Assessing Students’ Perception, Engagement and Metacognitive Skills on Mobile Learning

Sercenia, Janina C.; Prudente, Maricar S.

doi:10.1145/3514262.3514270

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…Unobstructed communication between teachers and students in online class can make students feel the teachers' positive sentiments as they devote themselves in teaching, then a harmonious teaching-student relationship could be formed and it'll become a pleasant thing for teachers and students to carry out their teaching and learning activities together. The teachers' optimistic mood can affect students and add new vitality to their online learning, in the meantime, students' engagement in learning will be enhanced as well [20][21][22][23][24][25]. Therefore, it is of practical significance to study the influence mechanism of TI on the learning engagement of students in the online teaching environment.…”

Section: Introductionmentioning

confidence: 99%

The Mechanism of Teacher Influence on the Learning Engagement of Students

Wang¹

2022

Int. J. Emerg. Technol. Learn.

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As a non-teaching factor, the influence of teachers can often trigger positive teaching effects, and exert impacts on students’ learning engagement. However, few of the existing studies on the online learning engagement of college students have viewed this topic from a quantitative perspective, and few have concerned about the influence mechanism of Teacher Influence (TI). To fill in this research blank, this paper studied the influence mechanism of TI on the learning engagement of students. At first, this paper analyzed the theories related to the said influence mechanism and proposed a TI model for the online teaching environment. Then, after investigating students’ understandings, participation, and questions with the online teaching activities created by teachers, the TI model was built in the paper. In view of the complexity of this TI model, this paper fully considered the meaning of the interactions of teacher and student nodes during the actual online teaching activities, proposed a two-stage TI maximization algorithm based on the learning input responses of the nodes, and realized comprehensive quantification of TI. The effectiveness of the proposed algorithm was verified by experimental results.

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Section: Introductionmentioning

confidence: 99%

The Mechanism of Teacher Influence on the Learning Engagement of Students

Wang¹

2022

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

Assessing Students’ Perception, Engagement and Metacognitive Skills on Mobile Learning

Cited by 1 publication

References 16 publications

The Mechanism of Teacher Influence on the Learning Engagement of Students

The Mechanism of Teacher Influence on the Learning Engagement of Students

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