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Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
Hong Shi; Shuqi Quan – World Journal of Education, 2024
An increasing number of research is focusing on L2 grit, which plays a significant role in SLA. But few studies examine the factors that affect L2 grit. This study investigates the internal predictors influencing L2 grit in Chinese college students, specifically focusing on L2 willingness to communicate (WTC), L2 anxiety and L2 joy. A structural…
Descriptors: Second Language Learning, Student Attitudes, Personality Traits, Second Language Instruction
Wu, Shu-Jing; Han, Jiao; Sun, Fu-Rong; Wan, Rong-Gen; Zhao, Yu-Quan – Interactive Learning Environments, 2023
While flipped learning has attempted to explain the benefits of technology applied to educational settings, this study aims to validate research questions and test the theory of the learning strategies in flipped learning. A self-designed questionnaire, consisting of 17 critical indicators of online self-regulation, project-based learning and…
Descriptors: College Students, Learner Engagement, Competence, Flipped Classroom
Albalawi, Fatemah H.; Al-Hoorie, Ali H. – SAGE Open, 2021
Research into language learning demotivation has tended to focus on the identification of discrete factors resulting in demotivation. In this article, we report an investigation into the interrelationship among factors eventually leading to demotivation using a sequential exploratory mixed-methods design. In Study 1, 13 participants were…
Descriptors: Student Motivation, Second Language Learning, Structural Equation Models, Self Concept
Riaz, Sheza; Khan, Hadi Hassan; Sarwar, Bilal; Ahmed, Wahab; Muhammad, Noor; Reza, Sajjida; Ul Haq, Sheikh Muhammad Nabeel – SAGE Open, 2022
This study examines the relationship between the financial socialization agents, attitude toward money, and financial literacy with the mediating role of financial self-efficacy and the moderating role of mindfulness. The self-administered questionnaire was used for data collection from higher education institutions using the convenience sampling…
Descriptors: Metacognition, Money Management, Structural Equation Models, Self Efficacy
Afacan Adanir, Gülgün; Muhametjanova, Gulshat – Education and Information Technologies, 2021
A key factor in the success of a technology is its use by target users. Therefore, the effectiveness of mobile learning depends on student acceptance. In this regard, the purpose of this study is to analyze the factors that influence university students' acceptance of mobile learning. This study is based on Technology Acceptance Model (TAM) and…
Descriptors: College Students, Student Attitudes, Technology Uses in Education, Telecommunications
Ke Hu; Asmaa AlSaqqaf – Australian Journal of Applied Linguistics, 2025
Over the past decade, there has been an increasing emphasis on English for Specific Purposes (ESP) within China's higher education language programs. However, the shift towards ESP presents a multifaceted challenge, particularly for business English teaching at higher education, where speaking proficiency is crucial yet often falls below…
Descriptors: Factor Analysis, Business English, English for Special Purposes, Second Language Learning
Majid Elahi Shirvan; Abdullah Alamer – Journal of Multilingual and Multicultural Development, 2024
Given the recent attention to language-domain-specific grit in the field of SLA and the scarcity of research on the antecedents of L2 grit, we proposed a model that links L2 learners' basic psychological needs (BPN) (i.e. autonomy, competence, and relatedness), L2 grit (i.e. perseverance of effort (PE) and consistency of interest (CI)), and L2…
Descriptors: Correlation, Psychological Needs, Academic Persistence, Personality Traits
Qiu, Chun-an; He, Hui-xian; Chen, Guo-li; Xiong, Min-xuan – Education and Information Technologies, 2022
There is an urgent need to address the critical demand for qualified Chinese language teachers against the background of China's seeking greater Sino--foreign cultural and educational cooperation. The literature on integrating technological pedagogical content knowledge (TPACK) in language teaching has been increasing in the last few years.…
Descriptors: Preservice Teachers, Student Attitudes, Technological Literacy, Pedagogical Content Knowledge
Lee, Jang Ho; Lee, Hansol – Language Awareness, 2023
As digital technology is becoming an increasingly critical component of education, learners' socioeconomic status (SES) and technology use are becoming more important in their learning. In the context of English learning, the present study modeled how learners' SES and their perception of technology use for language learning are linked to their…
Descriptors: Socioeconomic Status, English (Second Language), Second Language Learning, Second Language Instruction
Pradeep, M.; Satish, K. P. – Industry and Higher Education, 2022
Start-up ecosystems are emerging rapidly worldwide. The speed of technology innovation and the diversity of business ideas keep the start-up landscape in constant flux. While many emerging start-ups are in the areas of electronics and information sciences, the field of mechanical engineering has huge potential that has yet to be exploited. Today's…
Descriptors: Engineering Education, Innovation, Technological Advancement, Entrepreneurship
Erck, Ryan W.; Sriram, Rishi – Journal of College and University Student Housing, 2022
Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…
Descriptors: Undergraduate Students, Living Learning Centers, Correlation, Models
Abdul Rabu, Siti Nazleen; Hussin, Haniza; Bervell, Brandford – Education and Information Technologies, 2019
The integration of Quick Response (QR) codes in classrooms have been identified as an important tool in promoting active as well as distributed learning, especially in higher education. Even though the versatility of this technology within the educational milieu cannot be over-emphasized, the initial perceptions of students who are at the centre…
Descriptors: Coding, Technology Uses in Education, Higher Education, Technology Integration
Thorsen, Cecilia; Henry, Alastair; Cliffordson, Christina – International Journal of Bilingual Education and Bilingualism, 2020
In the L2 Motivational Self System (L2MSS) motivation is conceptualized to be generated by discomfort associated with the learner's experience of a discrepancy between their current L2 self, and their ideal L2 self. However, in the L2MSS model, this discrepancy is not operationalized. A questionnaire containing measures of current L2 selves was…
Descriptors: Learning Motivation, English (Second Language), Second Language Learning, Second Language Instruction
Hassan, Aamir; Saleem, Imran; Anwar, Imran; Hussain, Syed Abid – Education & Training, 2020
Purpose: The purpose of this study is to investigate the impact of opportunity recognition and entrepreneurial self-efficacy on the entrepreneurial intention of Indian university students. This paper also examines the moderating role of entrepreneurship education and gender on the opportunity recognition-intention and self-efficacy--intention…
Descriptors: Intention, Entrepreneurship, Indians, Self Efficacy