LAK 2014 Conference Program & Schedule

Conference Program

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Keynote. Prof Art GraeserScaling Up Learning by Communicating with AutoTutor, Trialogs, and Pedagogical Agents

Keynote. Prof. Nancy LawIs Learning Analytics a Disruptive Innovation?

Keynote A/Prof Scott Klemmer Design at Large

Time

Day 1

Mar/26/2014

Day 2

Mar/27/2014

Day 3

Mar/28/2014

7.00-8.00am

Breakfast

8-9.15am

Keynote. Prof Art Graeser Scaling Up Learning by Communicating with AutoTutor, Trialogs, and Pedagogical Agents Keynote. Prof. Nancy Law Is Learning Analytics a Disruptive Innovation? Keynote A/Prof Scott Klemmer Design at Large

9.15-9.30am

Break

9.30-10.45am

1A. Discussion with keynote speaker 5A. Discussion with keynote speaker 9A. Discussion with keynote speaker
1B. Process Mining 5B. MOOCs 9B. Discourse and Argumentation

10.45-12pm

2A. Panel. Setting Learning Analytics in Context: Overcoming the Barriers to Large-Scale Adoption 6A. Panel. Learning Analytics for the Social Media Age 10A. Panel: Building Institutional Capacities and Competencies for Systemic Learning Analytics Initiatives
2B. Predictive models and recommendations 6B. Learning Analytics for “at risk” students 10B. Who we are and who we want to be

12-1pm

Lunch

Lunch (SoLAR Annual General Meeting)

Closing session

1-1.30pm

Lunch on your own

1.30-3pm

3A. Alternative Analytics 7A. Text analytics and collaborative environments
3B. Learning Mathematics 7B. Institutional Perspectives

3-3.15pm

Break

3.15-4.30pm

4. Poster Session Introduction, followed by Poster Session 8A. Analysis of Resource use in LMS
8B. Learning Analytics and Learning Design

4.30-5.30pm

Reception

6pm

Conference Dinner at the Eiteljorg Museum of American Indians and Western Art

Wednesday March 26 2014

7:00am-8:00am  Breakfast

8.00am-8.10am Conference inauguration

8.10am-9.15am Keynote: Prof. Art Graesser. Scaling Up Learning by Communicating with AutoTutor, Trialogs, and Pedagogical Agents

9.15am-9.30am Break

9.30am-10.45am Parallel Sessions

Session 1A

    • Discussion with the keynote speaker.

Session 1B: Process Mining

    • Formative Assessment Method of Real-world Learning by Integrating Heterogeneous Elements of Behavior, Knowledge, and the Environment. Masaya Okada, Masahiro Tada (Full Paper).
    • Clustering for improving Educational Process Mining. Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo, Miguel Sánchez-Santillán (Short Paper).

10.45am-12pm Parallel Sessions

Session 2A: Panel

    • Setting Learning Analytics in Context: Overcoming the Barriers to Large-Scale Adoption. Rebecca Ferguson, Doug Clow, Leah Macfadyen, Shane Dawson, Alfred Essa, Shirley Alexander

Session 2B: Predictive Models and Recommendations

    • Customized Course Advising: Investigating Engineering Student Success with Incoming Profiles and Patterns of Concurrent Course Enrollment. SungJin Nam, Steven Lonn, Thomas Brown, Cinda-Sue Davis, Darryl Koch (Full Paper).
    • Explaining Predictive Models to Learning Specialists using Personas. Christopher Brooks, Jim Greer (Short paper).
    • Temporal Learning Analytics for Computer Based Testing. Zacharoula K. Papamitsiou, Vasileios Terzis, Anastasios A. Economides (Short Paper)

12pm-1.30pm Lunch break

1:30pm-3pm Parallel Sessions

Session 3A: Alternative Analytics

    • Sleepers’ lag – study on motion and attention. Mirko Raca, Roland Tormey, Pierre Dillenbourg (Full Paper).
    • Clustering of Design Decisions in Classroom Visual Displays. Ma. Victoria Almeda, Peter Scupelli, Ryan Baker, Mimi Weber, Anna Fisher (Short Paper)
    • Data Wranglers: Human interpreters to help close the feedback loop. Doug Clow (Short Paper).
    • Toward Unobtrusive Measurement of Reading Comprehension Using Low-Cost EEG. Yueran Yuan, Kai-Min Chang, Jessica Nelson Taylor, Jack Mostow (Short Paper)

Session 3B: Learning Mathematics

    • Learning Analytics in CSCL with a Focus on Assessment: An Exploratory Study of Activity Theory-Informed Cluster Analysis. Wanli Xing, Bob Wadholm, Sean Goggins (Full Paper).
    • On Using Markov Chain to Evidence the Learning Structures and Difficulty Levels of One Digit Multiplication. Behnam Taraghi, Martin Ebner, Anna Saranti, Martin Schön (Short Paper).
    • Context Personalization, Preferences, and Performance in an Intelligent Tutoring System for Middle School Mathematics. Stephen Fancsali, Steven Ritter (Short Paper).
    • Interaction Design for Improved Analytics. Maria Mendiburo, Brian Sulcer, Ted Hasselbring (Short Paper).

3.00pm-3.15pm Break

3.15pm-4.30pm Session 4: Poster Session


Thursday March 27 2014

7:00am-8:00am  Breakfast

8.00am-8.10am Conference announcements

8.10am-9.15am Keynote: Prof. Nancy Law. Is Learning Analytics a Disruptive Innovation?

9.15am-9.30am Break

9.30am-10.45am Parallel Sessions

Session 5A

    • Discussion with the keynote speaker.

Session 5B: MOOCs

    • Visualizing patterns of student engagement and performance in MOOCs. Carleton Coffrin, Linda Corrin, Paula de Barba, Gregor Kennedy (Full Paper).
    • Small to Big Before Massive: Scaling up Participatory Learning Analytics. Daniel Hickey, Tara Kelly, Xinyi Shen (Short Paper).
    • Success, activity and drop-outs in MOOCs. An explorative study on the UNED COMA courses. Jose Luis Santos, Joris Klerkx, Erik Duval, David Gago, Luis Rodriguez (Short Paper).

10.45pm-12pm Parallel Sessions

Session 6A: Panel

    • Learning Analytics for the Social Media Age. Caroline Haythornthwaite, Anatoliy Gruzd, Christopher Andrew Paulin, Rafa Absar, Michael Huggett

Session 6B: Learning Analytics for “at risk” students

    • Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Retention. Everaldo Aguiar, Nitesh Chawla, Jay Brockman, George Alex Ambrose, Victoria Goodrich (Full Paper, Best paper award candidate).
    • Perceptions and Use of an Early Warning System During a Higher Education Transition Program. Stephen Aguilar, Steven Lonn, Stephanie Teasley (Short paper).
    • Modest analytics: using the index method to identify students at risk of failure. Tim Rogers, Cassandra Colvin, Belinda Chiera (Short Paper).

12pm-1.30pm Lunch break (SoLAR Annual General Meeting)

1:30pm-3pm Parallel Sessions

Session 7A: Text analytics and collaborative environments

    • Analytics of the Effects of Video Use and Instruction to Support Reflective Learning. Dragan Gasevic, Negin Mirriahi, Shane Dawson (Full Paper).
    • Peer Assessment Based on Ratings in a Social Media Course. Andrii Vozniuk, Adrian Holzer, Denis Gillet (Short Paper).
    • Collaborative Spatial Classification. Eric Coopey, R. Benjamin Shapiro, Ethan Danahy (Short Paper).
    • Assessing Elementary Students’ Science Competency with Text Analytics. Samuel Leeman-Munk, James Lester, Eric Wiebe (Short Paper).

Session 7B: Institutional Perspectives

    • Techniques for Data-Driven Curriculum Analysis. Gonzalo Mendez, Xavier Ochoa, Katherine Chiluiza (Full Paper, Best paper award candidate).
    • The Impact of Learning Analytics on the Dutch Education System. Hendrik Drachsler, Slavi Stoyanov, Marcus Specht (Short Paper).
    • An Exercise in Institutional Reflection: The Learning Analytics Readiness Instrument (LARI). Kimberly E. Arnold, Steven Lonn, Matthew D. Pistilli (Short Paper).
    • Competency Map: Visualizing Student Learning to Promote Student Success. Jeff Grann, Deborah Bushway (Short Paper).

3.00pm-3.15pm Break

3.15pm-4.30pm Parallel Sessions

Session 8A: Analysis of Resource use in LMS

    • Analysis of Dynamic Resource Access Patterns in a Blended Learning Course. Tobias Hecking, Sabrina Ziebarth, H. Ulrich Hoppe (Full Paper).
    • Analyzing the Log Patterns of Adult Learners in LMS Using Learning Analytics. Il-Hyun Jo, Dongho Kim, Meehyun Yoon (Short Paper).
    • Practice Exams Make Perfect: Incorporating Course Resource Use into an Early Warning System. Richard Waddington, Sungjin Nam (Short Paper).

Session 8B: Learning Analytics and Learning Design

    • Educational Data Sciences -– Framing Emergent Practices for Analytics of Learning, Organizations, and Systems. Philip Piety, Daniel Hickey, Mj Bishop (Full Paper).
    • Designing Pedagogical Interventions to Support Student Use of Learning Analytics. Alyssa Wise (Full Paper).
    • A Cognitive Processing Framework for Learning Analytics. Andrew Gibson, Kirsty Kitto, Jill Willis (Short Paper).

6pm Conference Dinner at the Eiteljorg Museum of American Indians and Western Art


Friday March 28 2014

7:00am-8:00am  Breakfast

8.00am-8.10am Conference announcements

8.10am-9.15am Keynote: A/Prof. Scott Klemmer. Design at large

9.15am-9.30am Break

9.30am-10.45am Parallel Sessions

Session 9A

    • Discussion with the keynote speaker.

Session 9B: Discourse and Argumentation

    • Statistical Discourse Analysis of Online Discussions: Informal Cognition, Social Metacognition and Knowledge Creation. Ming Chiu, Nobuko Fujita (Full Paper).
    • Uncovering what matters: Analyzing sequential relations among contribution types in knowledge-building discourse. Bodong Chen, Monica Resendes (Short Paper).

10.45pm-12pm Parallel Sessions

Session 10A: Panel

    • Building Institutional Capacities and Competencies for Systemic Learning Analytics Initiatives. Kimberly Arnold, Grace Lynch, Daniel Huston, Christopher Olsen, Linda Jorn, Lorna Wong, Clare Huhn, Daniel Voeks, Andrew Taylor

Session 10B: Who we are & who we want to be

    • Current State and Future Trends: a Citation Network Analysis of the Learning Analytics Field. Shane Dawson, Dragan Gasevic, George Siemens, Srecko Joksimovic (Full Paper, Best paper award candidate).
    • Teaching the Unteachable: On The Compatibility of Learning Analytics and Humane Education. Timothy D. Harfield (Short paper).
    • Establishing an Ethical Literacy for Learning Analytics. Jenni Swenson (Short Paper).

12-1pm Closing Session

1pm Lunch on your own