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Alexander Brodsky; Andreas Rausch; Jürgen Seifried – Vocations and Learning, 2024
Internships offer the opportunity to gain experience and skills by working in organisations or to establish a professional network, and there is empirical evidence of the positive effects of practical experience in higher education. However, there are only a few studies on the characteristics of workplace tasks that facilitate learning during…
Descriptors: Informal Education, Internship Programs, Business Education, Pretests Posttests
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
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
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
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
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
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
Examining the Relationship between Patience, Emotion Regulation Difficulty and Cognitive Flexibility
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
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
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
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
Gado, Sabrina; Kempen, Regina; Lingelbach, Katharina; Bipp, Tanja – Psychology Learning and Teaching, 2022
Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This…
Descriptors: Artificial Intelligence, Psychology, Student Attitudes, Value Judgment
Wang, Shutao; Zhang, Demei – Assessment & Evaluation in Higher Education, 2020
The aim of this study was to determine the mediating effect of learning engagement on the relationship between perceived teacher feedback and college students' academic performance, and the moderating effect of assessment characteristics on the relationship between perceived teacher feedback and learning engagement. A sample of 2,458 students in a…
Descriptors: Feedback (Response), Academic Achievement, Learner Engagement, Student Evaluation
Tzafilkou, Katerina; Perifanou, Maria; Economides, Anastasios A. – Education and Information Technologies, 2021
Learning related emotions (LREs) are determinant for students' achievement both in face-to-face and online education. Research has also shown that LREs tend to affect technology acceptance which in turn affects learning outcomes as well. Today though, the negative psychological impact of the COVID-19 crisis and the sudden transmission to…
Descriptors: Negative Attitudes, Psychological Patterns, Difficulty Level, Electronic Learning
Qashou, Abeer – Education and Information Technologies, 2021
The tremendous and rapid developments in the information and communications technology sector as well as mobile devices have resulted in modern technologies, one of which is Mobile Learning (M-learning). M-learning is a new technique for learning that helps students to do their educational activities and access the learning materials easily…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices