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Yun 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
Sheree Rodney; Ami Mamolo – Canadian Journal of Science, Mathematics and Technology Education, 2023
This paper examines preservice teachers' experiences when they engage with tasks using dynamic technological applets to analyse data pertaining to societal issues. We examine two vignettes that discuss preservice teachers' interaction with dynamic visual representations of data related to plastic pollution and food supply. We analyse this data…
Descriptors: Preservice Teachers, Technology Uses in Education, Computer Oriented Programs, Data Analysis
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
Jingfang 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
Bahari, Akbar – Interactive Learning Environments, 2023
Second language teaching approaches that were originally proposed for classroom context are used for blended learning context as well as distance learning contexts regardless of their fundamental differences in terms of applicability, accessibility, objectives, designs and theoretical bases. Such theoretical and practical incompatibilities served…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Second Language Learning, English (Second Language)
Budenz, Alexandra; Wiseman, Kara P.; Keefe, Brian; Prutzman, Yvonne – Health Education & Behavior, 2022
Aims: This study aimed to examine engagement with mood-related content on the Smokefree.gov Initiative's smoking cessation resources. Methods: Smokefree.gov website analytics (July 2018-July 2019) were analyzed for user interactions with mood content on informational webpages and interactive self-assessment tools (mood quizzes, smoking quit…
Descriptors: Smoking, Health Behavior, Psychological Patterns, Web Sites
Melcher, Jennifer; Lavoie, Joel; Hays, Ryan; D'Mello, Ryan; Rauseo-Ricupero, Natali; Camacho, Erica; Rodriguez-Villa, Elena; Wisniewski, Hannah; Lagan, Sarah; Vaidyam, Aditya; Torous, John – Journal of American College Health, 2023
Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each…
Descriptors: Telecommunications, Handheld Devices, College Students, COVID-19
Jin, Sung-Hee; Im, Kowoon; Yoo, Mina; Roll, Ido; Seo, Kyoungwon – International Journal of Educational Technology in Higher Education, 2023
Self-regulated learning (SRL) is crucial for helping students attain high academic performance and achieve their learning objectives in the online learning context. However, learners often face challenges in properly applying SRL in online learning environments. Recent developments in artificial intelligence (AI) applications have shown promise in…
Descriptors: College Students, Independent Study, Self Management, Electronic Learning
Olszewski, Arnold; Smith, Erika; Franklin, Amber D. – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Thousands of technological applications (apps) have emerged in the past decade, yet few studies have examined how apps are used by speech-language pathologists (SLPs), their effectiveness, and SLPs' feelings regarding their use. This study explored how SLPs use apps and their feelings regarding their use in schools, as well as…
Descriptors: Speech Language Pathology, Allied Health Personnel, Counselor Attitudes, Psychological Patterns
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
Rodriguez-Triana, Maria Jesus; Prieto, Luis P.; Holzer, Adrian; Gillet, Denis – IEEE Transactions on Learning Technologies, 2020
With the wide availability of mobile devices and the growing interest in social media, numerous applications have emerged to support student engagement in the classroom. There is conflicting evidence, however, on whether the engagement benefits of such applications outweigh their potential cost as a source of disaffection. To investigate these…
Descriptors: Social Media, Computer Oriented Programs, Handheld Devices, College Students
Sharma, Daneshwar; Alam, Mumtaz – SAGE Open, 2022
The COVID-19 pandemic has forced governments all around the world to impose lockdowns. As schools were closed and the students could attend schools physically, online education apps were used by the students to continue their education. The purpose of the study was to analyze the students' intentions to use online education apps (OEAs) in the…
Descriptors: COVID-19, Pandemics, Computer Oriented Programs, Online Courses
Zhukova, Marina A.; Kilani, Hechmi; Garcia, Jessica L.; Tan, Mei; Parell, Paul D.; Hein, Sascha; Grigorenko, Elena L. – Grantee Submission, 2020
Digital media is becoming increasingly prevalent in households and classroom settings lowering the age of first exposure to technology; however, little is known about how children experience digital media and how their experiences relate to learning and social engagement. In this case study, we followed a 28-month-old boy in a naturalistic setting…
Descriptors: Handheld Devices, Computer Oriented Programs, Educational Technology, Interpersonal Relationship
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