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Vol. 1 No. 3 (2014): Widening the Field and Sparks of the Future
Vol. 1 No. 3 (2014): Widening the Field and Sparks of the Future
Published:
2015-02-11
Editorial
Widening the Field and Sparks of the Future
Negin Mirriahi, Shane Dawson, Dragan Gasevic, Philip D. Long
1-3
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Special section: LAK'14 selected and invited papers
Learning Analytics Research, Theory and Practice: Widening the Discipline
Abelardo Pardo, Stephanie Teasley
4-6
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Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence
Everaldo Aguiar, G. Alex Ambrose Ambrose, Nitesh V. Chawla, Victoria Goodrich, Jay Brockman
7-33
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Analysis of Dynamic Resource Access Patterns in Online Courses
Tobias Hecking, Sabrina Ziebarth, Heinz Ulrich Hoppe
34-60
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Statistical Discourse Analysis: A method for modeling online discussion processes
MIng Ming Chiu, Nobuko Fujita
61-83
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Curricular Design Analysis: A Data-Driven Perspective
Gonzalo Mendez, Xavier Ochoa, Katherine Chiluiza, Bram de Wever
84-119
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Setting Learning Analytics in Context: Overcoming the Barriers to Large-Scale Adoption
Rebecca Ferguson, Leah P. Macfadyen, Doug Clow, Belinda Tynan, Shirley Alexander, Shane Dawson
120-144
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Special section: Sparks of the learning analytics future (LASI 2014)
Introduction into Sparks of the Learning Analytics Future
Mykola Pechenizkiy, Dragan Gasevic
145-149
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Characterizing User Behaviors and Resulting Products in an Online Educational Community: A Comparison between Novices and Elders
Min Yuan, Mimi Recker
150-153
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An Adaptive Model of Student Performance Using Inverse Bayes
Charles Lang
154-156
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Leveraging MSLQ Data for Predicting Students Achievement Goal Orientations
Liaqat Ali, Marek Hatala, Dragan Gašević, Philip H. Winne
157-160
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Constructing Programming Tests from an Item Pool: Pushing the Limits of Student Knowledge using Assessment and Learning Analytics
Vladimir Ivančević
161-164
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Temporal Learning Analytics for Adaptive Assessment
Zacharoula Papamitsiou, Anastasios A. Economides
165-168
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Early Prediction of Student Dropout and Performance in MOOCs using Higher Granularity Temporal Information
Cheng Ye, Gautam Biswas
169-172
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Mobile Adaptive Communication Support for Vocabulary Acquisition
Carrie Demmans Epp
173-175
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Classroom Social Signal Analysis
Mirko Raca, Pierre Dillenbourg
176-178
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eWorkbooks for Mathematics: Mapping the Independent Learning Experiences of Elementary Students with Learning Disabilities
Tara L Kaczorowski, Sharon Raimondi
179-182
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Modeling Learners’ Cognitive, Affective, and Social Processes through Language and Discourse
Nia Marcia Maria Dowell, Arthur C. Graesser
183-186
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Goffman’s front stage and backstage behaviors in online education
Dawn Marie Gilmore
187-190
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Learning Analytics for Networked Learning Models
Srecko Joksimovic, Dragan Gasevic, Marek Hatala
191-194
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Learning Analytics for Communities of Inquiry
Vitomir Kovanovic, Dragan Gasevic, Marek Hatala
195-198
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Learning Dashboards
Sven Charleer, Joris Klerkx, Erik Duval
199-202
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A Longitudinal Study on Learner Career Advancement in MOOCs
Yuan Wang, Luc Paquette, Ryan Baker
203-206
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Labour Market Driven Learning Analytics
Vladimer Birondo Kobayashi, Stefan Mol, Gabor Kismihok
207-210
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Hot Spot Papers
Critical Factors In Data Governance For Learning Analytics
Noureddine Elouazizi
211-222
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Connecting Analytics and Curriculum Design: Process and Outcomes of Building a Tool to Browse Data Relevant to Course Designers
Robert L. Dunbar, Molly J. Dingel, Xavier Prat-Resina
223-243
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