Using clickstream data to measure, understand, and support self-regulated learning in online courses

2020 ◽  
Vol 45 ◽  
pp. 100727 ◽  
Author(s):  
Qiujie Li ◽  
Rachel Baker ◽  
Mark Warschauer
Keyword(s):  
Online Courses ◽  
Clickstream Data ◽  
Self Regulated Learning ◽  
Regulated Learning

Preparing Online Learning Readiness with Learner-Content Interaction

2016 ◽  
pp. 586-614
Author(s):  
Juhong Christie Liu ◽  
Elaine Roberts Kaye
Keyword(s):  
Online Learning ◽  
Learning Environments ◽  
Online Courses ◽  
Learning Readiness ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Content Interaction ◽  
Online Learning Readiness ◽  
Synchronous Online

Online learning readiness is fundamental to student successful participation, presence, and interaction in online courses. Effective facilitation of these key components depends on sound instructional design. In self-directed online environments, learner-content interaction and scaffolding self-regulated learning have been found of primary importance to generate meaningful learning. To provide a solution to the challenges of interoperability of various functions in synchronous online learning environments, this chapter presents a case study about the design and development of a self-paced orientation to help students acquire online learning readiness. Learner-content interaction is strategically utilized in the design to scaffold self-regulated learning. The results of the case study demonstrate that this orientation positively prepares students to be ready for learning in a synchronous online environment. The approach can be of practical use to individuals and groups.

scholarly journals Supporting learners' self-regulated learning in Massive Open Online Courses

2020 ◽  
Vol 146 ◽  
pp. 103771 ◽  
Author(s):  
Renée S. Jansen ◽  
Anouschka van Leeuwen ◽  
Jeroen Janssen ◽  
Rianne Conijn ◽  
Liesbeth Kester
Keyword(s):  
Online Courses ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Self Regulated Learning ◽  
Regulated Learning

The Application of Web and Educational Technologies in Supporting Web-Enabled Self-Regulated Learning in Different Computing Course Orientations

2011 ◽  
Vol 7 (1) ◽  
pp. 70-79 ◽  
Author(s):  
Chia-Wen Tsai ◽  
Pei-Di Shen
Keyword(s):  
Online Courses ◽  
Database Management System ◽  
Educational Institutions ◽  
Web Based ◽  
Face To Face ◽  
Self Regulated Learning ◽  
Packaged Software ◽  
Regulated Learning ◽  
Computing Skills ◽  
The Face

Many educational institutions provide online courses; however, the question whether they can be as effective as those offered in the face-to-face classroom format still exists. In addition, it also remains unclear whether every subject is appropriate to be delivered in web-based learning environments. Thus, the authors redesigned two courses with different orientations and conducted a quasi-experiment to examine the effects of web-enabled self-regulated learning (SRL) in different course orientations on students’ computing skills. Four classes with 173 students from the courses ‘Database Management System’ and ‘Packaged Software and Application’ were divided into 2 (Design-oriented vs. Procedural-oriented) × 2 (SRL vs. non-SRL) experimental groups. The results showed that students who received the intervention of web-enabled SRL had significantly higher grades on the examination for certificates than those that did not receive this intervention, whether in design-oriented or procedural-oriented computing courses. Moreover, students in the two different courses had very similar scores, which resulted in non-significant differences in their end-of-term computing skills.

Experimental Analysis of Students’ Satisfaction Factors in E-Learning Environment: A Case Study on Saudi Arabian University

2017 ◽  
Vol 16 (02) ◽  
pp. 1750018 ◽  
Author(s):  
Hussein Abdel-Jaber
Keyword(s):  
Online Education ◽  
Self Efficacy ◽  
Online Courses ◽  
Learning Assessment ◽  
Saudi Students ◽  
Self Regulated Learning ◽  
Perceived Satisfaction ◽  
Regulated Learning ◽  
E Learning ◽  
Students Satisfaction

Despite the proliferation of studies outlining the immense benefits obtained from e-learning, the understanding of students’ satisfaction with e-learning in developing countries is still unclear. Therefore, this paper investigates the relationship between Saudi students’ satisfaction with online courses and a number of individual, as well as institutional characteristics cited as robust predictors of students’ satisfaction in the educational literature. These include: students’ levels of internet self-efficacy, self-regulated learning, assessment of course and instructors’ interactivity and their evaluation of the Learning Management System (LMS) used. The results indicated that students’ internet self-efficacy and self-regulated learning constitute critical factors influencing students’ satisfaction with e-learning. Further, students’ assessment of course, as well as instructors’ interactivity are found to marginally affect perceived satisfaction with e-learning among Saudi students. The LMS used (Blackboard) seemed to be the weakest factor influencing students’ experience with online education. Overall, based on the results obtained and in order to maximise the benefits of e-learning; this paper recommends for Saudi universities to extensively use LMS to increase the interactions among primary stakeholders: students–instructors, students–students and students–LMS.

scholarly journals The Online Learning Academic Achievement of Chinese Students during the COVID-19 Pandemic: the Role of Self-Regulated Learning and Academic Entitlement

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Yan DAI
Keyword(s):  
Academic Achievement ◽  
Online Learning ◽  
Online Courses ◽  
Chinese Higher Education ◽  
Equation Modeling ◽  
Academic Entitlement ◽  
Spring Semester ◽  
Chinese College Students ◽  
Self Regulated Learning ◽  
Regulated Learning

In the spring semester of 2020, all Chinese higher education institutions delivered courses online across the nation in response to the COVID-19. This study explores Chinese college students’ self-regulated learning, academic entitlement, and academic achievement during the transitioning from face-to-face to online learning environments during this special time. Structure equation modeling was conducted, and results indicate that academic entitlement associates with students’ online learning academic achievement. Whereas self-regulated learning does not relate to academic achievement in the online learning setting. Additionally, academic entitlement is marginally associated with academic achievement only among male students, while self-regulated learning is not a significant predictor for both genders. However, self-regulated learning is marginally linked with higher academic achievement among students who do not have previous online learning experiences but not among those who took online courses before.

scholarly journals MOOCS & PARTICIPATION INEQUALITIES IN DISTANCE EDUCATION: A SYSTEMATIC LITERATURE REVIEW 2009-2019

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Ioannis Zafras ◽  
Apostolos Kostas ◽  
Alivizos Sofos
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Online Courses ◽  
Positive Impact ◽  
Geographical Location ◽  
Professional Status ◽  
Self Regulated Learning ◽  
Scientific Discussion ◽  
Regulated Learning ◽  
Analysis And Synthesis

<p>The extent to which Multiple Open Online Courses (MOOCs) provide an alternative educational model to less privileged social groups is still under investigation. Purpose of this study is to examine how various social, demographic, and educational factors influence learners’ participation in MOOCs. A Systematic Literature Review (SLR) was deployed focusing on empirical research published between 2009-2019. Analysis and synthesis of the literature revealed that both the geographical location and the professional status of learners have a positive impact on self-regulated learning. Learners from North America and Europe have significantly higher levels of ICT and self-regulated learning skills than learners from other regions. Moreover, inequalities persist as most MOOCs users have a better educational and professional background in relation to the general population. This study helps to further understand the profile of the “average MOOC user” and contribute to the related scientific discussion about MOOCs initiative.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0622/a.php" alt="Hit counter" /></p>

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