Quantifying children’s everyday experiences

Project: Individual grant

Project participants

Description

Jacobs Foundation Research Fellowship

Manuel Bohn is a developmental psychologist interested in the psychological foundations of human communication. His current research focuses on how children’s everyday experiences relate to their communicative and cognitive development. To address this question, he seeks to integrate tools developed in Computer Science with methods from Developmental Psychology. For a broader theoretical perspective, he studies the communicative and cognitive abilities of our closest living relatives, the great apes. His goal is to understand the shared and unique aspects of human cognition that allow children to learn language and become healthy and functioning members of the society they grow up in.
StatusActive
Period01.01.2331.12.25

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Publications

  1. Holistic and scalable ranking of RDF data
  2. Lyapunov Convergence Analysis for Asymptotic Tracking Using Forward and Backward Euler Approximation of Discrete Differential Equations
  3. Contextual movement models based on normalizing flows
  4. Global Finite-Time Stabilization of Planar Linear Systems With Actuator Saturation
  5. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  6. Web-scale extension of RDF knowledge bases from templated websites
  7. Clause identification using entropy guided transformation learning
  8. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  9. Interpreting Strings, Weaving Threads
  10. Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints
  11. Analyzing math teacher students' sensitivity for aspects of the complexity of problem oriented mathematics instruction
  12. FaST: A linear time stack trace alignment heuristic for crash report deduplication
  13. What does it mean to be sensitive for the complexity of (problem oriented) teaching?
  14. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  15. A new way of assessing the interaction of a metallic phase precursor with a modified oxide support substrate as a source of information for predicting metal dispersion
  16. Computing regression statistics from grouped data
  17. Performance analysis for loss systems with many subscribers and concurrent services
  18. Stimulating Computing
  19. TARGET SETTING FOR OPERATIONAL PERFORMANCE IMPROVEMENTS - STUDY CASE -
  20. Integration of laser scanning and projection speckle pattern for advanced pipeline monitoring
  21. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  22. Analysis of long-term statistical data of cobalt flows in the EU
  23. Simulation based optimization of lot sizes for opposing logistic objectives
  24. Gaussian processes for dispatching rule selection in production scheduling
  25. Exploring the limits of graph invariant- and spectrum-based discrimination of (sub)structures.
  26. Learning Analytics with Matlab Grader in Undergraduate Engineering Courses
  27. Neural network-based estimation and compensation of friction for enhanced deep drawing process control
  28. Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations
  29. Self-regulation in error management training: emotion control and metacognition as mediators of performance effects
  30. Does thinking-aloud affect learning, visual information processing and cognitive load when learning with seductive details as expected from self-regulation perspective?
  31. For a return to the forgotten formula: 'Data 1 + Data 2 > Data 1'
  32. Using Language Learning Resources on YouTube
  33. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  34. A Theoretical Dynamical Noninteracting Model for General Manipulation Systems Using Axiomatic Geometric Structures
  35. Teachers’ use of data from digital learning platforms for instructional design