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List of Contributors

2015· other· en· W4245078394 on OpenAlexaboutno aff

Bibliographic record

VenueInnovations in higher education teaching and learning · 2015
Typeother
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceEmeraldPublishingMedia studiesSociologyPolitical scienceLawChemistry

Abstract

fetched live from OpenAlex

Citation (2015), "List of Contributors", Inquiry-Based Learning for Science, Technology, Engineering, and Math (Stem) Programs: A Conceptual and Practical Resource for Educators (Innovations in Higher Education Teaching and Learning, Vol. 4), Emerald Group Publishing Limited, Bingley, pp. ix-x. https://doi.org/10.1108/S2055-364120150000004022 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Amelia J. Ahern-Rindell University of Portland, Portland, OR, USA Teresa Bettencourt University of Aveiro, Aveiro, Portugal Patrick Blessinger International HETL Association, New York, NY, USA Barb Bloemhof McMaster University, Hamilton, Ontario, Canada Jacqueline Broerse VU University, Amsterdam, The Netherlands Mindy Capaldi Valparaiso University, Valparaiso, IN, USA John M. Carfora Loyola Marymount University, Los Angeles, CA, USA Lorraine Carter Nipissing University, North Bay, Ontario, Canada Fabio Dovigo University of Bergamo, Bergamo, Italy Richard R. Hake Indiana University, Bloomington, IN, USA Philip Hawes Whitireia Community Polytechnic, Porirua, New Zealand Henk Huijser Batchelor Institute of Indigenous Tertiary Education, Batchelor, Australia Megan Y. C. A. Kek University of Southern Queensland, Toowoomba, Australia Les Kirkup University of Technology, Sydney, New South Wales, Australia Wanda S. Konijn VU University, Amsterdam, The Netherlands Natalie Kuldell Massachusetts Institute of Technology, Cambridge, MA, USA Jeroen Maas VU University, Amsterdam, The Netherlands Gina J. Mariano Troy University, Troy, AL, USA William F. McComas University of Arkansas, Fayetteville, AR, USA Rudolph Mitchell Massachusetts Institute of Technology, Cambridge, MA, USA Vanessa R. Pitts Bannister Florida A&M University, Tallahassee, FL, USA Vincenza Rocco University of Bergamo, Bergamo, Italy Richard E. Shope Loyola Marymount University, Los Angeles, CA, USA Susana Silva University of Coimbra, Coimbra, Portugal Lorraine Stefani University of Auckland, Auckland, New Zealand Ana Cristina Tavares University of Coimbra, Coimbra, Portugal Ruth Terwijn University of Southern Queensland, Toowoomba, Australia Wendy Trimmer Whitireia Community Polytechnic, Porirua, New Zealand Dylan Powell Williams University of Leicester, Leicester, UK Baiba Zarins Nipissing University, North Bay, Ontario, Canada Marjolein B. M. Zweekhorst VU University, Amsterdam, The Netherlands Book Chapters Inquiry-Based Learning for Science, Technology, Engineering, and Math (STEM) Programs: A Conceptual and Practical Resource for Educators Innovations in Higher Education Teaching and Learning Inquiry-Based Learning for Science, Technology, Engineering, and Math (Stem) Programs: A Conceptual and Practical Resource for Educators Copyright Page List of Contributors Series Editor’s Introduction Foreword Part I: Concepts and Principles Innovative Approaches in Teaching and Learning: An Introduction to Inquiry-Based Learning for STEM Programs Inquiry-Based Learning in an Undergraduate Honours Program: Lessons from the Bachelor of Health Sciences Honours Program at McMaster University Two Decades of Inquiry-Oriented Learning in First Year Undergraduate Physics Laboratories: An Australian Experience Arnold Arons: Pioneer of Inquiry-Based Learning in Physics Part II: Practices and Strategies MIT’s Introduction to Biological Engineering: A Longitudinal Study of a Freshman Inquiry-Based Class Problem Based Learning Approaches to Teaching Chemistry An Intentional and Facilitative Student-Centered Approach to Enhance Inquiry-Based Learning through Authentic, Hypothesis-Driven Research IBL and Mathematics: The Necessity of Flexible Knowledge Advantages of Science Education Outdoors through IBSE Methodology Inquiry-Based Learning in Action: Reflections on an Interdisciplinary Master’s Program in the Health and Life Sciences A Narrative-Based Bachelor of Science in Nursing Program: Experiences and Insights Modeling Scientific Inquiry to Guide Students in the Practices of Science: The ED3U Teaching Model of Conceptual Change in Action Utilising Context in Learning Evaluating European Inquiry-Based Education Projects through the Lens of Evaluation Capacity Building Inquiry-Based Learning in Mathematics Enhancing Inquiry-Based Learning Environments with the Power of Problem-Based Learning to Teach 21st Century Learning and Skills About the Authors Author Index Subject Index

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.727
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.009
Science and technology studies0.0040.001
Scholarly communication0.0130.007
Open science0.0030.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.7270.735

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.294
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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