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Katerina Nerantzaki; Polykarpos Meladianos – Journal of Interactive Learning Research, 2025
Virtual reality (VR) technology has greatly expanded its role in education. It provides immersive experiences that enhance learning across various disciplines. Understanding the role of emotions in technology-based learning environments is crucial for improving educational outcomes. This study aimed to explore how VR environments evoke university…
Descriptors: Computer Simulation, Technology Uses in Education, Emotional Response, Undergraduate Students
Toni Honicke; Jaclyn Broadbent; Matthew Fuller-Tyszkiewicz – Higher Education Research and Development, 2023
According to Bandura's theory of reciprocal determinism, self-efficacy and academic achievement can have a mutual influence over one another. While empirical research generally supports this position, little focus has been given to within- and between-person factors that may moderate this relationship. The present study explored how initial…
Descriptors: Self Efficacy, Academic Achievement, Difficulty Level, Student Attitudes
Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory
Wang, Wei-Tsong; Lin, Ying-Lien; Lu, Hsin-En – Education and Information Technologies, 2023
Students are commonly in a high cognitive load state when they encounter sophisticated knowledge. Whether the novel augmented reality (AR) technology can be utilized in an online learning course to explain complicated scientific concepts in a more understandable manner to students during the COVID-19 period is an unaddressed issue. This study aims…
Descriptors: Computer Simulation, Online Courses, COVID-19, Pandemics
Seyedhamed Sadoughvanini; Hamed Ghaemi – Australian Journal of Applied Linguistics, 2025
The ability of students to deal with common academic difficulties is referred to as academic buoyancy. It can also be described as the capacity of students over obstacles and difficulties that are typical of the everyday school experience. The purpose of this research was to examine the connections between the academic buoyancy of Iranian…
Descriptors: Computer Mediated Communication, English (Second Language), Second Language Learning, Second Language Instruction
Abbiati, Nidia Nora; Fabrizio, María Del Carmen; López, María Virginia; Pérez, Adriana; Plencovich, María Cristina; Cueto, Gerardo – Statistics Education Research Journal, 2021
Students from non-statistics degree programs often perceive statistics as a burden, underestimating its usefulness and encountering difficulties that cause them anxiety and stress, which may lead many of them to fail statistics courses. Students' attitudes can hinder their learning and development of useful skills associated with statistical…
Descriptors: Foreign Countries, Statistics Education, Student Attitudes, Introductory Courses
Lynch, Raymond; Hurley, Adrian; Cumiskey, Olivia; Nolan, Brian; McGlynn, Bridgeen – Irish Educational Studies, 2019
This article considers the relationship between differential homework task difficulty, student engagement and performance across four Irish post-primary school sites. A total of 236 participants completed all elements of this study. All participants were junior cycle students, aged between 12 and 16 years. The study employed a standardised…
Descriptors: Correlation, Learner Engagement, Homework, Difficulty Level
Cheng, Xin; Ma, Xin-Yue; Luo, Chaohua; Chen, Jian; Wei, Wei; Yang, Xuesong – Advances in Physiology Education, 2021
Students' preferences and engagement with online educational resources and activities are crucial for academic success in the context of online medical education. This study investigated the preferences of Chinese medical students regarding the teaching strategies used by instructors and their relationship with course difficulty level, student's…
Descriptors: Correlation, Medical Students, Preferences, Electronic Learning
Kottmeyer, Alexa M.; Van Meter, Peggy; Cameron, Chelsea – Advances in Physiology Education, 2020
College biology courses commonly use diagrams to convey information. These visual representations are embedded in course materials with the expectation that students can comprehend and learn from them. Educational research, however, suggests that many students have difficulty understanding diagrams and the conventions (e.g., labels, arrows) they…
Descriptors: Visual Aids, Comprehension, Undergraduate Students, College Science
Workman, Joseph; Heyder, Anke – Social Psychology of Education: An International Journal, 2020
In American high schools female students put greater effort into school and outperform boys on indicators of academic success. Using data from the High School Longitudinal Study of 2009, we found female students' greater academic effort and achievement was partly explained by different social incentives to trying hard in school experienced by male…
Descriptors: Gender Differences, Success, Academic Achievement, Social Influences
Emily M. Meyer – ProQuest LLC, 2021
School psychologists use intelligence and academic achievement test scores to understand individual differences in abilities that may be directed towards learning and the learning that has already occurred. To make ethical and effective decisions regarding individualized educational programs and interventions, test users must understand the…
Descriptors: Academic Achievement, Intelligence, Multidimensional Scaling, School Psychologists
Wu, Fan; Fan, Weihua; Arbona, Consuelo; de la Rosa-Pohl, Diana – European Journal of Engineering Education, 2020
Guided by Expectancy Value Theory (EVT), we investigated the association of students' engineering self-efficacy and subjective task values (attainment, intrinsic, utility and cost) to four achievement-related behaviours: choice to take more engineering courses, effort in academic tasks, persistence to complete engineering tasks in the face of…
Descriptors: Self Efficacy, Engineering Education, Academic Achievement, Predictor Variables
Soland, James – Educational Measurement: Issues and Practice, 2019
As computer-based tests become more common, there is a growing wealth of metadata related to examinees' response processes, which include solution strategies, concentration, and operating speed. One common type of metadata is item response time. While response times have been used extensively to improve estimates of achievement, little work…
Descriptors: Test Items, Item Response Theory, Metadata, Self Efficacy
Liu, Jinming; Huang, Ping – Science Insights Education Frontiers, 2021
Student academic burden exists to varying degrees throughout the world. To reach a comprehensive and unbiased understanding of the roles of academic burden, this paper explores academic burden from different viewpoints and summarizes existing assessment indexes for it. Factors correlated with student academic burden are examined and detailed…
Descriptors: Academic Achievement, Student Development, Role, Correlation
Somers, Thomas; Llinares, Ana – International Journal of Bilingual Education and Bilingualism, 2021
The study of motivation in Content and Language Integrated Learning (CLIL) contexts has hitherto one-sidedly been concerned with motivation to learn the foreign language, without regard for CLIL's eponymous focus on the inextricable connection between language and content. To fill this gap, this article focusses on CLIL learners' motivation not…
Descriptors: Student Motivation, Secondary School Students, Grade 7, Preadolescents

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