Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 15 |
Since 2006 (last 20 years) | 27 |
Descriptor
Educational Technology | 29 |
Personality Traits | 29 |
Student Characteristics | 29 |
Technology Uses in Education | 17 |
College Students | 15 |
Foreign Countries | 13 |
Student Attitudes | 13 |
Online Courses | 11 |
Correlation | 8 |
Academic Achievement | 7 |
Predictor Variables | 7 |
More ▼ |
Source
Author
Al Sharhan, Jamal | 1 |
Barczyk, Casimir C. | 1 |
Baxley, Glenn Keith | 1 |
Belland, Brian R. | 1 |
Bhagat, Kaushal Kumar | 1 |
Bhatt, Amola | 1 |
Bhatt, Shahir | 1 |
Cao, Wei | 1 |
Chahino, Michael | 1 |
Chang, Cheng-Chieh | 1 |
Chang, Chun-Yen | 1 |
More ▼ |
Publication Type
Journal Articles | 21 |
Reports - Research | 18 |
Dissertations/Theses -… | 5 |
Reports - Evaluative | 4 |
Books | 2 |
Collected Works - General | 2 |
Tests/Questionnaires | 2 |
Collected Works - Proceedings | 1 |
Education Level
Higher Education | 24 |
Postsecondary Education | 21 |
Elementary Secondary Education | 3 |
High Schools | 2 |
Secondary Education | 2 |
Two Year Colleges | 2 |
Adult Education | 1 |
Elementary Education | 1 |
Grade 11 | 1 |
Audience
Practitioners | 2 |
Researchers | 1 |
Location
China | 2 |
Japan | 2 |
Pennsylvania | 2 |
United Kingdom | 2 |
Asia | 1 |
Australia | 1 |
Brazil | 1 |
California | 1 |
Canada | 1 |
Canada (Montreal) | 1 |
China (Beijing) | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
ZuoYuan Liu; Elena Yushchik – Cogent Education, 2024
The primary objective is to investigate the potential applications of AI in education to enhance its quality and elevate students' knowledge levels. A comprehensive experiment was conducted, involving the integration of AI technology into the learning process of 279 students. A test was administered at the outset, categorizing students into four…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Program Effectiveness
Ling Pan; Shamsheer ul Haq; Xiaohua Shi; Muhammad Nadeem – SAGE Open, 2024
The integration of digitalization in higher education is a key to increasing the number of students getting access to education in the developing world. Inspired by the fast digitalization in higher education institutes and the lack of relevant empirical studies about the impact of this rapid digitalization on the learning behavior of students, we…
Descriptors: Digital Literacy, Competence, Innovation, Student Behavior
Hong, Jon-Chao; Cao, Wei; Liu, Xiaohong; Tai, Kai-Hsin; Zhao, Li – Journal of Research on Technology in Education, 2023
Due to COVID-19, the primary teaching method has changed from traditional face-to-face teaching to online teaching. The present study explored the correlates between two personality traits, Neuroticism and Extraversion, and two types of self-efficacy, Internet self-efficacy and academic self-efficacy, on practical performance anxiety. Data from…
Descriptors: Personality Traits, Predictor Variables, Internet, Self Efficacy
Luo, Heng; Yang, Tingting; Xue, Jin; Zuo, Mingzhang – British Journal of Educational Technology, 2019
The efficacy of the flipped classroom model largely depends on the specifications of its design and implementation, and one important specification to consider is student agency. With the purpose of prescribing the optimal level of student agency for the flipped classroom, this study conducted a repeated-measures experimental design to compare the…
Descriptors: Video Technology, Homework, Educational Technology, Technology Uses in Education
Bhatt, Shahir; Bhatt, Amola; Thanki, Shashank – International Journal of Education and Development using Information and Communication Technology, 2021
Education has undergone a paradigm shift due to the COVID-19 outbreak declared as a pandemic by the WHO in 2020. The current research attempts to identify the key factors which enable students' readiness for online learning (SROL). The Interpretive Structural Modelling (ISM) approach is used to draw contextual relationships among the enablers of…
Descriptors: COVID-19, Pandemics, Online Courses, School Closing
Bhagat, Kaushal Kumar; Wu, Leon Yufeng; Chang, Chun-Yen – Australasian Journal of Educational Technology, 2019
The aim of this exploratory study was to examine the impact of five personality traits ("extraversion," "agreeableness," "conscientiousness," "neuroticism," and "intellect/imagination") on the perception of students towards online learning. A total of 208 students from Taiwan (male = 96 and female…
Descriptors: Foreign Countries, Student Characteristics, Personality Traits, Online Courses
Idrizi, Ermira; Filiposka, Sonja; Trajkovik, Vladimir – International Review of Research in Open and Distributed Learning, 2021
This article examines the impact of personality traits, learning styles, gender, and online course factors (course difficulty, group affiliation, provided materials, etc.) in the academic success of students taking online courses and their overall success rate through traditional classes. Students' performance in the online learning environment is…
Descriptors: Success, Online Courses, Educational Technology, Technology Uses in Education
Baxley, Glenn Keith – ProQuest LLC, 2018
This secondary data study examined if there was a difference between academic achievement scores in a face-to-face class with an e-Component (face-to-face instruction that has been augmented with an online component) and a face-to-face class without an e-Component. Secondary data from a four-year Bachelor granting institution was used. The…
Descriptors: Academic Achievement, Educational Technology, Technology Uses in Education, Conventional Instruction
Watabe, Akiko – ProQuest LLC, 2018
This study examined the relationship between perfectionism, anxiety (i.e., emotional state anxiety, personality trait anxiety, inhibitory anxiety, prospective anxiety, sensitivity to reward, sensitivity to punishment), parenting styles (i.e., authoritative, authoritarian, permissive), GPA (measured by self-report responses), and SES (measured as…
Descriptors: Personality Traits, Anxiety, Correlation, Inhibition
Barczyk, Casimir C.; Duncan, Doris G. – Information Systems Education Journal, 2017
The impact of personality type on students' sense of classroom connectedness was examined in a study of university-level business courses that used Facebook to enhance classroom learning. The study was conducted using an independent measures static group comparison research design. Nearly 600 students registered in six different business courses…
Descriptors: Social Media, Personality Traits, Teaching Methods, Educational Technology
Sultan, Sarwat; Kanwal, Frasat – Bulletin of Education and Research, 2017
In distance learning, an internet-based learning has been developed as a learning platform for courses, and a distance learner's acquisition depends on his/her personal characteristics. Thus the present study was planned to investigate personal attributes of distance learners that may contribute to their levels of computer anxiety and computer…
Descriptors: Distance Education, Educational Technology, Technology Uses in Education, Anxiety
Khairutdinova, Milyausha R.; Lebedeva, Olga V. – International Journal of Environmental and Science Education, 2016
The relevance of the research problem is determined by intensification of integration processes in all spheres of life, which results in broadening international cooperation and cultural interaction between different nations and countries. The modern contradictory and heterogeneous world requires serious rethinking of the existing traditions of…
Descriptors: Second Language Instruction, High School Students, Student Characteristics, Personality Traits
Sheffield, Anneliese – ProQuest LLC, 2016
This research study investigated associations between online community college students' personal characteristics and experiences in online courses (n = 123). Specifically, students' personalities and cognitive styles were examined alongside the perceived quality and outcomes of collaboration. Negative correlations were found between the…
Descriptors: Two Year College Students, Community Colleges, Student Characteristics, Online Courses
Saadé, Raafat George; Al Sharhan, Jamal – Journal of Information Technology Education: Research, 2015
In an educational setting, the use of online learning tools impacts student performance. Motivation and beliefs play an important role in predicting student decisions to use these learning tools. However, IT-personality entailing playfulness on the web, perceived personal innovativeness, and enjoyment may have an impact on motivations. In this…
Descriptors: Student Motivation, Technology Uses in Education, Educational Technology, Electronic Learning
Nakayama, Minoru; Mutsuura, Kouichi; Yamamoto, Hiroh – Electronic Journal of e-Learning, 2017
The metrics of self-efficacy and self-assessment were surveyed and analysed in order to examine the effectiveness of note taking instruction on emotional aspects of participants during a blended learning course. The changes of emotional aspects due to student's individual characteristics were also analysed. Participants were surveyed twice during…
Descriptors: Self Efficacy, Self Evaluation (Individuals), Notetaking, Emotional Response
Previous Page | Next Page »
Pages: 1 | 2