele Sha:
Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language. LAK Workshops 2024: 100-117 - [c296]Lixiang Yan, Roberto Martínez Maldonado, Dragan Gasevic:
Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle. LAK 2024: 101-111 - [c295]Vanessa Echeverría, Lixiang Yan, Linxuan Zhao, Sophie Abel, Riordan Alfredo, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Simon Buckingham Shum, Dragan Gasevic, Roberto Martínez Maldonado:
TeamSlides: a Multimodal Teamwork Analytics Dashboard for Teacher-guided Reflection in a Physical Learning Space. LAK 2024: 112-122 - [c294]Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki:
Evidence-centered Assessment for Writing with Generative AI. LAK 2024: 178-188 - [c293]John Saint, Yizhou Fan, Dragan Gasevic:
Analytics of scaffold compliance for self-regulated learning. LAK 2024: 326-337 - [c292]Tongguang Li, Dragan Gasevic:
Analytics of Planning Behaviours in Self-Regulated Learning: Links with Strategy Use and Prior Knowledge. LAK 2024: 438-449 - [c291]Shihui Feng, Lixiang Yan, Linxuan Zhao, Roberto Martínez Maldonado, Dragan Gasevic:
Heterogenous Network Analytics of Small Group Teamwork: Using Multimodal Data to Uncover Individual Behavioral Engagement Strategies. LAK 2024: 587-597 - [c290]Lin Li, Namrata Srivastava, Jia Rong, Gina Pianta, Raju Varanasi, Dragan Gasevic, Guanliang Chen:
Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. LAK 2024: 608-619 - [c289]Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran:
CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. LAK 2024: 645-655 - [c288]Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic:
Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing. LAK 2024: 656-666 - [c287]Gloria Milena Fernández Nieto, Roberto Martínez Maldonado, Vanessa Echeverría, Kirsty Kitto, Dragan Gasevic, Simon Buckingham Shum:
Data Storytelling Editor: A Teacher-Centred Tool for Customising Learning Analytics Dashboard Narratives. LAK 2024: 678-689 - [c286]Mladen Rakovic, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martínez Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic:
Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. LAK 2024: 701-712 - [e17]Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024 [contents] - [i24]Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen:
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. CoRR abs/2401.05655 (2024) - [i23]Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki:
Evidence-centered Assessment for Writing with Generative AI. CoRR abs/2401.08964 (2024) - [i22]Hongbo Shao, Roberto Martínez Maldonado, Vanessa Echeverría, Lixiang Yan, Dragan Gasevic:
Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension? CoRR abs/2402.12634 (2024) - [i21]Yueqiao Jin, Vanessa Echeverría, Lixiang Yan, Linxuan Zhao, Riordan Alfredo, Yi-Shan Tsai, Dragan Gasevic, Roberto Martínez Maldonado:
FATE in MMLA: A Student-Centred Exploration of Fairness, Accountability, Transparency, and Ethics in Multimodal Learning Analytics. CoRR abs/2402.19071 (2024) - [i20]Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Gasevic, Guanliang Chen:
Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts. CoRR abs/2403.03506 (2024) - [i19]Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gasevic, Paul Denny, Hassan Khosravi:
Large Language Models Meet User Interfaces: The Case of Provisioning Feedback. CoRR abs/2404.11072 (2024) - [i18]Yueqiao Jin, Lixiang Yan, Vanessa Echeverría, Dragan Gasevic, Roberto Martínez Maldonado:
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines. CoRR abs/2405.11800 (2024) - [i17]Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gasevic, Zhi Liu:
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification. CoRR abs/2406.00954 (2024) - [i16]Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do:
PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval. CoRR abs/2406.12593 (2024) - [i15]Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Rakovic, Zachari Swiecki, Dragan Gasevic, Guanliang Chen:
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing. CoRR abs/2406.14885 (2024) - [i14]Lixiang Yan, Samuel Greiff, Ziwen Teuber, Dragan Gasevic:
Promises and challenges of generative artificial intelligence for human learning. CoRR abs/2408.12143 (2024) - [i13]Lixiang Yan, Roberto Martínez-Maldonado, Yueqiao Jin, Vanessa Echeverría, Mikaela Elizabeth Milesi, Jie Fan, Linxuan Zhao, Riordan Alfredo, Xinyu Li, Dragan Gasevic:
From Data Stories to Dialogues: A Randomised Controlled Trial of Generative AI Agents and Data Storytelling in Enhancing Data Visualisation Comprehension. CoRR abs/2409.11645 (2024) - [i12]Yueqiao Jin, Roberto Martínez-Maldonado, Dragan Gasevic, Lixiang Yan:
GLAT: The Generative AI Literacy Assessment Test. CoRR abs/2411.00283 (2024) - 2023
- [j206]Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, Aarón Rubio-Fernández, Yi-Shan Tsai, Dragan Gasevic, Carlos Delgado Kloos:
A systematic analysis of learning analytics using multi-source data in the context of Spain. Behav. Inf. Technol. 42(5): 643-657 (2023) - [j205]Mladen Rakovic, Dragan Gasevic, Saeed-Ul Hassan, José A. Ruipérez-Valiente, Naif R. Aljohani, Sandra Milligan:
Learning analytics and assessment: Emerging research trends, promises and future opportunities. Br. J. Educ. Technol. 54(1): 10-18 (2023) - [j204]Lixiang Yan, Roberto Martínez Maldonado, Linxuan Zhao, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Xinyu Li, Dragan Gasevic:
The role of indoor positioning analytics in assessment of simulation-based learning. Br. J. Educ. Technol. 54(1): 267-292 (2023) - [j203]Shane Dawson, Srecko Joksimovic, Caitlin Mills, Dragan Gasevic, George Siemens:
Advancing theory in the age of artificial intelligence. Br. J. Educ. Technol. 54(5): 1051-1056 (2023) - [j202]Dragan Gasevic, George Siemens, Shazia Sadiq:
Empowering learners for the age of artificial intelligence. Comput. Educ. Artif. Intell. 4: 100130 (2023) - [j201]Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Rakovic, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen:
Can large language models write reflectively. Comput. Educ. Artif. Intell. 4: 100140 (2023) - [j200]Yuheng Li, Mladen Rakovic, Wei Dai, Jionghao Lin, Hassan Khosravi, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen:
Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education. Comput. Educ. Artif. Intell. 5: 100157 (2023) - [j199]Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Xinyu Li, Shaveen Singh, Inge Molenaar, Maria Bannert, Dragan Gasevic:
Reinforcement learning for automatic detection of effective strategies for self-regulated learning. Comput. Educ. Artif. Intell. 5: 100181 (2023) - [j198]Inge Molenaar, Susanne de Mooij, Roger Azevedo, Maria Bannert, Sanna Järvelä, Dragan Gasevic:
Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data. Comput. Hum. Behav. 139: 107540 (2023) - [j197]Lyn Lim, Maria Bannert, Joep van der Graaf, Shaveen Singh, Yizhou Fan, Surya Surendrannair, Mladen Rakovic, Inge Molenaar, Johanna D. Moore, Dragan Gasevic:
Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning. Comput. Hum. Behav. 139: 107547 (2023) - [j196]Zoey Ziyi Li, Han Wang, Dragan Gasevic, Jiangshan Yu, Joseph K. Liu:
Enhancing Blockchain Adoption through Tailored Software Engineering: An Industrial-grounded Study in Education Credentialing. Distributed Ledger Technol. Res. Pract. 2(4): 1-24 (2023) - [j195]Asma Alzahrani, Yi-Shan Tsai, Sehrish Iqbal, Pedro Manuel Moreno-Marcos, Maren Scheffel, Hendrik Drachsler, Carlos Delgado Kloos, Naif R. Aljohani, Dragan Gasevic:
Untangling connections between challenges in the adoption of learning analytics in higher education. Educ. Inf. Technol. 28(4): 4563-4595 (2023) - [j194]Hajra Waheed, Saeed-Ul Hassan, Raheel Nawaz, Naif R. Aljohani, Guanliang Chen, Dragan Gasevic:
Early prediction of learners at risk in self-paced education: A neural network approach. Expert Syst. Appl. 213(Part): 118868 (2023) - [j193]Lele Sha, Dragan Gasevic, Guanliang Chen:
Lessons from debiasing data for fair and accurate predictive modeling in education. Expert Syst. Appl. 228: 120323 (2023) - [j192]Mohammed Saqr, Sonsoles López-Pernas, Jelena Jovanovic, Dragan Gasevic:
Intense, turbulent, or wallowing in the mire: A longitudinal study of cross-course online tactics, strategies, and trajectories. Internet High. Educ. 57: 100902 (2023) - [j191]Yizhou Fan, Yuanru Tan, Mladen Rakovic, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer, Dragan Gasevic:
Dissecting learning tactics in MOOC using ordered network analysis. J. Comput. Assist. Learn. 39(1): 154-166 (2023) - [j190]Andrés Araos, Crina Damsa, Dragan Gasevic:
Browsing to learn: How computer and software engineering students use online platforms in learning activities. J. Comput. Assist. Learn. 39(2): 676-693 (2023) - [j189]Mladen Rakovic, Sehrish Iqbal, Tongguang Li, Yizhou Fan, Shaveen Singh, Surya Surendrannair, Jonathan Kilgour, Joep van der Graaf, Lyn Lim, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic:
Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task. J. Comput. Assist. Learn. 39(3): 703-718 (2023) - [j188]Yizhou Fan, Mladen Rakovic, Joep van der Graaf, Lyn Lim, Shaveen Singh, Johanna D. Moore, Inge Molenaar, Maria Bannert, Dragan Gasevic:
Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data. J. Comput. Assist. Learn. 39(4): 1303-1324 (2023) - [j187]Sebastian Wollny, Daniele Di Mitri, Ioana Jivet, Pedro José Muñoz Merino, Maren Scheffel, Jan Schneider, Yi-Shan Tsai, Alexander Whitelock-Wainwright, Dragan Gasevic, Hendrik Drachsler:
Students' expectations of Learning Analytics across Europe. J. Comput. Assist. Learn. 39(4): 1325-1338 (2023) - [j186]Vanessa Echeverría, Roberto Martínez Maldonado, Lixiang Yan, Linxuan Zhao, Gloria Fernández-Nieto, Dragan Gasevic, Simon Buckingham Shum:
HuCETA: A Framework for Human-Centered Embodied Teamwork Analytics. IEEE Pervasive Comput. 22(1): 39-49 (2023) - [j185]Lixiang Yan, Linxuan Zhao, Dragan Gasevic, Xinyu Li, Roberto Martínez Maldonado:
Socio-spatial Learning Analytics in Co-located Collaborative Learning Spaces:: A Systematic Literature Review. J. Learn. Anal. 10(3): 45-63 (2023) - [j184]Mladen Rakovic, Nora'ayu Ahmad Uzir, Wannisa Matcha, Brendan R. Eagan, Jelena Jovanovic, David Williamson Shaffer, Abelardo Pardo, Dragan Gasevic:
Network Analytics to Unveil Links of Learning Strategies, Time Management, and Academic Performance in a Flipped Classroom. J. Learn. Anal. 10(3): 64-86 (2023) - [j183]Ali Darvishi, Hassan Khosravi, Afshin Rahimi, Shazia Sadiq, Dragan Gasevic:
Assessing the Quality of Student-Generated Content at Scale: A Comparative Analysis of Peer-Review Models. IEEE Trans. Learn. Technol. 16(1): 106-120 (2023) - [j182]Lele Sha, Mladen Rakovic, Jionghao Lin, Quanlong Guan, Alexander Whitelock-Wainwright, Dragan Gasevic, Guanliang Chen:
Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. IEEE Trans. Learn. Technol. 16(3): 339-352 (2023) - [j181]Davinia Hernández-Leo, Pedro J. Muñoz-Merino, Miguel L. Bote-Lorenzo, Dragan Gasevic, Sanna Järvelä:
Editorial Technologies for Data-Driven Interventions in Smart Learning Environments. IEEE Trans. Learn. Technol. 16(3): 378-381 (2023) - [c285]Zijie Zeng, Dragan Gasevic, Guanliang Chen:
On the Effectiveness of Curriculum Learning in Educational Text Scoring. AAAI 2023: 14602-14610 - [c284]Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic:
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED 2023: 114-125 - [c283]Lele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen:
The Road Not Taken: Preempting Dropout in MOOCs. AIED 2023: 164-175 - [c282]Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine:
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED 2023: 176-188 - [c281]Linxuan Zhao, Yuanru Tan, Dragan Gasevic, David Williamson Shaffer, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado:
Analysing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network Analysis. AIED 2023: 242-254 - [c280]Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen:
Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. AIED 2023: 438-449 - [c279]Lixiang Yan, Roberto Martínez Maldonado, Linxuan Zhao, Xinyu Li, Dragan Gasevic:
Physiological Synchrony and Arousal as Indicators of Stress and Learning Performance in Embodied Collaborative Learning. AIED 2023: 602-614 - [c278]Filipe Dwan Pereira, Elaine H. T. Oliveira, Luiz A. L. Rodrigues, Luciano de Souza Cabral, David B. F. Oliveira, Leandro S. G. Carvalho, Dragan Gasevic, Alexandra I. Cristea, Diego Dermeval, Rafael Ferreira Mello:
Evaluation of a Hybrid AI-Human Recommender for CS1 Instructors in a Real Educational Scenario. EC-TEL 2023: 308-323 - [c277]Stanislav Pozdniakov, Roberto Martínez Maldonado, Yi-Shan Tsai, Namrata Srivastava, Yuchen Liu, Dragan Gasevic:
Single or Multi-page Learning Analytics Dashboards? Relationships Between Teachers' Cognitive Load and Visualisation Literacy. EC-TEL 2023: 339-355 - [c276]Mayara Simões de Oliveira Castro, Rafael Ferreira Mello, Giuseppe Fiorentino, Olga Viberg, Daniel Spikol, Martine Baars, Dragan Gasevic:
Understanding Peer Feedback Contributions Using Natural Language Processing. EC-TEL 2023: 399-414 - [c275]Debarshi Nath, Dragan Gasevic, Ramkumar Rajendran:
A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks. EDM 2023 - [c274]Wei Dai, Jionghao Lin, Hua Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen:
Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. ICALT 2023: 323-325 - [c273]Tongguang Li, Jionghao Lin, Sehrish Iqbal, Zachari Swiecki, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic:
Do Learners Appreciate Adaptivity? An Epistemic Network Analysis of How Learners Perceive Adaptive Scaffolding. ICQE 2023: 3-17 - [c272]Lixiang Yan, Yuanru Tan, Zachari Swiecki, Dragan Gasevic, David Williamson Shaffer, Linxuan Zhao, Xinyu Li, Roberto Martínez Maldonado:
Characterising Individual-Level Collaborative Learning Behaviours Using Ordered Network Analysis and Wearable Sensors. ICQE 2023: 66-80 - [c271]Lixiang Yan, Roberto Martínez Maldonado, Linxuan Zhao, Xinyu Li, Dragan Gasevic:
SeNA: Modelling Socio-spatial Analytics on Homophily by Integrating Social and Epistemic Network Analysis. LAK 2023: 22-32 - [c270]Riordan Dervin Alfredo, Lanbing Nie, Paul J. Kennedy, Tamara Power, Carolyn Hayes, Hui Chen, Carolyn McGregor, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado:
"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers. LAK 2023: 57-67 - [c269]Stanislav Pozdniakov, Roberto Martínez Maldonado, Yi-Shan Tsai, Vanessa Echeverría, Namrata Srivastava, Dragan Gasevic:
How Do Teachers Use Dashboards Enhanced with Data Storytelling Elements According to their Data Visualisation Literacy Skills? LAK 2023: 89-99 - [c268]Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen:
Learner-centred Analytics of Feedback Content in Higher Education. LAK 2023: 100-110 - [c267]Elaine Farrow, Johanna D. Moore, Dragan Gasevic:
Names, Nicknames, and Spelling Errors: Protecting Participant Identity in Learning Analytics of Online Discussions. LAK 2023: 145-155 - [c266]Xinyu Li, Lixiang Yan,