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Heidari, Elham; Salimi, Ghasem; Mehrvarz, Mahboobe – Interactive Learning Environments, 2023
Studies have revealed that individuals' identities can be shaped not only offline but also online. However, the formation of online identity of students in higher education environments is complex. Empirical evidence has suggested that academics are interested in using social media to enhance their professional identity and reputation. The current…
Descriptors: Social Networks, Social Capital, Professional Identity, Graduate Students
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Minhui Zhong; Jinxia Jiang; Han Zhang; Xia Duan – Interactive Learning Environments, 2023
Newly registered nurses' emergency response capability falls short of their employers' expectations. Therefore, they need to develop this ability to cope with various changes in the clinic. Unfortunately, traditional learning has not been good enough in cultivating nursing skills and fostering self-directed learning which plays a key role in the…
Descriptors: Flipped Classroom, Nurses, Nursing Education, Hospitals
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Radosavljevic, Vitomir; Radosavljevic, Slavica; Jelic, Gordana – Interactive Learning Environments, 2022
This paper introduces the smart classroom learning model based on the concept of ambient intelligence. By analyzing a smart classroom, the ambient intelligence system detects a student and determines their level of fatigue based on the data about their previous daily academic activities. This information is then used to assign the student the…
Descriptors: Virtual Classrooms, Educational Technology, Technology Uses in Education, Artificial Intelligence
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Lertnattee, Verayuth; Wangwattana, Bunyapa – Interactive Learning Environments, 2021
In the academic year of 2019, the designed personalized learning and assessment was applied to the fourth-year pharmacy students who registered for the Pharmacognosy Laboratory in the Faculty of Pharmacy, Silpakorn University. We allowed all students to do the experiment as they preferred. We created a personalized assessment that allowed the…
Descriptors: Individualized Instruction, Pharmaceutical Education, Laboratory Equipment, Identification
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Xing, Wanli; Pei, Bo; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Engineering design plays an important role in education. However, due to its open nature and complexity, providing timely support to students has been challenging using the traditional assessment methods. This study takes an initial step to employ learning analytics to build performance prediction models to help struggling students. It allows…
Descriptors: Learning Analytics, Engineering Education, Prediction, Design
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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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Pinkard, Nichole; Martin, C. K.; Erete, S. – Interactive Learning Environments, 2020
Decisions about participation in computer science and engineering opportunities are often made prior to high school, and these decisions are frequently mediated by prior experience, interest, and sense of fit with community. In this article, we investigate how the Digital Youth Divas, an out-of-school program for middle school girls from…
Descriptors: Middle School Students, Females, Computation, Thinking Skills
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Huang, Anna Y. Q.; Lu, Owen H. T.; Huang, Jeff C. H.; Yin, C. J.; Yang, Stephen J. H. – Interactive Learning Environments, 2020
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…
Descriptors: Academic Achievement, Data Use, Learning Analytics, Classification
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Ruiz, Samara; Urretavizcaya, Maite; Rodríguez, Clemente; Fernández-Castro, Isabel – Interactive Learning Environments, 2020
A positive emotional state of students has proved to be essential for favouring student learning, so this paper explores the possibility of obtaining student feedback about the emotions they feel in class in order to discover emotion patterns that anticipate learning failures. From previous studies about emotions relating to learning processes, we…
Descriptors: College Students, Computer Science Education, Emotional Response, Student Reaction
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Li, Cheng-Hsuan; Wu, Huey-Min; Kuo, Bor-Chen; Yang, Yu-Mao; Lin, Chin-Kai; Wang, Wei-Hsiang – Interactive Learning Environments, 2018
The purpose of this study is to explore the validity of the assessment tool. The purposive sampling method is applied in this research on a total of 551 preschool children between 4 and 6 years old. Their ages range from 46 to 81 months, with an average age of 63.9 months (SD = 7.58). The assessment tool used in this research is the…
Descriptors: Test Validity, Chinese, Psychomotor Skills, Preschool Children
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Interactive Learning Environments, 2017
The teaching of communication skills is a labour-intensive task because of the detailed feedback that should be given to learners during their prolonged practice. This study investigates to what extent our FILTWAM facial and vocal emotion recognition software can be used for improving a serious game (the Communication Advisor) that delivers a…
Descriptors: Communication Skills, Skill Development, Training Methods, Computer Software
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Yu, Fu-Yun; Sung, Shannon – Interactive Learning Environments, 2016
This study examined the effects of identity revelation and concealment on the number of times students' work was assessed in an online peer assessment context. It also examined the underlying reasons guiding the assessor's targeting behavior. Two fifth-grade classes participated. The one-group pretest-posttest experimental research design coupled…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Student Evaluation
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Galley, Rebecca; Conole, Gráinne; Alevizou, Panagiota – Interactive Learning Environments, 2014
Cloudworks (Cloudworks.ac.uk) is a social networking site designed for sharing, finding and discussing learning and teaching ideas and experiences. Design and development of the site has been based on an iterative analysis, development and implementation approach, underpinned by ongoing research and evaluation. To this end, we have been seeking to…
Descriptors: Social Networks, Web 2.0 Technologies, Computer Mediated Communication, Communities of Practice
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Knutzen, K. Brant; Kennedy, David M. – Interactive Learning Environments, 2012
This article describes the findings of a 3-month study on how social encounters mediated by an online Virtual Immersive Environment (VIE) impacted on the relational self-concept of adolescents. The study gathered data from two groups of students as they took an Introduction to Design and Programming class. Students in group 1 undertook course…
Descriptors: Foreign Countries, Adolescents, Secondary School Students, Experiments
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Schellens, T.; Van Keer, H.; De Wever, B.; Valcke, M. – Interactive Learning Environments, 2009
The present study focuses on the use of thinking types as a possible way to structure university students' discourse in asynchronous discussion groups and consequently promote their learning. More specifically, the aim of the study is to determine how requiring students to label their contributions by means of De Bono's (1991) thinking hats…
Descriptors: Discussion Groups, Identification, Critical Thinking, Thinking Skills