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Record W1577721932 · doi:10.25071/1497-3170.2504

Voices from the Classroom: Reflections on Teaching and Learning in HigherEducation

2001· article· en· W1577721932 on OpenAlexvenueno aff
Janice Newton, Jerry Ginsburg, Jan Rehner, Pat Rogers, Susan Sbrizzi, John Spencer

Bibliographic record

VenueCORE · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicUniversity Challenges and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsPedagogyPsychologyStudent engagementMathematics educationSilenceSociology

Abstract

fetched live from OpenAlex

Introduction: Responsibility, Respect, Research and Reflection in Higher Education SECTION I: POWER, DIVERSITY AND EQUITY IN THE CLASSROOM Introduction Part One: Student Voices 1. Gender, Power and Silence in the Classroom: Our Experiences Speak for Themselves 2. Fog and Frustration: The Graduate Student Experience 3. 'Dissertation Dementia': Reflections on One Woman's Graduate Experience Part Two: Teachers' Voices 1. Power in the Classroom 2. The University Classroom: From Laboratory to Liberatory Education 3. Diversity in the Classroom: Engagement and Resistance 4. Responsibility and Respect in Critical Pedagogy 5. Feminist Pedagogy: Paradoxes in Theory and Practice 6. Teaching 'Women and Men in Organizations': Feminist Pedagogy in the Business School 7. Empowering Students Through Feminist Pedagogy 8. Heterosexism in the Classroom 9. DisABILITY in the Classroom: The Forgotten Dimension of Diversity? 10. Teaching Students with Learning Disabilities 11. Avoiding the Retrofitted Classroom: Strategies for Teaching Students with Disabilities 12. Adult Students 13. English-as-a-Second-Language Students SECTION II: THEORIES AND MODELS OF STUDENT LEARNING Introduction 1. Teaching Styles/Learning Styles: The Myers Briggs Model 2. The Gregorc Model of Learning Styles 3. Student Development: From Problem-Solving to Problem-Finding 4. Using Theories about Student Learning to Improve Teaching SECTION III: COURSE DESIGN Introduction 1. Course Planning: From Design to Active Classroom 2. Developing and Teaching a Science Course: A Junior Faculty Member's Perspective 3. The Dialectic of Course Development: I Theorize, They React... and Then? 4. Beyond Bare Facts: Teaching Goals in Science 5. 'Why Didn't He Just Say It?': Getting Students Interested in Language SECTION IV: WORKING WITH GRADUATE STUDENTS Introduction 1. Graduate Supervisory Practices 2. Working Together: The Teaching Assistant-Professor Relationship 3. Working with Teaching Assistants 4. Issues for International Teaching Assistants SECTION V: ACADEMIC HONESTY Introduction 1. Academic Dishonesty 2. Plagiarism and Student Acculturation: Strangers in the Strange Lands of our Disciplines 3. Plagiarism and the Challenge of Essay Writing: Learning from our Students 4. Honesty in the Laboratory 5. Electronic Plagiarism: A Cautionary Tale SECTION VI: TEACHING AND LEARNING STRATEGIES Introduction Part One: Lecturing * Effective Lecturing Techniques * Improving Large-Class Lecturing * Improving Student Learning in Lectures Part Two: Class Participation * Dead Silence... A Teacher's Nightmare * Evoking and Provoking Student Participation * Resistance in the Classroom * Computer-Mediated Communication: Some Thoughts about Extending the Classroom Part Three: Seminars, Tutorials and Small-Group Learning * Study Group Guide for Instructors and Teaching Assistants * Warm-Ups: Lessening Student Anxiety in the First Class * Small is Beautiful: Using Small Groups to Enhance Student Learning * Integrating Group Work into our Classes * Scrapbook Presentations: An Exercise in Collaborative Learning * The Field Walk * Teaching with Cases * Stages in Group Dynamics * The Joy of Seminars * The Office Hour: Not Just Crisis Management * Negotiating Power in the Classroom: The Example of Group Work SECTION VII: ASSIGNMENTS AND EVALUATION Introduction Part One: Reading * When No One Has Done the Reading * A Strategy for Encouraging Students to do Readings * Telling a Book by Its Cover * The Sherlock Holmes Approach to Critical Reading (Or How to Help Students Become Good 'Detextives') Part Two: Research Essays and Other Writing Assignments * Sequencing Assignments * An Experiment in Writing and Learning Groups * Paper Chase: The Sequel * Working with Students' Writing * What Happens After You Say, 'Please Go to the Writing Centre?' Part Three: Grading and Evaluation * Evaluating Student Writing: Problems and Possibilities * Fast, Fair and Constructive: Grading in the Mathematical Sciences * An Individualized Approach to Teaching and Evaluation * The Norwegian Motivator, or How I Make Grading Work for Me and My Students SECTION VIII: DEVELOPING AND ASSESSING YOUR TEACHING Introduction Part One: Classroom Assessment * Improving Student Learning Through Feedback: Classroom Assessment Techniques * The One-Minute Paper... Two Success Stories * Developing the One-Minute Paper Part Two: Mid-Course Evaluation * Formative Evaluation Surveys * Facilitating Student Feedback * Feedback Strategies Part Three: Collegial Consultation * Peer Pairing * Peer Pairing in French Studies Part Four: Teaching Evaluation Guide Part Five: Teaching Documentation Guide Contributors

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)0.007
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0090.008
Open science0.0020.010
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0160.003

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 head0.089
GPT teacher head0.362
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2001
Admission routes1
Has abstractyes

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