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Full-Text Articles in Education
Conducting A Formative Evaluation On A Course-Level Learning Analytics Implementation Through The Lens Of Self-Regulated Learning And Higher-Order Thinking, Pauline S. Muljana, Tian Luo, Greg Placencia
Conducting A Formative Evaluation On A Course-Level Learning Analytics Implementation Through The Lens Of Self-Regulated Learning And Higher-Order Thinking, Pauline S. Muljana, Tian Luo, Greg Placencia
STEMPS Faculty Publications
Self-regulated learning (SRL) and higher-order thinking skills (HOTS) are associated with academic achievement, but fostering these skills is not easy. Scholars have suggested an alternative way to scaffold these important skills through learning analytics (LA). This paper presents a formative evaluation of a course-level LA implementation through the lens of self-regulated learning (SRL) and higher-order thinking skills (HOTS). We explored the changes in students’ SRL, HOTS, and perceptions at the end of the course term. Results indicate an increase in some elements of SRL and HOTS, and positive student perceptions. Discussion on implications and opportunities for informing future teaching strategies …
Past Precedent Reconciling Established Multimedia Principles In 3d Virtual Learning Environments, Kristin Herman, Jim S. Shifflett, Courtney W. Schoolmaster, Charles Thull, Noah Glaser
Past Precedent Reconciling Established Multimedia Principles In 3d Virtual Learning Environments, Kristin Herman, Jim S. Shifflett, Courtney W. Schoolmaster, Charles Thull, Noah Glaser
STEMPS Faculty Publications
This design case documents the inception, development, and installation of a virtual exhibit on ethical use of learning analytics (LA) for the Museum of Instructional Design (MID), hosted in Mozilla Hubs. Tension emerged as the design team attempted to negotiate established principles of multimedia design theory (see Mayer, 2014; Mayer & Fiorella, 2021; Richardson, 2014) within an emerging learning environment. A rapid prototyping model, combined with elements of critical museology and dialectics, allowed for ongoing formative evaluation of design fidelity. Exhibit artifacts consisted of scenarios illustrating the ethical ambiguities of LA; a data justice timeline pairing recent peer-reviewed articles on …
Review Of: Estrellado, R. A., Freer, E. A., Motsipak, J., Rosenberg, J. M., & Velásquez, I. C. (2021). Data Science In Education Using R. London, England: Routledge, Esther Michela, Robert L. Moore
Review Of: Estrellado, R. A., Freer, E. A., Motsipak, J., Rosenberg, J. M., & Velásquez, I. C. (2021). Data Science In Education Using R. London, England: Routledge, Esther Michela, Robert L. Moore
STEMPS Faculty Publications
Data use in education is continually expanding in scope (Romero and Ventura 2020), and though programming resources are plentiful, those that truly scaffold the learning process are scarce. Data Science in Education Using R by Estrellado, Freer, Motsipak, Rosenberg, and Velásquez is a combination primer and workbook. This format allows the volume to serve as both an introductory R resource aimed to help readers overcome the daunting initial roadblocks to proficiency and familiarize them with educational data uses. We reviewed this book from the perspective of a beginning R user with little other programming background for whom this book is …
Informing Makerspace Outcomes Through A Linguistic Analysis Of Written And Video-Recorded Project Assessments, Kevin M. Oliver, Jennifer K. Houchins, Robert L. Moore, Chuang Wang
Informing Makerspace Outcomes Through A Linguistic Analysis Of Written And Video-Recorded Project Assessments, Kevin M. Oliver, Jennifer K. Houchins, Robert L. Moore, Chuang Wang
STEMPS Faculty Publications
A growing body of research focuses on what outcomes to assess in makerspaces, and appropriate formats for capturing those outcomes (e.g. reflections, surveys, and port-folios). Linguistic analysis as a data mining technique holds promise for revealing different dimensions of learning exhibited by students in makerspaces. In this study, student reflections on makerspace projects were gathered in 2 formats over 2 years: private written assessments captured in the 3D GameLab gamification platform, and semi-public video-recorded assessments posted in the more social FlipGrid platform. Transcripts of student assessments were analyzed using Linguistic Inquiry Word Count (LIWC) to generate 4 summary variables thought …
A Framework To Support Interdisciplinary Engagement With Learning Analytics, Stephanie J. Blackmon, Robert L. Moore
A Framework To Support Interdisciplinary Engagement With Learning Analytics, Stephanie J. Blackmon, Robert L. Moore
STEMPS Faculty Publications
Learning analytics can provide an excellent opportunity for instructors to get an in-depth understanding of students’ learning experiences in a course. However, certain technological challenges, namely limited availability of learning analytics data because of learning management system restrictions, can make accessing this data seem impossible at some institutions. Furthermore, even in cases where instructors have access to a range of student data, there may not be organized efforts to support students across various courses and university experiences. In the current chapter, the authors discuss the issue of learning analytics access and ways to leverage learning analytics data between instructors, and …
Setting The Pace: Examining Cognitive Processing In Mooc Discussion Forums With Automatic Text Analysis, Robert L. Moore, Kevin M. Oliver, Chuang Wang
Setting The Pace: Examining Cognitive Processing In Mooc Discussion Forums With Automatic Text Analysis, Robert L. Moore, Kevin M. Oliver, Chuang Wang
STEMPS Faculty Publications
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 …