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Horton, Nicholas J.; Chao, Jie; Palmer, Phebe; Finzer, William – Teaching Statistics: An International Journal for Teachers, 2023
Text provides a compelling example of unstructured data that can be used to motivate and explore classification problems. Challenges arise regarding the representation of features of text and student linkage between text representations as character strings and identification of features that embed connections with underlying phenomena. In order…
Descriptors: Undergraduate Students, Data Analysis, Learning Processes, Written Language
Li, Sandy C.; Lai, Tony K. H. – Australasian Journal of Educational Technology, 2022
Despite the positive claims on the pedagogical use of social annotation and online collaborative writing tools discussed in the literature, most of the findings are derived from interviews or self-reported survey data. Very few studies probed deep into the learning processes and examined students' digital traces and the artefacts they…
Descriptors: Documentation, Collaborative Writing, Data Analysis, Network Analysis
Boehm, Frederick J.; Hanlon, Bret M. – Journal of Statistics and Data Science Education, 2021
We draw on our experiences with mentoring two students to develop a framework for undergraduate research projects with Twitter data. Leveraging backward design principles, we share our learning objectives and rubric for summative assessments. To illustrate the value of Twitter as a data source, we detail methods for collecting and analyzing…
Descriptors: Social Media, Mentors, Guidelines, Undergraduate Students
Linwan Wu; Allyssa Andrews – Journal of Advertising Education, 2024
Programmatic advertising has come to dominate the landscape of digital media planning. To prepare ad majors for their future careers in the industry, it is essential to teach students programmatic buying and provide them with hands-on experience. In this article, the authors present their approach of integrating teaching programmatic buying into a…
Descriptors: Advertising, Professional Education, Teaching Methods, Purchasing
Liu, Chengyuan; Cui, Jialin; Shang, Ruixuan; Xiao, Yunkai; Jia, Qinjin; Gehringer, Edward – International Educational Data Mining Society, 2022
An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…
Descriptors: Peer Evaluation, Feedback (Response), Computer Mediated Communication, Teaching Methods
Burckhardt, Philipp; Nugent, Rebecca; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packages and tools. It has also increased the need for…
Descriptors: Statistics Education, Teaching Methods, Web Based Instruction, Data Analysis
Pardos, Zachary A.; Horodyskyj, Lev – Journal of Learning Analytics, 2019
We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…
Descriptors: Visualization, Online Courses, Course Descriptions, Data Analysis
Wang, Yuping; Qi, Grace Yue – Language Learning & Technology, 2018
In the last five years or so, research has extensively explored the benefits and problems of flipped classrooms in helping improve the student learning experience. However, little attention has been given to the kinds of support that students would need in the process of mastering learning outside class. To address this gap in research and…
Descriptors: Mastery Learning, Second Language Learning, Chinese, Foreign Countries
Armstrong, Amanda; Thomas, Jaymi; Smith, Madeline – Journal of College Student Development, 2017
The purpose of this exploratory case study was to gather undergraduate students' perceptions of anonymous racist messages found on Yik Yak and to better understand the implications of anonymous platforms on campus racial climate. Given the limited research surrounding students' use of anonymous social media platforms, as well as the predominant…
Descriptors: Undergraduate Students, Student Experience, Social Media, Privacy
Cai, Zhiqiang; Pennebaker, James W.; Eagan, Brendan; Shaffer, David W.; Dowell, Nia M.; Graesser, Arthur C. – Grantee Submission, 2017
This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…
Descriptors: Network Analysis, Computer Mediated Communication, Cooperative Learning, Scores
Kokoç, Mehmet; Altun, Arif – International Association for Development of the Information Society, 2016
It is still under debate whether learners' interaction data within e-learning and/or open learning environments could be considered as reflections of their learning experiences to be effective or not. Therefore, it is meaningful to explore the nature of these interactions and to make meaningful conclusions. This study aims to explore what the…
Descriptors: Learning Experience, Interaction, Electronic Learning, Online Courses
Crossley, Scott; Barnes, Tiffany; Lynch, Collin; McNamara, Danielle S. – International Educational Data Mining Society, 2017
This study takes a novel approach toward understanding success in a math course by examining the linguistic features and affect of students' language production within a blended (with both on-line and traditional face to face instruction) undergraduate course (n=158) on discrete mathematics. Three linear effects models were compared: (a) a…
Descriptors: Success, Mathematics Instruction, Language Usage, Blended Learning
Li, Jia; Cummins, Jim; Deng, Qizhen – Computer Assisted Language Learning, 2017
This study examined university undergraduate English language learners' (ELLs) perspectives on an intervention, Word Matters, that aimed to enhance functional academic vocabulary learning critical to their cognitive academic language proficiency development (Cummins, 1989), a challenge faced by many ELLs in English-medium universities. This…
Descriptors: Foreign Countries, Undergraduate Students, English Language Learners, Student Attitudes
Schussler, Deborah; Frank, Jennifer; Lee, Tsan-Kuang; Mahfouz, Julia – Journal of Technology and Teacher Education, 2017
Nearly one in three students in the United States today is negatively impacted by bullying. Teachers can play a critical role in stopping bullying-related violence, but many struggle with how to engage students in difficult conversations. Traditional classroom-based pedagogy used to teach communication skills (e.g., modeling & role-play) is…
Descriptors: Computer Simulation, Artificial Intelligence, Role Playing, Teaching Methods
Groen, Martin; Noyes, Jan – Discourse Processes: A Multidisciplinary Journal, 2013
Communicating via text-only computer-mediated communication (CMC) channels is associated with a number of issues that would impair users in achieving dialogue coherence and goals. It has been suggested that humans have devised novel adaptive strategies to deal with those issues. However, it could be that humans rely on "classic"…
Descriptors: Foreign Countries, Computer Mediated Communication, Goal Orientation, Semantics
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