This study aimed to investigate effects of peer feedback types and feedback acceptance levels on academic achievement in project-based learning. The participants were 70 middle-school students taking an English course. They were divided into corrective and suggestive feedback groups. These participants were asked to create user-created content (UCC) as an individual task and provide peer feedback on a peer's UCC in the same type of feedback group. Results showed that there were significant differences in academic achievement according to peer feedback types (corrective vs. suggestive) and feedback acceptance levels (high vs. low). In particular, the suggestive peer feedback group had higher academic achievement than the corrective peer feedback group. Moreover, the group with a high level of feedback acceptance gained higher academic achievement than the group with a low level of feedback acceptance. Moreover, there was an interaction effect between peer feedback types and feedback acceptance on academic achievement. These results indicate that peer feedback types and feedback acceptance should be considered for effective peer feedback activity. These findings provide practical implications for the design and implementation of peer feedback activity in project-based learning.
In this paper, the characteristics of peer-evaluation and self-evaluation of team activity participation in project-based learning and their usability were investigated. The characteristics of peer-evaluation and self-evaluation are as follows. First, in peer-evaluation and self-evaluation of project-based learning, the correlation between the two evaluation scores was very high. When students' scores from their peers correlate very well with the scores they give themselves, it means that they apply the same criteria to their peers and to themselves when evaluating team activity. Second, there was no difference in peer-evaluation and self-evaluation scores between groups with different written test scores. The fact that peer-evaluation and self-evaluation scores do not change according to academic ability shows that the two evaluation areas are independent. Third, the self-evaluation score in project-based learning is statistically significantly higher than the score received from peers. This raises doubts about the fairness of self-evaluation. Therefore, in this paper, it is suggested that self-evaluation of team activities in project-based learning is carried out together with peer-evaluation, but only peer-evaluation is reflected in credits.
The researchers in the field of cognitive science and learning science suggest that the teaching activity induces the elaborative and meaningful learning. Actually, lots of research findings have shown the beneficial effect of learning by teaching such as peer tutoring. But peer tutoring has some limitations in the practical learning context. To overcome some limitations, the new concept of "learning by teaching" through the agent called Teachable Agent. The teachable agent is a modified version of traditional intelligent tutoring system that assigns a role of tutor to teach the agent. The teachable agent monitors individual difference and provides a student with a chance for deep learning and motivation to learn by allowing them to play an active role in the process of learning. That is, The teaching activity induces the elaborative and meaningful learning. This study compared the effects of our teachable agent, KORI, and peer tutoring on the cognition and motivation. The field experiment was conducted to examine whether learning by teaching the teachable agent would be more effective than peer tutoring and reading condition. In the experiment, all participants took 30 minutes lesson on rock and rock cycle together to acquire the base knowledge in the domain. After the lesson, participants were randomly assigned to one of the three experimental conditions; reading condition, peer tutoring condition, and teachable agent condition. Next, participants of each condition moved into separated place and performed their own learning activity. After finishing all of the learning activities in each condition, all participants were instructed to rate the interestingness using a 5-point scale on their own learning activity and leaning material, and were given the comprehension test. The results indicated that the teachable agent condition and the peer tutoring condition showed more interests in the learning than the reading condition. It is suggested that teachable agent has more advantages in overcoming the several practical limitations of peer tutoring such as restrictions in time and place, tutor's cognitive burden, unnecessary interaction during peer tutoring. The applicability and prospects of the teachable agent as an efficient substitute for peer tutoring and traditional intelligent tutoring system were also discussed.
The purpose of this study is to analyze class satisfaction with peer evaluation in Collaborative Learning-based classes. For collaborative learning-based classes, problem-based learning and project-based learning were selected. Educational implications were derived by designing Instructional procedures of Collaborative Learning-based classes, Peer evaluation types and questionnaire design, Peer evaluation progress of Collaborative Learning-based classes, Class satisfaction research and analysis In Collaborative Learning-based classes. The subjects of the study were participants in Collaborative Learning-based classes selected as problem-based learning and project-based classes. For class satisfaction with peer evaluation in Collaborative Learning-based classes, a survey was conducted on 168 participants A University in Korea. The research tool was designed as Learning procedures for peer evaluation Collaborative Learning-based classes is Team Building, Plan to the Task, To do Task, Mid-check on task, Task completion, Presentation & Evaluation, Reflection & Self-Evaluation. The content validity of items was confirmed by CVR of 12 experts. In the research results, the average class satisfaction of peer evaluation is 4.05(SD=91), followed by class concentration, diligence, voluntary, learning atmosphere. As a result of t-testing the difference in class type between collaborate learning-based classes, the satisfaction of PBL was higher than that of PjBL and a statistically significant difference was observed. The result of this study have significance in providing implications for class design and operation for the application and expansion of peer evaluation in higher education. However, there is a limit to generalization as a result of research using convenience.
The Journal of Korean Academic Society of Nursing Education
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v.25
no.2
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pp.186-196
/
2019
Purpose: This study was conducted to identify types of peer feedback in nursing skills performance training and to investigate emotional response, perceived quality of feedback and self-efficacy for learning from peer feedback. Methods: A total of 110 second-year nursing students attending fundamentals of nursing classes at a university participated in 2017. Participants received peer feedback from one selected colleague who observed their skills performance, and completed a questionnaire. Contents of peer feedback video recordings were transcribed and classified into seven types of feedback. Data were analyzed using an independent t-test, ANOVA and Pearson correlation. Results: Participants mostly received feedback of 'correcting' and 'providing information.' Positive emotional responses from peer feedback were above medium, and negative emotional responses were low. The perceived quality of peer feedback was moderate and self-efficacy for learning was high. Quality of feedback correlated with negative emotional response (r=-.24, p=.014), and self-efficacy for learning (r=.35, p<.001). Self-efficacy for learning correlated with intimacy with peers (r=.24, p=.011) and positive emotional response (r=.21, p=.028). Conclusion: The results suggest that peer feedback in skill training could be used in terms of emotional response and self-efficacy for learning.
The purpose of this study is to investigate the effects of peer tutoring and feedback on academic learning in university mathematics. We compared subject satisfaction and academic achievement between the test group and the control group. We classified the test group(82 participants) and the control group(134 non-participants) and then applied peer tutoring and feedback to the test group. The rest of the environment was the same except for participation in the program. According to results, it was confirmed that the subject satisfaction were significantly higher(significance level .05) in the test group, where the subject satisfaction were learning objectives and expectation, learning satisfaction, and learning effect. Furthermore, in the change of academic achievement, the rate of decrease was lower and the rate of increase was higher in the test group than the control group. The satisfaction of participants was 4.33(Likert scale 5), and this trend tended to be same regardless of gender, high school course, or admission process.
The purposes of the study are to investigate the effects on academic achievement and satisfaction of the reciprocal peer tutoring in university calculus. First, we classified the test group and the control group and then applied the reciprocal peer tutoring to the test group. According to results, the reciprocal peer tutoring is very effective in improving academic achievement. Second, the pre-survey and the post-survey were conducted to the test group. The survey contains five categories including 1) background of the participants, 2) learning objectives and expectation, 3) the intention of the continual learning Mathematics, 4) the individual self-efficacy, and 5) general Mathematics learning satisfaction. We found some facts from the difference between the pre and post surveys. The learning satisfaction has improved after the reciprocal peer tutoring in the test group. Even though this trend has not changed regardless of sex, high school levels and teaching understanding.
Journal of the Korean Institute of Intelligent Systems
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v.22
no.5
/
pp.624-630
/
2012
The peer review learning is a method which improves learning outcome of students through feedback between students and the observation and analysis of other students. One of the important problems in a peer review system is to find proper evaluators to each learner considering characteristics of students for improving learning outcomes. Some of peer review systems randomly assign peer review evaluators to learners, or chose evaluators based on limited strategies. However, these systems have a problem that they do not consider various characteristics of learners and evaluators who participate in peer reviews. In this paper, we propose a novel prediction approach of learning outcomes to apply peer review systems considering various characteristics of learners and evaluators. The proposed approach extracts representative attributes from the profiles of students and predicts learning outcomes using various regression models. In order to verify how much outliers affect on the prediction of learning outcomes, we also apply several outlier removal methods to the regression models and compare the predictive performance of learning outcomes. The experiment result says that the SVR model which does not removes outliers shows an error rate of 0.47% on average and has the best predictive performance.
The necessity of this study was to improve academic achievement and math attitudes through leveled reciprocal peer learning, and the specific purpose was as follows. First, each unit seeks to select learning methods and contents for each level of class for reciprocal peer learning, second, develop activity sites for each level through curriculum analysis, and third, improve academic achievement and math attitudes through classes that apply reciprocal peer learning activities. The study was conducted on 60 second graders of 00 High School in 00 Metropolitan City. Two classes were selected for the midterm exam results for the first semester of the second grade. Class 1 was divided into the experimental group and the other class 1 was divided into the comparative group, and 13 classes were conducted for about 2 months from May 1 to July 4, 2020. The experimental group (30 students) was a class that applied leveled reciprocal peer learning activities, and the comparative group (30 students) was a class that was taught based on traditional textbooks. As a result of this study, first, in this study, it was possible to improve academic achievement and math attitudes by setting learning contents for each unit and applying reciprocal peer learning activities for each level. Second, the experimental group taught by applying leveled reciprocal peer learning activities was effective in academic achievement and math attitudes compared to the comparative group taught based on traditional textbooks to students in the upper, middle, and lower groups. Third, in the class applying leveled reciprocal peer learning activities, low-level students who were neglected in math classes were also interested in the class and actively participated in it, showing improvement.
This paper aims to apply two ways of student evaluation, i.e. peer- and self-evaluation to TBL(team based learning) class and to explore the difference between two evaluations by gender and grade as well as their relationships, and finally to provide an explanation for the improvement of evaluation ways in TBL class. There has been much research about TBL and its related factors. However, according to the examination of both domestic and overseas researches concerning the application of peer- and self-evaluation to TBL class, few studies have focused on them in terms of the engineering curriculum. This study was conducted with 251 engineering students at P University, and peer- and self-evaluation in TBL class have been measured. Our findings show that firstly, there were significant grade differences in self-evaluation of engineering students. Second, there were no significant gender and grade differences in peer-evaluation. Third, we found a significant correlation between the two factors, self- and peer-evaluation. Also there was a significant correlation among variables of subcategories. Based on these findings, it is expected to provide an explanation for the application of peer- and self-evaluation in TBL class and will be useful for the improvement plans of the related courses in engineering school.
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