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Tseng, Chun-Hsiung; Lin, Hao-Chiang Koong; Chen, Yung-Hui; Lin, Jia-Rou; Huang, Andrew Chih-Wei – Cogent Education, 2022
Past researches show that personality trait is a strong predictor for one's academic performance. Today, mature and verified marker systems for assessing personality traits already exist. However, marker systems-based assessing methods have their own limitations. For example, dishonest responses cannot be avoided. In this research, the goal is to…
Descriptors: Student Characteristics, Personality Traits, Correlation, Physiology
Zetriuslita Zetriuslita; Sitti Fithriani Saleh; Baharullah Baharullah; Laelasari Laelasari – Research in Social Sciences and Technology, 2024
Online learning affects students' curiosity, so it is important to develop students' curiosity during the pandemic. The purpose of this study is to describe and analyze students' curiosity about online learning. This study was conducted in the Department of Mathematics Education during the odd semester 2021/2022 with 106 students in three…
Descriptors: Mathematics, Personality Traits, Student Characteristics, Electronic Learning
Elizabeth G. Hunter; Jayna Niblock; Samantha M. Barefoot; Jackson Miller; Jason Hughes; Lydia Kite; Edith Scarletto – Journal of Occupational Therapy Education, 2025
Online learning is a growing area in occupational therapy education. It is important for faculty to use the modality of online learning to understand the influence of student personality traits, defined as relatively stable characteristics that influence thinking and behavior, on student satisfaction and success in graduate level programs. By…
Descriptors: Student Characteristics, Personality Traits, College Students, Student Satisfaction
Tali Gazit – Information and Learning Sciences, 2024
Purpose: The purpose of this study was to obtain valuable insights into students' engagement and experiences within the virtual learning environment, especially in the context of crises. Among the innumerable challenges people throughout the world faced during the first year of the COVID-19 pandemic, those of students in institutions of higher…
Descriptors: Electronic Learning, Learner Engagement, COVID-19, Pandemics
Chi-Tung Chen; Chih-Ming Chen; Hsiao-Ting Tsai – Interactive Learning Environments, 2024
This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners' discussion behaviours during the ISAFS assisted learning…
Descriptors: Behavior Patterns, Electronic Learning, Discussion, Instructional Effectiveness
Josie C. Auger; Janelle M. Baker; Martin Connors; Barbara Martin – International Review of Research in Open and Distributed Learning, 2023
This paper focuses on the experiences of Indigenous learners at Athabasca University. Having access to online education provided a sense of normalcy for students during the global pandemic while many post-secondary institutions and Indigenous communities were closed. The purpose of the research was two-fold: (1) to determine the dynamics of…
Descriptors: COVID-19, Pandemics, Indigenous Populations, Student Characteristics
Mehmet Palanci – Online Submission, 2023
The purpose of this research is the longitudinal examination of the change in learning motivation (LM) and attention level (AL) of students continuing formal education at secondary school in the pre-pandemic period (PreP), in the pandemic period (PP) during the process of online education, and in the post-pandemic period (PostP) during the new…
Descriptors: Student Motivation, Learning Motivation, Attention, Secondary School Students
Pamela Walsh; Cindy Ives; Beth Perry – OTESSA Journal, 2023
This paper presents the findings of our exploration of our open educational practices (OEP) with graduate students. As reflective practitioners, we used a self-study methodology and collaborative autoethnographic methods to interrogate our open approaches to teaching and supervision. We draw on our developing competencies to support the wisdom,…
Descriptors: Open Education, Educational Practices, Graduate Students, Ethnography
Bahçekapili, Ekrem; Karaman, Selçuk – Knowledge Management & E-Learning, 2020
This study tests the direct and indirect effects of online learners' personality traits, self-efficacy, and academic locus of control variables on grade point average (GPA) via path analysis. The participants of the study are 525 online learners from two different universities in Turkey. The results of the study reveal a good fit of the proposed…
Descriptors: Personality Traits, Self Efficacy, Locus of Control, Academic Achievement
Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – Educational Technology & Society, 2021
Precision education requires two equally important conditions: accurate predictions of academic performance based on early observations of the learning process and the availability of relevant educational intervention options. The field of learning analytics (LA) has made important contributions to the realisation of the first condition,…
Descriptors: Learning Analytics, Individualized Instruction, Blended Learning, Electronic Learning
Omheni, Nizar; Kalboussi, Anis; Mazhoud, Omar; Kacem, Ahmed Hadj – Turkish Online Journal of Distance Education, 2016
Researchers in distance education are interested in observing and modeling learners' personality profiles, and adapting their learning experiences accordingly. When learners read and interact with their reading materials, they do unselfconscious activities like annotation which may be key feature of their personalities. Annotation activity…
Descriptors: Distance Education, Personality, Student Characteristics, Documentation
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
Fanfarelli, Joseph R.; McDaniel, Rudy – Journal of Educational Technology Systems, 2015
Badge use has rapidly expanded in recent years and has benefited a variety of applications. However, a large portion of the research has applied a binary "useful" or "not useful" approach to badging. Few studies examine the characteristics of the user and the impact of those characteristics on the effectiveness of the badging…
Descriptors: College Students, Recognition (Achievement), Individual Differences, Student Characteristics
Nakayama, Minoru; Mutsuura, Kouichi; Yamamoto, Hiroh – Electronic Journal of e-Learning, 2014
A fully online learning environment requires effective learning management in order to promote pro-active education. Since student's notes are a reflection of the progress of their education, analysis of notes taken can be used to track the learning process of students who participate in fully online courses. This paper presents the causal…
Descriptors: Foreign Countries, Electronic Learning, Notetaking, Learning Processes
Smith, Russell K. – Research in Higher Education Journal, 2014
A segmentation study is used to partition college students into groups that are more or less likely to adopt tablet technology as a learning tool. Because the college population chosen for study presently relies upon laptop computers as their primary learning device, tablet technology represents a "next step" in technology. Student…
Descriptors: College Students, Cluster Grouping, Student Attitudes, Laptop Computers
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