How Does Augmented Observation Facilitate Multimodal Representational Thinking? Applying Deep Learning to Decode Complex Student Construct
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
How Does Augmented Observation Facilitate Multimodal Representational Thinking? Applying Deep Learning to Decode Complex Student Construct
Authors
Keywords
-
Journal
Journal of Science Education and Technology
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-09-16
DOI
10.1007/s10956-020-09856-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multiple Representations in Computational Thinking Tasks: A Clinical Study of Second-Grade Students
- (2020) Tamara J. Moore et al. Journal of Science Education and Technology
- Investigating Students’ Explanations about Friction Concepts after Interacting with a Visuohaptic Simulation with Two Different Sequenced Approaches
- (2020) Yoselyn Walsh et al. Journal of Science Education and Technology
- Going through a phase: Infrared cameras in a teaching sequence on evaporation and condensation
- (2019) Christopher Robin Samuelsson et al. AMERICAN JOURNAL OF PHYSICS
- Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology
- (2018) An Tang et al. CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES
- Binary relevance for multi-label learning: an overview
- (2018) Min-Ling Zhang et al. Frontiers of Computer Science
- Exploring the relationship between online discourse and commitment in Twitter professional learning communities
- (2018) Wanli Xing et al. COMPUTERS & EDUCATION
- Students’ Development of Representational Competence Through the Sense of Touch
- (2017) Alejandra J. Magana et al. Journal of Science Education and Technology
- Prognosis Essay Scoring and Article Relevancy Using Multi-Text Features and Machine Learning
- (2017) Arif Mehmood et al. Symmetry-Basel
- Fast Extended One-Versus-Rest Multi-Label Support Vector Machine Using Approximate Extreme Points
- (2017) Zhongwei Sun et al. IEEE Access
- Automated analysis of short responses in an interactive synthetic tutoring system for introductory physics
- (2016) Christopher M. Nakamura et al. Physical Review Physics Education Research
- Automatic Coding of Short Text Responses via Clustering in Educational Assessment
- (2015) Fabian Zehner et al. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
- Automated Guidance for Thermodynamics Essays: Critiquing Versus Revisiting
- (2015) Dermot F. Donnelly et al. Journal of Science Education and Technology
- Soft-constrained Laplacian score for semi-supervised multi-label feature selection
- (2015) Abdelouahid Alalga et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A Cognitive Interpretation of Data Analysis
- (2014) Garrett Grolemund et al. INTERNATIONAL STATISTICAL REVIEW
- A Review on Multi-Label Learning Algorithms
- (2013) Min-Ling Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Assessing Scientific Practices Using Machine-Learning Methods: How Closely Do They Match Clinical Interview Performance?
- (2013) Elizabeth P. Beggrow et al. Journal of Science Education and Technology
- What Are They Thinking? Automated Analysis of Student Writing about Acid–Base Chemistry in Introductory Biology
- (2012) Kevin C. Haudek et al. CBE-Life Sciences Education
- Current status, opportunities and challenges of augmented reality in education
- (2012) Hsin-Kai Wu et al. COMPUTERS & EDUCATION
- Pedagogical Affordances of Multiple External Representations in Scientific Processes
- (2012) Hsin-Kai Wu et al. Journal of Science Education and Technology
- Applying Computerized-Scoring Models of Written Biological Explanations across Courses and Colleges: Prospects and Limitations
- (2011) Minsu Ha et al. CBE-Life Sciences Education
- Visualizing Chemistry with Infrared Imaging
- (2011) Charles Xie JOURNAL OF CHEMICAL EDUCATION
- Transforming Biology Assessment with Machine Learning: Automated Scoring of Written Evolutionary Explanations
- (2011) Ross H. Nehm et al. Journal of Science Education and Technology
- An extended one-versus-rest support vector machine for multi-label classification
- (2011) Jianhua Xu NEUROCOMPUTING
- Affordances and Limitations of Immersive Participatory Augmented Reality Simulations for Teaching and Learning
- (2008) Matt Dunleavy et al. Journal of Science Education and Technology
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now