Main Conference Schedule

Wednesday 6 March


07:30 – 08:30 Arizona Ballroom Breakfast
08:30 – 09:00 Senita A Welcome & Introductions
09:00 – 10:00 Senita A Keynote: Prof. Ryan Baker (University of Pennsylvania, USA)
10:00 – 10:30 Senita B&C Coffee Break
10:30 – 12:00 Parallel Sessions 1
  Keynote Q&A and Panel Session 1A
10:30 – 11:00. Session 1A1 Q&A Keynote
Prof. Ryan Baker (University of Pennsylvania, USA)
11:00 – 12:00. Session 1A2 Panel 1: Design and analysis strategies that promote inclusion and increase access.
  Novel Devices. Session 1B
30 minutes [Best Full Research Paper Nomination] On multi-device use: using technological modality profiles to explain differences in students’ learning; Varshita Sher, Marek Hatala and Dragan Gasevic.
30 minutes Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now?; Yi Han Victoria Chua, Justin Dauwels and Seng Chee Tan.
20 minutes “I spent more time with that team”: Making spatial pedagogy visible using positioning sensors; Roberto Martinez-Maldonado.
  Curriculum. Session 1C
30 minutes A study on curriculum planning and its relationship with academic performance in undergraduate Institutions; Sara Morsy and George Karypis.
30 minutes Goal-based course recommendation; Weijie Jiang, Zach Pardos and Qiang Wei.
20 minutes [Best Short Research Paper Nomination] Semi-automatic generation of intelligent curricula to facilitate learning analytics; Angel Fiallos and Xavier Ochoa.
  Multimodal Analytics. Session 1D
30 minutes Read between the lines: an annotation tool for multimodal data for learning; Daniele Di Mitri, Jan Schneider, Roland Klemke, Marcus Specht and Hendrik Drachsler.
30 minutes Multichannel data for understanding cognitive affordances during complex problem solving; Charlotte Larmuseau, Pieter Vanneste, Piet Desmet and Fien Depaepe.
20 minutes Cross-platform analytics: a step towards personalization and adaptation in education; Katerina Mangaroska, Boban Vesin and Michail Giannakos.
12:00 – 13:00 Arizona Ballroom Lunch
13:00 – 14:30 Parallel Sessions 2
Machine Learning I. Session 2A
30 minutes Grade prediction with uncertainty estimation using Bayesian deep learning; Qian Hu and Huzefa Rangwala.
30 minutes user2code2vec: embeddings for profiling students based on distributional representations of source code; David Azcona, Piyush Arora, Sharon Hsiao and Alan Smeaton.
20 minutes Clustering analysis reveals authentic science inquiry trajectories among undergraduates; Melanie Peffer, David Quigley and Mehrgan Mostowfi.
Reading Analytics. Session 2B
20 minutes Can background music facilitate learning? Preliminary results on reading comprehension; Xiao Hu, Fanjie Li and Runzhi Kong.
20 minutes Would you? Could you? On a tablet? Analytics of children’s ebook reading; Beata Beigman Klebanov, Anastassia Loukina, Nitin Madnani, John Sabatini and Jennifer Lentini.
20 minutes Comprehension factor analysis: modeling student’s reading behaviour; Khushboo Thaker, Paulo Carvalho and Ken Koedinger.
20 minutes Are you talking to me? Multi-dimensional language analysis of explanations during reading; Laura Allen, Caitlin Mills, Cecile Perret and Danielle McNamara.
Games and Learning. Session 2C
30 minutes [Best Full Research Paper Nomination] Exploring the subtleties of agency and indirect control in digital learning games; Erik Harpstead, Huy Nguyen, J Elizabeth Richey and Bruce Mclaren.
30 minutes Identification of sample comparability issues during the iterative design of game-based cognitive assessments; Rebecca Kantar, David Laing, Matthew Emery, Sonia Doshi, Yao Xiong and Erica Snow.
20 minutes Differences in student trajectories via filtered time series analysis in an immersive virtual world; Joseph Reilly and Chris Dede.
14:30 – 15:00 Coffee Break
15:00 – 16:30 Parallel Sessions 3
Machine Learning II. Session 3A
30 minutes Effective feature learning with unsupervised learning for improving the predictive models in massive open online courses; Mucong Ding, Kai Yang, Dit-Yan Yeung and Ting-Chuen Pong.
30 minutes Transfer learning using representation learning in massive open online courses; Mucong Ding, Yanbang Wang, Erik Hemberg and Una-May O’Reilly.
20 minutes Exploring programming semantic analytics with deep learning models; Yihan Lu and Sharon Hsiao
Dialogue & Engagement. Session 3B
30 minutes Social comparison in MOOCs: perceived SES, opinion, and message formality; Heeryung Choi, Nia Dowell, Christopher Brooks and Stephanie Teasley.
30 minutes Analysing discussion forum data: a replication study avoiding data contamination; Elaine Farrow, Johanna Moore and Dragan Gasevic.
20 minutes Exploring learner engagement patterns in teach-outs: using topic, sentiment and on-topicness to reflect on pedagogy; Wenfei Yan, Nia Dowell, Caitlin Holman, Steve Welsh, Heeryung Choi and Christopher Brooks.
Computational Methods. Session 3C
30 minutes DiAd: domain adaptation for learning at scale; Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat and Dan Roth.
30 minutes The timeliness deviation: a novel approach to evaluate educational recommender systems in closed-course environments; Christopher Krauss, Agathe Merceron and Stefan Arbanowski.
20 minutes Comparison of ranking and ratings scales in online peer assessment: simulation approach; Dmytro Babik, Scott Stevens and Andrew Waters.
16:30 – 17:15 Arizona Ballroom Speed Mentoring & Networking Session
18:00 – 21:00 Conference Dinner at the Desert Botanical Garden
Thursday 7 March


07:30 – 08:30 Arizona Ballroom Breakfast
08:30 – 09:00 Senita A Introductions and housekeeping
09:00 – 10:00 Senita A Keynote: Professor Lise Getoor (University of California Santa Cruz, USA)
10:00 – 10:30 Senita B&C Coffee Break
10:30 – 12:00 Parallel Sessions 4
  Keynote Q&A and Panel. Session 4A
10:30 – 11:00. Session 4A1 Q&A Keynote
Professor Lise Getoor (University of California Santa Cruz, USA)
11:00 – 12:00. Session 4A2 Panel 2: The future of AI in education: From knowledge-based systems to data-driven approaches
  Text Analytics I. Session 4B
30 minutes Contextualizable learning analytics design: a generic model, and writing analytics evaluations; Antonette Shibani, Simon Knight and Simon Buckingham Shum.
30 minutes [Best Practitioner Paper Nomination] Evaluating remedial writing and writing placement in a large public university; Sattik Ghosh and Meryl Motika
20 minutes Topic development to support revision feedback; Jovita Vytasek, Alexandra Patzak and Philip Winne.
  Predictive and Privacy. Session 4C
30 minutes [Best Full Research Paper Nomination] Evaluating the fairness of predictive student models through slicing analysis; Josh Gardner, Christopher Brooks and Ryan Baker.
30 minutes Learning analytics at the intersections of student trust, disclosure and benefit; Sharon Slade, Paul Prinsloo and Mohammad Khalil.
20 minutes Predicting the well-functioning of learning groups under privacy restrictions; Tobias Hecking, Dorian Doberstein and H. Ulrich Hoppe.
  Dashboards I. Session 4D
30 minutes Exploring students’ sensemaking of learning analytics dashboards: does frame of reference make a difference?; Lisa Lim, Shane Dawson, Srecko Joksimovic and Dragan Gasevic.
30 minutes Improving dashboard usability case study; Bradley Coverdale and Matthew Hendrickson
20 minutes Top concept networks of professional education reflections; Alyssa Wise and Yi Cui.
12:00 – 13:30 Arizona Ballroom Lunch and SoLAR Annual General Meeting
13:30 – 14:30 Parallel Sessions 5
Feedback and Measurement. Session 5A
20 minutes Different response-based reedback in Mathematics: the case of symbolic and textual messages; Tomer Gal and Arnon Hershkovitz.
20 minutes Validating the use of LMS-derived rubric structural features to facilitate automated measurement of rubric quality; Philip Arcuria, William Morgan and Thomas Fikes.
20 minutes Measuring knowledge gaps in student responses by mining networked representations of texts; Chen Qiao and Xiao Hu.
Dashboards II. Session 5B
30 minutes Motivated information seeking and graph comprehension in relation to help-seeking and comparison among college students; Stephen Aguilar and Clare Baek.
30 minutes LAView: Learning Analytics Dashboard Towards Evidence-based Education; Rwitajit Majumdar, Arzu Akçapınar, Gökhan Akçapınar, Brendan Flanagan and Hiroaki Ogata
Logging Activity. Session 5C
30 minutes Using detailed access trajectories for learning behavior analysis; Yanbang Wang, Nancy Law, Erik Hemberg and Una-May O’Reilly.
30 minutes The validity and utility of activity logs as a measure of student engagement; Benjamin Motz, Joshua Quick, Noah Schroeder, Jordon Zook and Matthew Gunkel.
Text Analytics II. Session 5D
30 minutes [Best Full Research Paper Nomination] Towards enabling feedback on rhetorical structure with neural sequence models; James Fiacco, Elena Cotos and Carolyn Rose.
30 minutes Language as thought: using Natural Language Processing to model noncognitive traits that predict college success; Cathlyn Stone, Abigail Quirk, Margo Gardener, Stephen Hutt, Angela Duckworth and Sidney D’Mello.
14:30 – 15:00 Senita B&C Coffee Break
15:00 – 16:30 Parallel Sessions 6
Intelligent Tutoring Systems I. Session 6A
30 minutes Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms [AIED Best Paper]
20 minutes Square it up! How to model step duration when predicting student performance; Irene-Angelica Chounta and Paulo Carvalho.
20 minutes Fairer but not fair enough: on the equitability of knowledge tracing; Shayan Doroudi and Emma Brunskill.
20 minutes Deep knowledge tracing and engagement with MOOCs; David Lang, Klint Kanopka and Kritphong Mongkhonvanit.
Design. Session 6B
30 minutes Towards value-sensitive learning analytics design; Bodong Chen and Haiyi Zhu.
30 minutes Student centred design of a learning analytics system; Ed de Quincey, Chris Briggs, Theocharis Kyriacou and Richard Waller.
30 minutes Implementing Learning Analytics: Instructor Perspectives; Julie Wei, Fred Culter, Leah Macfadyen and Sanam Shirazi
Sequences. Session 6C
30 minutes The impact of an online tutoring program for algebra readiness on mathematics achievements: results of a randomized experiment; Sahba Akhavan Niaki, Clint Pazhayidam George, George Michailidis and Carole Beal.
30 minutes UPM: Discovering course enrollment sequences associated with success; Asmaa Elbadrawy and George Karypis.
30 minutes Affect sequences and learning in Betty’s Brain; Alexandra Andres, Jaclyn Ocumpaugh, Ryan Baker, Stefan Slater, Luc Paquette, Yang Jiang, Nigel Bosch, Anabil Munshi, Allison Moore and Gautam Biswas.
Machine Learning III. Session 6D
30 minutes Refusing to try: characterizing early stopout on student assignments; Anthony F. Botelho, Ashvini Varatharaj, Eric Vaninwegen and Neil Heffernan.
30 minutes An analysis of student representation, representative features and classification algorithms to predict degree dropout.; Rubén Francisco Manrique, Bernardo Pereira Nunes, Olga Marino, Terhi Nurmikko-Fuller and Marco Antonio Casanova.
30 minutes The impact of student opt-out on educational predictive models; Warren Li, Christopher Brooks and Florian Schaub.
16:30 – 17:30 Arizona Ballroom Networking Sessions
18:00 – 19:30 Old Main Lawn Poster & Demo and Outdoor Reception
Friday 8 March


07:30 – 08:30 Arizona Ballroom Breakfast
08:30 – 09:00 Senita A Introduction
09:00 – 10:00 Senita A Keynote: Professor Shirley Alexander (University of Technology Sydney, Australia)
10:00 – 10:30 Senita B&C Coffee Break
10:30 – 12:00 Parallel Sessions 7
  Keynote Q&A and Panel. Session 7A
10:30 – 11:00. Session 7A1 Q&A Keynote
Professor Shirley Alexander (University of Technology Sydney,Australia)
11:00 – 12:00. Session 7A2 Panel 3: Institutional principles for handling data responsibly.
  Classroom & Collaboration. Session 7B
20 minutes [Best Short Research Paper Nomination] Where you are, not what you see: the impact of learning environment on mind wandering and material retention; Trish Varao Sousa, Caitlin Mills and Alan Kingstone.
20 minutes DEBE feedback for large lecture classroom analytics; Ritayan Mitra and Pankaj Chavan
20 minutes Modeling gender in intra and interpersonal dynamics during online learning collaborative interactions; Yiwen Lin, Nia Dowell, Andrew Godfrey, Heeryung Choi and Christopher Brooks.
20 minutes Predicting student success in communication skills learning scenarios with virtual humans; Stephanie Carnell, Benjamin Lok, Melva James and Jonathan Su.
  Implementation. Session 7C
20 minutes Challenges on implementing learning analytics over countrywide K-12 data; Luiz Antonio Macarini, Cristian Cechinel, Henrique Lemos dos Santos, Xavier Ochoa, Virgínia Rodés, Guillermo Ettlin Alonso, Alén Pérez Casas and Patricia Díaz.
30 minutes Increasing the impact of learning analytics; Shane Dawson, Srecko Joksimovic, Sasha Poquet and George Siemens.
30 minutes Evaluating a learning analytics research community: a framework to advance cultural change; Linda Shepard, George Rehrey, Dennis Groth and Amberly Reynolds
  Self-Regulated Learning. Session 7D
20 minutes Utilizing learning analytics to map students’ self-reported study strategies to click behaviors in STEM Courses; Fernando Rodriguez, Renzhe Yu, Jihyun Park, Mariela Janet Rivas, Mark Warschauer and Brian K. Sato.
30 minutes [Best Full Research Paper Nomination] Analytics of learning strategies: associations with academic performance and feedback; Wannisa Matcha, Dragan Gasevic, Nora’Ayu Ahmad Uzir, Jelena Jovanovic and Abelarado Pardo.
30 minutes Towards hybrid human-system regulation: understanding children’s SRL support needs in blended classrooms; Inge Molenaar, Anne Horvers and Ryan Baker.
12:00 – 13:00 Arizona Ballroom Lunch
13:00 – 14:30 Parallel Sessions 8
Intelligent Tutoring Systems II. Session 8A
30 minutes Investigating the usage patterns of an online tutoring platform; Sahba Akhavan Niaki, Clint Pazhayidam George, George Michailidis and Carole Beal.
30 minutes Knowledge query network for knowledge tracing: how knowledge interacts with skills; Jinseok Lee and Dit-Yan Yeung.
30 minutes Understanding teaching and learning practices of an online adaptive mathematics tutoring platform; Jean Yin Chiun Phua, Evan Min-Yang Yeo and Shannalyn Jia Yun Ng
Educational Theory. Session 8B
30 minutes Counting clicks is not enough: validating a theorized model of engagement in learning analytics; Ed Fincham, Alexander Whitelock-Wainwright, Vitomir Kovanovic, Srecko Joksimovic, Jan-Paul van Staalduinen and Dragan Gasevic.
30 minutes Introducing meaning to clicks: towards traced-measures of self-efficacy and cognitive load; Jelena Jovanovic, Dragan Gasevic, Abelardo Pardo, Shane Dawson and Alexander Whitelock-Wainwright.
30 minutes [Best Practitioner Paper Nomination] Reflections of visual form learning analytics spaced retrieval practice activity; Kelly Mckenna and James Folkestad
Campus Experience. Session 8C
30 minutes Integrated closed-loop learning analytics scheme in a first year experience Course; Munira Syed, Trunojoyo Anggara, Alison Lanski, Xiaojing Duan, G. Alex Ambrose and Nitesh V. Chawla.
30 minutes Descriptive and predictive modeling of student achievement, satisfaction, and mental health for data-driven smart connected campus life service; Joon Heo, Hyoungjoon Lim, Sung Bum Yun, Sungha Ju and Sangyoon Park.
30 minutes Empowering tutors with big data learning analytics; Uma Vijh, Josine Verhagen, Webb Phillips and Ji An
Design and Development. Session 8D
30 minutes Beyond A/B testing: sequential randomization for developing interventions in scaled digital learning environments; Timothy Necamp, Joshua Gardner and Christopher Brooks.
30 minutes Developing an English learner corpus for materials creation and evaluation; Amanda Hilliard
30 minutes Designing a digital jigsaw game based measurement of collaborative problem-solving skills; Pravin Chopade, David Edwards and Saad Khan
14:30 – 15:30 Closing Session

Important Dates

All deadlines are 23:59 GMT-11

Submission deadline for main track categories (Research, Practitioners, Workshops, Tutorials and Doctoral Consortium) 1 October 2018
Notification of acceptance for Workshops and Tutorials 15 October 2018
Accepted Workshop Open for Submission 29 October 2018
Notification of acceptance for Research, Practitioners, Doctoral Consortium 19 November 2018
Submission deadline for Posters/Demos and Workshop Papers 3 December 2018
Camera-ready papers for ACM Proceedings: Full Research Papers and Short Research Papers 17 December 2018
Notification of Acceptance for Posters/Demos and Workshop Papers 4 January 2019
Early-bird registration closes 8 January 2019
Camera-ready papers for Companion Proceedings 4 February 2019
LAK19, Tempe, Arizona 4-8 March 2019