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Showing 1 to 15 of 20 results Save | Export
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Elísabet Mora; Natalia Vila; Inés Küster – Interactive Learning Environments, 2024
Market research topics and methodologies are gaining presence in the most syllabus of university degrees. Today's students will probably become business managers of companies commercializing different products and services, such as hotels, restaurants, or cultural products and services. Because of this, they must learn how to apply quantitative…
Descriptors: Social Media, Content Analysis, Teaching Methods, Marketing
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Zhang, Hai; Yu, Luyao; Cui, Yulu; Ji, Mengxue; Wang, Yining – Interactive Learning Environments, 2022
The study of teacher development and teaching interaction in physical classrooms has presented research problems, but with the development of classroom observation and video analysis, quantitative and visual analysis of the teaching process has been realized. In order to better understand the teaching models of teachers, this study is devoted to…
Descriptors: Classroom Observation Techniques, Teacher Evaluation, Teaching Methods, Teaching Models
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Liu, Chenchen; Hwang, Gwo-Jen; Tu, Yun-fang; Yin, Yiqing; Wang, Youmei – Interactive Learning Environments, 2023
This study reviewed the mobile technology-supported music education (MTSME) studies published in several academic databases, namely Scopus, WOS, ERIC, and RILM, from 2008-2019. Based on the technology-based learning model, the application domains, research issues, sample groups, research methods, adopted devices, and learning strategies were…
Descriptors: Computer Assisted Instruction, Teaching Methods, Telecommunications, Handheld Devices
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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
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Mohamed M. Mostafa – Interactive Learning Environments, 2023
Interactive Learning Environments (ILE) is a leading international journal in the design and use of interactive learning environments. In this study we conduct a comprehensive bibliometric analysis spanning three decades to objectively examine the journal's impactful authors, citation patterns, collaboration networks and emerging trends.…
Descriptors: Bibliometrics, Network Analysis, Developing Nations, Developed Nations
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Duan, JinJu; Lu, Lin; Xie, Kui – Interactive Learning Environments, 2023
Knowledge construction can be facilitated through different types of social interactive environment. A knowledge network environment (KN) develops a knowledge-centered network visualizing the structure of collective knowledge. A social network environment (SN) creates a people-centered network visualizing the social relationships among people.…
Descriptors: Educational Environment, Cooperative Learning, Social Networks, Interpersonal Relationship
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Gang Yang; Xiao-Qian Zheng; Qian Li; Miao Han; Yun-Fang Tu – Interactive Learning Environments, 2024
In Chinese, writing is a basic competency that pupils should possess. But it is still challenging for teachers to improve pupils' writing abilities. Therefore, this study proposes an intelligence-based cognitive diagnostic feedback strategy to improve pupils' writing ability and writing learning quality by analyzing their writing performance,…
Descriptors: Foreign Countries, Elementary School Students, Vocabulary Skills, Comparative Analysis
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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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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2021
Despite their drawback, multiple-choice questions are an enduring feature in instruction because they can be answered more rapidly than open response questions and they are easily scored. However, it can be difficult to generate good incorrect choices (called "distractors"). We designed an algorithm to generate distractors from a…
Descriptors: Semantics, Networks, Multiple Choice Tests, Teaching Methods
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Czerkawski, Betul C. – Interactive Learning Environments, 2016
The considerable increase in web-based knowledge networks in the past two decades is strongly influencing learning environments. Learning entails information retrieval, use, communication, and production, and is strongly enriched by socially mediated discussions, debates, and collaborative activities. It is becoming critical for educators to…
Descriptors: Computer Networks, Instructional Design, Educational Needs, Information Retrieval
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Yildiz Durak, Hatice – Interactive Learning Environments, 2021
The present study aims to determine the relation between Technological Pedagogical Content Knowledge (TPACK) levels of teachers and their self-efficacy in integrating technology, their technology literacy and their usage objective of social networks. Structural equation modeling was utilized to create a model explaining and predicting the…
Descriptors: Correlation, Social Networks, Pedagogical Content Knowledge, Technological Literacy
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Mikroyannidis, Alexander; Gómez-Goiri, Aitor; Smith, Andrew; Domingue, John – Interactive Learning Environments, 2020
The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…
Descriptors: Computer Science Education, Computer Networks, Data Analysis, Engineering
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Casquero, Oskar; Ovelar, Ramón; Romo, Jesús; Benito, Manuel; Alberdi, Mikel – Interactive Learning Environments, 2016
The main objective of this paper is to analyse the effect of the affordances of a virtual learning environment and a personal learning environment (PLE) in the configuration of the students' personal networks in a higher education context. The results are discussed in light of the adaptation of the students to the learning network made up by two…
Descriptors: Case Studies, Higher Education, Educational Technology, Technology Uses in Education
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Uysal, Murat Pasa – Interactive Learning Environments, 2016
Various methods and tools have been proposed to overcome the learning obstacles for Object-Oriented Programming (OOP). However, it remains difficult especially for novice learners. The problem may be not only adopting an instructional method, but also an Integrated Development Environment (IDE). Learners employ IDEs as a means to solve programming…
Descriptors: Evaluation, Educational Environment, Cognitive Processes, Difficulty Level
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Halimi, Khaled; Seridi-Bouchelaghem, Hassina; Faron-Zucker, Catherine – Interactive Learning Environments, 2014
Compared with learning in classrooms, classical e-learning systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions and preferences. Remote educational systems should be developed to ensure as much as necessary the…
Descriptors: Electronic Learning, Learning Processes, Semantics, Student Interests
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