Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing [PDF]
Group Decision and Negotiation, 2023 AbstractCrowdsourcing holds great potential: macro-task crowdsourcing can, for example, contribute to work addressing climate change. Macro-task crowdsourcing aims to use the wisdom of a crowd to tackle non-trivial tasks such as wicked problems. However, macro-task crowdsourcing is labor-intensive and complex to facilitate, which limits its efficiency,
Henner Gimpel +2 more
exaly +9 more sources
Advancing Content Synthesis in Macro-Task Crowdsourcing Facilitation Leveraging Natural Language Processing [PDF]
Group Decision and NegotiationAbstractMacro-task crowdsourcing presents a promising approach to address wicked problems like climate change by leveraging the collective efforts of a diverse crowd. Such macro-task crowdsourcing requires facilitation. However, in the facilitation process, traditionally aggregating and synthesizing text contributions from the crowd is labor-intensive,
Moritz Wohl +2 more
exaly +8 more sources
Macro- and Micro-Level Behavioral Patterns in Simulation-Based Scientific Inquiry: Linking Processes to Performance Among Elementary Students [PDF]
Journal of IntelligenceScientific inquiry is fundamental to science education, encompassing the processes through which students construct scientific knowledge and develop thinking skills.
Shuang Wang +4 more
doaj +2 more sources
Development and Performance Analysis of a Semi-Supervised Gait Recognition Model for Pediatric Abnormalities Using a Hybrid Dataset [PDF]
BioengineeringPediatric gait abnormalities are closely intertwined with musculoskeletal dysfunctions and heightened injury risk, underscoring the urgency of early and accessible screening tools. Here, we develop and validate a video-based semi-supervised Abnormal Gait
Xiaoneng Song, Kun Qian, Sida Tang
doaj +2 more sources
Unleashing the Potential of Crowd Work: The Need for a Post-Taylorism Crowdsourcing Model
M@n@gement, 2021 Paid crowdsourcing connects task requesters to a globalized, skilled workforce that is available 24/7. In doing so, this new labor model promises not only to complete work faster and more efficiently than any previous approach but also to harness the ...
Ioanna Lykourentzou +2 more
doaj +1 more source
Applied Sciences, 2023 In this paper, we analyzed the performance of different transformer models for regret and hope speech detection on two novel datasets. For the regret detection task, we compared the averaged macro-scores of the transformer models to the previous state-of-
Grigori Sidorov +3 more
doaj +1 more source
Assessment of Parent–Child Interaction Quality from Dyadic Dialogue
Applied Sciences, 2023 The quality of parent–child interaction is critical for child cognitive development. The Dyadic Parent–Child Interaction Coding System (DPICS) is commonly used to assess parent and child behaviors.
Chaohao Lin +6 more
doaj +1 more source
Task Difficulty and Its Components: Are They Alike or Different across Different Macro-genres? [PDF]
Iranian Journal of Applied Language Studies, 2016 Task difficulty across different macro-genres continues to remain among less attended areas in second language development studies. This study examined the correlation between task difficulty across the descriptive, narrative, argumentative, and ...
Afsar Rouhi +2 more
doaj +1 more source
Macro Community-Based Practice: Educating Through Community-Based Action Projects
Journal of Community Engagement and Scholarship, 2022 Teaching undergraduate students the skills needed for macro community-based practice is often a daunting task. We introduce community-based action projects (CBAP) as a framework for teaching macro community-based work.
Christina R. Miller +1 more
doaj +1 more source
Comparison of BERT implementations for natural language processing of narrative medical documents
Informatics in Medicine Unlocked, 2023 Background and objectives: Bidirectional Encoder Representations from Transformers (BERT) word embedding models have been successfully used for many natural language processing (NLP) tasks, including medical named entity recognition.
Alexander Turchin +2 more
doaj +1 more source