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Jess Wei Chin Tan; Horn Mun Cheah; Hian Chye Koh – Cogent Education, 2024
The effects of the direct and indirect relationships of personality traits on academic performance are shared in this paper. These complex relationships are examined using Structural Equation Modelling (SEM) with reference to the modified Biggs' 3P model. The major findings of the effects of personality traits on academic performance are (1) the…
Descriptors: Personality Traits, Academic Achievement, College Students, Correlation
Lilian Anthonysamy; Poovilashini Sugendran; Lim Ooi Wei; Teoh Sian Hoon – Education and Information Technologies, 2024
Enhancing students' analytical thinking skills holds great promise for bolstering a nation's economic growth, fostering a dynamic learning culture, and nurturing human capital development. It is especially critical in today's rapidly changing landscape, where the demand for skilled, adaptable graduates is high. Achieving and sustaining these…
Descriptors: Metacognition, Competence, Logical Thinking, College Students
Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
Regina Sutarmina; Jamie Costley; Anna Gorbunova; Christopher Lange – Education and Information Technologies, 2025
This study examines relationships among several variables within the context of online learning in higher education including self-regulated effort, maintained situational interest, gender differences, and age-related factors. Analyzing data from a diverse Open Cyber University of Korea student sample, the research highlights a positive…
Descriptors: Online Courses, Learning Motivation, Metacognition, Age Differences
Viridiana L. Benitez; Ye Li – Language Learning and Development, 2024
Cross-situational word learning, the ability to decipher word-referent links over multiple ambiguous learning events, has been documented across development and proposed to be key to vocabulary acquisition. However, this work has largely focused on learning from one-to-one structure, where each referent is consistently linked with a single label.…
Descriptors: Vocabulary Development, Preschool Children, Young Children, Adults
Lulaj, Enkeleda – International Journal of Instruction, 2022
This paper presents empirical evidence on financial-stress (FSF) and educational-teaching (ETF) factors to students. Therefore, the purpose of this research was to identify whether these factors were related to each-other, as well as if they affected students' performance during online learning during the Cov19 pandemic. Correlation analysis…
Descriptors: Correlation, Financial Problems, COVID-19, Pandemics
Natalie Toomey; Misook Heo – Learning: Research and Practice, 2024
This research examined how spatial ability, sex, and cognitive styles associate with self-directed multimedia resource use (study 1) and learning outcomes (study 2). In study 1, three learning resource options were offered: two unimodal (text-only and labelled-picture) and one multimodal (picture-with-narration). Findings revealed that lower…
Descriptors: Spatial Ability, Gender Differences, Pictorial Stimuli, Task Analysis
Genimon Vadakkemulanjanal Joseph; P. Athira; M. Anit Thomas; Dawn Jose; Therese V. Roy; Malavika Prasad – Digital Education Review, 2024
The technology-supported education systems seamlessly integrated throughout the globe in response to the demands of post COVID-19 pandemic. The swift developments of the digital tools with Artificial Intelligence (AI) support are also readily diffused among the educational communities. This research paper investigates the synergistic impact of…
Descriptors: Digital Literacy, Artificial Intelligence, Computer Software, Learning Processes
Scott Thorne; Nathan Mentzer; Scott Bartholomew; Greg J. Strimel – International Journal of Technology and Design Education, 2024
In design courses, reviewing how others have solved design problems or completed projects is common practice and often encouraged by educators. Using student work as examples can provide context for assessment criteria and help students approach new design problems. While studies have explored the use of exemplars in various disciplines, little…
Descriptors: Design, Engineering Education, Learning Motivation, Self Efficacy
Helena C. Malinakova – Journal of Chemical Education, 2025
Organic chemistry presents a significant obstacle for students seeking entry into health-related professions. Students' ability to develop effective study approaches is an important predictor of success in the course. Herein, we report an investigation utilizing an OCH-adjusted M-ASSIST instrument to assess possible changes in students' study…
Descriptors: Longitudinal Studies, Study Habits, Organic Chemistry, Structural Equation Models
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Shanomae Rose – i.e.: inquiry in education, 2024
The COVID-19 pandemic necessitated the use of technology such as Moodle in course delivery to facilitate student engagement. This research explored how lecturers delivered courses through Moodle and how students perceived interaction with instructors, content, and peers via Moodle and the influence on student satisfaction. This mixed-method…
Descriptors: Teacher Attitudes, Student Attitudes, Learning Management Systems, COVID-19
Esther Julia Korkor Attiogbe; Yaw Oheneba-Sakyi; O. A. T. F. Kwapong; John Boateng – Journal of Research in Innovative Teaching & Learning, 2025
Purpose: Feedback is crucial in a learning process, particularly in an online interaction where both learners and instructors are distantly located. Thus, this paper aims to investigate the association between feedback strategies, embedded course syllabus and learning improvement in the Sakai Learning Management System.…
Descriptors: Feedback (Response), Educational Strategies, Distance Education, Learning Processes
De Backer, Liesje; Van Keer, Hilde; Valcke, Martin – European Journal of Psychology of Education, 2021
This study investigates (1) the impact of structuring versus reflection-provoking support on university students' adoption of socially shared metacognitive regulation (SSMR) during face-to-face peer tutoring (PT) and (2) the relation between SSMR and group performance. A quasi-experimental design was adopted, involving 72 educational sciences…
Descriptors: College Students, Cooperative Learning, Communities of Practice, Metacognition
Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)