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Christian Moro; Kathy Ann Mills; Charlotte Phelps – Interactive Learning Environments, 2024
Tertiary institutions are migrating away from didactic and teacher-centred approaches, and instead, pivoting to lesson designs that encourage hands-on learning and student engagement. However, this practice is often "try and see", with few frameworks providing evidence-based approaches for practical application that demonstrates how…
Descriptors: Active Learning, Learning Activities, Higher Education, Cooperative Learning
Fiedler, Sebastian H. D.; Väljataga, Terje – Interactive Learning Environments, 2020
This paper argues for conceptualizing the notion of personal learning environments in higher education from an explicit adult education perspective that emphasizes the realization, re-instrumentation, and integration of learning activity in the wider context of adult life. It discusses and re-interprets an existing proposal for modeling "the…
Descriptors: Individualized Instruction, Adult Students, Adult Education, Higher Education
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
Radosavljevic, Slavica; Radosavljevic, Vitomir; Grgurovic, Biljana – Interactive Learning Environments, 2020
The goal of higher vocational education is professional training of students. Teaching contents related to practical training are the most important for preparing students for work in real-life conditions. The mobile learning model presented in this paper analyzes the possibility of implementing augmented reality in the process of educating…
Descriptors: Telecommunications, Handheld Devices, Computer Simulation, Models
Álvarez, Ainhoa; Martín, Maite; Fernández-Castro, Isabel; Urretavizcaya, Maite – Interactive Learning Environments, 2016
Currently, most of the educational approaches applied to higher education combine face-to-face (F2F) and computer-mediated instruction in a Blended-Learning (B-Learning) approach. One of the main challenges of these approaches is fully integrating the traditional brick-and-mortar classes with online learning environments in an efficient and…
Descriptors: Teaching Methods, Higher Education, Blended Learning, Conventional Instruction
Cornelius, Sarah; Gordon, Carole; Ackland, Aileen – Interactive Learning Environments, 2011
This article argues for a flexible model of learning for adults which allows them to make choices and contextualise their learning in a manner appropriate to their own professional practice whilst also developing as a member of a learning community. It presents a design based around online "learning activities" which draws on ideas of…
Descriptors: Constructivism (Learning), Adult Education, Adult Learning, Adult Students
Kim, Paul; Hong, Ji-Seong; Bonk, Curtis; Lim, Gloria – Interactive Learning Environments, 2011
A Web 2.0 environment that is coupled with emerging multimodal interaction tools can have considerable influence on team learning outcomes. Today, technologies supporting social networking, collective intelligence, emotional interaction, and virtual communication are introducing new forms of collaboration that are profoundly impacting education.…
Descriptors: Evidence, Undergraduate Students, Student Projects, Computer Mediated Communication

Mitchell, Christine M.; Govindaraj, T. – Interactive Learning Environments, 1990
Discusses the use of intelligent tutoring systems as opposed to traditional on-the-job training for training operators of complex dynamic systems and describes the computer architecture for a system for operators of a NASA (National Aeronautics and Space Administration) satellite control system. An experimental evaluation with college students is…
Descriptors: Analysis of Variance, Artificial Intelligence, Computer Assisted Instruction, Computer Simulation

Johnson, Scott D.; And Others – Interactive Learning Environments, 1993
This study examines the effect of the "Technical Troubleshooting Tutor," a computer-coached training program, on aircraft electrical system troubleshooting. Performance ability differences between control groups are noted, and troubleshooting models and flow diagram examples are included. The study demonstrates the possibilities for…
Descriptors: Aviation Education, Cognitive Processes, Comparative Analysis, Computer Assisted Instruction