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Maximizing the Benefits of Collaborative Learning in the College Classroom
abstract: This study tested the effects of two kinds of cognitive, domain-based preparation tasks on learning outcomes after engaging in a collaborative activity with a partner. The collaborative learning method of interest was termed "preparing-to-interact," and is supported in theory by the Preparation for Future Learning (PFL) paradigm and the Interactive-Constructive-Active-Passive (ICAP) framework. The current work combined these two cognitive-based approaches to design collaborative learning activities that can serve as alternatives to existing methods, which carry limitations and challenges. The "preparing-to-interact" method avoids the need for training students in specific collaboration skills or guiding/scripting their dialogic behaviors, while providing the opportunity for students to acquire the necessary prior knowledge for maximizing their discussions towards learning. The study used a 2x2 experimental design, investigating the factors of Preparation (No Prep and Prep) and Type of Activity (Active and Constructive) on deep and shallow learning. The sample was community college students in introductory psychology classes; the domain tested was "memory," in particular, concepts related to the process of remembering/forgetting information. Results showed that Preparation was a significant factor affecting deep learning, while shallow learning was not affected differently by the interventions. Essentially, equalizing time-on-task and content across all conditions, time spent individually preparing by working on the task alone and then discussing the content with a partner produced deeper learning than engaging in the task jointly for the duration of the learning period. Type of Task was not a significant factor in learning outcomes, however, exploratory analyses showed evidence of Constructive-type behaviors leading to deeper learning of the content. Additionally, a novel method of multilevel analysis (MLA) was used to examine the data to account for the dependency between partners within dyads. This work showed that "preparing-to-interact" is a way to maximize the benefits of collaborative learning. When students are first cognitively prepared, they seem to make the most efficient use of discussion towards learning, engage more deeply in the content during learning, leading to deeper knowledge of the content. Additionally, in using MLA to account for subject nonindependency, this work introduces new questions about the validity of statistical analyses for dyadic data.Dissertation/ThesisPh.D. Educational Psychology 201
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Όλ¬Έ(μμ¬)--μμΈλνκ΅ λνμ :μΈλ¬Έλν νλκ³Όμ μΈμ§κ³Όνμ 곡,2019. 8. λ°μ£Όμ©.Although there is empirical evidence that students learn more when actively participating in learning, the current education is still lecture-centered. Even in science, technology, engineering, and mathematics, so-called STEM, where the amount of knowledge seems important, students learn more when they actively participate in classes than passively listening to a lecture. In this context, this study is conducted for two purposes. First, we seek to confirm that the discussion increases learning outcomes by comparing it with the review. The second purpose of the study is to find out whether the discussion effect is varied by the activity that precedes it. As a result of the experiment, among the groups who listened to the lecture, the discussion group performed better than the review group. In addition, among the groups in which the discussion was conducted, the learning outcomes of the groups discussed after self-study were superior to those discussed after the lecture. These results were due to self-study that made the discussion more plentiful. In conclusion, this study are important in that it provides educational and practical implications for how to change the current lecture-centered education.νμμ΄ λ₯λμ μΌλ‘ νμ΅μ μ°Έμ¬ν λ λ λ§μ΄ λ°°μ΄λ€λ κ²½νμ μ¦κ±°λ€μ΄ μ μλκ³ μμμλ λΆκ΅¬νκ³ , νμ¬μ κ΅μ‘μ μ¬μ ν κ°μ μ€μ¬μ μ΄λ€. μ¬μ§μ΄ μ§μμ μμ΄ μ€μν΄ λ³΄μ΄λ κ³Όν, κΈ°μ , 곡ν, κ·Έλ¦¬κ³ μν, μ΄λ₯Έλ° STEM λΆμΌμμλ μ ν΅μ κ΅μλ²μΈ κ°μλ³΄λ€ νμλ€μ΄ λ₯λμ μΌλ‘ μμ
μ μ°Έμ¬νλ κ²μ΄ λ λ§μ΄ λ°°μ΄λ€. μ΄λ° λ§₯λ½μμ, λ³Έ μ°κ΅¬λ λ€μμ λ κ°μ§ λͺ©μ μ μν΄ μνλμλ€. λ¨Όμ , 볡μ΅κ³Όμ λΉκ΅λ₯Ό ν΅ν΄ ν λ‘ μ΄ νμ΅ μ±κ³Όλ₯Ό λμΈλ€λ κ²μ νμΈνκ³ μ νλ€. λ λ²μ§Έ λͺ©μ μ, μ ννλ νλμ μν΄ ν λ‘ μ ν¨κ³Όκ° λ¬λΌμ§λμ§λ₯Ό μμλ³΄κ³ μ νλ€. μ€ν κ²°κ³Ό, κ°μλ₯Ό λ€μ μ§λ¨ μ€μμ, 볡μ΅μ ν μ§λ¨λ³΄λ€ ν λ‘ μ μ§νν μ§λ¨μ΄ μ λ°μ μΈ νμ΅ μ±κ³Όκ° λμλ€. λν ν λ‘ μ ν μ§λ¨ μ€μμλ, κ°μ νμ ν λ‘ ν μ§λ¨λ³΄λ€ μμ΅ νμ ν λ‘ ν μ§λ¨μ νμ΅ μ±κ³Όκ° μ°μνλ€. μ΄λ¬ν κ²°κ³Όλ μμ΅μ΄ ν λ‘ μ λμ± νμ±νκ² ν κ²μμ κΈ°μΈνλ€. κ²°λ‘ μ μΌλ‘, λ³Έ μ€νμ νμ¬μ κ°μ μ€μ¬μ κ΅μ‘ λ°©μμ μ΄λ»κ² λ°κΎΈμ΄μΌ ν μ§μ λν κ΅μ‘μ μ΄κ³ , μ€μ©μ μΈ μμ¬μ μ μ 곡νλ€λ μ μμ μ€μνλ€.Abstract i
Contents iii
List of Tables iv
List of Figures v
Chapter 1 Introduction 1
1.1 The Limitations of Traditional Teaching 1
1.2 Need for Interaction as an Alternative to Lectures 2
1.3 Present Study 6
Chapter 2 Experiment 1 8
2.1 Methodology 8
2.2 Results and Discussion 10
Chapter 3 Experiment 2 15
3.1 Methodology 15
3.2 Results and Discussion 16
Chapter 4 Experiment 3 19
4.1 Methodology 19
4.2 Results and Discussion 20
4.3 Why Is Self-Study Before Discussions More Effective? 22
Chapter 5 General Discussion 28
References 32
Appendix A Key Concepts Relevant to Learning Material 37
Appendix B Examples of Non-Interaction and Interaction Episodes 40
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Acknowledgements 43Maste
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