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Direct linkKataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
Ran Tao – ProQuest LLC, 2023
Vision classification tasks, a fundamental and transformative aspect of deep learning and computer vision, play a pivotal role in our ability to understand the visual world. Deep learning techniques have revolutionized the field, enabling unprecedented accuracy and efficiency in vision classification. However, deep learning models, especially…
Descriptors: Classification, Vision, Documentation, Data Collection
Eeshan Hasan; Erik Duhaime; Jennifer S. Trueblood – Cognitive Research: Principles and Implications, 2024
A crucial bottleneck in medical artificial intelligence (AI) is high-quality labeled medical datasets. In this paper, we test a large variety of wisdom of the crowd algorithms to label medical images that were initially classified by individuals recruited through an app-based platform. Individuals classified skin lesions from the International…
Descriptors: Algorithms, Human Body, Classification, Knowledge Level
Download full textJessica Andrews-Todd; Jonathan Steinberg; Michael Flor; Carolyn M. Forsyth – Grantee Submission, 2022
Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military. Innovative approaches for assessing individuals' CPS competency are necessary, as traditional assessment types such as multiple-choice items are not well suited for such a process-oriented…
Descriptors: Automation, Classification, Cooperative Learning, Problem Solving
Jessica Andrews-Todd; Jonathan Steinberg; Michael Flor; Carolyn M. Forsyth – Journal of Intelligence, 2022
Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military. Innovative approaches for assessing individuals' CPS competency are necessary, as traditional assessment types such as multiple-choice items are not well suited for such a process-oriented…
Descriptors: Automation, Classification, Cooperative Learning, Problem Solving
Jonathan K. Foster; Peter Youngs; Rachel van Aswegen; Samarth Singh; Ginger S. Watson; Scott T. Acton – Journal of Learning Analytics, 2024
Despite a tremendous increase in the use of video for conducting research in classrooms as well as preparing and evaluating teachers, there remain notable challenges to using classroom videos at scale, including time and financial costs. Recent advances in artificial intelligence could make the process of analyzing, scoring, and cataloguing videos…
Descriptors: Learning Analytics, Automation, Classification, Artificial Intelligence
Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
Restrepo, Silvia; ter Horst, Enrique; Zambrano, Juan Diego; Gunn, Laura H.; Molina, German; Salazar, Carlos Andres – Education for Information, 2022
This manuscript builds on a novel, automatic, freely-available Bayesian approach to extract information in abstracts and titles to classify research topics by quartile. This approach is demonstrated for all N= 149,129 ISI-indexed publications in biological sciences journals during 2017. A Bayesian multinomial inverse regression approach is used to…
Descriptors: Bayesian Statistics, Biological Sciences, Trend Analysis, Classification
Anglin, Kylie; Boguslav, Arielle; Hall, Todd – Grantee Submission, 2020
Text classification has allowed researchers to analyze natural language data at a previously impossible scale. However, a text classifier is only as valid as the the annotations on which it was trained. Further, the cost of training a classifier depends on annotators' ability to quickly and accurately apply the coding scheme to each text. Thus,…
Descriptors: Documentation, Natural Language Processing, Classification, Research Design
Flor, Michael; Andrews-Todd, Jessica – Journal of Computer Assisted Learning, 2022
Background: Collaborative problem solving (CPS) is important for success in the 21st century, especially for teamwork and communication in technology-enhanced environments. Measurement of CPS skills has emerged as an essential aspect in educational assessment. Modern research in CPS relies on theory-driven measurements that are usually carried out…
Descriptors: Automation, Documentation, Cooperative Learning, Teamwork
Harrak, Fatima; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2019
Students' questions categorization is a challenging task as the available corpora are often limited in size (particularly with languages other than English) and require a costly preliminary manual annotation to train the classifiers. Ensemble learning can help improve machine learning results by combining several models, and is particularly…
Descriptors: Classification, Questioning Techniques, Artificial Intelligence, Documentation
Semenzin, Chiara; Hamrick, Lisa; Seidl, Amanda; Kelleher, Bridgette L.; Cristia, Alejandrina – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Recording young children's vocalizations through wearables is a promising method to assess language development. However, accurately and rapidly annotating these files remains challenging. Online crowdsourcing with the collaboration of citizen scientists could be a feasible solution. In this article, we assess the extent to which citizen…
Descriptors: Young Children, Audio Equipment, Documentation, Speech
Rachel Fedorchak; Vade Kamenitsa-Hale; Hunter Thompson Lockwood; Monica Macaulay – Language Documentation & Conservation, 2023
This paper provides an empirical study of word formation and lexical expansion in a set of Algonquian languages, considering 153 terms for each language. These terms range from words that predate European colonialism to more recent forms coined by English L1 speakers. We propose a classification of the methods of lexical innovation, which involves…
Descriptors: American Indian Languages, Language Maintenance, Language Research, Documentation
Thaweesak Chanpradit; Phakkaramai Samran; Siriprapa Saengpinit; Pailin Subkasin – Journal of English Teaching, 2024
AI-generated paraphrasing tools, especially QuillBot and Paraphrasing Tool, play a crucial role in preventing plagiarism in academic writing. However, their effectiveness and proficiency have been questioned, particularly regarding the adequacy of their strategies. This qualitative study analyzed the paraphrasing strategies and proficiency levels…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Phrase Structure
Ibrahim, Mariam Taiwo; Tella, Adeyinka – International Journal of Higher Education, 2020
Purpose: This study analysed text mining from full-text articles and abstracts by postgraduate students in selected Nigeria universities. Design/methodology/approach: The study adopted a survey research design using a questionnaire as the instrument for data collection from 357 postgraduate students drawn using Raosoft sample size calculator. Six…
Descriptors: Journal Articles, Documentation, Graduate Students, Foreign Countries
