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ORCIDDragan Gasevic
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- affiliation: Monash University, Australia
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2020 – today
- 2023
[j201]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)- [j200]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) - [j199]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) - [j198]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) - [j197]Dragan Gasevic, George Siemens, Shazia Sadiq:
Empowering learners for the age of artificial intelligence. Comput. Educ. Artif. Intell. 4: 100130 (2023) - [j196]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) - [j195]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) - [j194]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) - [j193]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) - [j192]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) - [j191]Lele Sha, Dragan Gasevic, Guanliang Chen:
Lessons from debiasing data for fair and accurate predictive modeling in education. Expert Syst. Appl. 228: 120323 (2023) - [j190]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) - [j189]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) - [j188]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) - [j187]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) - [j186]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) - [j185]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) - [j184]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) - [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) - [c281]Zijie Zeng, Dragan Gasevic, Guanliang Chen:
On the Effectiveness of Curriculum Learning in Educational Text Scoring. AAAI 2023: 14602-14610 - [c280]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 - [c279]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 - [c278]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 - [c277]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 - [c276]Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen:
Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. AIED 2023: 438-449 - [c275]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 - [c274]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 - [c273]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 - [c272]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 - [c271]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 - [c270]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 - [c269]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 - [c268]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 - [c267]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 - [c266]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 - [c265]Xinyu Li, Lixiang Yan, Linxuan Zhao, Roberto Martínez-Maldonado, Dragan Gasevic:
CVPE: A Computer Vision Approach for Scalable and Privacy-Preserving Socio-spatial, Multimodal Learning Analytics. LAK 2023: 175-185 - [c264]Linxuan Zhao, Zachari Swiecki, Dragan Gasevic, Lixiang Yan, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Xinyu Li, Riordan Alfredo, Roberto Martínez-Maldonado:
METS: Multimodal Learning Analytics of Embodied Teamwork Learning. LAK 2023: 186-196 - [c263]Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani, Dragan Gasevic:
Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom's Taxonomy. LAK 2023: 418-429 - [c262]Lin Li, Lele Sha, Yuheng Li, Mladen Rakovic, Jia Rong, Srecko Joksimovic, Neil Selwyn, Dragan Gasevic, Guanliang Chen:
Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education. LAK 2023: 499-508 - [c261]Hilário Oliveira, Rafael Ferreira Mello, Bruno Alexandre Barreiros Rosa, Mladen Rakovic, Péricles B. C. de Miranda, Thiago Damasceno Cordeiro, Seiji Isotani, Ig Ibert Bittencourt, Dragan Gasevic:
Towards explainable prediction of essay cohesion in Portuguese and English. LAK 2023: 509-519 - [i8]Roberto Martínez Maldonado, Vanessa Echeverría, Gloria Fernández-Nieto, Lixiang Yan, Linxuan Zhao, Riordan Alfredo, Xinyu Li, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Dragan Gasevic, Simon Buckingham Shum:
Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wild. CoRR abs/2303.09099 (2023) - [i7]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 Literature Review. CoRR abs/2303.13379 (2023) - [i6]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. CoRR abs/2304.05578 (2023) - [i5]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. CoRR abs/2304.07499 (2023) - [i4]Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen:
Towards Automatic Boundary Detection for Human-AI Hybrid Essay in Education. CoRR abs/2307.12267 (2023) - [i3]Lixiang Yan, Vanessa Echeverría, Gloria 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. CoRR abs/2311.03999 (2023) - 2022
- [j180]Ali Darvishi, Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic:
Incorporating AI and learning analytics to build trustworthy peer assessment systems. Br. J. Educ. Technol. 53(4): 844-875 (2022) - [j179]Lixiang Yan, Roberto Martínez Maldonado, Beatriz Gallo Cordoba, Joanne Deppeler, Deborah Corrigan, Dragan Gasevic:
Mapping from proximity traces to socio-spatial behaviours and student progression at the school. Br. J. Educ. Technol. 53(6): 1645-1664 (2022) - [j178]Lina Markauskaite, Rebecca Marrone, Oleksandra Poquet, Simon Knight, Roberto Martínez Maldonado, Sarah K. Howard, Jo Tondeur, Maarten de Laat, Simon Buckingham Shum, Dragan Gasevic, George Siemens:
Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Comput. Educ. Artif. Intell. 3: 100056 (2022) - [j177]Ikenna Osakwe, Guanliang Chen, Alexander Whitelock-Wainwright, Dragan Gasevic, Anderson Pinheiro Cavalcanti, Rafael Ferreira Mello:
Towards automated content analysis of educational feedback: A multi-language study. Comput. Educ. Artif. Intell. 3: 100059 (2022) - [j176]John Saint, Yizhou Fan, Dragan Gasevic, Abelardo Pardo:
Temporally-focused analytics of self-regulated learning: A systematic review of literature. Comput. Educ. Artif. Intell. 3: 100060 (2022) - [j175]Sarah K. Howard, Teresa Swist, Dragan Gasevic, Kathryn Bartimote, Simon Knight, Kalervo Gulson, Tiffani Apps, Juliana Peloche, Nathanael Hutchinson, Neil Selwyn:
Educational data journeys: Where are we going, what are we taking and making for AI? Comput. Educ. Artif. Intell. 3: 100073 (2022) - [j174]Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martínez Maldonado, Shazia Wasim Sadiq, Dragan Gasevic:
Explainable Artificial Intelligence in education. Comput. Educ. Artif. Intell. 3: 100074 (2022) - [j173]Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic:
Assessment in the age of artificial intelligence. Comput. Educ. Artif. Intell. 3: 100075 (2022) - [j172]Yizhou Fan, Jelena Jovanovic, John Saint, Yuhang Jiang, Qiong Wang, Dragan Gasevic:
Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study. Comput. Educ. 178: 104404 (2022) - [j171]Dragan Gasevic, Samuel Greiff, David Williamson Shaffer:
Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond. Comput. Hum. Behav. 134: 107304 (2022) - [j170]Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gasevic, Guanliang Chen:
Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues. Future Gener. Comput. Syst. 127: 194-207 (2022) - [j169]Dragan Gasevic, Yi-Shan Tsai, Hendrik Drachsler:
Learning analytics in higher education - Stakeholders, strategy and scale. Internet High. Educ. 52: 100833 (2022) - [j168]Katerina Mangaroska, Kshitij Sharma, Dragan Gasevic, Michail N. Giannakos:
Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity. J. Comput. Assist. Learn. 38(1): 40-59 (2022) - [j167]Isabel Hilliger, José A. Ruipérez Valiente, Giora Alexandron, Dragan Gasevic:
Trustworthy remote assessments: A typology of pedagogical and technological strategies. J. Comput. Assist. Learn. 38(6): 1507-1520 (2022) - [j166]Anna Janssen, Judy Kay, Stella Talic, Martin Pusic, Robert J. Birnbaum, Rodrigo Cavalcanti, Dragan Gasevic, Tim Shaw:
Electronic Health Records That Support Health Professional Reflective Practice: a Missed Opportunity in Digital Health. J. Heal. Informatics Res. 6(4): 375-384 (2022) - [j165]Emma Whitelock-Wainwright, Jia Wei Koh, Alexander Whitelock-Wainwright, Stella Talic, David Rankin, Dragan Gasevic:
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis. BMC Medical Informatics Decis. Mak. 22(1): 256 (2022) - [j164]Varshita Sher, Marek Hatala, Dragan Gasevic:
When Do Learners Study?: An Analysis of the Time-of-Day and Weekday-Weekend Usage Patterns of Learning Management Systems from Mobile and Computers in Blended Learning. J. Learn. Anal. 9(2): 1-23 (2022) - [j163]Elaine Farrow, Johanna D. Moore, Dragan Gasevic:
Markers of Cognitive Quality in Student Contributions to Online Course Discussion Forums. J. Learn. Anal. 9(2): 38-65 (2022) - [j162]Joshua Weidlich, Dragan Gasevic, Hendrik Drachsler:
Causal Inference and Bias in Learning Analytics: A Primer on Pitfalls Using Directed Acyclic Graphs. J. Learn. Anal. 9(3): 183-199 (2022) - [j161]Lele Sha, Mladen Rakovic, Angel Das, Dragan Gasevic, Guanliang Chen:
Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education. IEEE Trans. Learn. Technol. 15(4): 481-492 (2022) - [c260]Mladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic, Guanliang Chen:
Towards the Automated Evaluation of Legal Casenote Essays. AIED (1) 2022: 167-179 - [c259]Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen:
Measuring Inconsistency in Written Feedback: A Case Study in Politeness. AIED (1) 2022: 560-566 - [c258]Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen:
Popularity Prediction in MOOCs: A Case Study on Udemy. AIED (1) 2022: 607-613 - [c257]Zoey Ziyi Li, Joseph K. Liu, Jiangshan Yu, Dragan Gasevic:
Blockchain-based Solutions for Education Credentialing System: Comparison and Implications for Future Development. Blockchain 2022: 79-86 - [c256]Lele Sha, Yuheng Li, Dragan Gasevic, Guanliang Chen:
Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification. COLING 2022: 1275-1285 - [c255]Rafael Ferreira Mello, José Rodrigues Neto, Giuseppe Fiorentino, Gabriel Alves, Verenna Arêdes, João Victor Galdino Ferreira Silva, Taciana Pontual Falcão, Dragan Gasevic:
Enhancing Instructors' Capability to Assess Open-Response Using Natural Language Processing and Learning Analytics. EC-TEL 2022: 102-115 - [c254]Ana Hibert, Michael Phillips, Dragan Gasevic, Natasa Pantic, Justine MacLean, Yi-Shan Tsai:
Using Dialogic Feedback to Create Learning Communities During COVID-19: Lessons for Future Teacher Development. EC-TEL 2022: 528-533 - [c253]Lixiang Yan, Linxuan Zhao, Dragan Gasevic, Roberto Martínez Maldonado:
Scalability, Sustainability, and Ethicality of Multimodal Learning Analytics. LAK 2022: 13-23 - [c252]Lixiang Yan, Roberto Martínez Maldonado, Linxuan Zhao, Joanne Deppeler, Deborah Corrigan, Dragan Gasevic:
How do Teachers Use Open Learning Spaces? Mapping from Teachers' Socio-spatial Data to Spatial Pedagogy. LAK 2022: 87-97 - [c251]Mladen Rakovic, Yizhou Fan, Joep van der Graaf, Shaveen Singh, Jonathan Kilgour, Lyn Lim, Johanna D. Moore, Maria Bannert, Inge Molenaar, Dragan Gasevic:
Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources. LAK 2022: 130-141 - [c250]Stanislav Pozdniakov, Roberto Martínez Maldonado, Yi-Shan Tsai, Mutlu Cukurova, Tom Bartindale, Peter Chen, Harrison Marshall, Dan Richardson, Dragan Gasevic:
The Question-driven Dashboard: How Can We Design Analytics Interfaces Aligned to Teachers' Inquiry? LAK 2022: 175-185 - [c249]Taciana Pontual Falcão, Rodrigo Lins Rodrigues, Cristian Cechinel, Diego Dermeval, Elaine Harada Teixeira de Oliveira, Isabela Gasparini, Rafael D. Araújo, Tiago T. Primo, Dragan Gasevic, Rafael Ferreira Mello:
A Penny for your Thoughts: Students and Instructors' Expectations about Learning Analytics in Brazil. LAK 2022: 186-196 - [c248]Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen:
Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. LAK 2022: 282-293 - [c247]Sehrish Iqbal, Zachari Swiecki, Srecko Joksimovic, Rafael Ferreira Mello, Naif R. Aljohani, Saeed-Ul Hassan, Dragan Gasevic:
Uncovering Associations Between Cognitive Presence and Speech Acts: A Network-Based Approach. LAK 2022: 315-325 - [c246]Linxuan Zhao, Lixiang Yan, Dragan Gasevic, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado:
Modelling Co-located Team Communication from Voice Detection and Positioning Data in Healthcare Simulation. LAK 2022: 370-380 - [c245]Yi-Shan Tsai, Shaveen Singh, Mladen Rakovic, Lisa-Angelique Lim, Anushka Roychoudhury, Dragan Gasevic:
Charting Design Needs and Strategic Approaches for Academic Analytics Systems through Co-Design. LAK 2022: 381-391 - [c244]Namrata Srivastava, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Jelena Jovanovic, Joep van der Graaf, Lyn Lim, Surya Surendrannair, Jonathan Kilgour, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic:
Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study. LAK 2022: 392-403 - [c243]Rafael Ferreira Mello, Giuseppe Fiorentino, Hilário Oliveira, Péricles B. C. de Miranda, Mladen Rakovic, Dragan Gasevic:
Towards automated content analysis of rhetorical structure of written essays using sequential content-independent features in Portuguese. LAK 2022: 404-414 - [c242]Máverick André Dionísio Ferreira, Rafael Ferreira Mello, Vitomir Kovanovic, André C. A. Nascimento, Rafael Dueire Lins, Dragan Gasevic:
NASC: Network analytics to uncover socio-cognitive discourse of student roles. LAK 2022: 415-425 - [c241]Hatim Lahza, Hassan Khosravi, Gianluca Demartini, Dragan Gasevic:
Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing. LAK 2022: 542-548 - [c240]Ali Darvishi, Hassan Khosravi, Solmaz Abdi, Shazia W. Sadiq, Dragan Gasevic:
Incorporating Training, Self-monitoring and AI-Assistance to Improve Peer Feedback Quality. L@S 2022: 35-47 - [c239]Zijie Zeng, Xinyu Li, Dragan Gasevic, Guanliang Chen:
Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring? NAACL-HLT 2022: 191-205 - [c238]Zoey Ziyi Li, Joseph K. Liu, Jiangshan Yu, Dragan Gasevic, Wayne Yang:
CVallet: A Blockchain-Oriented Application Development for Education and Recruitment. NSS 2022: 580-597 - 2021
- [j160]Yizhou Fan, Wannisa Matcha, Nora'ayu Ahmad Uzir, Qiong Wang, Dragan Gasevic:
Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning. Int. J. Artif. Intell. Educ. 31(4): 980-1021 (2021) - [j159]Lixiang Yan, Alexander Whitelock-Wainwright, Quanlong Guan, Gangxin Wen, Dragan Gasevic, Guanliang Chen:
Students' experience of online learning during the COVID-19 pandemic: A province-wide survey study. Br. J. Educ. Technol. 52(5): 2038-2057 (2021) - [j158]Ryan S. Baker, Dragan Gasevic, Shamya Karumbaiah:
Four paradigms in learning analytics: Why paradigm convergence matters. Comput. Educ. Artif. Intell. 2: 100021 (2021) - [j157]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. Comput. Educ. Artif. Intell. 2: 100027 (2021) - [j156]Yuanyuan Hu, Rafael Ferreira Mello, Dragan Gasevic:
Automatic analysis of cognitive presence in online discussions: An approach using deep learning and explainable artificial intelligence. Comput. Educ. Artif. Intell. 2: 100037 (2021) - [j155]Jelena Jovanovic, Mohammed Saqr, Srecko Joksimovic, Dragan Gasevic:
Students matter the most in learning analytics: The effects of internal and instructional conditions in predicting academic success. Comput. Educ. 172: 104251 (2021) - [j154]José A. Ruipérez Valiente, Daniel Alberto Jaramillo-Morillo, Srecko Joksimovic, Vitomir Kovanovic, Pedro J. Muñoz-Merino, Dragan Gasevic:
Data-driven detection and characterization of communities of accounts collaborating in MOOCs. Future Gener. Comput. Syst. 125: 590-603 (2021) - [j153]Erverson B. G. de Sousa, Bruno Alexandre Barreiros Rosa, Rafael Ferreira Mello, Taciana Pontual Falcão, Boban Vesin, Dragan Gasevic:
Applications of Learning Analytics in High Schools: A Systematic Literature Review. Frontiers Artif. Intell. 4: 737891 (2021) - [j152]Kaire Kollom, Kairit Tammets, Maren Scheffel, Yi-Shan Tsai, Ioana Jivet, Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, Alexander Whitelock-Wainwright, Adolfo Ruiz-Calleja, Dragan Gasevic, Carlos Delgado Kloos, Hendrik Drachsler, Tobias Ley:
A four-country cross-case analysis of academic staff expectations about learning analytics in higher education. Internet High. Educ. 49: 100788 (2021) - [j151]Yi-Shan Tsai, Vitomir Kovanovic, Dragan Gasevic:
Connecting the dots: An exploratory study on learning analytics adoption factors, experience, and priorities. Internet High. Educ. 50: 100794 (2021) - [j150]