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Zhuoyao Cui; Haochen Yang – SAGE Open, 2023
This study investigates the influence of game elements on active learning intentions within digital learning platforms. Drawing from a situational perspective, we developed a model and validated it using data from 492 respondents collected via questionnaires. Our findings suggest that while social elements enhance active learning intentions, both…
Descriptors: Educational Technology, Technology Uses in Education, Gamification, Active Learning
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Fang Zhang; Wenjun Yu; Hao Xu – SAGE Open, 2025
This paper reports on a study that investigates the impact of learning multiple foreign languages on learners' social emotional competence development as mediated by the number of foreign languages and the recency of the learning experience. A questionnaire survey that involved 465 Chinese learners of foreign languages was administered that…
Descriptors: Social Emotional Learning, Second Language Instruction, Second Language Learning, Student Surveys
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Khanum, Almas; Bashir, Faiza – SAGE Open, 2021
The study investigates the current state of information demands and the information-seeking behavior of Urdu literary students using digital technologies. Another purpose of the study was to determine the level of satisfaction with both the existing facilities and resources. A quantitative survey method of research is used to achieve the study's…
Descriptors: Information Seeking, Technological Literacy, Urdu, Literature
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Moradi, Hamzeh; Chen, Jianbo – SAGE Open, 2022
The socio-psychological variables that affect bilinguals' choices of code-switching (CS) and code-mixing (CM) as a verbal strategy make prediction of their occurrence almost impossible. This research investigates the social motivations and socio-pragmatic aspects of Chinese-English CS/CM among Chinese undergraduate students. Using a questionnaire…
Descriptors: Bilingualism, Code Switching (Language), Chinese, English (Second Language)
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Dakduk, Silvana; Santalla-Banderali, Zuleima; van der Woude, David – SAGE Open, 2018
This article evaluates the factors involved in the acceptance of Blended Learning (BL) with executives based on the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model in executive education. The empirical analysis uses data from 307 responses to an online questionnaire by senior and middle-ranking managers. The confirmatory…
Descriptors: Blended Learning, Management Development, Administrator Attitudes, Motivation