- Fatemeh Salehian Kia, Stephanie D. Teasley, Marek Hatala, Stuart A. Karabenick, Matthew Kay:
How patterns of students dashboard use are related to their achievement and self-regulatory engagement. LAK 2020: 340-349 - Yanghee Kim, Sachit Butail, Michael Tscholl, Lichuan Liu, Yunlong Wang:
An exploratory approach to measuring collaborative engagement in child robot interaction. LAK 2020: 209-217 - Kirsty Kitto, Nikhil Sarathy, Aleksandr Gromov, Ming Liu, Katarzyna Musial, Simon Buckingham Shum:
Towards skills-based curriculum analytics: can we automate the recognition of prior learning? LAK 2020: 171-180 - Beata Beigman Klebanov, Anastassia Loukina, John Lockwood, Van Rynald T. Liceralde, John Sabatini, Nitin Madnani, Binod Gyawali, Zuowei Wang, Jennifer Lentini:
Detecting learning in noisy data: the case of oral reading fluency. LAK 2020: 490-495 - Jakub Kuzilek, Zdenek Zdráhal, Jonas Vaclavek, Viktor Fuglik, Jan Skocilas:
Exploring exam strategies of successful first year engineering students. LAK 2020: 124-128 - David Lang, Guanling Chen, Kathy Mirzaei, Andreas Paepcke:
Is faster better?: a study of video playback speed. LAK 2020: 260-269 - Charles Lang, Charlotte Woo, Jeanne Sinclair:
Quantifying data sensitivity: precise demonstration of care when building student prediction models. LAK 2020: 655-664 - Louis Lecailliez, Brendan Flanagan, Mei-Rong Alice Chen, Hiroaki Ogata:
Smart dictionary for e-book reading analytics. LAK 2020: 89-93 - Anouschka van Leeuwen, Nikol Rummel:
Comparing teachers' use of mirroring and advising dashboards. LAK 2020: 26-34 - Fanjie Li, Xiao Hu, Ying Que:
Learning with background music: a field experiment. LAK 2020: 224-229 - Donia Malekian, James Bailey, Gregor E. Kennedy:
Prediction of students' assessment readiness in online learning environments: the sequence matters. LAK 2020: 382-391 - Wannisa Matcha, Dragan Gasevic, Jelena Jovanovic, Nora'ayu Ahmad Uzir, Chris W. Oliver, Andrew Murray, Danijela Gasevic:
Analytics of learning strategies: the association with the personality traits. LAK 2020: 151-160 - Konstantinos Michos, Charles Lang, Davinia Hernández-Leo, Detra Price-Dennis:
Involving teachers in learning analytics design: lessons learned from two case studies. LAK 2020: 94-99 - Inge Molenaar, Anne Horvers, Rick Dijkstra, Ryan S. Baker:
Personalized visualizations to promote young learners' SRL: the learning path app. LAK 2020: 330-339 - Quan Nguyen:
Rethinking time-on-task estimation with outlier detection accounting for individual, time, and task differences. LAK 2020: 376-381 - Koen Niemeijer, Remco Feskens, Georg Krempl, Jesse Koops, Matthieu J. S. Brinkhuis:
Constructing and predicting school advice for academic achievement: a comparison of item response theory and machine learning techniques. LAK 2020: 462-471 - Lu Ou, Alejandro Andrade, Rosa Alberto, Gitte van Helden, Arthur Bakker:
Using a cluster-based regime-switching dynamic model to understand embodied mathematical learning. LAK 2020: 496-501 - Zacharoula K. Papamitsiou, Michail N. Giannakos, Xavier Ochoa:
From childhood to maturity: Are we there yet? Mapping the intellectual progress in learning analytics during the past decade. LAK 2020: 559-568 - Zachary A. Pardos, Weijie Jiang:
Designing for serendipity in a university course recommendation system. LAK 2020: 350-359 - Melanie E. Peffer, David Quigley, Liza Brusman, Jennifer Avena, Jennifer Knight:
Trace data from student solutions to genetics problems reveals variance in the processes related to different course outcomes. LAK 2020: 47-52 - Radek Pelánek:
Learning analytics challenges: trade-offs, methodology, scalability. LAK 2020: 554-558 - Sai Santosh Sasank Peri, Bodong Chen, Angela Liegey Dougall, George Siemens:
Towards understanding the lifespan and spread of ideas: epidemiological modeling of participation on Twitter. LAK 2020: 197-202 - Oleksandra Poquet, Jelena Jovanovic:
Intergroup and interpersonal forum positioning in shared-thread and post-reply networks. LAK 2020: 187-196 - Oleksandra Poquet, Liubov Tupikina, Marc Santolini:
Are forum networks social networks?: a methodological perspective. LAK 2020: 366-375 - Rita Prestigiacomo, Roger Hadgraft, Jane Hunter, Lori Lockyer, Simon Knight, Elise van den Hoven, Roberto Martínez Maldonado:
Learning-centred translucence: an approach to understand how teachers talk about classroom data. LAK 2020: 100-105 - Carlos Gerardo Prieto-Alvarez, Roberto Martínez Maldonado, Simon Buckingham Shum:
LA-DECK: a card-based learning analytics co-design tool. LAK 2020: 63-72 - Joshua D. Quick, Benjamin A. Motz, Jamie Israel, Jason Kaetzel:
What college students say, and what they do: aligning self-regulated learning theory with behavioral logs. LAK 2020: 534-543 - Sam Saarinen, Evan Cater, Michael L. Littman:
Applying prerequisite structure inference to adaptive testing. LAK 2020: 422-427 - John Saint, Dragan Gasevic, Wannisa Matcha, Nora'ayu Ahmad Uzir, Abelardo Pardo:
Combining analytic methods to unlock sequential and temporal patterns of self-regulated learning. LAK 2020: 402-411 - Mohammed Saqr, Jalal Nouri:
High resolution temporal network analysis to understand and improve collaborative learning. LAK 2020: 314-319