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    Maximizing the Benefits of Collaborative Learning in the College Classroom

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    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

    ν•™μŠ΅ μƒν™©μ—μ„œ ν† λ‘  효과 증진 λ°©μ•ˆ

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    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μΈλ¬ΈλŒ€ν•™ ν˜‘λ™κ³Όμ • 인지과학전곡,2019. 8. λ°•μ£Όμš©.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.학생이 λŠ₯λ™μ μœΌλ‘œ ν•™μŠ΅μ— μ°Έμ—¬ν•  λ•Œ 더 많이 λ°°μš΄λ‹€λŠ” κ²½ν—˜μ  증거듀이 μ œμ‹œλ˜κ³  μžˆμŒμ—λ„ λΆˆκ΅¬ν•˜κ³ , ν˜„μž¬μ˜ κ΅μœ‘μ€ μ—¬μ „νžˆ κ°•μ˜ 쀑심적이닀. 심지어 μ§€μ‹μ˜ 양이 μ€‘μš”ν•΄ λ³΄μ΄λŠ” κ³Όν•™, 기술, 곡학, 그리고 μˆ˜ν•™, 이λ₯Έλ°” STEM λΆ„μ•Όμ—μ„œλ„ 전톡적 κ΅μˆ˜λ²•μΈ κ°•μ˜λ³΄λ‹€ 학생듀이 λŠ₯λ™μ μœΌλ‘œ μˆ˜μ—…μ— μ°Έμ—¬ν•˜λŠ” 것이 더 많이 λ°°μš΄λ‹€. 이런 λ§₯λ½μ—μ„œ, λ³Έ μ—°κ΅¬λŠ” λ‹€μŒμ˜ 두 가지 λͺ©μ μ„ μœ„ν•΄ μˆ˜ν–‰λ˜μ—ˆλ‹€. λ¨Όμ €, 볡슡과의 비ꡐλ₯Ό 톡해 토둠이 ν•™μŠ΅ μ„±κ³Όλ₯Ό λ†’μΈλ‹€λŠ” 것을 ν™•μΈν•˜κ³ μž ν•œλ‹€. 두 번째 λͺ©μ μ€, μ„ ν–‰ν•˜λŠ” ν™œλ™μ— μ˜ν•΄ ν† λ‘ μ˜ νš¨κ³Όκ°€ λ‹¬λΌμ§€λŠ”μ§€λ₯Ό μ•Œμ•„λ³΄κ³ μž ν•œλ‹€. μ‹€ν—˜ κ²°κ³Ό, κ°•μ˜λ₯Ό 듀은 집단 μ€‘μ—μ„œ, λ³΅μŠ΅μ„ ν•œ 집단보닀 토둠을 μ§„ν–‰ν•œ 집단이 μ „λ°˜μ μΈ ν•™μŠ΅ μ„±κ³Όκ°€ λ†’μ•˜λ‹€. λ˜ν•œ 토둠을 ν•œ 집단 μ€‘μ—μ„œλ„, κ°•μ˜ 후에 ν† λ‘ ν•œ 집단보닀 자슡 후에 ν† λ‘ ν•œ μ§‘λ‹¨μ˜ ν•™μŠ΅ μ„±κ³Όκ°€ μš°μˆ˜ν–ˆλ‹€. μ΄λŸ¬ν•œ κ²°κ³ΌλŠ” 자슡이 토둠을 λ”μš± ν’μ„±ν•˜κ²Œ ν•œ κ²ƒμ—μ„œ κΈ°μΈν–ˆλ‹€. 결둠적으둜, λ³Έ μ‹€ν—˜μ€ ν˜„μž¬μ˜ κ°•μ˜ μ€‘μ‹¬μ˜ ꡐ윑 방식을 μ–΄λ–»κ²Œ λ°”κΎΈμ–΄μ•Ό 할지에 λŒ€ν•œ ꡐ윑적이고, μ‹€μš©μ μΈ μ‹œμ‚¬μ μ„ μ œκ³΅ν•œλ‹€λŠ” μ μ—μ„œ μ€‘μš”ν•˜λ‹€.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 ꡭ문초둝 42 Acknowledgements 43Maste
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