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Andrew Kwok-Fai Lui; Sin-Chun Ng; Stella Wing-Nga Cheung – Interactive Learning Environments, 2024
The technology of automated short answer grading (ASAG) can efficiently process answers according to human-prepared grading examples. Computer-assisted acquisition of grading examples uses a computer algorithm to sample real student responses for potentially good examples. The process is critical for optimizing the grading accuracy of machine…
Descriptors: Grading, Computer Uses in Education, Educational Technology, Artificial Intelligence
Grajewski, Damian; Hamrol, Adam – Interactive Learning Environments, 2023
The article presents the concept and first results of tests of a Virtual Reality system dedicated for interactive education of manual assembly procedure. The presented solution is based on the use of a Delta robot. The main task of the robot is to simulate the shape of virtual objects as an alternative to haptic devices. The manipulator with…
Descriptors: Computer Simulation, Robotics, Educational Technology, Job Training
Perez-Ramirez, Miguel; Arroyo-Figueroa, G.; Ayala, A. – Interactive Learning Environments, 2021
The application of virtual reality (VR) technologies is beneficial to the training related to industrial processes. Mainly because the technologies allow training complex threatening tasks within a safe environment. The interactive three-dimensional (3D) representation of a real world seems to be a more effective learning medium than other…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Training
Chimalakonda, Sridhar; Nori, Kesav V. – Interactive Learning Environments, 2023
Despite rapid advances, modeling a variety of instructional designs to support variations in teaching and learning during the design of educational technologies is still an open challenge. In this paper, we propose a patterns based approach for the design of educational technologies to address this challenge. This is in contrast with existing…
Descriptors: Educational Technology, Instructional Design, Teaching Methods, Adult Literacy
Mark Johnson; Rafiq Saleh – Interactive Learning Environments, 2024
Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…
Descriptors: Artificial Intelligence, Evaluation Methods, Technology Uses in Education, Man Machine Systems
Anita Pásztor-Kovács; Attila Pásztor; Gyöngyvér Molnár – Interactive Learning Environments, 2023
In this paper, we present an agenda for the research directions we recommend in addressing the issues of realizing and evaluating communication in CPS instruments. We outline our ideas on potential ways to improve: (1) generalizability in Human-Human assessment tools and ecological validity in Human-Agent ones; (2) flexible and convenient use of…
Descriptors: Cooperation, Problem Solving, Evaluation Methods, Teamwork
Arguel, Amaël; Lockyer, Lori; Kennedy, Gregor; Lodge, Jason M.; Pachman, Mariya – Interactive Learning Environments, 2019
Emotions play a significant part in students' learning experiences within complex educational environments. However, the impact of emotional experiences on effective learning is not straightforward. For example, being confused during learning may be perceived as an adverse event. There is, however, considerable research evidence suggesting that…
Descriptors: Emotional Response, Self Management, Educational Technology, Technology Uses in Education
Xue, Sijia – Interactive Learning Environments, 2022
Due to a range of different affordances, mobile technologies can be used pedagogically for language teaching and learning. However, the connection of technology to education needs to be grounded in theoretical frameworks and methodological principles. Task-based language teaching (TBLT), as an optimal approach to language teaching and learning,…
Descriptors: Teaching Methods, Technology Integration, Telecommunications, Handheld Devices
Narayanaswamy, C. R.; Narayanaswamy, Vignesh – Interactive Learning Environments, 2022
In this article we apply R, a free software, and recent stock-price data to illustrate the portfolio diversification concept, a corner stone of modern finance theory. Currently, recent stock-price data are available on the internet at no cost to users. By using current market data to construct realistic and authentic examples, student engagement…
Descriptors: Active Learning, Economics Education, Money Management, Computer Software
Sweidan, Saadeh Z.; Salameh, Haneen; Zakarneh, Razan; Darabkh, Khalid A. – Interactive Learning Environments, 2022
Most autism centers in Arabic countries rely on manual techniques in teaching children the basics of language, math, and social skills. Actually, these techniques may be limited in measuring the child's progress in a systematic way considering different fields. To overcome these limitations, we developed Autistic Innovative Assistant (AIA) which…
Descriptors: Autism Spectrum Disorders, Technology Uses in Education, Handheld Devices, Arabic
Dishon, Gideon; Kafai, Yasmin B. – Interactive Learning Environments, 2022
Rising political polarization and the spread of disinformation have highlighted the need to re-assess and broaden existing approaches to civic education. Though video games have been presented as tools that could capitalize on youth's interest-driven engagement with technology to support situated modes of civic learning, their actual contributions…
Descriptors: Video Games, Citizenship Education, Civics, Role
Martínez-Tenor, Ángel; Cruz-Martín, Ana; Fernández-Madrigal, Juan-Antonio – Interactive Learning Environments, 2019
Preparing students for dealing with a world more and more densely populated with physical machines that possess learning capabilities, e.g. intelligent robots, is of the utmost importance in engineering. In this paper, we describe and analyse a design of interactive sessions devoted to the application of some machine learning (ML) methods within a…
Descriptors: Teaching Methods, Robotics, Masters Programs, Reinforcement
Thomas, Glyn; Thorpe, Stephen – Interactive Learning Environments, 2019
There still appears to be a gap between what online learning promises and what it can deliver in terms of student learning. Developments in online pedagogies and professional learning appear to lag behind the developments in technology and the promised benefits of technological transformation may not be realised. In this paper, we bring together…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Interaction
Li-Chen Cheng; Wei Li; Judy C. R. Tseng – Interactive Learning Environments, 2023
Programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated Programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are…
Descriptors: High School Freshmen, High School Seniors, Programming Languages, Foreign Countries
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)