Works Published in 2021

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Displaying works 241 - 260 of 269 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2021 journal article

AERPAW emulation overview and preliminary performance evaluation

COMPUTER NETWORKS, 194.

By: A. Panicker n, O. Ozdemir n, M. Sichitiu n, I. Guvenc n, R. Dutta n, V. Marojevic*, B. Floyd n

author keywords: AERPAW; Emulation; UAV
TL;DR: This paper first presents the emulation design of AERPAW vehicles, then describes various different options for wireless channel emulation in AerPAW, and starts with a generalized model for wireless emulation, and expands that model to packet-level emulation, I-Q level emulator, and radio-frequency (RF)-level emulation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science
Added: April 21, 2021

2021 journal article

An Empirical Study on Type Annotations: Accuracy, Speed, and Suggestion Effectiveness

ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 30(2).

author keywords: Type checking; automated static analysis; software reliability; annotations; program analysis; dimensional analysis; physical units; robotic systems
TL;DR: The baseline accuracy and speed for developers making type annotations to previously unseen code is measured, and it is found that identifier names and reasoning about code operations are the primary clues for selecting a type. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: April 19, 2021

2021 journal article

Measuring in-service teacher self-efficacy for teaching computational thinking: development and validation of the T-STEM CT

EDUCATION AND INFORMATION TECHNOLOGIES, 26(4), 4663–4689.

By: D. Boulden n, A. Rachmatullah n, K. Oliver n & E. Wiebe n

author keywords: Computational thinking; K-12 teaching; Self-efficacy; Construct validation; Rasch analysis; Reliability
TL;DR: An instrument that measures in-service teachers’ self-efficacy and outcome expectancy beliefs for teaching CT was developed and validated and did not reflect bias with gender, race, or teaching experience. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, ORCID
Added: April 12, 2021

2021 article

Shockingly Simple: "Keys" for Better AI for SE

IEEE SOFTWARE, Vol. 38, pp. 114–118.

By: T. Menzies n

TL;DR: As 2020 drew to a close, I was thinking about what lessons the authors have learned about software engineering (SE) for artificial intelligence (AI)-things that they can believe now but, in the last century, would have seemed somewhat shocking. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: April 12, 2021

2021 journal article

Perceptual metric learning for video anomaly detection

MACHINE VISION AND APPLICATIONS, 32(3).

author keywords: Video anomaly detection; Metric learning; Video surveillance; Siamese neural networks
TL;DR: This work introduces a new approach to localize anomalies in surveillance video using a Siamese convolutional neural network to learn a metric between a pair of video patches, which is used to measure the perceptual distance between each video patch in the testing video and the video patches found in normal training video. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: April 5, 2021

2021 conference paper

Combining Theory and Practice in Data Structures & Algorithms Course Projects: An Experience Report

Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 959–965.

By: J. King n

Event: at New York, NY, USA

TL;DR: The objective of the redesigned CS2 course project is to connect computer science theory with software development practice by incorporating algorithm design and analysis, data structure selection, and experimental analysis as part of the software development lifecycle. (via Semantic Scholar)
Source: ORCID
Added: March 18, 2021

2021 conference paper

STARS Ignite: A Program for Supporting Professors in Organizing Student Cohorts for Conferences

SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 1349.

Event: 52nd ACM Technical Symposium on Computer Science Education

TL;DR: It is argued that leading a cohort of faculty/staff and students who attend a conference with the shared goal of broadening participation can provide lasting benefits for computing departments. (via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: March 16, 2021

2021 conference paper

Strategies for Authentic Assessments of Mastery in CS Courses

SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 1361.

Event: 52nd ACM Technical Symposium on Computer Science Education

TL;DR: This Birds-of-a-Feather session will provide a forum for conversations around assessment of student mastery and expand the collective understanding of how authentic assessments can be used in CS courses and share ideas to inform research and practice toward grading for equity. (via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: March 16, 2021

2021 conference paper

Finding Video-watching Behavior Patterns in a Flipped CS1 Course

SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 768–774.

By: C. Moore n, L. Battestilli n & I. Dominguez n

Event: 52nd ACM Technical Symposium on Computer Science Education

TL;DR: How regular video watching can be a key learning strategy for some but not all students in a flipped CS1 course is discussed, where some students can achieve good learning outcomes with minimal watching of the course videos. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: March 16, 2021

2021 conference paper

Increasing Women’s Persistence in Computer Science by Decreasing Gendered Self-Assessments of Computing Ability

Proceedings of the 2021 ACM Conference on Innovation and Technology in Computer Science Education. Presented at the 2021 ACM Conference on Innovation and Technology in Computer Science Education.

By: S. Fisk, K. Stolee & L. Battestilli

Event: 2021 ACM Conference on Innovation and Technology in Computer Science Education.

Source: NC State University Libraries
Added: March 16, 2021

2021 journal article

Detecting Framing Changes in Topical News

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 8(3), 780–791.

By: K. Sheshadri n, C. Shivade* & M. Singh n

author keywords: Obesity; Market research; Benchmark testing; Media; Current measurement; Standards; Sociology; Framing; news media
TL;DR: This article systematizes the discovery of framing changes through a fully unsupervised computational method that seeks to isolate framing change trends over several years, and highlights the predictive utility of framing change detection, by identifying two domains in which framing changes foreshadowed substantial legislative activity, or preceded judicial interest. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: ORCID, Web Of Science
Added: March 16, 2021

2021 journal article

Development and validation of the teachers' digital learning identity survey

INTERNATIONAL JOURNAL OF EDUCATIONAL RESEARCH, 105.

author keywords: Improving classroom teaching; 21st century abilities; Teacher professional development; Lifelong learning
TL;DR: This study investigates the reliability and validity of theDLIS with pre-service teachers using exploratory and confirmatory factor analyses and found aspects of the DLIS validly measure DLI. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: March 15, 2021

2021 journal article

Dynamic Graph Learning: A Structure-Driven Approach

MATHEMATICS, 9(2).

author keywords: dynamic graph learning; graph signal processing; sparse signal; convex optimization
TL;DR: The purpose of this paper is to infer a dynamic graph as a global model of time-varying measurements at a set of network nodes, which captures both pairwise as well as higher order interactions among the nodes. (via Semantic Scholar)
Source: Web Of Science
Added: March 15, 2021

2021 article

Two-Computer Pair Programming: Exploring a Feedback Intervention to improve Collaborative Talk in Elementary Students.

COMPUTER SCIENCE EDUCATION.

author keywords: Pair programming; collaboration; elementary school; feedback; intervention
TL;DR: This study employs an intervention to explore the role instructor-directed feedback plays on elementary students’ dyadic collaboration during 2-computer pair programming and highlights ways to support students in pair programming contexts so that they can maximize the benefits afforded through these experiences. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Source: ORCID
Added: March 9, 2021

2021 journal article

Security Smells in Ansible and Chef Scripts: A Replication Study

ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 30(1).

TL;DR: This article identifies two security smells not reported in prior work: missing default in case statement and no integrity check and recommends practitioners to rigorously inspect the presence of the identified security smells in Ansible and Chef scripts using code review, and static analysis tools. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Source: Web Of Science
Added: March 8, 2021

2021 journal article

WiFi based Multi-User Gesture Recognition

IEEE TRANSACTIONS ON MOBILE COMPUTING, 20(3), 1242–1256.

By: R. Venkatnarayan n, S. Mahmood n & M. Shahzad n

author keywords: Wireless fidelity; Gesture recognition; Training; Performance evaluation; Wireless communication; Wireless sensor networks
TL;DR: The results show that WiMU recognizes 2, 3, 4, 5, 6, 7, and 8 simultaneously performed gestures with accuracies of 95.6, 94.9, 93.7, 91.0, and 90.1 percent, respectively. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: March 8, 2021

2021 article

Foreword

JOURNAL OF SYMBOLIC COMPUTATION, Vol. 105, pp. 1–3.

By: E. Kaltofen n

Source: Web Of Science
Added: February 15, 2021

2021 journal article

Modeling Secondary Students' Genetics Learning in a Game-Based Environment: Integrating the Expectancy-Value Theory of Achievement Motivation and Flow Theory

JOURNAL OF SCIENCE EDUCATION AND TECHNOLOGY, 30(4), 511–528.

By: A. Rachmatullah n, F. Reichsman*, T. Lord*, C. Dorsey*, B. Mott n, J. Lester n, E. Wiebe n

author keywords: Outcome-expectancy; Flow theory; Game-based learning; Genetics; Self-efficacy
TL;DR: It was found that the game had a significant impact on students’ conceptual understanding of genetics, and an acceptable statistical model of the integration between the two theories was found. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Source: Web Of Science
Added: February 8, 2021

2021 journal article

Software development with feature toggles: practices used by practitioners

EMPIRICAL SOFTWARE ENGINEERING, 26(1).

By: R. Mahdavi-Hezaveh n, J. Dremann n & L. Williams n

author keywords: Continuous integration; Continuous delivery; Feature toggle; Practice
TL;DR: The feature toggle development practices discovered and enumerated in this work can help practitioners more effectively use feature toggles and can enable future mining of code repositories to automatically identify feature toggle practices. (via Semantic Scholar)
Source: Web Of Science
Added: February 8, 2021

2021 journal article

Robust Multi-Modal Sensor Fusion: An Adversarial Approach

IEEE SENSORS JOURNAL, 21(2), 1885–1896.

author keywords: Sensor fusion; Sensor phenomena and characterization; Generators; Sensor systems; Generative adversarial networks; Feature extraction; Multi-modal sensors; target detection; Generative Adversarial Networks (GAN); Event Driven Fusion
TL;DR: This work exploits selected optimal features from an estimated latent space of data across all modalities, learned via a generative network conditioned on individual sensor modalities and shows that such an approach can achieve automatic system robustness against noisy/damaged sensors. (via Semantic Scholar)
Source: Web Of Science
Added: January 19, 2021

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