Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Background 2.1 Effective Tutoring Practice 2.1 Effective Tutoring Practice 2.2 Feedback for Tutor Training 2.2 Feedback for Tutor Training 2.3 Sequence Labeling for Feedback Generation 2.3 Sequence Labeling for Feedback Generation 2.4 Large Language Models in Education 2.4 Large Language Models in Education 3. Method 3.1 Dataset and 3.2 Sequence Labeling 3.1 Dataset and 3.2 Sequence Labeling 3.3 GPT Facilitated Sequence Labeling 3.3 GPT Facilitated Sequence Labeling 3.4 Metrics 3.4 Metrics 4. Results 4.1 Results on RQ1 4.1 Results on RQ1 4.2 Results on RQ2 4.2 Results on RQ2 5. Discussion 5. Discussion 6. Limitation and Future Works 6. Limitation and Future Works 7. Conclusion 7. Conclusion 8. Acknowledgments 8. Acknowledgments 9. References 9. References APPENDIX APPENDIX A. Lesson Principles A. Lesson Principles B. Input for Fine-Tunning GPT-3.5 B. Input for Fine-Tunning GPT-3.5 C. Scatter Matric of the Correlation on the Outcome-based Praise C. Scatter Matric of the Correlation on the Outcome-based Praise D. Detailed Results of Fine-Tuned GPT-3.5 Model's Performance D. Detailed Results of Fine-Tuned GPT-3.5 Model's Performance A. LESSON PRINCIPLES The following is the principle that a correct response should follow: Praising students for working hard and putting forth effort is a great way to increase student motivation. When the learning gets tough, giving correct praise is a powerful strategy to encourage students to keep going. The correct response should be : -perceived as sincere, earned, and truthful. -specific by giving details of what the student did well. -immediate with praise given right after the student action. -authentic and is not repeated often, such as “great job” which loses meaning and becomes predictable. -focused on the learning process, not ability (AJTutoring.com, 2022) Correct responses must follow some, but not all the above. There are two types of praise responses: Effort and Outcome praise -Effort praise focuses on the learning process. Effort praise recognizes students for putting forth effort and persevering through the learning process instead of focusing on whether a student got the problem correct or pure ability. -Outcome praise showcases student’s achievements, such as getting a grade A on an assignment or getting a problem correct, and is often, but not always, associated with unproductive praise. To receive full credit of correct praise, tutors cannot just say ”great job” and praise with no specific reasoning. Tutors need to praise for effort AND be positive and encouraging. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv Authors:
(1) Jionghao Lin, Carnegie Mellon University (jionghal@cs.cmu.edu);
(2) Eason Chen, Carnegie Mellon University (easonc13@cmu.edu);
(3) Zeifei Han, University of Toronto (feifei.han@mail.utoronto.ca);
(4) Ashish Gurung, Carnegie Mellon University (agurung@andrew.cmu.edu);
(5) Danielle R. Thomas, Carnegie Mellon University (drthomas@cmu.edu);
(6) Wei Tan, Monash University (wei.tan2@monash.edu);
(7) Ngoc Dang Nguyen, Monash University (dan.nguyen2@monash.edu);
(8) Kenneth R. Koedinger, Carnegie Mellon University (koedinger@cmu.edu). Authors: Authors: (1) Jionghao Lin, Carnegie Mellon University (jionghal@cs.cmu.edu); (2) Eason Chen, Carnegie Mellon University (easonc13@cmu.edu); (3) Zeifei Han, University of Toronto (feifei.han@mail.utoronto.ca); (4) Ashish Gurung, Carnegie Mellon University (agurung@andrew.cmu.edu); (5) Danielle R. Thomas, Carnegie Mellon University (drthomas@cmu.edu); (6) Wei Tan, Monash University (wei.tan2@monash.edu); (7) Ngoc Dang Nguyen, Monash University (dan.nguyen2@monash.edu); (8) Kenneth R. Koedinger, Carnegie Mellon University (koedinger@cmu.edu).

Part of HackerNoon's growing list of open-source research papers, promoting free access to academic material.

Lesson Principles: Defining Effective Praise in Tutoring

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Acknowledgments: Funding and Support for Explanatory Feedback Research

Effective Praise in Tutoring: Types and Training Challenges

Key Reads: Gender, Pair Programming, and Early Coding Education

Automated Explanatory Feedback for Tutor Training with GPT Models

Automated Feedback Systems for Enhanced Tutor Training

Sequence Labeling for Automated Feedback in Tutor Training

Acknowledgments: Funding and Support for Explanatory Feedback Research

Effective Praise in Tutoring: Types and Training Challenges

Key Reads: Gender, Pair Programming, and Early Coding Education

Automated Explanatory Feedback for Tutor Training with GPT Models

Automated Feedback Systems for Enhanced Tutor Training

Sequence Labeling for Automated Feedback in Tutor Training

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps