Using learning analytics to explore the multifaceted engagement in collaborative learning

Xing, Wanli; Zhu, Gaoxia; Arslan, Okan; Shim, Jaesub; Popov, Vitaliy

doi:10.1007/s12528-022-09343-0

Cited by 15 publications

(10 citation statements)

References 68 publications

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“…(5) Only emotional and cognitive engagement had a significant positive influence on problem-solving. This finding was inconsistent with previous studies on the relationship between learning engagement and problem-solving [51]. The previous results showed that students' problem-solving was significantly influenced by behavioral engagement.…”

Section: Discussioncontrasting

confidence: 96%

“…Theoretically speaking, neither behavioral engagement in smart classrooms nor emotional engagement alone in traditional multimedia classrooms needed to be considered for instructing students in algorithmic thinking. Only emotional and cognitive engagement had a significant positive influence on problem‐solving. This finding was inconsistent with previous studies on the relationship between learning engagement and problem‐solving [51]. The previous results showed that students' problem‐solving was significantly influenced by behavioral engagement.…”

Section: Discussioncontrasting

confidence: 95%

“…Zhao et al [56] claimed that students' engagement played a moderating role in the relationship between learning contextual factors and the development of problem‐solving skills. Xing [51] used learning analytics to study the impact of learning engagement on problem‐solving. The study found that students' behavioral and cognitive engagement significantly promote problem‐solving performance.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

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What influences computational thinking? A theoretical and empirical study based on the influence of learning engagement on computational thinking in higher education

Liu

Peng

Srivastava

2023

Comp Applic In Engineering

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As an important part of core competencies in the 21st century, computational thinking has received a lot of attention from all over the world. In the field of higher education, cultivating the ability of computational thinking has become an important goal of teaching. Previous research has shown that students' learning engagement is related to partial dimensions within computational thinking. However, there was a lack of research on the overall relationship between learning engagement and computational thinking. Therefore, this study aims at constructing an overall relationship model between learning engagement and computational thinking to examine the influence of three dimensions of learning engagement on the five dimensions of computational thinking. The participants were 341 freshmen from central China. The results show that compared with behavioral engagement, both emotional engagement and cognitive engagement had a stronger predictive power for computational thinking. In addition, the learning environment played a significant role in the relationship between learning engagement and computational thinking. On the whole, when compared with traditional multimedia classrooms, the relationship between learning engagement and computational thinking in smart classrooms was closer. A theoretical and empirical study of the relationship between learning engagement and computational thinking presents researchers and education practitioners with a method to improve students' computational thinking by building a learning environment and designing pedagogy.

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Section: Discussioncontrasting

confidence: 96%

Section: Discussioncontrasting

confidence: 95%

Section: Research Model and Hypothesesmentioning

confidence: 99%

See 1 more Smart Citation

What influences computational thinking? A theoretical and empirical study based on the influence of learning engagement on computational thinking in higher education

Liu

Peng

Srivastava

2023

Comp Applic In Engineering

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“…First, this study applied engagement theory to identify teacher participation patterns in OTPD and revealed the relationship between the participation frequency and participation quality. As a widely recognized theory, engagement theory is often intended to be a conceptual framework for technology-based learning, with an emphasis on meaningful learning, and has been used in empirical studies on a range of topics (Annamalai et al, 2023 ; McKenzie et al, 2022 ; Xing et al, 2022 ). Despite the theory’s widespread use in a variety of settings, research on teachers’ online professional development remains limited.…”

Section: Discussionmentioning

confidence: 99%

Investigating teachers’ participation patterns in online teacher professional development: what is the relationship between participation frequency and participation quality?

Chen

Yang

et al. 2023

Educ Inf Technol

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Online teacher professional development (OTPD) opportunities are made available to teachers and draw increasing research attention. As the key characteristics of teachers’ participation in OTPD, the frequency and quality of participation are increasingly concerned. However, the relationship between teacher participation frequency and participation quality is still unclear. Addressing this problem not only helps reveal teachers’ participation patterns in OTPD, but also provides support for promoting teachers’ online professional learning and improving OTPD organization and management. To identify teachers’ participation patterns and the relationship between participation frequency and participation quality in OTPD, this study analyzed 5,064 log records of 415 teachers using lag sequential analysis, t-test, and Chi-square test. The findings indicated that teachers preferred shallow participation behaviors, such as sharing resources and experience, and seldom carried out deep participation/engagement behaviors (e.g., proposing knowledge topics, establishing teaching and research practices). Teachers with higher participation frequency had lower participation quality in OTPD and tended to repeat shallow participation behaviors. Finally, the study proposed some suggestions for better supporting teachers’ participation in online professional development, such as strengthening the links between information sharing activities, knowledge construction activities, and teaching and research practices.

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“…The work of Xing et al (2022) proposes a study of the multifaceted aspects of engagement (i.e. behavioral, social, cognitive and metacognitive group engagement) and their impact on collaborative learning.…”

Section: Learning In the E-learning Environment Through The Manager's...mentioning

confidence: 99%

Educational data mining and learning analytics: a review of educational management in e-learning

Rabelo

Rodrigues

Nobre

et al. 2023

IDD

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Purpose The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective. Design/methodology/approach This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM. Findings From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles. Originality/value This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.

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Using learning analytics to explore the multifaceted engagement in collaborative learning

Cited by 15 publications

References 68 publications

What influences computational thinking? A theoretical and empirical study based on the influence of learning engagement on computational thinking in higher education

What influences computational thinking? A theoretical and empirical study based on the influence of learning engagement on computational thinking in higher education

Investigating teachers’ participation patterns in online teacher professional development: what is the relationship between participation frequency and participation quality?

Educational data mining and learning analytics: a review of educational management in e-learning

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