A Study on Grouping Strategy of Collaborative Learning Based on Clustering Algorithm

Liu, Qingtang; Ba, Shen; Huang, Jingxiu; Wu, Linjing; Lao, Chuanyuan

doi:10.1007/978-3-319-59360-9_25

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…The formation of strong teacher-student interactions is the single most essential factor in raising students' academic success levels. The present study supports the research findings of Liu (2017). According to his research, as compared to traditional learning approaches, cooperative learning is more effective.…”

Section: Discussionsupporting

confidence: 89%

“…Literature review A huge body of data in the literature supports the idea that good TSR is a key component of students' effective academic development (Pianta, 1999;Wigfield, 2002;Goodwin, 1999 Liu, 2017), a teacher has the most significant role in teachinglearning activities, and is the core of the teaching-learning process. TSR is the key factor in increasing students' academic performance (Khan, 2011).…”

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confidence: 99%

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Impact of Teacher-Student Relationship on Motivation levels & Academic Performance in Learning Chinese as a Second Language among Pakistani Students

Nawaz

2023

ESJ

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The purpose of this study was to examine the effect of Teacher Student Relationship (TSR) on Pakistani students' motivation and academic performance in a Chinese as a Second Language class. The sample of the study consists of 80 Chinese-language elementary school students. A total of three research questions and hypotheses were used in the study. A pre-post-test design was used to achieve the objectives of the study in which special treatment was given to the experimental group, whereas no treatment was given to the control group. SPSS was used as a statistical tool to examine the results of the present research. The results of the study proved the effectiveness of TSR in improving students’ motivation and academic achievement, as the experimental group showed a better performance in the post-test than the control group. Moreover, the correlation test results indicated a positive significant relation between the TSR, academic performance, and student motivation.

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Section: Discussionsupporting

confidence: 89%

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confidence: 99%

Impact of Teacher-Student Relationship on Motivation levels & Academic Performance in Learning Chinese as a Second Language among Pakistani Students

Nawaz

2023

ESJ

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“…Students are more likely to help one another when they feel a sense of belonging to a group. Various studies have supported the idea that student interaction enhances their education, leading to improvements not only in their cognitive abilities but also in their social skills (Inuwa et al, 2015;Liu et al, 2017;Najmonnisa & Saad, 2017).…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study to Assess the Impacts of Cooperative Teaching on Academic Performance of Higher Secondary School Students in Faisalabad

Arshed,

Ahad,

Qayyum

et al. 2023

J. educ. soc. stud.

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The educational system in Pakistan is mainly dependent on traditional teaching approaches, which are often regarded as ineffective and have a poor impact on the academic performance of students. We conducted this experimental study to examine the cooperative teaching impacts on the academic performance of students studying at the higher secondary school level in tehsil Faisalabad. Collaborative learning is a valuable instructional approach where students allocate tasks among themselves, assist each other (especially those who have difficulty), offer positive and negative feedback, and work together to achieve a collective outcome. Through such collaboration, students exhibit greater engagement and academic success. In this study, we compared students' academic performance by comparing the experimental and control group students. Control groups comprised of total 40 students. A single teacher conducted academic activities with them. Whereas in the experimental group, total 40 students were taught through the cooperative teaching method. The research design of the control was a pre-test and post-test, which is representative of true experimental design, and the same was applied to the experiment in this study. The results revealed that the students in the experimental group who were taught through a cooperative teaching approach academically performed better as compared to control. This implies that cooperative teaching technique had a positive influence on the students’ academic performance. This is concluded that the cooperative teaching technique was better as compared to the conventional method of teaching. Therefore, this cooperative method of teaching should be implemented for other subjects and at other school levels.

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“…The classification of learning classes in engineering education using information technology has emerged as a prominent trend in education over the past few decades [1]. Various techniques have been employed, including data mining [2], genetic algorithms [3], fuzzy algorithms [4,5], k-means clustering algorithm [6], and learning grouping strategies based on the K-means clustering algorithm tailored to students' learning styles [7].…”

Section: Introductionmentioning

confidence: 99%

“…3. Gene, chromosome and population design.Referring to Fig.3, it is depicted that genes represent the criteria data possessed by students, such as mhs0[1,1,3,6,1]. Meanwhile, the chromosome implementation is reflected in the class code, where the number is determined by the length of the chromosome, which in this case is 16 representing the number of students in each class.…”

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confidence: 99%

Genetic Algorithms for Optimizing Grouping of Students Classmates in Engineering Education

Kurniadi,

Hidayat,

Anwar

et al. 2023

IJIET

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In this research article, we propose a method based on genetic algorithms to optimize the grouping of students in engineering education. Our method aims to create student groups that take into account their skills, preferences, and relevant factors. We build upon previous research that has successfully utilized genetic algorithms for group formation in various contexts, such as assigning students to laboratory groups and facilitating cooperative learning. We implement and evaluate our proposed methods in collaborative learning environment, examining their impact on collaborative performance, processes, and perceptions. The results of our research demonstrate that grouping methods supported by genetic algorithms positively influence performance and collaborative processes, while students perceive these methods as fair and effective. This article makes a valuable contribution to the field of engineering education by providing methods that up to minus student grouping, considering their initial characteristic and performance and preferences. By employing these methods, the quality of group work can be enhanced leading to improve student learning experiences. Future research can explore the application of the of this method in order educational settings and investigate the factors that influence their effectiveness.

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A Study on Grouping Strategy of Collaborative Learning Based on Clustering Algorithm

Cited by 5 publications

References 6 publications

Impact of Teacher-Student Relationship on Motivation levels & Academic Performance in Learning Chinese as a Second Language among Pakistani Students

Impact of Teacher-Student Relationship on Motivation levels & Academic Performance in Learning Chinese as a Second Language among Pakistani Students

An Experimental Study to Assess the Impacts of Cooperative Teaching on Academic Performance of Higher Secondary School Students in Faisalabad

Genetic Algorithms for Optimizing Grouping of Students Classmates in Engineering Education

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