Learner Characteristics for Online Learning

2020 ◽  
pp. 86-101
Keyword(s):  
Online Learning ◽  
Learning Styles ◽  
Student Success ◽  
Self Efficacy ◽  
Affective Learning ◽  
Learner Characteristics ◽  
Situation Theory ◽  
User Friendly ◽  
And Control ◽  
Constituent Elements

Learner characteristics are vital to student success so that teachers can reach them and stimulate their curiosity such that they will wish to learn and find it interesting. One characteristic unique to the online venue is students feeling isolated. Other distinguishing elements include the type of course, whether students pay for their courses, demographics, self-efficacy, motivation, and control over the learning process. Technical characteristics also affect online learning. These characteristics include user-friendly technology, convenience, sophisticated technology, previous experience with eLearning, and access to mobile technology. Administrative characteristics are also important and include nine constituent elements. These include affective learning engagement and the success of community colleges. Then one must consider recognition of essential learner traits, learning styles, motivational factors, the situation theory of publics, and the role of self-efficacy. Next, administration should promote self-regulatory learning skills and improved course access. Finally, motivation characteristics must also be considered. All of these elements influence student success in online learning.

UNDERSTANDING DISABILITIES & ONLINE STUDENT SUCCESS

2013 ◽  
Vol 17 (3) ◽  
Author(s):  
Kristen Betts ◽  
Bill Welsh ◽  
Kelly Hermann ◽  
Cheryl Pruitt ◽  
Gaeir Dietrich ◽  
...  
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Student Success ◽  
Students With Disabilities ◽  
Disability Services ◽  
Government Accountability ◽  
Academic Goals ◽  
Online Student ◽  
Support Resources ◽  
Legislative Changes

Approximately 11% of all postsecondary students reported having a disability in 2008. Although the percentage of students with disabilities in 2008 closely reflects the percentage reported in 2004, the U.S. Government Accountability Office states that recent legislative changes have the potential to increase the diversity and number of students with disabilities pursing higher education. To support students with disabilities enrolled in higher education and in online learning, it is important to understand disabilities and the resources students need to actively engage in their courses and to achieve their academic goals. This article includes collaborative responses from a diverse group of leaders at eight higher education institutions and organizations who work with disability services and have experience in online learning. Some of the contributors also have disabilities so the collective responses build upon research, professional experience, and personal experience. For this article, the ten contributors answered 20 questions regarding disabilities and online student success as well as provided recommended practices. This article is designed to be interactive. It includes screenshots, simulation links, video demonstrations, and resources to provide a more detailed understanding of disabilities, accessibility, and support resources. JALN readers are encouraged to interact with the simulations and to watch the demonstration videos as a way to learn more about disabilities and supporting online student success.

SELF-EFFICACY DALAM PEMBELAJARAN MATEMATIKA SISWA MADRASAH ALIYAH

2019 ◽  
Vol 20 (1) ◽  
pp. 110-121
Author(s):  
Maria Ulpah
Keyword(s):  
Data Collection ◽  
Cooperative Learning ◽  
Student Success ◽  
Learning Process ◽  
Self Efficacy ◽  
Observation Data ◽  
Know How ◽  
Learning Mathematics ◽  
Mathematical Problems

Self-efficacy of students plays a role in determining student success in learning, including learning mathematics. Affective aspects such as self-efficacy, play a major role when students work and use mathematics, because to be able to solve mathematical problems is not enough just to know how to do it, but must be accompanied by self-efficacy about the truth of the concepts and procedures they have. This research was conducted in two groups of students using an instrument in the form of a questionnaire to measure students' self-efficacy. Observation data collection techniques were also conducted to determine the learning process of the two groups. The results showed that groups of students who used active and cooperative learning had higher self-efficacy. Keywords: self-efficacy, mathematics, cooperative learning.

scholarly journals Exploring the relationship between students' learning satisfaction and self-efficacy during the emergency transition to remote learning amid the coronavirus pandemic: A cross-sectional study

2021 ◽  
Author(s):  
Monira I. Aldhahi ◽  
Abdulfattah S. Alqahtani ◽  
Baian A. Baattaiah ◽  
Huda I. Al-Mohammed
Keyword(s):  
Online Learning ◽  
Time Management ◽  
Self Efficacy ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Learning Satisfaction ◽  
High Satisfaction ◽  
E Learning ◽  
Students Satisfaction ◽  
Remote Learning

AbstractThe overarching objective of this study was to assess learning satisfaction among students and to determine whether online-learning self-efficacy was associated with online learning satisfaction during the emergency transition to remote learning. This cross-sectional study involved a survey distributed to 22 Saudi Arabian universities. The survey used in this study consisted of an online learning self-efficacy (OLSE) questionnaire and an electronic learning (e-learning) satisfaction questionnaire. A total of 1,226 respondents voluntarily participated in and completed the survey. Students in medical fields made up 289 (23.6%). A Kruskal–Wallis H test and a chi-square test were used to compare the student’s satisfaction based on the educational variables. Spearman’s correlation and multiple linear regression analyses were performed to assess the association between self-efficacy and satisfaction. The findings revealed degrees of satisfaction ranging between high satisfaction and dissatisfaction. The majority of students (51%) expressed high satisfaction, and 599 students (49%) reported experiencing a low level of satisfaction with e-learning. A comparison of groups with low and high satisfaction scores revealed a significant difference in the OLSE. High satisfaction was positively correlated with the OLSE domains: time management, technology, and learning. The OLSE regression analysis model significantly predicted satisfaction. It showed that the model, corrected for education level and grade point average of the students, significantly predicted e-learning satisfaction (F = 8.04, R2 = 0.59, p = .004). The study concluded that students’ satisfaction with the e-learning experience is influenced by e-learning self-efficacy. The study’s findings lead to the practical implications and identify the need to improve the remote learning, time management and technology self-efficacy to enhance students’ satisfaction.

Students’ Perceptions of Institutional Services and Online Learning Self-Efficacy

2021 ◽  
pp. 1-15
Author(s):  
Jesús Trespalacios ◽  
Lida Uribe-Flórez ◽  
Patrick Lowenthal ◽  
Scott Lowe ◽  
Shawna Jensen
Keyword(s):  
Online Learning ◽  
Self Efficacy ◽  
Institutional Services

Why Students Should Be Taught Differently: Learner Characteristics, Learning Styles and Simulation Performance

2021 ◽  
pp. 104687812110658
Author(s):  
Bindu Kulkarni ◽  
Ranjan Banerjee ◽  
Rajasekaran Raghunathan
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Reflective Learning ◽  
Outcome Variable ◽  
Full Time ◽  
Business Simulation ◽  
Older Students ◽  
Learner Characteristics ◽  
Simulation Performance ◽  
Business Simulations

Background Business simulation as an instructional tool helps in developing integrative thinking and decision making skills. It is being taught to audiences who differ considerably in age, work experience (learner characteristics) and learning styles. The use of simulations is likely to grow further with advancements in internet technology and the fact that simulations are very amenable to remote modes of instruction. Aim This study aims to assess how learner characteristics and learning styles impact business simulation performance. It further assesses the combined effect of learner characteristics and learning styles on performance in business simulations, we specifically consider the manner in which learning styles moderate the impact of learner characteristics (age) on simulation performance. Method The study was conducted with 605 students of full time MBA and executive MBA programs with age group varying from 21 years to 53 years. They were taught using the same business simulation by CAPSIM. The learning styles were measured using Felder-Solomon’s instrument ‘Index of learning style’. Regression analysis was conducted with predictor variables of learner characteristics and learning styles and outcome variable of simulation performance. The moderating effect of specific learning styles on learner characteristics was identified. Results The findings indicate that age is a significant predictor of simulation performance (younger, tech savvy students do better). Also, the use of reflective learning style enables better performance in business simulations. Older students are able to draw on experience and benefit more from reflective learning, for business simulations which involve integration across functions. Conclusion The study enhances our conceptual understanding of the factors enabling performance in business simulations and provides specific direction on how instructors must adapt facilitation approaches for different age groups of participants. Reflection is important for learning with business simulations; hence, the reflective learning style should be encouraged particularly among older students.

Antecedents and consequences of college students' satisfaction with online learning

2021 ◽  
Vol 49 (8) ◽  
pp. 1-11
Author(s):  
Nam-Hyun Um ◽  
Ahnlee Jang
Keyword(s):  
College Students ◽  
Online Learning ◽  
Student Satisfaction ◽  
Self Efficacy ◽  
Teaching Presence ◽  
Self Management ◽  
Antecedents And Consequences ◽  
Intention To Continue ◽  
Academic Self Efficacy ◽  
Students Satisfaction

We delved into the antecedents and consequences of college students' satisfaction with online learning. We proposed the antecedents would be interactions, teaching presence, self-management of learning, and academic self-efficacy, and that the consequence would be intention to continue to use online learning. Participants were 236 college students in South Korea who completed an online survey. Our findings suggest that students' satisfaction with online learning was positively related to the interactions between students and instructor, teaching presence, self-management of learning, and academic self-efficacy. We also found that student satisfaction with online learning positively predicted their intention to continue to use online learning. Thus, our findings in this study provide educators with ways to increase student satisfaction, and add to knowledge about the relationship between students' satisfaction and their intention to take online courses.

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