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Corina Milagro Mosqueira Taipe; Larissa Cristina Mazer; Nayara Paula Fernandes Martins Molina; Caíque Rossi Baldassarini; Gabriela Di Donato; Assis Do Carmo Pereira Júnior; Adriana Inocenti Miasso; Patricia Leila dos Santos – Journal of Latinos and Education, 2025
The COVID-19 pandemic has brought the challenge of online teaching to graduate courses, without prior preparation for students and teachers. In this context, the aim of the study was to identify sociodemographic predictors of difficulty in carrying out online academic activities by graduate students, by region of Brazil, during the COVID-19…
Descriptors: Social Class, Demography, Predictor Variables, Difficulty Level
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Abd Aziz, Nurul Nadia; Aziz, Mohd Amar; Abd Rahman, Noor Amira Syazwani – Journal of Applied Research in Higher Education, 2023
Purpose: This study aimed to explore the technostress effects on the students' expectancy in their academic performance. Three main factors were used as predictors, namely techno-complexity (TC), techno-insecurity (TIS) and techno-overload (TO), to measure the students' performance expectancy via the mediating effects of student satisfaction (SS).…
Descriptors: Student Satisfaction, Technology Uses in Education, Anxiety, Academic Achievement
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Jon-Chao Hong; Jhen-Ni Ye; Jian-Hong Ye; Ling-Wen Kung – Interactive Learning Environments, 2024
Attentional control theory indicates that concentration is considered an important variable that contributes to learning. There are some devices for players to practice their concentration, but there are few virtual reality (VR) designs which can increase the level of difficulty for students to discipline their mental concentration with…
Descriptors: Attention Control, Predictor Variables, Cognitive Processes, Difficulty Level
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Chili Li; Xue Wang; Long Qian – SAGE Open, 2025
The effectiveness of English Language Teaching (ELT) materials significantly influences the learning outcomes of English as a Foreign Language (EFL) learners, positioning these resources as cardinal in the acquisition process. Despite this widely acknowledged significance, there remains a notable gap in research concerning the evaluation of key…
Descriptors: Syntax, Difficulty Level, Second Language Instruction, English (Second Language)
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Bozdag, Berkan – Participatory Educational Research, 2021
The aim of this study is to examine the relationship between university students' fear of negative evaluation and their academic dishonesty tendencies and to compare them in terms of various variables. The sample of the study carried out in the relational screening model consists of 306 students, who were selected by the easily accessible sampling…
Descriptors: College Students, Student Evaluation, Cheating, Foreign Countries
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Pessi Lyyra; Sanna Anttonen; Tomi Waselius – European Journal of Open, Distance and E-Learning, 2024
A major challenge for distance learning in higher education is supporting course completion. Counteracting completion risk factors requires investigating their significance across (non)completion stages. We tested the predictability of known risk factors at each completion stage. Not initiating was explained by available time, low motivation and…
Descriptors: Distance Education, Open Education, Higher Education, Online Courses
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Miaomiao Liu; Yixun Li; Yongqiang Su; Hong Li – Scientific Studies of Reading, 2024
Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…
Descriptors: Difficulty Level, Textbooks, Algorithms, Artificial Intelligence
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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
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Gökçen, Gülden; Arslan, Coskun; Tras, Zeliha – Online Submission, 2020
In this study, it was aimed to investigate the relationship between patience, emotion regulation difficulty, and cognitive flexibility among university students, and to determine the predictability of patience in cognitive flexibility and emotion regulation difficulty. The study group of the study consisted of 342 (65.5%) females, 180 (34.5%)…
Descriptors: Foreign Countries, College Students, Psychological Patterns, Personality Traits
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Al-Maroof, Rana Saeed; Salloum, Said A.; Hassanien, Aboul Ella; Shaalan, Khaled – Interactive Learning Environments, 2023
This study seeks to explore the effect of fear emotion on students' and teachers' technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platform in private higher education institutes. The data obtained from the study were analyzed by using the partial least squares structural equation…
Descriptors: COVID-19, Pandemics, Fear, Educational Technology
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Dorofeeva, Svetlana V.; Laurinavichyute, Anna; Reshetnikova, Victoria; Akhutina, Tatyana V.; Tops, Wim; Dragoy, Olga – Journal of Research in Reading, 2020
Background: The important role of phonological processing for reading has been demonstrated by many studies. The purpose of this research was to investigate the role of phonological processing for reading in Russian. Specifically, we tested whether the overall complexity of a phonological task predicts reading fluency and reading comprehension.…
Descriptors: Russian, Phonological Awareness, Reading Processes, Difficulty Level
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Thongyoi, Krittaya; Poonpon, Kornwipa – rEFLections, 2020
The study aims to investigate phrasal complexity measures that can predict EFL students' academic writing proficiency. Academic English written test responses were derived from written responses from the Khon Kaen University Academic English Language Test (KKU-AELT). Five hundred and thirty written responses were separated into groups based on…
Descriptors: English (Second Language), Academic Language, Writing Skills, Phrase Structure
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Dallagi, Maha – Journal of Practical Studies in Education, 2021
Reading is perhaps the most important skill for second language learners in academic contexts (Grabe, 2014; Lynch & Hudson, 1991). The need to be able to read in English is especially felt at the tertiary level where most of the academic sources are in English. Yet, Reading is one of the skills that learners often find extremely difficult…
Descriptors: Reading Strategies, Reading Skills, Difficulty Level, College Students
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Qing Guo; Huan Li; Sha Zhu – Journal of Educational Computing Research, 2024
Previous research has not adequately explored students' behavioral processes when addressing computational thinking (CT) problems of varying difficulty, limiting insights into students' detailed CT development characteristics. This study seeks to fill this gap by employing gamified CT items across multiple difficulty levels to calculate…
Descriptors: Computation, Thinking Skills, Student Behavior, Difficulty Level
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Rafatbakhsh, Elaheh; Ahmadi, Alireza – Asian-Pacific Journal of Second and Foreign Language Education, 2023
Estimating the difficulty of reading tests is critical in second language education and assessment. This study was aimed at examining various text features that might influence the difficulty level of a high-stakes reading comprehension test and predict test takers' scores. To this end, the responses provided by 17,900 test takers on the reading…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Reading Comprehension
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