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Zhongcheng Lei; Hong Zhou; Wenshan Hu; Guo-Ping Liu – IEEE Transactions on Learning Technologies, 2024
Online laboratories have been widely used in education, research, and industrial applications. For online laboratories, various architectures have been constructed to provide good user experience and powerful capabilities for online experimentation, in which the controller is a crucial part to connect the server with a controlled test rig.…
Descriptors: Online Courses, Laboratories, Distance Education, Computers
Villalonga-Gomez, Cristina; Ortega-Fernandez, Eglee; Borau-Boira, Elena – IEEE Transactions on Learning Technologies, 2023
The application of the metaverse poses important challenges for the field of education. The aim of this article is to analyze the evolution of the development of the metaverse experiences in Higher Education and thus identify the key aspects of its application as a virtual environment for teaching and learning. To this end, a systematic literature…
Descriptors: Higher Education, Electronic Learning, Educational Environment, Second Language Instruction
Ye, Xiaozhen; Backlund, Per; Ding, Jianguo; Ning, Huansheng – IEEE Transactions on Learning Technologies, 2020
The extensive use of simulation-based serious games (SSGs) has made a revolution in educational techniques. As a potentially significant feature for SSG design and evaluation, the term fidelity (the similarity between an SSG and its real reference) emerges and attracts increasing attention. The study of fidelity not only benefits the design,…
Descriptors: Fidelity, Simulation, Educational Games, Literature Reviews
Fuchimoto, Kazuma; Ishii, Takatoshi; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2022
Educational assessments often require uniform test forms, for which each test form has equivalent measurement accuracy but with a different set of items. For uniform test assembly, an important issue is the increase of the number of assembled uniform tests. Although many automatic uniform test assembly methods exist, the maximum clique algorithm…
Descriptors: Simulation, Efficiency, Test Items, Educational Assessment
Molontay, Roland; Horvath, Noemi; Bergmann, Julia; Szekrenyes, Dora; Szabo, Mihaly – IEEE Transactions on Learning Technologies, 2020
Curriculum prerequisite networks have a central role in shaping the course of university programs. The analysis of prerequisite networks has attracted a lot of research interest recently since designing an appropriate network is of great importance both academically and economically. It determines the learning goals of the program and also has a…
Descriptors: College Curriculum, Prerequisites, Networks, Time to Degree
Crowston, Kevin; Ă˜sterlund, Carsten; Lee, Tae Kyoung; Jackson, Corey; Harandi, Mahboobeh; Allen, Sarah; Bahaadini, Sara; Coughlin, Scott; Katsaggelos, Aggelos K.; Larson, Shane L.; Rohani, Neda; Smith, Joshua R.; Trouille, Laura; Zevin, Michael – IEEE Transactions on Learning Technologies, 2020
We present the design of a citizen science system that uses machine learning to guide the presentation of image classification tasks to newcomers to help them more quickly learn how to do the task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning for training with tasks with uncertain outcomes is…
Descriptors: Citizen Participation, Scientific Research, Man Machine Systems, Training
Alsalemi, Abdullah; Alhomsi, Yahya; Bensaali, Faycal; Alinier, Guillaume; Hssain, Ali – IEEE Transactions on Learning Technologies, 2021
Simulation plays an important part in enhancing the outcomes of clinical training worldwide. In particular, extracorporeal membrane oxygenation (ECMO) is a life-saving procedure that utilizes a cardiopulmonary bypass circuit to offer short or mid-term respiratory and circulatory assistance to seriously ill patients. After the current Coronavirus…
Descriptors: Simulation, Diseases, Patients, Medical Education
Fernandez-Nieto, Gloria Milena; Echeverria, Vanessa; Shum, Simon Buckingham; Mangaroska, Katerina; Kitto, Kirsty; Palominos, Evelyn; Axisa, Carmen; Martinez-Maldonado, Roberto – IEEE Transactions on Learning Technologies, 2021
There is growing interest in creating learning analytics feedback interfaces that support students directly. While dashboards and other visualizations are proliferating, the evidence is that many fail to provide meaningful insights that help students reflect productively. The contribution of this article is qualitative and quantitative evidence…
Descriptors: Student Attitudes, Story Telling, Accountability, Formative Evaluation
Uto, Masaki; Nguyen, Duc-Thien; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2020
With the wide spread large-scale e-learning environments such as MOOCs, peer assessment has been popularly used to measure the learner ability. When the number of learners increases, peer assessment is often conducted by dividing learners into multiple groups to reduce the learner's assessment workload. However, in such cases, the peer assessment…
Descriptors: Item Response Theory, Electronic Learning, Peer Evaluation, Accuracy
Lin, Yu-Shih; Chang, Yi-Chun; Chu, Chih-Ping – IEEE Transactions on Learning Technologies, 2016
The grouping problem is critical in collaborative learning (CL) because of the complexity and difficulty in adequate grouping, based on various grouping criteria and numerous learners. Previous studies have paid attention to certain research questions, and the consideration for a number of learner characteristics has arisen. Such a multi-objective…
Descriptors: Cooperative Learning, Experimental Groups, Control Groups, Pretests Posttests
Uto, Masaki; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2016
As an assessment method based on a constructivist approach, peer assessment has become popular in recent years. However, in peer assessment, a problem remains that reliability depends on the rater characteristics. For this reason, some item response models that incorporate rater parameters have been proposed. Those models are expected to improve…
Descriptors: Item Response Theory, Peer Evaluation, Bayesian Statistics, Simulation
Huang, Zhifeng; Lin, Chingszu; Kanai-Pak, Masako; Maeda, Jukai; Kitajima, Yasuko; Nakamura, Mitsuhiro; Kuwahara, Noriaki; Ogata, Taiki; Ota, Jun – IEEE Transactions on Learning Technologies, 2017
In the past few decades, simulation training has been used to help nurses improve their patient-transfer skills. However, the effectiveness of such training remains limited because it lacks effective ways of simulating patients' actions realistically. It is difficult for nurses to use the skills learned from simulation training to transfer an…
Descriptors: Robotics, Nursing Education, Training Methods, Skill Development
Ishii, Takatoshi; Songmuang, Pokpong; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2014
Educational assessments occasionally require uniform test forms for which each test form comprises a different set of items, but the forms meet equivalent test specifications (i.e., qualities indicated by test information functions based on item response theory). We propose two maximum clique algorithms (MCA) for uniform test form assembly. The…
Descriptors: Simulation, Efficiency, Test Items, Educational Assessment
Schneider, B.; Wallace, J.; Blikstein, P.; Pea, R. – IEEE Transactions on Learning Technologies, 2013
In this paper, we describe the development and evaluation of a microworld-based learning environment for neuroscience. Our system, BrainExplorer, allows students to discover the way neural pathways work by interacting with a tangible user interface. By severing and reconfiguring connections, users can observe how the visual field is impaired and,…
Descriptors: Neurosciences, Brain, Computer Uses in Education, Educational Technology