Poster & Technology Showcase
The numbers / letters below indicate your order in the Firehose Session and will help you locate your poster board or demo table location in the room. The Poster Session & Technology Showcase will be held concurrently with the Welcome Reception on Wednesday evening at 4:45 in the Segal Building Founders Hall & Room 1200-1500.
Download the Posters Program with full presentation list and room map
Printed Posters
Doctoral Consortium
- The Design of Learning Analytics to Support a Knowledge Community and Inquiry Approach to Secondary Science
- Alisa Acosta
- Digital Learning Projection: Learning state estimation from multimodal learning experiences.
- Daniele Di Mitri
- Seeking Relevance: Affordances of Learning Analytics for Self-Regulated Learning
- Tracie Farrell-Frey
- Learning Analytics in Noncognitive Domains
- Danielle Hagood
- Designing a Learning Analytics Capabilities Model
- Justian Knobbout
- The Purpose of Higher Education in the Discourse of Learning Analytics
- Leif Nelson
- Unravelling the dynamics of learning design within and between disciplines in higher education using learning analytics
- Le Quan Nguyen
- Design Guidelines for Blended Learning Environments to Support Self-regulation: Event Sequence Analysis for Investigating Learners’ Self-Regulatory Behavior.
- Stijn Van Laer
- Students’ intentions to use technology in their learning: The effects of internal and external conditions
- Alexander Whitelock-Wainwright
- Write-and-Learn: Promoting Meaningful Learning through Concept Map-Based Formative Feedback on Writing Assignments
- Ye Xiong
Research Track Printed Posters
- Student Empowerment, Awareness, and Self-Regulation through a Quantified-Self Student Tool
- Kimberly Arnold, Brandon Karcher, Casey Wright and James McKay
- A Framework For Hypothesis-Driven Approaches To Support Data-Driven Learning Analytics In Measuring Computational Thinking In Block-Based Programming
- Shuchi Grover, Marie Bienkowski, Satabdi Basu, Michael Eagle, Nicholas Diana and John Stamper
- Learning Analytics for Sensor-Based Adaptive Learning
- Albrecht Fortenbacher, Niels Pinkwart and Haeseon Yun
- Examining Motivations and Self-regulated Learning Strategies of Returning MOOCs Learners
- Bodong Chen, Yizhou Fan, Guogang Zhang and Qiong Wang
- When Learning is High Stake
- Cecilie Johanne Slokvik Hansen, Barbara Wasson, Hans Skretting, Grete Netteland and Marina Hirnstein
- Challenges and Opportunities Facing Educational Discourse Researchers
- Christopher Brooks, Stephanie Teasley and George Siemens
- Supporting Learning Analytics in Computing Education
- Daniel Olivares and Christopher Hundhausen
- Tracing physical movement during practice-based learning through Multimodal Learning Analytics
- Donal Healion, Sam Russell, Mutlu Cukurova and Daniel Spikol
- Beyond Failure: The 2nd LAK Failathon Poster
- Doug Clow, Rebecca Ferguson, Kirsty Kitto, Yong-Sang Cho, Mike Sharkey and Cecilia Aguerrebere
- Forecasting Student Outcomes at University-Wide Scale Using Machine Learning
- Drew Wham
- Utilizing Visualization and Feature Selection Methods to Identify Important Learning Objectives in a Course
- Farshid Marbouti, Heidi Diefes-Dux and Krishna Madhavan
- A Neural Network Approach for Students’ Performance Prediction
- Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada and Hiroaki Ogata
- Buying Time: Enabling Learners to become Earners with a Real-World Paid Task Recommender System
- Guanliang Chen, Daniel Davis, Markus Krause, Claudia Hauff and Geert-Jan Houben
- Best Intentions: Learner Feedback on Learning Analytics Visualization Design
- Halimat Alabi and Marek Hatala
- What does student writing tell us about their thinking on social justice?
- Heeryung Choi, Christopher Brooks and Kevyn Collins-Thompson
- The effects of a learning analytics empowered technology on the students’ arithmetic skills learning
- Inge Molenaar, Carolien Knoop-Van Campen and Fred Hasselman
- Business Intelligence (BI) for Personalized Student Dashboards
- Jody Sluijter and Marloes Otten
- Integrating Syllabus Data into Student Success Models
- Josh Gardner, Ogechi Onuoha and Christopher Brooks
- An investigation of adaptive thresholds for speech recognition scores in English language learning
- Josine Verhagen and Webb Phillips
- Topic Models to Support Instructors in MOOC Forums
- Jovita Vytasek, Alyssa Wise and Sonya Woloshen
- Large Scale Predictive Process Mining and Analytics of University Degree Courses
- Jurgen Schulte, Pedro Fernandez de Mendonca, Roberto Martinez-Maldonado and Simon Buckingham Shum
- Exploring the Measurement of Collaborative Problem Solving Using a Human-Agent Educational Game
- Kristin Stoeffler, Yigal Rosen, Alina von Davier and Amit Agrawal
- Predicting e-Textbook Adoption Based on Event Segmentation of Teachers’ Usage
- Longwei Zheng, Wei Gong and Xiaoqing Gu
- Learning from Learning Curves: Discovery of Interpretable Learning Trajectory Groups
- Lujie Chen and Artur Dubrawski
- Relevance of Learning Analytics to Measure and Support Students’ Learning in Adaptive Educational Technologies
- Maria Bannert, Inge Molenaar, Roger Azevedo, Sanna Järvelä and Dragan Gašević
- Using Item Response Theory to Generate an Item Pool for an E-Learning-System
- Markus Schweighart
- Reproducibility of Findings from Educational Big Data: A Preliminary Study
- Misato Oi, Masanori Yamada, Fumiya Okubo, Atsushi Shimada and Hiroaki Ogata
- Mining Knowledge Components From Many Untagged Questions
- Neil Zimmerman and Ryan Baker
- Automated Analysis of Aspects of Written Argumentation
- Noureddine Elouazizi, Gülnur Birol, Eric Jandciu, Gunilla Oberg, Ashley Welsh, Andrea Han and Alice Campbell
- How can we accelerate dissemination of knowledge and learning?: Developing an online knowledge management platform for Networked Improvement Communities
- Ouajdi Manai and Hiroyuki Yamada
- Using predictive analytics in a self-regulated learning university course to promote student success
- Rebecca Edwards, Sarah Davis, Dr. Allyson Hadwin and Dr. Todd Milford
- Cooking with Learning Analytics Recipes
- Roope Jaakonmäki, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, Michael Kickmeier-Rust and Ivana Marenzi
- Automating Student Survey Reports in Online Education for Faculty and Instructional Designers
- Sean Burns and Kimberley Corwin
- Students’ Emotional Self-Labels for Personalized Models
- Sinem Aslan, Eda Okur, Nese Alyuz, Sinem Emine Mete, Ece Oktay, Utku Genc and Asli Arslan Esme
- An Automatic Approach for Discovering Skill Relationship from Learning Data
- Tak-Lam Wong, Haoran Xie, Fu Lee Wang, Chung Keung Poon and Di Zou
- Discourse Analysis to Improve the Effective Engagement of MOOC Videos
- Thushari Atapattu and Katrina Falkner
- Understanding the relationship between technology use and cognitive presence in MOOCs
- Vitomir Kovanović, Srećko Joksimović, Oleksandra Poquet, Thieme Hennis, Shane Dawson, Dragan Gašević, Pieter de Vries, Marek Hatala and George Siemens
- Video Annotation Tool for Learning Job Interview
- Yoshitomo Yaginuma, Masako Furukawa and Tsuneo Yamada
- A Systematic Review of Studies on Predicting Student Learning Outcomes Using Learning Analytics
- Xiao Hu, Christy W.L. Cheong, Wenwen Ding and Michelle Woo
- Data-Assisted Instructional Video Revision via Course-Level Exploratory Video Retention Analysis
- Chi-Un Lei, Donn Gonda, Xiangyu Hou, Elizabeth Oh, Xinyu Qi, Tyrone T.O. Kwok, Yip-Chun Au Yeung and Ray Lau
Practitioner Track Technology Showcase
- Using Learning Analytics to Improve the Design of a Blended Course
- Matt Farrell
- Data-Supported Learning Design: A customer care training example
- Tanya Dorey-Elias
- Relationships Between Digital Measures of Student Engagement and Exam Scores: Is the LMS Enough?
- Perry Samson, Alex Czarnik and Melissa Gross
Powered Posters / Demos
Practitioner Track Technology Showcase
A. Piloting Learning Analytics to Support Differentiated Learning through LearningANTS
- Edna Chan, Say-Beng Lai, May Lim, Ying-Ying Soh and Ah-Choo Tan-Yeoh
B. Competency Map
- Jeff Grann
C. Jupyter Notebooks at Scale
- Amory Schlender and Kara Behnke
D. Measuring Learner Engagement
- Sean Yo, Amrita Thakur and Mitchell Deleplanque
E. M2B System: A Digital Learning Platform for Traditional Classrooms in University
- Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada, Misato Oi, Fumiya Okubo, Masanori Yamada and Kentaro Kojima
F. OUAnalyse: Scalable Learning Analytics at The Open University
- Martin Hlosta, Zdenek Zdrahal, Jakub Kužílek and Michal Huptych
G. Identifying Non-Regulators: Designing and Deploying Tools that Detect Self-Regulation Behaviors
- Mary Pilgrim, James Folkestad and Ben Sencindiver
Research Track Powered Posters
H. New Features in Wikiglass, A Learning Analytic Tool for Visualizing Collaborative Work on Wikis
- Xiao Hu, Chengrui Yang, Chen Qiao, Xiaoyu Lu and Samuel Chu
I. An Outcome-based Dashboard for Moodle and Open EdX
- Xiao Hu, Xiangyu Hou, Chi-Un Lei, Chengrui Yang and Tzi Dong Jeremy Ng
J. Using Learning Analytics in Iterative Design of a Digital Modeling Tool
- David Quigley, Conor McNamara and Tamara Sumner
K. Ambient Analytics: Reflecting Data in Educational Spaces
- Tushar Kochgavay, Christopher Brooks, Elijah Sattler and Evan Brisita
L. What Are Visitors Up To? Helping Museum Facilitators Know What Visitors are Doing
- Vishesh Kumar, Mike Tissenbaum and Matthew Berland
M. MORPH: Supporting the Integration of Learning Analytics at Institutional Level
- Zoran Jeremic, Vive Kumar and Sabine Graf