Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- AI in education (1)
- Ablation studies (1)
- Algorithms (1)
- Analytics triangulation (1)
- Artificial intelligence (1)
-
- Classification (1)
- Content word (1)
- Controlled experiment (1)
- Credibility (1)
- Economics (1)
- Flipped classroom (1)
- Higher education (1)
- Integrity in scientific work (1)
- Latent semantic analysis (1)
- Leadership studies (1)
- Learning analytics (1)
- Legal studies (1)
- Literacy (1)
- Machine learning understanding of retraction (1)
- Metascience (1)
- Online learning (1)
- Open learning system (1)
- Organization development (1)
- Political science (1)
- Psychology (1)
- Public affairs (1)
- Public policy and public administration (1)
- Published work (1)
- Quantum information science (QIS) (1)
- Random forest classifier (1)
Articles 1 - 6 of 6
Full-Text Articles in Education
Developing A Framework For Personalized Video-Based Quantum Information Science Education, Nikos Chrisochoides, Norou Diawara, Michail Giannakos
Developing A Framework For Personalized Video-Based Quantum Information Science Education, Nikos Chrisochoides, Norou Diawara, Michail Giannakos
Computer Science Faculty Publications
This is a white paper on Workforce Development for Quantum Information Sciences (QIS) led by the Center for Real-Time Computing at Old Dominion University (ODU). We plan to investigate the potential of video lectures in supporting QIS. Specifically, we focus on following four objectives: (a) design a two-course series for both Master-level and PhD students; b) an upgrade of Experimental Lecture System (ELeSy) to test new, innovative, and transformative approaches for inclusive QIS education; c) design and implementation of a mixed-method systematic empirical study on the effects of video learning styles (in-person flipped classroom and voluntary video use) on graduate …
Systematizing Confidence In Open Research And Evidence (Score), Nazanin Alipourfard, Beatrix Arendt, Daniel M. Benjamin, Noam Benkler, Michael Bishop, Mark Burstein, Martin Bush, James Caverlee, Yiling Chen, Chae Clark, Anna Dreber Almenberg, Timothy M. Errington, Fiona Fidler, Nicholas Fox, Aaron Frank, Hannah Fraser, Scott Friedman, Ben Gelman, James Gentile, Jian Wu, Et Al., Score Collaboration
Systematizing Confidence In Open Research And Evidence (Score), Nazanin Alipourfard, Beatrix Arendt, Daniel M. Benjamin, Noam Benkler, Michael Bishop, Mark Burstein, Martin Bush, James Caverlee, Yiling Chen, Chae Clark, Anna Dreber Almenberg, Timothy M. Errington, Fiona Fidler, Nicholas Fox, Aaron Frank, Hannah Fraser, Scott Friedman, Ben Gelman, James Gentile, Jian Wu, Et Al., Score Collaboration
Computer Science Faculty Publications
Assessing the credibility of research claims is a central, continuous, and laborious part of the scientific process. Credibility assessment strategies range from expert judgment to aggregating existing evidence to systematic replication efforts. Such assessments can require substantial time and effort. Research progress could be accelerated if there were rapid, scalable, accurate credibility indicators to guide attention and resource allocation for further assessment. The SCORE program is creating and validating algorithms to provide confidence scores for research claims at scale. To investigate the viability of scalable tools, teams are creating: a database of claims from papers in the social and behavioral …
Understanding And Predicting Retractions Of Published Work, Sai Ajay Modukuri, Sarah Rajtmajer, Anna Cinzia Squicciarini, Jian Wu, C. Lee Giles
Understanding And Predicting Retractions Of Published Work, Sai Ajay Modukuri, Sarah Rajtmajer, Anna Cinzia Squicciarini, Jian Wu, C. Lee Giles
Computer Science Faculty Publications
Recent increases in the number of retractions of published papers reflect heightened attention and increased scrutiny in the scientific process motivated, in part, by the replication crisis. These trends motivate computational tools for understanding and assessment of the scholarly record. Here, we sketch the landscape of retracted papers in the Retraction Watch database, a collection of 19k records of published scholarly articles that have been retracted for various reasons (e.g., plagiarism, data error). Using metadata as well as features derived from full-text for a subset of retracted papers in the social and behavioral sciences, we develop a random forest classifier …
Making Sense Of Video Analytics: Lessons Learned From Clickstream Interactions, Attitudes, And Learning Outcome In A Video-Assisted Course, Michail N. Giannakos, Konstantinos Chorianopoulos, Nikos Chrisochoides
Making Sense Of Video Analytics: Lessons Learned From Clickstream Interactions, Attitudes, And Learning Outcome In A Video-Assisted Course, Michail N. Giannakos, Konstantinos Chorianopoulos, Nikos Chrisochoides
Computer Science Faculty Publications
Online video lectures have been considered an instructional media for various pedagogic approaches, such as the flipped classroom and open online courses. In comparison to other instructional media, online video affords the opportunity for recording student clickstream patterns within a video lecture. Video analytics within lecture videos may provide insights into student learning performance and inform the improvement of video-assisted teaching tactics. Nevertheless, video analytics are not accessible to learning stakeholders, such as researchers and educators, mainly because online video platforms do not broadly share the interactions of the users with their systems. For this purpose, we have designed an …
Scaffolding To Improve Writing Skills In A Computer Science Literacy Course, Wu He, Harris Wu, Li Xu, Kurt Maly
Scaffolding To Improve Writing Skills In A Computer Science Literacy Course, Wu He, Harris Wu, Li Xu, Kurt Maly
Computer Science Faculty Publications
Writing has been recognized as an important skill in the technology field. This paper reports a study that uses a scaffolding approach to improve student writing skills in a computer science literacy course. While the quantitative results do not show a significant impact of scaffolding in individual paper assignment on the subsequent group wiki assignment, the student feedback in end-of-semester evaluations strongly indicated that scaffolding indeed helped improve their writing.
Istart: Interactive Strategy Training For Active Reading And Thinking, Danielle S. Mcnamara, Irwin B. Levinstein, Chutima Boonthum
Istart: Interactive Strategy Training For Active Reading And Thinking, Danielle S. Mcnamara, Irwin B. Levinstein, Chutima Boonthum
Computer Science Faculty Publications
Interactive Strategy Training for Active Reading and Thinking (iSTART) is a Web-based application that provides young adolescent to college-age students with high-level reading strategy training to improve comprehension of science texts. iSTART is modeled after an effective, human-delivered intervention called self-explanation reading training (SERT), which trains readers to use active reading strategies to self-explain difficult texts more effectively. To make the training more widely available, the Web-based trainer has been developed. Transforming the training from a human-delivered application to a computer-based one has resulted in a highly interactive trainer that adapts its methods to the performance of the students. The …