Mladen Rakovic

According to our database, Mladen Rakovic authored at least 43 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Can AI support human grading? Examining machine attention and confidence in short answer scoring.

Yuheng Li, Mladen Rakovic, Namrata Srivastava, Xinyu Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen

Comput. Educ., 2025

The Effect of Sequential Transition of Self-Regulated Learning Processes on Performance: Insights from Ordered Network Analysis.

Linxuan Zhao, Mladen Rakovic, Elizabeth B. Cloude, Xinyu Li, Dragan Gasevic, Lisa Bardach

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality.

Kaixun Yang, Mladen Rakovic, Zhiping Liang, Lixiang Yan, Zijie Zeng, Yizhou Fan, Dragan Gasevic, Guanliang Chen

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Turning Real-Time Analytics into Adaptive Scaffolds for Self-Regulated Learning Using Generative Artificial Intelligence.

Tongguang Li, Debarshi Nath, Yixin Cheng, Yizhou Fan, Xinyu Li, Mladen Rakovic, Hassan Khosravi, Zachari Swiecki, Yi-Shan Tsai, Dragan Gasevic

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures.

Yixin Cheng, Rui Guan, Tongguang Li, Mladen Rakovic, Xinyu Li, Yizhou Fan, Flora Ji-Yoon Jin, Yi-Shan Tsai, Dragan Gasevic, Zachari Swiecki

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Analytics of Temporal Patterns of Self-regulated Learners: A Time Series Approach.

Saleh Ramadhan Alghamdi, Mladen Rakovic, Kaixun Yang, Yizhou Fan, Dragan Gasevic, Guanliang Chen

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

2024

Co-designing enduring learning analytics prediction and support tools in undergraduate biology courses.

Robert D. Plumley, Matthew L. Bernacki, Jeffrey Alan Greene, Shelbi L. Kuhlmann, Mladen Rakovic, Christopher J. Urban, Kelly A. Hogan, Chaewon Lee, Abigail T. Panter, Kathleen M. Gates

Br. J. Educ. Technol., September, 2024

Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach.

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

Br. J. Educ. Technol., July, 2024

How do students learn with real-time personalized scaffolds?

Lyn Lim, Maria Bannert, Joep van der Graaf, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Inge Molenaar, Dragan Gasevic

Br. J. Educ. Technol., July, 2024

On the role of politeness in online human-human tutoring.

Jionghao Lin, Mladen Rakovic, Yuheng Li, Haoran Xie, David Lang, Dragan Gasevic, Guanliang Chen

Br. J. Educ. Technol., January, 2024

The FLoRA Engine: Using Analytics to Measure and Facilitate Learners' own Regulation Activities.

Xinyu Li, Yizhou Fan, Tongguang Li, Mladen Rakovic, Shaveen Singh, Joep van der Graaf, Lyn Lim, Johanna D. Moore, Inge Molenaar, Maria Bannert, Dragan Gasevic

CoRR, 2024

Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing.

Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Rakovic, Zachari Swiecki, Dragan Gasevic, Guanliang Chen

CoRR, 2024

Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning.

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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing.

Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability.

Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts.

Lele Sha, Mladen Rakovic, Jionghao Lin, Quanlong Guan, Alexander Whitelock-Wainwright, Dragan Gasevic, Guanliang Chen

IEEE Trans. Learn. Technol., June, 2023

Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task.

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

J. Comput. Assist. Learn., June, 2023

Dissecting learning tactics in MOOC using ordered network analysis.

Yizhou Fan, Yuanru Tan, Mladen Rakovic, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer, Dragan Gasevic

J. Comput. Assist. Learn., February, 2023

Learning analytics and assessment: Emerging research trends, promises and future opportunities.

Mladen Rakovic, Dragan Gasevic, Saeed-Ul Hassan, José A. Ruipérez-Valiente, Naif R. Aljohani, Sandra Milligan

Br. J. Educ. Technol., January, 2023

Network Analytics to Unveil Links of Learning Strategies, Time Management, and Academic Performance in a Flipped Classroom.

Mladen Rakovic, Nora'ayu Ahmad Uzir, Wannisa Matcha, Brendan R. Eagan, Jelena Jovanovic, David Williamson Shaffer, Abelardo Pardo, Dragan Gasevic

J. Learn. Anal., 2023

Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data.

Yizhou Fan, Mladen Rakovic, Joep van der Graaf, Lyn Lim, Shaveen Singh, Johanna D. Moore, Inge Molenaar, Maria Bannert, Dragan Gasevic

J. Comput. Assist. Learn., 2023

Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning.

Lyn Lim, Maria Bannert, Joep van der Graaf, Shaveen Singh, Yizhou Fan, Surya Surendrannair, Mladen Rakovic, Inge Molenaar, Johanna D. Moore, Dragan Gasevic

Comput. Hum. Behav., 2023

Reinforcement learning for automatic detection of effective strategies for self-regulated learning.

Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Xinyu Li, Shaveen Singh, Inge Molenaar, Maria Bannert, Dragan Gasevic

Comput. Educ. Artif. Intell., 2023

Can large language models write reflectively.

Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Rakovic, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen

Comput. Educ. Artif. Intell., 2023

Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education.

Yuheng Li, Mladen Rakovic, Wei Dai, Jionghao Lin, Hassan Khosravi, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen

Comput. Educ. Artif. Intell., 2023

Towards explainable prediction of essay cohesion in Portuguese and English.

Hilário Oliveira, Rafael Ferreira Mello, Bruno Alexandre Barreiros Rosa, Mladen Rakovic, Péricles B. C. Miranda, Thiago Damasceno Cordeiro, Seiji Isotani, Ig Ibert Bittencourt, Dragan Gasevic

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom's Taxonomy.

Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani, Dragan Gasevic

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education.

Lin Li, Lele Sha, Yuheng Li, Mladen Rakovic, Jia Rong, Srecko Joksimovic, Neil Selwyn, Dragan Gasevic, Guanliang Chen

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

2022

Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education.

Lele Sha, Mladen Rakovic, Angel Das, Dragan Gasevic, Guanliang Chen

IEEE Trans. Learn. Technol., 2022

Charting Design Needs and Strategic Approaches for Academic Analytics Systems through Co-Design.

Yi-Shan Tsai, Shaveen Singh, Mladen Rakovic, Lisa-Angelique Lim, Anushka Roychoudhury, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study.

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

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources.

Mladen Rakovic, Yizhou Fan, Joep van der Graaf, Shaveen Singh, Jonathan Kilgour, Lyn Lim, Johanna D. Moore, Maria Bannert, Inge Molenaar, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Towards automated content analysis of rhetorical structure of written essays using sequential content-independent features in Portuguese.

Rafael Ferreira Mello, Giuseppe Fiorentino, Hilário Oliveira, Péricles B. C. Miranda, Mladen Rakovic, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues.

Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Automatic Classification of Learning Objectives Based on Bloom's Taxonomy.

Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic, Guanliang Chen

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Towards the Automated Evaluation of Legal Casenote Essays.

Mladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Automatic identification of knowledge-transforming content in argument essays developed from multiple sources.

Mladen Rakovic, Philip H. Winne, Zahia Marzouk, Daniel Chang

J. Comput. Assist. Learn., 2021

Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts.

Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic, Guanliang Chen

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts.

Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Victoria M. Yew, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays.

Rafael Ferreira Mello, Giuseppe Fiorentino, Péricles B. C. Miranda, Hilário Oliveira, Mladen Rakovic, Dragan Gasevic

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Fine grained analysis of students' online discussion posts.

Mladen Rakovic, Zahia Marzouk, Amna Liaqat, Philip H. Winne, John C. Nesbit

Comput. Educ., 2020

2019

nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning.

Philip H. Winne, Kenny Teng, Daniel Chang, Michael Pin-Chuan Lin, Zahia Marzouk, John C. Nesbit, Alexandra Patzak, Mladen Rakovic, Donya Samadi, Jovita M. Vytasek

J. Learn. Anal., July, 2019

2016

Generating Learning Analytics to Improve Learners' Metacognitive Skills Using nStudy Trace Data and the ICAP Framework.

Zahia Marzouk, Mladen Rakovic, Philip H. Winne

Proceedings of the LAK 2016 Workshop on Learning Analytics for Learners, 2016