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Direct linkYun Bai – SAGE Open, 2024
This mixed-methods study examined the effectiveness of Rosetta Stone, a mobile-based language learning application, on Chinese EFL students' listening, speaking, foreign language enjoyment (FLE), and foreign language anxiety (FLA). Two groups of intermediate Chinese EFL students from a language institute, with 33 students in the control group and…
Descriptors: English (Second Language), Second Language Learning, Telecommunications, Handheld Devices
Zahra Sadat Manzari; Hassan Vossoughinia; Behzad Nedaei; Hossein Rafiei; Mohamad Hossein Mafi – Health Education Research, 2024
The use of the best teaching method to promote self-care in patients with inflammatory bowel disease (IBD) has not been well defined. Therefore, the current study was conducted to compare the effect of self-care education by two methods of teach-back and a smartphone application. The current clinical trial with a pre- and post-test design was…
Descriptors: Self Efficacy, Diseases, Patients, Self Management
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Download full textJingfang Xia; Yao Ge; Zijun Shen; Mudasir Rahman Najar – International Review of Research in Open and Distributed Learning, 2024
Learners might have several challenges while attempting to learn a second/foreign language. Learners of Chinese face linguistic, psychological, and educational challenges. The integration of technology, especially artificial intelligence (AI), into teaching foreign languages is a blessing for teachers and learners. This study delved into the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Linguistics, Psychological Patterns
Isaac Lozano-Osorio; Sonia Ruiz-Olmedilla; Diana Perez-Marin; Maximiliano Paredes-Velasco – IEEE Transactions on Education, 2024
Contribution: A methodology based on the learning by teaching approach facilitated by a mobile learning tool for creating tutorials. A study of the impact this methodology has had on the emotional well-being of students and its correlation with academic performance has also been carried out. Background: Insufficient resources and the absence of…
Descriptors: Tutorial Programs, Vocational Education, Learning Processes, Outcomes of Education
George Koutromanos; Anastasios T. Mikropoulos; Dimitrios Mavridis; Christos Christogiannis – Education and Information Technologies, 2024
This study examines the factors that affect pre-service and in-service teachers' intention to use Mobile Augmented Reality (MAR) in their teaching through the proposed Mobile Augmented Reality Acceptance Model (MARAM). The MARAM builds on the existing Technology Acceptance Model (TAM) to incorporate four other components namely perceived relative…
Descriptors: Preservice Teachers, Physical Environment, Simulated Environment, Synthesis
