| 2023 | "That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers. Riordan Dervin Alfredo, Lanbing Nie, Paul J. Kennedy, Tamara Power, Carolyn Hayes, Hui Chen, Carolyn McGregor, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado |
| 2023 | A Dashboard to Provide Instructors with Automated Feedback on Students' Peer Review Comments. Amber J. Dood, Kapotaksha Das, Zhen Qian, Solaire Finkenstaedt-Quinn, Anne Gere, Ginger Shultz |
| 2023 | Advancing leaner profiles with learning analytics: A scoping review of current trends and challenges. Abhinava Barthakur, Shane Dawson, Vitomir Kovanovic |
| 2023 | An Integrated Model of Feedback and Assessment: From fine grained to holistic programmatic review. Shane Dawson, Abelardo Pardo, Fatemeh Salehian Kia, Ernesto Panadero |
| 2023 | Are They Learning or Guessing? Investigating Trial-and-Error Behavior with Limited Test Attempts. Bowen Hui |
| 2023 | Are We on the Same Page? Modeling Linguistic Synchrony and Math Literacy in Mathematical Discussions. Yukyeong Song, Wanli Xing, Xiaoyi Tian, Chenglu Li |
| 2023 | Automated, content-focused feedback for a writing-to-learn assignment in an undergraduate organic chemistry course. Field M. Watts, Amber J. Dood, Ginger V. Shultz |
| 2023 | Blockly-DS: Blocks Programming for Data Science with Visual, Statistical, Descriptive and Predictive Analysis. Luiz Barboza, Rafael Ferreira Mello, Micah Gideon Modell, Erico Souza Teixeira |
| 2023 | CVPE: A Computer Vision Approach for Scalable and Privacy-Preserving Socio-spatial, Multimodal Learning Analytics. Xinyu Li, Lixiang Yan, Linxuan Zhao, Roberto Martínez Maldonado, Dragan Gasevic |
| 2023 | Can We Empower Attentive E-reading with a Social Robot? An Introductory Study with a Novel Multimodal Dataset and Deep Learning Approaches. Yoon Lee, Marcus Specht |
| 2023 | Cluster-Based Performance of Student Dropout Prediction as a Solution for Large Scale Models in a Moodle LMS. Louis-Vincent Poellhuber, Bruno Poellhuber, Michel C. Desmarais, Christian Léger, Normand Roy, Mathieu Manh-Chien Vu |
| 2023 | Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading. Daniel Biedermann, Jan Schneider, George-Petru Ciordas-Hertel, Beate Eichmann, Carolin Hahnel, Frank Goldhammer, Hendrik Drachsler |
| 2023 | Do Associations Between Mind Wandering and Learning from Complex Texts Vary by Assessment Depth and Time? Megan Caruso, Sidney D'Mello |
| 2023 | Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras |
| 2023 | Each Encounter Counts: Modeling Language Learning and Forgetting. Boxuan Ma, Gayan Prasad Hettiarachchi, Sora Fukui, Yuji Ando |
| 2023 | Effects of Modalities in Detecting Behavioral Engagement in Collaborative Game-Based Learning. Fahmid Morshed Fahid, Seung Y. Lee, Bradford W. Mott, Jessica Vandenberg, Halim Acosta, Thomas A. Brush, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester |
| 2023 | Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems. Max van Haastrecht, Matthieu J. S. Brinkhuis, Jessica Peichl, Bernd Remmele, Marco Spruit |
| 2023 | Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion. Tanya Nazaretsky, Jamie N. Mikeska, Beata Beigman Klebanov |
| 2023 | Exploring the Feedback Provision of Mentors and Clients for Teams in Work-Integrated Learning Environments. Andrew Zamecnik, Srecko Joksimovic, Vitomir Kovanovic, Georg Grossmann, Djazia Ladjal, Abelardo Pardo |
| 2023 | Fostering Privacy Literacy among High School Students by Leveraging Social Media Interaction and Learning Traces in the Classroom. Andrea Franco, Adrian Holzer |
| 2023 | How Do Teachers Use Dashboards Enhanced with Data Storytelling Elements According to their Data Visualisation Literacy Skills? Stanislav Pozdniakov, Roberto Martínez Maldonado, Yi-Shan Tsai, Vanessa Echeverría, Namrata Srivastava, Dragan Gasevic |
| 2023 | How Students' Emotion and Motivation Changes After Viewing Dashboards with Varied Social Comparison Group: A Qualitative Study. Kimia Aghaei, Marek Hatala, Alireza Mogharrab |
| 2023 | How to Build More Generalizable Models for Collaboration Quality? Lessons Learned from Exploring Multi-Context Audio-Log Datasets using Multimodal Learning Analytics. Pankaj Chejara, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Reet Kasepalu, Adolfo Ruiz-Calleja, Shashi Kant Shankar |
| 2023 | How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. Aaron Haim, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? Ashish Gurung, Sami Baral, Kirk P. Vanacore, Andrew A. McReynolds, Hilary Kreisberg, Anthony F. Botelho, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs. Eduardo Davalos, Caleb Vatral, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas, Naveeduddin Mohammed, Madison Lee, Daniel T. Levin |
| 2023 | Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions. Kirk Vanacore, Ashish Gurung, Andrew A. McReynolds, Allison S. Liu, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics. Pankaj Chejara, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Mohammad Khalil |
| 2023 | Informing Expert Feature Engineering through Automated Approaches: Implications for Coding Qualitative Classroom Video Data. Paul Hur, Nessrine Machaka, Christina Krist, Nigel Bosch |
| 2023 | Insights into undergraduate pathways using course load analytics. Conrad Borchers, Zachary A. Pardos |
| 2023 | Instruction-Embedded Assessment for Reading Ability in Adaptive Mathematics Software. Husni Almoubayyed, Stephen E. Fancsali, Steven Ritter |
| 2023 | Instructional Strategies and Student eTextbook Reading. Jae-Eun Russell, Anna Marie Smith, Salim George, Bryce Damman |
| 2023 | Instructor-in-the-Loop Exploratory Analytics to Support Group Work. Armanda Lewis, Xavier Ochoa, Rohini Qamra |
| 2023 | Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing. ByeongJo Kong, Erik Hemberg, Ana Bell, Una-May O'Reilly |
| 2023 | Joint Choice Time: A Metric for Better Understanding Collaboration in Interactive Museum Exhibits. Matthew Berland, Vishesh Kumar |
| 2023 | LAK 2023: 13th International Learning Analytics and Knowledge Conference, LAK2023, Arlington, TX, USA, March 13-17, 2023 |
| 2023 | Learner-centred Analytics of Feedback Content in Higher Education. Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen |
| 2023 | Learning Analytics and Stakeholder Inclusion: What do We Mean When We Say "Human-Centered"? Charles Lang, Laura Davis |
| 2023 | Learning analytics dashboards: What do students actually ask for? Blazenka Divjak, Barbi Svetec, Damir Horvat |
| 2023 | Leveraging LMS Logs to Analyze Self-Regulated Learning Behaviors in a Maker-based Course. Jeremy T. D. Ng, Yiming Liu, Didier S. Y. Chui, Jack C. H. Man, Xiao Hu |
| 2023 | Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation. Heeryung Choi, Philip H. Winne, Christopher Brooks, Warren Li, Kerby Shedden |
| 2023 | Lost in Translation: Determining the Generalizability of Temporal Models across Course Contexts. Joshua Dallas Quick, Benjamin A. Motz, Anastasia S. Morrone |
| 2023 | METS: Multimodal Learning Analytics of Embodied Teamwork Learning. Linxuan Zhao, Zachari Swiecki, Dragan Gasevic, Lixiang Yan, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Xinyu Li, Riordan Alfredo, Roberto Martínez Maldonado |
| 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 |
| 2023 | Multimodal Predictive Student Modeling with Multi-Task Transfer Learning. Andrew Emerson, Wookhee Min, Jonathan P. Rowe, Roger Azevedo, James C. Lester |
| 2023 | Names, Nicknames, and Spelling Errors: Protecting Participant Identity in Learning Analytics of Online Discussions. Elaine Farrow, Johanna D. Moore, Dragan Gasevic |
| 2023 | Online help-seeking occurring in multiple computer-mediated conversations affects grades in an introductory programming course. Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh |
| 2023 | Predicting Co-occurring Emotions in MetaTutor when Combining Eye-Tracking and Interaction Data from Separate User Studies. Rohit Murali, Cristina Conati, Roger Azevedo |
| 2023 | Predicting Item Response Theory Parameters Using Question Statements Texts. Wemerson Marinho, Esteban Walter Gonzalez Clua, Luis Martí, Karla Marinho |
| 2023 | Predicting Students' Algebra I Performance using Reinforcement Learning with Multi-Group Fairness. Fan Zhang, Wanli Xing, Chenglu Li |
| 2023 | Predictive Learning Analytics and University Teachers: Usage and perceptions three years post implementation. Christothea Herodotou, Claire Maguire, Martin Hlosta, Paul Mulholland |
| 2023 | Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. Jade Maï Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja Käser |
| 2023 | Recurrence Quantification Analysis of Eye Gaze Dynamics During Team Collaboration. Robert G. Moulder, Brandon M. Booth, Angelina Abitino, Sidney D'Mello |
| 2023 | SeNA: Modelling Socio-spatial Analytics on Homophily by Integrating Social and Epistemic Network Analysis. Lixiang Yan, Roberto Martínez Maldonado, Linxuan Zhao, Xinyu Li, Dragan Gasevic |
| 2023 | Student Profiles of Change in a University Course: A Complex Dynamical Systems Perspective. Oleksandra Poquet, Jelena Jovanovic, Abelardo Pardo |
| 2023 | The Doer Effect at Scale: Investigating Correlation and Causation Across Seven Courses. Rachel Van Campenhout, Bill Jerome, Jeffrey S. Dittel, Benny G. Johnson |
| 2023 | The Role of Gender in Students' Privacy Concerns about Learning Analytics: Evidence from five countries. René F. Kizilcec, Olga Viberg, Ioana Jivet, Alejandra Martínez-Monés, Alice Oh, Stefan Hrastinski, Chantal Mutimukwe, Maren Scheffel |
| 2023 | The Student Zipf Theory: Inferring Latent Structures in Open-Ended Student Work To Help Educators. Yunsung Kim, Chris Piech |
| 2023 | The current state of using learning analytics to measure and support K-12 student engagement: A scoping review. Melissa Bond, Olga Viberg, Nina Bergdahl |
| 2023 | TikTok as Learning Analytics Data: Framing Climate Change and Data Practices. Ha Nguyen |
| 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 |
| 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 |
| 2023 | Towards more replicable content analysis for learning analytics. Kirsty Kitto, Catherine A. Manly, Rebecca Ferguson, Oleksandra Poquet |
| 2023 | Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser |
| 2023 | Turn-taking analysis of small group collaboration in an engineering discussion classroom. Robin Jephthah Rajarathinam, Cynthia M. D'Angelo |
| 2023 | Using Teacher Dashboards to Customize Lesson Plans for a Problem-Based, Middle School STEM Curriculum. Nicole Hutchins, Gautam Biswas |
| 2023 | Using Transformer Language Models to Validate Peer-Assigned Essay Scores in Massive Open Online Courses (MOOCs). Wesley Morris, Scott A. Crossley, Langdon Holmes, Anne Trumbore |
| 2023 | Using a Webcam Based Eye-tracker to Understand Students' Thought Patterns and Reading Behaviors in Neurodivergent Classrooms. Aaron Y. Wong, Richard L. Bryck, Ryan S. Baker, Stephen Hutt, Caitlin Mills |
| 2023 | Using submission log data to investigate novice programmers' employment of debugging strategies. Qianhui Liu, Luc Paquette |
| 2023 | What do students want to know while taking massive open online courses?: Examining massive open online course students' needs based on online forum discussions from the Universal Design for Learning approach. Songhee Han, Hyangeun Ji, Zilu Jiang, Michael West, Min Liu |
| 2023 | When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors. Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger |
| 2023 | When to Intervene? Utilizing Two Facets of Temporality in Students' SRL Processes in a Programming Course. Sina Nazeri, Marek Hatala, Fatemeh Salehian Kia |