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Papers and patents are becoming less disruptive over time
Theories of scientific and technological change view discovery and invention as
endogenous processes,, wherein previous accumulated knowledge enables future progress …
endogenous processes,, wherein previous accumulated knowledge enables future progress …
A reward-learning framework of knowledge acquisition: An integrated account of curiosity, interest, and intrinsic–extrinsic rewards.
K Murayama - Psychological Review, 2022 - psycnet.apa.org
Recent years have seen a considerable surge of research on interest-based engagement,
examining how and why people are engaged in activities without relying on extrinsic …
examining how and why people are engaged in activities without relying on extrinsic …
Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory
[This paper is part of the Focused Collection on Qualitative Methods in PER: A Critical
Examination.] Qualitative research methods have provided key insights in physics education …
Examination.] Qualitative research methods have provided key insights in physics education …
Coding energy knowledge in constructed responses with explainable NLP models
Background Formative assessments are needed to enable monitoring how student
knowledge develops throughout a unit. Constructed response items which require learners …
knowledge develops throughout a unit. Constructed response items which require learners …
Emergence of phase clusters and coexisting states reveals the structure-function relationship
D Yu, Y Wu, Q Ding, T Li, Y Jia - Physical Review E, 2024 - APS
The Brain Connectome Project has made significant strides in uncovering the structural
connections within the brain on various levels. This has led to the question of how brain …
connections within the brain on various levels. This has led to the question of how brain …
Nonlinearity+ networks: A 2020 vision
MA Porter - Emerging frontiers in nonlinear science, 2020 - Springer
I briefly survey several fascinating topics in networks and nonlinearity. I highlight a few
methods and ideas, including several of personal interest, that I anticipate to be especially …
methods and ideas, including several of personal interest, that I anticipate to be especially …
Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions
Recent advances in network science have resulted in two distinct research directions aimed
at augmenting and enhancing representations for complex networks. The first direction, that …
at augmenting and enhancing representations for complex networks. The first direction, that …
Investigating cognitive network models of learners' knowledge representations
C Siew - Journal of Learning Analytics, 2022 - learning-analytics.info
This commentary discusses how research approaches from Cognitive Network Science can
be of relevance to research in the field of Learning Analytics, with a focus on modelling the …
be of relevance to research in the field of Learning Analytics, with a focus on modelling the …
Towards hypergraph cognitive networks as feature-rich models of knowledge
Conceptual associations influence how human memory is structured: Cognitive research
indicates that similar concepts tend to be recalled one after another. Semantic network …
indicates that similar concepts tend to be recalled one after another. Semantic network …
Curiosity as filling, compressing, and reconfiguring knowledge networks
Theoretical constructs, such as the information gap theory and compression progress theory,
seek to explain how humans practice curiosity. According to the former, curiosity is the drive …
seek to explain how humans practice curiosity. According to the former, curiosity is the drive …