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Yingqi Tang; Hungwei Tseng; Yu-Chun Kuo; Hsin-Te Yeh; Jianfang Liu – Online Learning, 2025
Through a hierarchical multiple regression analysis, this study investigated how dimensions of online learning readiness and online connectedness influence students' intentions to continue to take online courses. Data from 369 students who took at least one online course at a four-year public university showed that online learning readiness had a…
Descriptors: Success, Electronic Learning, Learning Readiness, Online Courses
Jasmin Williams; Sarah Halliday – Psychology in the Schools, 2025
Cyberbullying is an increasingly researched topic in the field of adolescence, largely due to its pervasiveness and negative wellbeing outcomes for victims. However, existing literature in this area largely focuses on those aged above 13 years, despite evidence suggesting that early adolescents (ages 10-13) also experience victimization.…
Descriptors: Early Adolescents, Computer Mediated Communication, Bullying, Victims
Lew, Moi Mooi; Nelson, Regena F.; Shen, Yuqian; Ong, Yung Kiet – International Education Studies, 2020
This study aimed to explore influential personal factors that could affect graduate students' academic persistence. Data were collected with an online questionnaire and one-on-one interviews. The findings indicated that graduate students had integrated into the academic environment and established a positive relationship with advisors and program…
Descriptors: Graduate Students, Academic Persistence, Social Integration, Student Adjustment
Hollinger, Jennifer; Larwin, Karen – International Journal of Teaching and Learning in Higher Education, 2019
The rapid changes in our society have amplified the need for adult learning opportunities. However, adults often make decisions not to persist in formal learning experiences in a smooth, linear fashion. The decision to pause or terminate formal learning is a complex behavioral decision that includes knowledge, the cognitive process, personal…
Descriptors: Numeracy, Learning Readiness, Correlation, Informal Education
Jennifer Hollinger – ProQuest LLC, 2018
The rapid changes in our society have amplified the need for adult learning opportunities. However, adults often make decisions not to persist in formal learning experiences in a smooth, linear fashion. The decision to pause or terminate formal learning is a complex behavioral decision that includes knowledge, the cognitive process, personal…
Descriptors: Adult Education, Adult Learning, Numeracy, Adults
Zgheib, Ghania; Al Daia, Roula; Serhan, Mireille; Melki, Antoine – International Journal on E-Learning, 2020
This study aimed at analyzing students' readiness to learn online in a Lebanese higher education institution and factors that contribute to the readiness of students in this context. Penn State University's Online Learning Readiness Survey was used to gather data from 328 students at a private higher education institution in Lebanon. Through…
Descriptors: Electronic Learning, Learning Readiness, Online Courses, Private Colleges
Templeton, Robert – Australian Journal of Adult Learning, 2021
Mature-age postgraduate students are those who are late to higher education or have returned to postgraduate study after an educational hiatus in industry. While some mature-age students seek a postgraduate qualification out of extrinsic motivations such as for vocational reasons, there are older non-traditional students who seek higher status;…
Descriptors: Academic Persistence, Sustainability, Doctoral Degrees, Educational Attainment
Abdous, M'hammed – Online Learning, 2019
Past research suggests that the use of an online learning orientation is an effective proactive strategy to ease online students' transition into online learning. Based on a sample of 3,888 online students from an urban public university, we used ordinal logistic regression to understand the influence of students' satisfaction with an online…
Descriptors: Self Efficacy, Orientation, Student Adjustment, Urban Universities
Mechur Karp, Melinda – New Directions for Community Colleges, 2016
Despite their best efforts, community colleges continue to see low rates of student persistence and degree attainment. Although such outcomes can be attributed in large part to students' lack of academic readiness, nonacademic issues also play a part. Building on Karp's 2011 framework of nonacademic support, this chapter explores the evidence that…
Descriptors: Holistic Approach, Community Colleges, Performance Factors, Success
Shaw, Melanie; Burrus, Scott; Ferguson, Karen – Online Journal of Distance Learning Administration, 2016
Research was conducted to explore predictors for online higher education student attrition. This research was conducted using results from the SmarterMeasure Learning Readiness Indicator to track students in their degree programs. In addition, student outreach was conducted with an experimental group of at-risk students to determine if additional…
Descriptors: Online Courses, Student Attrition, Performance Factors, Predictor Variables
OECD Publishing, 2016
Although low performers should invest more time and effort in their studies, they seldom do. One reason is because they often feel that they get no return on their investment: more studying does not automatically lead to better marks in school. But with the right kind of in-school support, including creative and engaging mathematics-related…
Descriptors: Low Achievement, Mathematics Achievement, Educational Attitudes, Learner Engagement
The Relationship between Self-Directed Learning Readiness and Student Retention in Nursing Education
Larmon, Brandy H. – ProQuest LLC, 2015
Retention in higher education, especially nursing education, is a concern for nurse educators. Due to the needs of nurse graduates and practicing nurses, the characteristic of self-directed learning in students is often an educational goal of a rigorous nursing curriculum. Program retention is often impacted by such demands. This study, based upon…
Descriptors: Independent Study, Nursing Education, Correlation, Academic Persistence
Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
Davis, Matthew H. – ProQuest LLC, 2013
The purpose of this study was to determine if an online learning readiness survey (OLRS) is predictive of successful course completion in an online adult secondary learning program. Specifically, this study sought to determine whether a 5-factor online learning readiness survey accurately predicted course completion and non-completion. The data…
Descriptors: Predictor Variables, Academic Achievement, Success, Adult Learning
Mead, Molly Sherk – ProQuest LLC, 2011
Attrition in online programs has historically been much higher than in traditional face to face programs, creating concern regarding the appropriateness of online learning for all populations. This study aimed to address the question of whether students' levels of self-directed learning readiness and the quality ratings of online courses would be…
Descriptors: Academic Achievement, Grades (Scholastic), Program Effectiveness, Student Attitudes
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