• Title/Summary/Keyword: learning engagement

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Analysis of Influencing Factors of Learning Engagement and Teaching Presence in Online Programming Classes

  • Park, Ju-yeon;Kim, Semin
    • Journal of information and communication convergence engineering
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    • v.18 no.4
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    • pp.239-244
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    • 2020
  • This study analyzed the influencing factors of learning engagement and teaching presence in online programming practice classes. The subjects of this study were students enrolled in an industrial specialized high school, who practiced creating Arduino circuits and programming using a web-based virtual practice tool called Tinkercad. This research adopted a tool that can measure task value, learning flow, learning engagement, and teaching presence. Based on this analysis, learning flow had a mediating effect between task value and online learning engagement, as well as between task value and teaching presence. Increasing learning engagement in online classes requires sensitizing the learners about task value, using hands-on platforms available online, and expanding interaction with instructors to increase learning flow of students. Furthermore, using virtual hands-on tools in online programming classes is relevant in increasing learning engagement. Future research tasks include: confirming the effectiveness of online learning engagement and teaching presence through pre- and post-tests, and conducting research on various practical subjects.

An Exploration of Learning Environmental Factors Affecting Student Cognitive Engagement: Implications for Instructional Design Research

  • LEE, Sunghye
    • Educational Technology International
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    • v.15 no.2
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    • pp.143-170
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    • 2014
  • As it was argued that students' cognitive engagement can be, at least in part, modified by individual or learning environmental factors, prior studies have attempted to identify the factors explaining the variability of students' cognitive engagement. This literature review has shown that students' cognitive engagement can be altered by various elements in the learning environment design such as factors related students' perceptions of teaching quality, characteristics of tasks and learning activities, teachers' behaviors during instruction, classroom goal structures, the integration of student oriented learning, action learning, problem-based learning, and constructivist learning, and academic disciplines. Based on the review, this study suggests that more studies are required to focus on understandings how the integration of instructional design principles into courses and the levels of student cognitive engagement in these courses are related. Also, an investigation of direct and indirect effect of learning environments taking into account students' personal factors would provide a more accurate picture of the relationship between learning environmental factors and students' cognitive engagement.

Exploration on Elementary Students' Perceptions of Science Learning Engagement Using Keyword Network Analysis (키워드 네트워크 분석을 통해 살펴본 초등학생이 인식하는 과학 학습 참여의 의미)

  • Lim, Heejun
    • Journal of Korean Elementary Science Education
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    • v.39 no.2
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    • pp.255-267
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    • 2020
  • Students' engagement is important for meaningful learning and it has multifaceted aspects for their science learning. This study investigated elementary students' perceptions of science learning engagement. The subjects of this study were 341 4th to 6th elementary students. The survey questionnaires were 5-Likert scale questions and free response questions on science learning engagement. The results showed that elementary students' perceptions of behavioral engagement were higher than emotional and cognitive engagement. Keyword network analysis with NetMiner program showed that the frequent key words of science learning engagement were 'experiment', 'listening', and 'teachers' explanation', which were mostly the behavioral types of engagement. The degree centrality and eigenvector centrality of these key words appeared high. 'Interest', which is emotional engagement, were also one of the frequent key words, but the centralities of this word were relatively low. The Frequent key words of science learning disengagement were mostly related with off-tasks, not doing expected behaviors and negative emotions about science and science learning. Educational implications on science learning engagement were discussed.

Structural Relationships among SEM CEO's Positive Leadership, Members' Positive Life Positions, Learning Organization Activities, Job Engagement, and Organizational Performance (중소기업경영자의 긍정적 리더십, 구성원의 긍정적 삶의 태도, 학습조직활동, 직무열의, 조직성과 변인간의 구조적 관계)

  • Park, Sooyong;Choi, Eunsoo
    • Journal of Distribution Science
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    • v.13 no.12
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    • pp.113-131
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    • 2015
  • Purpose - In today's era of globalization, the competitive power of enterprises is growing fiercer, calling for organizations to be able to respond flexibly to survive and maintain predominance in competition. In turn, keen competition exists among enterprises for the systematic management of members' knowledge to secure predominance in such competition. Under such circumstances, SMEs must find and utilize positive causes for change that affect organizational performance. The objective of this study is to analyze the structural relationship between four factors known from prior research-a CEO's positive leadership, members' positive life positions, learning organization activities, and job engagement-and organizational performance. Research design, data, and methodology - To achieve this objective, this study established the following four research problems. First, do CEOs' positive leadership, members' positive life positions, learning organization activities, and job engagement affect organizational performance? Second, do CEOs' positive leadership, members' positive life positions, and learning organization activities affect job engagement? Third, do CEOs' positive leadership and members' positive life positions affect learning organization activities? Fourth, does CEOs' positive leadership affect members' positive life positions. Additionally, to achieve the objective of this study, the research model was selected on the basis of a documentary survey of 787 full-time employees at 100 SMEs, which was used to collect related data. Results - The following conclusions were drawn. First, a CEO's positive leadership directly affects members' positive life positions, learning organization activities, and job engagement. Second, positive leadership only indirectly affects organizational performance. That is, positive leadership has an indirect effect on organizational performance given the parameters of members' positive life positions, learning organization activities, and job engagement. Third, members' positive life positions directly affect learning organization activities and job engagement, but indirectly affect organizational performance with learning organization activities and job engagement as parameters. Fourth, learning organization activities directly affect job engagement and organizational performance. Additionally, learning organization activities indirectly affect organizational performance with job engagement as a parameter. Fifth, job engagement directly affects organizational performance. Conclusions - A CEO's positive leadership and members' positive life positions do not directly affect organizational performance but have a positive effect through learning organization activities and job engagement. In particular, CEOs' positive leadership was proven to be the major factor to affect members' positive life positions, learning organization attitudes, and job engagement, and learning organization activities and job engagement were found to be major factors that directly affect organizational performance. Considering these conclusions, the direct effect of a CEO's positive leadership on organizational performance is not statistically significant but seems to affect members' positive life positions, learning organization activities, and job engagement, which ultimately affects organizational performance. In addition, CEOs' positive leadership is an important factor that enhances the factors with the strongest effect on organizational performance-activities of learning organizations and job engagement.

Effects of University Students' Social and Teaching Presence on Learning Engagement and Perceived Learning Achievement in Online Courses

  • YUN, Heoncheol;OH, Suna;YOON, Hyunsuk;KIM, Seon
    • Educational Technology International
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    • v.22 no.2
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    • pp.111-137
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    • 2021
  • Embracing the important roles of presence, this study focused on exploring how to enhance online learners' learning engagement and learning achievement in distance higher education settings. More specifically, this study examined the structural relationships among university students' teaching presence, social presence, learning engagement, and perceived learning achievement in online learning environments using structural equation modeling. Data were collected from 206 university students enrolled in online courses in the second semester of 2020 at two large universities. According to the results of the data analysis, there was a significant relationship between teaching and social presence. Teaching presence and social presence predicted learning engagement that positively affected perceived learning achievement. Teaching presence was strongly associated with perceived learning achievement while social presence had a negative impact on that. Additionally, learning engagement had a mediating effect on the relationship between teaching presence and perceived learning achievement. This study found that students who perceived higher levels of teaching and social presences tend to more engage in learning, leading to perceiving better learning achievement. The findings suggest that the design, development, and implementation of effective online instruction should be needed to promote learning engagement, which can be linked to enhancing students' learning achievement. Implications and discussion are addressed in this article.

Research on Improving Online Learning Participation based on Self-Determination Theory: Focusing on Psychological Need Satisfaction and Digital Interaction (자기결정이론 기반 온라인 학습 참여도 향상에 관한 연구: 심리적 욕구충족 및 디지털 상호작용을 중심으로)

  • Jinze He;Qiang Wang;Daihwan Min;Hanjin Lee
    • Journal of Information Technology Services
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    • v.22 no.6
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    • pp.103-114
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    • 2023
  • In the post-pandemic era, colleges and students keep passion for learning online sine its unique advantages. This study explores how students' basic psychological needs drawn from self-determination theory, connect to interaction, and learning engagement in the context of online learning. While prior research explored students' intentions, digital interactions, and engagement in online learning, this study aims to come up with a united conceptual model drawing the three basic psychological needs and interaction and their effects on learning engagement. 178 response data collected through a questionnaire survey, were analyzed using PLS-SEM. Findings indicate that online learning interaction enhances intrinsic motivation, leading to higher learning engagement. Autonomy emerges as the most influential psychological need on learning engagement. This study integrates self-determination theory with online learning interactions and engagement and offers practical insights. Future research should examine long-term outcomes and diverse student populations.

Overcoming the Hurdles of Transition: Middle School Students' Engagement in Distance Instruction During the COVID-19 Pandemic in South Korea

  • Jinsol KIM;Jeongmin LEE
    • Educational Technology International
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    • v.24 no.1
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    • pp.81-114
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    • 2023
  • The study aimed to qualitatively examine middle school students' engagement in distance instruction during the COVID-19 pandemic. The participants comprised 119 students from a girls' middle school in Seoul, South Korea. To gain an in-depth understanding of the students' experiences, we collected their reflective journals, which included structured items about their learning engagement at three timepoints in 2020: April, July, and December. The following are the results: 10 themes and 18 concepts were derived, and they were integrated into causal conditions (sudden transition due to COVID-19), contextual condition (technology readiness, school education context), central phenomena (high level of behavioral engagement, low emotional engagement), interventional conditions (recognizing the potential of online learning, situational awareness about COVID-19 and online learning), action/interaction phenomena (development and use of self-regulated learning strategies), and consequences (changes in practices and perception towards online learning). Based on the findings, engagement patterns of the participants were classified into five types: proactive, conservative, receptive, reactive, passive learners. The present study demonstrated important findings that are essential for the improvement and development of engaging online learning strategies in the future.

Balancing Fun and Learning through a User Interface: A Case Study of Wii Game

  • Kim, Si Jung;Lee, Kichol;Park, Yeonjeong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3638-3653
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    • 2019
  • Designing a user interface is important because the user interface determines the level of physical and mental engagement of the user resulting in their level of learning. This paper investigated how physical engagement through a different user interfaces is associated with fun and learning and presented a theoretical physical engagement model called, PEM, developed based on an empirical user study. The PEM model describes how a game user interface is associated with the level of fun and learning, particularly in playing a full body engaged game. There are many different types of games but the Wii Tennis, an embodied interactive game, was chosen as an instance of full body engaged game. A user study with 32 participant's age ranged from 21 to 40 years old revealed that there is a positive correlation between both fun and learning and the level of physical engagement through two different user interfaces. The results of the study showed that the extent of fun and learning are associated with the physical engagement of the player through an interface. As an implication from the study, the result recommend that the level of user engagement is realized by an effective user interface, and the level of physical engagement is determined by the level of authenticity bridged by the user interface.

The Clustered Patterns of Engagement in MOOCs and Their Effects on Teaching Presence and Learning Persistence

  • Kim, Hannah;Lee, Jeongmin;Jung, Yeonji
    • International Journal of Contents
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    • v.16 no.4
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    • pp.39-49
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    • 2020
  • The goal of this research was to understand the patterns of multidimensional engagement in MOOCs. An email with an online survey link was sent to enrollees in an MOOC course. The survey included 35 questions asking about engagement, teaching presence, and learning persistence. The items were validated in the literature, revised for the MOOC setting, reviewed by four professionals in the field of educational technology, and used in the study. A heterogeneous group of 170 individuals gathered through convenience sampling participated in the study. With cluster analysis of the engagement data, three groups were identified: Cluster1, 2, and 3. Cluster 1 scored high on behavioral, emotional, and cognitive engagement. Cluster 2 scored high on behavioral aspects but low on emotional and cognitive engagement. Cluster 3 scored low on behavioral and cognitive engagement but high on emotional aspects. The study addressed cluster-specific learner characteristics and differences in perceived teaching presence and learning persistence. Design strategies pertaining to each cluster were further discussed. These strategies may guide instructors and practitioners in the design and management of MOOCs and should be further validated through future studies.

Predicting Students' Engagement in Online Courses Using Machine Learning

  • Alsirhani, Jawaher;Alsalem, Khalaf
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.159-168
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    • 2022
  • No one denies the importance of online courses, which provide a very important alternative, especially for students who have jobs that prevent them from attending face-to-face in traditional classes; Engagement is one of the most important fundamental variables that indicate the course's success in achieving its objectives. Therefore, the current study aims to build a model using machine learning to predict student engagement in online courses. An online questionnaire was prepared and applied to the students of Jouf University in the Kingdom of Saudi Arabia, and data was obtained from the input variables in the questionnaire, which are: specialization, gender, academic year, skills, emotional aspects, participation, performance, and engagement in the online course as a dependent variable. Multiple regression was used to analyze the data using SPSS. Kegel was used to build the model as a machine learning technique. The results indicated that there is a positive correlation between the four variables (skills, emotional aspects, participation, and performance) and engagement in online courses. The model accuracy was very high 99.99%, This shows the model's ability to predict engagement in the light of the input variables.