Papers and patents are becoming less disruptive over time

M Park, E Leahey, RJ Funk - Nature, 2023 - nature.com
Theories of scientific and technological change view discovery and invention as
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 …

Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory

P Tschisgale, P Wulff, M Kubsch - Physical Review Physics Education …, 2023 - APS
[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 …

Coding energy knowledge in constructed responses with explainable NLP models

S Gombert, D Di Mitri, O Karademir… - Journal of Computer …, 2023 - Wiley Online Library
Background Formative assessments are needed to enable monitoring how student
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 …

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 …

Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions

A Failla, S Citraro, G Rossetti - Applied Network Science, 2023 - Springer
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 …

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 …

Towards hypergraph cognitive networks as feature-rich models of knowledge

S Citraro, S De Deyne, M Stella, G Rossetti - EPJ Data Science, 2023 - epjds.epj.org
Conceptual associations influence how human memory is structured: Cognitive research
indicates that similar concepts tend to be recalled one after another. Semantic network …

Curiosity as filling, compressing, and reconfiguring knowledge networks

SP Patankar, D Zhou, CW Lynn, JZ Kim… - Collective …, 2023 - journals.sagepub.com
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 …