@article{moore_oliver_wang_2019, title={Setting the pace: examining cognitive processing in MOOC discussion forums with automatic text analysis}, volume={27}, ISSN={["1744-5191"]}, url={https://doi.org/10.1080/10494820.2019.1610453}, DOI={10.1080/10494820.2019.1610453}, abstractNote={ABSTRACT Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can create challenges for understanding and adequately describing student behaviors. Utilizing automatic text analysis, this study built a hierarchical linear model that examines the influence of the pacing condition of a massive open online course (MOOC), whether it is self-paced or instructor-paced, on the demonstration of cognitive processing in a HarvardX MOOC. The analysis of 2,423 discussion posts generated by 671 students revealed the number of dictionary words used were positively associated with cognitive processing while analytical thinking and clout was negatively associated. We found that none of the student background information (gender, education), status of the course engagement (explored or completed), or the course pace (self-paced versus instructor paced) significantly influenced the cognitive processing of the postings.}, number={5-6}, journal={INTERACTIVE LEARNING ENVIRONMENTS}, publisher={Informa UK Limited}, author={Moore, Robert L. and Oliver, Kevin M. and Wang, Chuang}, year={2019}, month={Aug}, pages={655–669} }
 @article{moore_johnson_2017, title={Earning a seat at the table: How IT departments can partner in organizational change and innovation}, volume={7}, number={2}, journal={International Journal of Knowledge-Based Organizations}, author={Moore, R. L. and Johnson, N.}, year={2017}, pages={1–12} }
 @article{moore_2014, title={Information architecture for social media: a case study on building an event backchannel with Twitter}, volume={2}, number={1}, journal={International Journal of Social Media and Interactive Learning Environments}, author={Moore, Robert L.}, year={2014}, pages={21–36} }