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Record Nr. |
UNINA9910298318203321 |
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Titolo |
Innovative Strategies for Teaching in the Plant Sciences / / edited by Cassandra L. Quave |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (319 p.) |
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Disciplina |
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Soggetti |
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Botany |
Science - Study and teaching |
Teaching |
Plants |
Biodiversity |
Systems biology |
Plant Sciences |
Science Education |
Teaching and Teacher Education |
Plant Systematics/Taxonomy/Biogeography |
Systems Biology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Carrying Plant Knowledge Forward in the USA -- Lessons Learned in Development of an Interdisciplinary Science Curriculum Support Organization -- The Contribution of Ethnobiology to Teaching Plant Sciences: Student and Faculty Perspectives -- From Learning to Teaching: Bridging Students’ Experience and Teachers’ Expectations -- Research-Based Learning -- Aligning Plant Identification Curricula to Disciplinary Standards Through the Framework of Student-Centered Learning -- Cultivation of Local Botanical Knowledge or Knowledge of Nature Using Interdisciplinary, Innovative and Mind/Brain-Based |
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Techniques -- “What’s That Called?” Folk Taxonomy and Connecting Students to the Human-Nature Interface -- Learning from the Land: Incorporating Indigenous Perspectives into the Plant Sciences -- Pedagogy and Botany of the Columbian Biological Exchange: The 1491 Meal -- Teaching Plant Science in School and Community Settings -- Using Community Resources for Ethnobotany Courses -- Learning in Paradise: The Role of Botanic Gardens in University Education -- Teaching Ethnobotany Through Field Research: A Case Study Integrating Conservation with Tibetan Traditional Ecological Knowledge -- Excursions in Teaching Plant Science Through the Local Ethnobotany of the Food-Medicine Continuum: Field Trips to Traditional Specialty Food Market -- Ecosystem Excitement: Using Everyday Items, Projects, Field Trips and Exotic Images to Connect Students to Plants -- Teaching Ethnobiology Online at a Canadian Distance Learning University -- Linking Student Skill-Building with Public Outreach and Education. |
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Sommario/riassunto |
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Innovative Strategies for Teaching in the Plant Sciences focuses on innovative ways in which educators can enrich the plant science content being taught in universities and secondary schools. Drawing on contributions from scholars around the world, various methods of teaching plant science is demonstrated. Specifically, core concepts from ethnobotany can be used to foster the development of connections between students, their environment, and other cultures around the world. Furthermore, the volume presents different ways to incorporate local methods and technology into a hands-on approach to teaching and learning in the plant sciences. Written by leaders in the field, Innovative Strategies for Teaching in the Plant Sciences is a valuable resource for teachers and graduate students in the plant sciences. |
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2. |
Record Nr. |
UNINA9910586636203321 |
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Titolo |
Case-Based Reasoning Research and Development : 30th International Conference, ICCBR 2022, Nancy, France, September 12–15, 2022, Proceedings / / edited by Mark T. Keane, Nirmalie Wiratunga |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (420 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13405 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Information technology - Management |
Computer engineering |
Computer networks |
Artificial Intelligence |
Computer Application in Administrative Data Processing |
Computer Engineering and Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Explainability in CBR Using Case-based Reasoning for Capturing Expert Knowledge on Explanation Methods -- A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations -- How close is too close? The Role of Feature Attributions in Discovering Counterfactual Explanations -- Algorithmic Bias and Fairness in Case-Based Reasoning -- ”Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI) -- Representation and Similarity Extracting Case Indices from Convolutional Neural Networks: A Comparative Study -- Exploring the Effect of Recipe Representation on Critique-based Conversational Recommendation -- Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study -- Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud -- |
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Adaptation and Analogical Reasoning Case Adaptation with Neural Networks: Capabilities andLimitations -- A Deep Learning Approach to Solving Morphological Analogies -- Theoretical and Experimental Study of a Complexity Measure for Analogical Transfer -- Graphs and Optimisation Case-Based Learning and Reasoning Using Layered Boundary Multigraphs -- swarm optimization in small case bases for software effort estimation -- MicroCBR: Case-based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting -- GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning -- Never judge a case by its (unreliable) neighbors: Estimating Case Reliability for CBR -- CBR and Neural Networks Improving Automated Hyperparameter Optimization with Case-Based Reasoning -- A factorial study of neural network learning from differences for regression -- ase-Based Inverse Reinforcement Learning Using Temporal Coherence -- Analogy-based post-treatment of CNN image segmentations -- Case-Based Applications An Extended Case-Based Reasoning Approach to Race-Time Prediction in Recreational Marathon Runners -- Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI -- A Case-Based Approach for Content Planning in Data-to-Text Generation -- The use of computer-assisted Case-Based Reasoning to support clinical decision-making – a scoping review. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 30th International Conference on Case-Based Reasoning, ICCBR 2022, which took place in Nancy, France, during September 12-15, 2022. The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI). |
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