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Can large language models write reflectively
Computers and Education: Artificial Intelligence, 2023 Generative Large Language Models (LLMs) demonstrate impressive results in different writing tasks and have already attracted much attention from researchers and practitioners. However, there is limited research to investigate the capability of generative
Yuheng Li +8 more
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Multimodal Technologies and Interaction, 2022 Achieving fluency in arithmetic operations is vital if students are to develop mathematical creativity and critical thinking abilities. Nevertheless, a substantial body of literature has demonstrated that students are struggling to develop such skills ...
Umar Bin Qushem +2 more
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BMC Medical Informatics and Decision Making, 2022 Providing electronic health data to medical practitioners to reflect on their performance can lead to improved clinical performance and quality of care. Understanding the sensemaking process that is enacted when practitioners are presented with such data
Emma Whitelock-Wainwright +5 more
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Education Sciences, 2023 Teachers are urged to provide differentiated instruction (DI), that is, deliberately adapting instruction to the learning needs of all students. DI can positively affect students’ academic achievement and their social and emotional development, as well ...
Kyra Meutstege +2 more
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Computers and Education: Artificial Intelligence, 2023 Reflection and goal-setting are interrelated processes in well-established educational theories to promote in-depth self-reflection and self-regulated learning.
Yuheng Li +8 more
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Automated coding of student chats, a trans-topic and language approach
Computers and Education: Artificial Intelligence, 2023 Computer-Supported Collaborative Learning (CSCL) is known to be productive if well structured. In CSCL, students construct knowledge by performing learning tasks while communicating about their work.
Adelson de Araujo +3 more
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Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis
Journal of NeuroEngineering and Rehabilitation, 2020 Background Multiple sclerosis (MS) is a disabling disease affecting the central nervous system and consequently the whole body’s functional systems resulting in different gait disorders.
Alzhraa A. Ibrahim +5 more
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PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
Animals, 2023 Automated monitoring systems have become increasingly important for zoological institutions in the study of their animals’ behavior. One crucial processing step for such a system is the re-identification of individuals when using multiple cameras.
Matthias Zuerl +8 more
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Reinforcement learning for automatic detection of effective strategies for self-regulated learning
Computers and Education: Artificial Intelligence, 2023 Self-regulated learning (SRL) is an essential skill for achieving one's learning goals, particularly in Digital Learning Environments (DLEs) where system support is often limited compared to traditional classroom settings.
Ikenna Osakwe +8 more
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npj Science of Learning, 2022 Longitudinal randomized controlled trials generally assign individuals randomly to interventions at baseline and then evaluate how differential average treatment effects evolve over time.
Ilja Cornelisz, Chris van Klaveren
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