scholarly journals CORRELATIONAL ANALYSIS OF STUDENT VISIBILITY AND PERFORMANCE IN ONLINE LEARNING

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Minjuan Wang
Keyword(s):  
Online Learning ◽  
Social Context ◽  
Learning Outcomes ◽  
Student Performance ◽  
Discussion Board ◽  
Online Course ◽  
Visibility Score ◽  
Making Friends ◽  
And Performance ◽  
The Relationship

This study examines the relationship between student visibility and learning outcomes in a graduate-level online course. Visibility in this study refers to students’ cognitive, social, and emotive presence [1, 2] in various communication settings, such as posts on the discussion board, contributions in live chats, email messages, online profiles, and inputs via any other means of communication. A visibility score is determined for each student, and the Spearman r correlational tests are used to detect any significant correlation between visibility and learning outcomes (grades). In addition, two surveys were distributed to the students at the end of the course: (a) Survey on Self-Perception on Learning Experiences provides a context for understanding student performance; and (b) Survey on Useful Aspects of Socializing Online asks students to rank the importance of eight types of online activities, such as sharing information, solving problems, and making friends. Both surveys probe into students’ perceptions and social context, which often have great impact on students’ online presence.

scholarly journals Visualizing Student Behavior and Performance in an Online Course

2021 ◽  
Author(s):  
Michael J Parker
Keyword(s):  
Online Learning ◽  
Student Behavior ◽  
Online Course ◽  
Course Structure ◽  
Course Material ◽  
Potential Benefits ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Online learning has been an area of tremendous growth in recent years [1], further accelerated by necessity during the coronavirus pandemic [2]. Without the feedback provided by synchronous sessions, however, instructors may lack ongoing insight into students’ progress and performance in fully asynchronous online offerings. Providing greater visibility into students’ online learning behavior has several potential benefits: 1) teachers who seek to provide live sessions that depend on knowledge from asynchronous resources will have a better gauge of students’ preparation; 2) enhanced understanding of the relationship between student pacing and performance can help teachers and researchers characterize the impact of timely engagement with online course material; 3) providing a means of monitoring the effect of changes in course structure or incentives may guide course designers/planners in continuous improvement; and 4) visualizations that illustrate the relationship between students’ course progress and performance have the promise of allowing teachers to take steps early to positively affect students’ outcomes. In this visual case study, visualizations are provided for exploration of the relationship between student progress and performance in an online medicine-related course.

scholarly journals Evaluating Online Course Quality: A Study on Implementation of Course Quality Standards

2020 ◽  
Vol 24 (4) ◽  
Author(s):  
Whitney Zimmerman ◽  
Barbara Altman ◽  
Bethany Simunich ◽  
Kay Shattuck ◽  
Barbra Burch
Keyword(s):  
Quality Assurance ◽  
Online Learning ◽  
Course Design ◽  
Quality Standards ◽  
Online Course ◽  
Faculty Professional Development ◽  
Course Quality ◽  
Peer Reviewers ◽  
Relationship Of ◽  
The Relationship

This study examined the relationship of intentional faculty professional development, intentional online course design, and informal course reviews to the results of official interinstitutional peer review within higher education institutions. Quality MattersTM (QM) provided the setting for this exploration of the relationship of three independent variables at the course level at institutions that have voluntarily implemented QM online learning quality assurance tools and processes. Data for this study were extracted from a larger statistical project conducted regularly by QM, which included the results of 5,436 online course reviews completed between September 2014 and May 2020 at 360 institutions. These courses were assessed for meeting quality standards in structured, interinstitutional, reviews, conducted by three faculty peer reviewers. QM provided the setting and data for this study; however, the study was not about QM. Instead, it was about exploring the relationships of variables within an institution’s control in the quest for benchmarking and improving online learning. Having and disseminating online course quality standards does not ensure implementation of those standards and quality assurance processes. This observational study provides a better understanding of how the implementation of those standards and quality assurance processes might impact outcomes.

Using Learning Analytics to Enhance Student Learning in Online Courses Based on Quality Matters Standards

2016 ◽  
Vol 45 (2) ◽  
pp. 165-187 ◽  
Author(s):  
Florence Martin ◽  
Abdou Ndoye ◽  
Patricia Wilkins
Keyword(s):  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Online Course ◽  
Design Quality ◽  
Descriptive Data ◽  
Quality Matters ◽  
Frequency Of Use ◽  
And Performance ◽  
Enhance Student Learning

Quality Matters is recognized as a rigorous set of standards that guide the designer or instructor to design quality online courses. We explore how Quality Matters standards guide the identification and analysis of learning analytics data to monitor and improve online learning. Descriptive data were collected for frequency of use, time spent, and performance and analyzed to identify patterns and trends on how students interact with online course components based on the Quality Matters standards. Major findings of this article provide a framework and guidance for instructors on how data might be collected and analyzed to improve online learning effectiveness.

scholarly journals A review of predictive factors of student success in and satisfaction with online learning

2015 ◽  
Vol 23 ◽  
Author(s):  
Heather Kauffman
Keyword(s):  
Online Learning ◽  
Instructional Design ◽  
Learning Environment ◽  
Learning Outcomes ◽  
Student Performance ◽  
Online Courses ◽  
Learning Technology ◽  
Learner Characteristics ◽  
Course Structure ◽  
Negative Perceptions

Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined including learning outcomes, instructional design and learner characteristics, followed by suggestions for further research, and concluding with implications for online learning pertinent to administrators, instructors, course designers and students. Online learning may not be appropriate for every student. Identifying particular characteristics that contribute to online success versus failure may aid in predicting possible learning outcomes and save students from enrolling in online courses if this type of learning environment is not appropriate for them. Furthermore, knowing these learner attributes may assist faculty in designing quality online courses to meet students’ needs. Adequate instructional methods, support, course structure and design can facilitate student performance and satisfaction.Keywords: online learning; learner characteristics; instructional design; online learning outcomes(Published: 27 August 2015)Responsible Editor: Meg O’Reilly, Southern Cross University, AustraliaCitation: Research in Learning Technology 2015, 23: 26507 - http://dx.doi.org/10.3402/rlt.v23.26507

scholarly journals Online Self-Regulatory Learning Behaviors as a Mediator in the Relationship between Online Course Perceptions with Achievement

2008 ◽  
Vol 9 (2) ◽  
Author(s):  
Lucy Barnard ◽  
Valerie Paton ◽  
William Lan
Keyword(s):  
Academic Achievement ◽  
Grade Point Average ◽  
Learning Outcomes ◽  
Student Perceptions ◽  
Positive Relationship ◽  
Online Course ◽  
Grade Point ◽  
Learning Behaviors ◽  
Self Regulatory Learning ◽  
The Relationship

Positive perceptions of online course communication and collaboration have been associated with better academic outcomes, while self-regulatory learning behaviors have also been linked to academic achievement and other positive learning outcomes. In the current study, we examined whether self-regulatory learning behaviors may be considered as mediating the relationship between student perceptions of online course communication and collaboration with academic achievement as measured by grade point average (GPA). Results indicate that online self-regulatory learning behaviors, though not strongly associated with academic achievement in and of themselves, do mediate the positive relationship between student perceptions of online course communication and collaboration with academic achievement.

Effects of Chronotypes on Students’ Choice, Participation, and Performance in Online Learning

2017 ◽  
Vol 55 (8) ◽  
pp. 1069-1087 ◽  
Author(s):  
Yi Luo ◽  
Rui Pan ◽  
Jea H. Choi ◽  
Johannes Strobel
Keyword(s):  
Online Learning ◽  
Significant Relationship ◽  
Exploratory Study ◽  
Online Courses ◽  
Biological Clock ◽  
Discussion Board ◽  
Learning Time ◽  
Course Grades ◽  
And Performance ◽  
Blackboard Learn

Introducing a new theoretical framework of chronotypes (inner biological clock), this article presents a study examining students’ choices, participation, and performance in two discussion-heavy online history courses. The study comprised two major parts: a repetition study and an exploratory study. The survey adopted in the repetition study mainly contained questions asking about participants’ preferred time of conducting online learning (a multiple-choice question), why participants choose online learning (7-point Likert scale questions), and questions to identify their chronotypes from the Munich ChronoType Questionnaire. The repetition study confirms the statistically significant relationship among the three factors for choosing online learning: students’ perceived level of control, independence, and satisfaction. A significant correlation is also identified between students’ chronotypes and their preferred online learning time. The second part of the research explored the level of participation and performance of students having different chronotypes. The students’ participation data collected were the timestamps recording each participant’s hits on the Blackboard Learn courses. The performance data were students’ final course grades, discussion board grades, and group wiki grades. The results indicate there is a statistically significant relationship between students’ chronotypes and the time of their activity in online courses. The overall level of participation affects students’ performance in online learning—students who are more active in the learning management system are likely to have higher final course grades. Implications and limitations of the study are discussed.

scholarly journals Online engagement and performance on formative assessments mediate the relationship between attendance and course performance

2022 ◽  
Vol 19 (1) ◽  
Author(s):  
Chang Lu ◽  
Maria Cutumisu
Keyword(s):  
Online Learning ◽  
Academic Success ◽  
Formative Assessment ◽  
Academic Outcomes ◽  
Formative Assessments ◽  
Learning Engagement ◽  
Class Attendance ◽  
And Performance ◽  
The Impact ◽  
The Relationship

AbstractIn traditional school-based learning, attendance was regarded as a proxy for engagement and key indicator for performance. However, few studies have explored the effect of in-class attendance in technology-enhanced courses that are increasingly provided by secondary institutions. This study collected n = 367 undergraduate students’ log files from Moodle and applied learning analytics methods to measure their lecture attendance, online learning activities, and performance on online formative assessments. A baseline and an alternative structural equation models were used to investigate whether online learning engagement and formative assessment mediated the relationship between lecture attendance and course academic outcomes. Results show that lecture attendance does not have a direct effect on academic outcomes, but it promotes performance by leveraging online learning engagement and formative assessment performance. Findings contribute to understanding the impact of in-class attendance on course academic performance and the interplay of in-class and online-learning engagement factors in the context of technology-enhanced courses. This study recommends using a variety of educational technologies to pave multiple pathways to academic success.

scholarly journals Exploring the characteristics of adults’ online learning activities: a case study of EdX online institute

2021 ◽  
Vol 29 ◽  
Author(s):  
Yuewei Shi ◽  
Xi Lin
Keyword(s):  
Online Learning ◽  
Adult Learners ◽  
Course Completion ◽  
Discussion Board ◽  
Learning System ◽  
Learning Activities ◽  
Learning Activity ◽  
Online Course ◽  
Learning Platform ◽  
Education Administrators

Online learning has become a prevailing trend among adult learners. Therefore, this study investigated the learning time preference and the relationship between the course completion and learning activities among adult learners based on data from one online learning platform. Results indicate that a periodical fluctuation of participating online course study exists among adult learners. Additionally, the activity of posting on the discussion board is a main learning activity factor that influences their online course completion. It is expected that this study would help online learning system designers, education administrators and instructors to better understand the characteristics of adult learners and their learning activities to provide better accessibility and flexibility in online learning environments for them.

scholarly journals Using Big and Open Data to Generate Content for an Educational Game to Increase Student Performance and Interest

2020 ◽  
Vol 4 (4) ◽  
pp. 30
Author(s):  
Irene Vargianniti ◽  
Kostas Karpouzis
Keyword(s):  
Student Performance ◽  
Open Data ◽  
Educational Game ◽  
Data Sets ◽  
Student Interest ◽  
Game Based Learning ◽  
Digital Version ◽  
And Performance ◽  
The Relationship ◽  
Initial Results

The goal of this paper is to utilize available big and open data sets to create content for a board and a digital game and implement an educational environment to improve students’ familiarity with concepts and relations in the data and, in the process, academic performance and engagement. To this end, we used Wikipedia data to generate content for a Monopoly clone called Geopoly and designed a game-based learning experiment. Our research examines whether this game had any impact on the students’ performance, which is related to identifying implied ranking and grouping mechanisms in the game, whether performance is correlated with interest and whether performance differs across genders. Student performance and knowledge about the relationships contained in the data improved significantly after playing the game, while the positive correlation between student interest and performance illustrated the relationship between them. This was also verified by a digital version of the game, evaluated by the students during the COVID-19 pandemic; initial results revealed that students found the game more attractive and rewarding than a traditional geography lesson.

Using Curriculum-Based Measurement to Predict Student Performance on an Eighth-Grade State Reading Assessment

2018 ◽  
Vol 45 (4) ◽  
pp. 277-287
Author(s):  
Mindy LeRoux ◽  
Keith Zvoch ◽  
Gina Biancarosa
Keyword(s):  
Student Performance ◽  
Reading Fluency ◽  
Oral Reading ◽  
Student Characteristics ◽  
Eighth Grade ◽  
High Stakes ◽  
Statewide Assessment ◽  
Eighth Grade Students ◽  
And Performance ◽  
The Relationship

The purpose of this study was to investigate the relationship between scores on two common curriculum-based measures (CBMs), oral reading fluency (ORF) and maze, and scores on the previous statewide assessment of reading in Oregon (Oregon Assessment of Knowledge and Skills-Reading/Literature [OAKS-R]). Data obtained from three cohorts of eighth-grade students were used to examine CBM validity, and the relationship between student characteristics and OAKS-R performance. Positive relationships between ORF and maze scores and performance on the OAKS-R were obtained. In addition, the strength of the predictive relationships varied across cohorts, but not as a function of student characteristics. These results suggest that eighth-grade CBM data can be used as an efficient means to identify and intervene with those at risk of performing poorly on the end-of-year, high stakes accountability assessment. Consideration of the tradeoffs associated with using one or more CBMs in middle school is provided.

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