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Davy Tsz Kit Ng; Chen Xinyu; Jac Ka Lok Leung; Samuel Kai Wah Chu – Journal of Computer Assisted Learning, 2024
Background: As the significance of artificial intelligence (AI) continues to increase, there is a need for effective scaffolding and support for novice learners. Educators have encountered challenges in effectively scaffolding novice learners AI concepts, and providing appropriate motivational support. Research evidence has shown the potential of…
Descriptors: Artificial Intelligence, Novices, Scaffolding (Teaching Technique), Game Based Learning
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Fakieh Alrabai – Journal of Multilingual and Multicultural Development, 2024
This study utilises a holistic approach of positive psychology (PP) in the second language acquisition (SLA) domain to test a model of willingness to communicate in English language (L2WTC) among 328 Saudi learners. The model examines how potential connections among learners' negative emotions (anxiety and boredom), positive emotions (enjoyment…
Descriptors: Correlation, Student Attitudes, Student Participation, English (Second Language)
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Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
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Susan Crandall Hart; James C. DiPerna; Pui-Wa Lei; Hui Zhao; Tianying Sun; Xinyue Li; Kyle Husmann – AERA Open, 2024
Although proponents suggest that universal social-emotional learning (SEL) programs promote academic achievement, few studies have directly tested these outcomes under routine conditions in schools. Forty first-grade classrooms participated in an effectiveness trial in which schools (N = 13) were randomly assigned to implementation of a universal…
Descriptors: Social Emotional Learning, Academic Achievement, Grade 1, Elementary School Students
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Xinghua Wang; Hui Pang; Matthew P. Wallace; Qiyun Wang; Wenli Chen – Computer Assisted Language Learning, 2024
This study investigated the application of an artificial intelligence (AI) coach for second language (L2) learning in a primary school involving 327 participants. In line with Community of Inquiry, learners were expected to perceive social, cognitive, and teaching presences when interacting with the AI coach, which was considered a humanized…
Descriptors: Artificial Intelligence, Second Language Instruction, Second Language Learning, Student Attitudes
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Emily John; Melor Md. Yunus – International Society for Technology, Education, and Science, 2024
Studies on social media usage have indicated that the use of social media has now become a norm with many educators utilizing social media applications as an approach to teaching and learning. This is because social media affordances have made this platform a versatile medium in the acquisition of language skills such as speaking which has been…
Descriptors: Social Media, Computer Mediated Communication, English (Second Language), Second Language Learning
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Lu, Kaili; Yang, Harrison H.; Shi, Yinghui; Wang, Xuan – International Journal of Educational Technology in Higher Education, 2021
To understand the development of students' higher-order thinking skills (HOTS) in the smart classroom environment, a structural equation modeling analysis was used to examine the relationships between key factors that influence students' learning and their HOTS within a smart classroom environment. A sample of 217 first-year Chinese college…
Descriptors: Thinking Skills, Technology Uses in Education, Educational Technology, College Freshmen
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Zhan, Ying; Jiang, Yushan; Wan, Zhi Hong; Guo, Jin Jun – Asia-Pacific Education Researcher, 2021
Drawing from Expectancy-Value Theory, this study explored the extent to which the interaction between learning motives for and self-efficacy in learning English as a foreign language (EFL) predicted deep language learning strategies by involving 693 undergraduates from mainland China in a survey. Stepwise multiple regression indicated that (i) as…
Descriptors: Undergraduate Students, Learning Strategies, Learning Theories, Second Language Learning
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Sailer, Michael; Sailer, Maximilian – British Journal of Educational Technology, 2021
For higher education, the question of how in-class activities can be supported in large lectures is of great relevance. This paper suggests a gamified flipped classroom approach to address this challenge. In an experimental study, N = 205 educational science students performed either gamified in-class activities using a gamified quiz with points…
Descriptors: Higher Education, Game Based Learning, Educational Games, Class Activities
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Çinar, Murat; Tüzün, Hakan – Journal of Computer Assisted Learning, 2021
This study compares the effects of object-oriented and robot programming activities on programming achievement, abstraction, problem solving, and motivation. In the study, two consecutive experimental cases were conducted to examine the consistency of findings. The research sample comprises 81 tenth-grade students undergoing vocational secondary…
Descriptors: Vocational High Schools, High School Students, Grade 10, Robotics
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Papi, Mostafa; Wolff, Dominik; Nakatsukasa, Kimi; Bellwoar, Emily – Language Teaching Research, 2021
The present study examines how learners' language mindsets (beliefs about the malleability of language intelligence) and achievement goals predict learners' preferences for different types of corrective feedback (CF). Questionnaire data were collected from 537 learners of Spanish as a foreign language at two North-American universities. Factor…
Descriptors: Learning Motivation, Preferences, Error Correction, Feedback (Response)
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Lim, Lisa-Angelique; Dawson, Shane; Gaševic, Dragan; Joksimovic, Srecko; Pardo, Abelardo; Fudge, Anthea; Gentili, Sheridan – Assessment & Evaluation in Higher Education, 2021
Research and development in learning analytics has established viable solutions for scaling personalised feedback to all students. However, questions remain regarding how such feedback is perceived, interpreted and acted upon by stakeholders. The present study reports on the analysis of focus group data from four courses to understand students'…
Descriptors: Student Attitudes, College Students, Emotional Response, Individualized Instruction
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Alan, Yakup – Education Quarterly Reviews, 2021
The purpose of this study is to reveal the effect of the reading habits of Syrian students studying at secondary schools on their vocabulary learning motivation. The mixed research model was used in the study. The universe of the study consists of Syrian secondary school students studying in Kilis. The sample consists of 164 Syrian secondary…
Descriptors: Secondary School Students, Reading Habits, Attitude Measures, Vocabulary Development
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Lin, Chia-Yin; Wu, Hsin-Kai – Chemistry Education Research and Practice, 2021
The purpose of this study is to examine the effects of different ways to use visualizations on high school students' electrochemistry conceptual understanding and motivation towards chemistry learning. Expanding upon a model-based learning approach (Khan, 2007), we adopted a VGEM sequence (View, Generate, Evaluate, and Modify) to create three…
Descriptors: Visualization, High School Students, Chemistry, Science Instruction
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Reyes, Encarnación; Gálvez, Jaime C.; Enfedaque, Alejandro – Education Sciences, 2021
This paper presents the experience of a group of Construction and Building Materials lecturers following the introduction of a new contest-based gamification activity aimed at improving interest and learning outcomes in the course. Students' motivation is of key importance in utilizing educational activities for study and learning in the subject.…
Descriptors: Game Based Learning, Learning Motivation, Active Learning, Cooperative Learning
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