Results 11 to 20 of about 3,368,371 (356)
Topic modeling in software engineering research
Empirical Software Engineering, 2021 Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining technique to extract human-readable semantic “topics” (i.e., word clusters) from a corpus of textual documents.
Camila Costa Silva +2 more
semanticscholar +1 more source
“I Will Not Drink With You Today”: A Topic-Guided Thematic Analysis of Addiction Recovery on Reddit
International Conference on Human Factors in Computing Systems, 2022 Recovery from addiction is a journey that requires a lifetime of support from a strong network of peers. Many people seek out this support through online communities, like those on Reddit.
R. P. Gauthier +2 more
semanticscholar +1 more source
Journal of Medical Internet Research, 2022 Background Chatbots have become a promising tool to support public health initiatives. Despite their potential, little research has examined how individuals interacted with chatbots during the COVID-19 pandemic. Understanding user-chatbot interactions is
Hyojin Chin +6 more
semanticscholar +1 more source
Teaching and Learning during the COVID-19 Pandemic: A Topic Modeling Study
Education sciences, 2021 The coronavirus disease 2019 (COVID-19) pandemic caused significant disruption to teaching and learning activities at all levels. Faculty, students, institutions, and parents have had to rapidly adapt and adopt measures to make the best use of available ...
Ranjit Vijayan
semanticscholar +1 more source
Fostering Metacognition to Support Student Learning and Performance
CBE - Life Sciences Education, 2021 Metacognition is awareness and control of thinking for learning. Strong metacognitive skills have the power to impact student learning and performance. While metacognition can develop over time with practice, many students struggle to meaningfully engage
J. Stanton +2 more
semanticscholar +1 more source
Machine Learning and Knowledge Extraction, 2023 Fields in the social sciences, such as education research, have started to expand the use of computer-based research methods to supplement traditional research approaches.
Gaurav Nanda +5 more
doaj +1 more source
Research trends related to childhood and adolescent cancer survivors in South Korea using word co-occurrence network analysis [PDF]
Child Health Nursing Research, 2021 Purpose This study analyzed research trends related to childhood and adolescent cancer survivors (CACS) using word co-occurrence network analysis on studies registered in the Korean Citation Index (KCI).
Kyung-Ah Kang +3 more
doaj +1 more source
A data-driven approach to assess computational thinking concepts based on learners’ artifacts
Informatics in Education, 2022 Integrating computational thinking into K-12 Education has been a widely explored topic in recent years. Particularly, effective assessment of computational thinking can support the understanding of how learners develop computational concepts and ...
Adelmo ELOY +3 more
doaj +1 more source
MUSIQ: Multi-scale Image Quality Transformer [PDF]
IEEE International Conference on Computer Vision, 2021 Image quality assessment (IQA) is an important research topic for understanding and improving visual experience. The current state-of-the-art IQA methods are based on convolutional neural networks (CNNs).
Junjie Ke +4 more
semanticscholar +1 more source
MANAGEMENT CONTROL – A PERFORMANCE TOOL FOR TRADING ENTITIES [PDF]
Economica, 2023 In order to ensure efficient management within any entity, it is reasonable to introduce a management and control system covering all its areas of activity.
Andrei JIZDAN
doaj +1 more source