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9th LAK 2019: Tempe, AZ, USA
- Proceedings of the 9th International Conference on Learning Analytics & Knowledge, LAK 2019, Tempe, AZ, USA, March 4-8, 2019. ACM 2019, ISBN 978-1-4503-6256-6
Novel Devices
- Varshita Sher
, Marek Hatala, Dragan Gasevic:
On multi-device use: Using technological modality profiles to explain differences in students' learning. 1-10 - Yi Han Victoria Chua
Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now? 11-20 - Roberto Martínez Maldonado:
"I Spent More Time with that Team": Making Spatial Pedagogy Visible Using Positioning Sensors. 21-25
Curriculum
- Sara Morsy, George Karypis
A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree. 26-35 - Weijie Jiang
Goal-based Course Recommendation. 36-45 - Angel Fiallos
Semi-Automatic Generation of Intelligent Curricula to Facilitate Learning Analytics. 46-50
Multimodal Analytics
- Daniele Di Mitri
Read Between the Lines: An Annotation Tool for Multimodal Data for Learning. 51-60 - Charlotte Larmuseau, Pieter Vanneste, Piet Desmet, Fien Depaepe
Multichannel data for understanding cognitive affordances during complex problem solving. 61-70 - Katerina Mangaroska, Boban Vesin
Cross-Platform Analytics: A step towards Personalization and Adaptation in Education. 71-75
Machine Learning I
- Qian Hu, Huzefa Rangwala:
Reliable Deep Grade Prediction with Uncertainty Estimation. 76-85 - David Azcona, Piyush Arora, I-Han Hsiao, Alan F. Smeaton:
user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code. 86-95 - Melanie E. Peffer, David Quigley, Mehrgan Mostowfi:
Clustering Analysis Reveals Authentic Science Inquiry Trajectories Among Undergraduates. 96-100
Reading Analytics
- Xiao Hu
Can Background Music Facilitate Learning?: Preliminary Results on Reading Comprehension. 101-105 - Beata Beigman Klebanov, Anastassia Loukina, Nitin Madnani, John Sabatini
Would you?: Could you? On a tablet? Analytics of Children's eBook Reading. 106-110 - Khushboo Thaker
Comprehension Factor Analysis: Modeling student's reading behaviour: Accounting for reading practice in predicting students' learning in MOOCs. 111-115 - Laura K. Allen, Caitlin Mills, Cecile A. Perret, Danielle S. McNamara:
Are You Talking to Me?: Multi-Dimensional Language Analysis of Explanations during Reading. 116-120
Games and Learning
- Erik Harpstead
Exploring the Subtleties of Agency and Indirect Control in Digital Learning Games. 121-129 - Joseph M. Reilly, Chris Dede:
Differences in Student Trajectories via Filtered Time Series Analysis in an Immersive Virtual World. 130-134
Machine Learning II
- Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong:
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. 135-144 - Mucong Ding, Yanbang Wang
Transfer Learning using Representation Learning in Massive Open Online Courses. 145-154 - Yihan Lu, I-Han Hsiao:
Exploring Programming Semantic Analytics with Deep Learning Models. 155-159
Dialogue & Engagement
- Heeryung Choi
Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality. 160-169 - Elaine Farrow
Analysing discussion forum data: a replication study avoiding data contamination. 170-179 - Wenfei Yan, Nia Dowell, Caitlin Holman, Stephen S. Welsh, Heeryung Choi, Christopher Brooks:
Exploring Learner Engagement Patterns in Teach-Outs Using Topic, Sentiment and On-topicness to Reflect on Pedagogy. 180-184
Computational Methods
- Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat
DiAd: Domain Adaptation for Learning at Scale. 185-194 - Christopher Krauss
The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems for Closed-Courses. 195-204 - Dmytro Babik, Scott Paul Stevens, Andrew E. Waters:
Comparison of Ranking and Rating Scales in Online Peer Assessment: Simulation Approach. 205-209
Text Analytics I
- Antonette Shibani
Contextualizable Learning Analytics Design: A Generic Model and Writing Analytics Evaluations. 210-219 - Jovita M. Vytasek, Alexandra Patzak, Philip H. Winne
Topic Development to Support Revision Feedback. 220-224
Predictive and Privacy
- Josh Gardner, Christopher Brooks, Ryan Baker:
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. 225-234 - Sharon Slade, Paul Prinsloo, Mohammad Khalil
Learning analytics at the intersections of student trust, disclosure and benefit. 235-244 - Tobias Hecking, Dorian Doberstein, Heinz Ulrich Hoppe:
Predicting the Well-functioning of Learning Groups under Privacy Restrictions. 245-249
Dashboards I
- Lisa-Angelique Lim
Exploring students' sensemaking of learning analytics dashboards: Does frame of reference make a difference? 250-259 - Alyssa Friend Wise, Yi Cui:
Top Concept Networks of Professional Education Reflections. 260-264
Feedback and Measurement
- Tomer Gal, Arnon Hershkovitz:
Different Types of Response-Based Feedback in Mathematics: The case of textual and symbolic messages. 265-269 - Philip Arcuria, William Morgan, Thomas G. Fikes:
Validating the Use of LMS-Derived Rubric Structural Features to Facilitate Automated Measurement of Rubric Quality. 270-274 - Chen Qiao
Measuring Knowledge Gaps in Student Responses by Mining Networked Representations of Texts. 275-279
Dashboards II
- Stephen J. Aguilar, Clare Baek
Motivated Information Seeking and Graph Comprehension Among College Students. 280-289
Logging Activity
- Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Using Detailed Access Trajectories for Learning Behavior Analysis. 290-299 - Benjamin A. Motz
The validity and utility of activity logs as a measure of student engagement. 300-309
Text Analytics II
- James Fiacco, Elena Cotos, Carolyn P. Rosé
Towards Enabling Feedback on Rhetorical Structure with Neural Sequence Models. 310-319 - Cathlyn Stone, Abigail Quirk, Margo Gardener, Stephen Hutt
Language as Thought: Using Natural Language Processing to Model Noncognitive Traits that Predict College Success. 320-329
Intelligent Tutoring Systems I
- Irene-Angelica Chounta
Square it up!: How to model step duration when predicting student performance. 330-334 - Shayan Doroudi
Fairer but Not Fair Enough On the Equitability of Knowledge Tracing. 335-339 - Kritphong Mongkhonvanit
Deep Knowledge Tracing and Engagement with MOOCs. 340-342
Design
- Bodong Chen
Towards Value-Sensitive Learning Analytics Design. 343-352 - Ed de Quincey, Chris Briggs, Theocharis Kyriacou, Richard Waller:
Student Centred Design of a Learning Analytics System. 353-362
Sequences
- Sahba Akhavan Niaki, Clint P. George, George Michailidis, Carole R. Beal:
The Impact of an Online Tutoring Program for Algebra Readiness on Mathematics Achievements; Results of a Randomized Experiment. 363-372 - Asmaa Elbadrawy, George Karypis
UPM: Discovering Course Enrollment Sequences Associated with Success. 373-382 - Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang
Affect Sequences and Learning in Betty's Brain. 383-390
Machine Learning III
- Anthony F. Botelho, Ashvini Varatharaj, Eric G. Van Inwegen, Neil T. Heffernan:
Refusing to Try: Characterizing Early Stopout on Student Assignments. 391-400 - Rubén Manrique, Bernardo Pereira Nunes
An Analysis of Student Representation, Representative Features and Classification Algorithms to Predict Degree Dropout. 401-410 - Warren Li, Christopher A. Brooks, Florian Schaub:
The Impact of Student Opt-Out on Educational Predictive Models. 411-420
Classroom & Collaboration
- Trish L. Varao-Sousa, Caitlin Mills, Alan Kingstone:
Where You Are, Not What You See: The Impact of Learning Environment on Mind Wandering and Material Retention. 421-425 - Ritayan Mitra, Pankaj S. Chavan
DEBE feedback for large lecture classroom analytics. 426-430 - Yiwen Lin, Nia Dowell, Andrew Godfrey, Heeryung Choi, Christopher Brooks:
Modeling gender dynamics in intra and interpersonal interactions during online collaborative learning. 431-435 - Stephanie Carnell, Benjamin Lok
Predicting Student Success in Communication Skills Learning Scenarios with Virtual Humans. 436-440
Implementation
- Luiz Antonio Buschetto Macarini, Cristian Cechinel, Henrique Lemos dos Santos, Xavier Ochoa
Challenges on implementing Learning Analytics over countrywide K-12 data. 441-445 - Shane Dawson
Increasing the Impact of Learning Analytics. 446-455
Self-Regulated Learning
- Fernando Rodriguez, Renzhe Yu
Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses. 456-460 - Wannisa Matcha, Dragan Gasevic, Nora'ayu Ahmad Uzir, Jelena Jovanovic, Abelardo Pardo
Analytics of Learning Strategies: Associations with Academic Performance and Feedback. 461-470 - Inge Molenaar
Towards Hybrid Human-System Regulation: Understanding Children' SRL Support Needs in Blended Classrooms. 471-480
Intelligent Tutoring Systems II
- Sahba Akhavan Niaki, Clint P. George, George Michailidis, Carole R. Beal:
Investigating the Usage Patterns of Algebra Nation Tutoring Platform. 481-490 - Jinseok Lee, Dit-Yan Yeung:
Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills. 491-500
Educational Theory
- Ed Fincham, Alexander Whitelock-Wainwright, Vitomir Kovanovic
Counting Clicks is Not Enough: Validating a Theorized Model of Engagement in Learning Analytics. 501-510 - Jelena Jovanovic, Dragan Gasevic, Abelardo Pardo
Introducing meaning to clicks: Towards traced-measures of self-efficacy and cognitive load. 511-520
Campus Experience
- Munira Syed, Trunojoyo Anggara, Alison Lanski, Xiaojing Duan
Integrated Closed-loop Learning Analytics Scheme in a First Year Experience Course. 521-530 - Joon Heo, Hyoungjoon Lim, Sung Bum Yun, Sungha Ju, Sangyoon Park
Descriptive and Predictive Modeling of Student Achievement, Satisfaction, and Mental Health for Data-Driven Smart Connected Campus Life Service. 531-538
Design and Development
- Timothy NeCamp, Josh Gardner, Christopher Brooks:
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. 539-548
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