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Hootan Roshandel; Matthew Shammami; Shiyun Lin; Yin-Pok Wong; Paula L. Diaconescu – Journal of Chemical Education, 2023
The rise of virtual and online education in recent years has led to the development and popularization of many online tools, notably three-dimensional (3D) models and augmented reality (AR), for visualizing various structures in chemical sciences. The majority of the developed tools focus on either small molecules or biological systems, as…
Descriptors: Plastics, Science Instruction, Chemistry, Computer Software
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Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2025
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss. We will simulate two possible ways of modelling attrition: (a) explicitly turning active words OFF, and (b) raising…
Descriptors: Vocabulary Development, Workshops, Models, Networks
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Mei, Bing; May, Lawrence; Heap, Rena; Ellis, Damon; Tickner, Sue; Thornley, Jacqui; Denton, Jamie; Durham, Richard – SAGE Open, 2021
Given the increasing demand for online learning at the tertiary level, there currently exists a need to modify or develop instructional design (ID) models/approaches that can effectively facilitate the collaboration between learning designers and teachers, as well as to research the effectiveness of these models/approaches. Against this backdrop,…
Descriptors: Instructional Design, Online Courses, Models, Cooperation
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Mangiero, George A.; Qayyum, Arif; Cante, Charles J. – Journal of Education for Business, 2022
In this paper the authors present a unique approach to teaching introductory statistics at both the undergraduate and graduate levels. The approach uses a feature in Excel called "spinners" to dynamically adjust key variables, such as sample size, confidence levels, and probabilities, among others, to enable an expanded discussion of…
Descriptors: Statistics Education, Teaching Methods, Introductory Courses, Online Courses
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Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
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Bearman, Margaret; Lambert, Sarah; O'Donnell, Marcus – Higher Education Research and Development, 2021
In online education, learning design has a significant role in mediating student experience. Centralised approaches to learning design provide students with a coherent teaching approach across online units but little is known about their impact on the student. Understanding the influence of these overarching learning design features may be a…
Descriptors: Instructional Design, Online Courses, Instructional Materials, Student Experience
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Wang, Hui – Science Insights Education Frontiers, 2021
Improving teachers' online class application ability is a critical issue that needs to be addressed in the Sichuan Cloud Education promotion process. The four-stage training model of Sichuan Cloud Education constructs a reproducible and easy-to-promote online class teacher's application ability model. It provides practical solutions to poor…
Descriptors: Online Courses, Computer Software, Faculty Development, Technological Literacy
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Andreja Istenic – Discover Education, 2024
Blended learning sets solid foundations for the utilization of educational technology in authentic student learning experiences within traditional educational contexts as well as in distance education. The author introduces an integrated and distributed model of blended learning, utilizing educational technology for authentic student learning…
Descriptors: Blended Learning, Teaching Methods, Higher Education, Models
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Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
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Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis
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Adam Wong; Edmund Wut – International Association for Development of the Information Society, 2022
As lessons were forced to switch to online or hybrid mode during COVID-19, educators need to apply tools to foster engagement inside and outside the classroom. Screencasting software enables teachers to evaluate students' learning outcomes in compensation for the lack of face-to-face interactions. This study investigated the use of…
Descriptors: Information Science Education, Information Management, Management Systems, Educational Change
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Ion Razvan Radulescu; Antonio Dinis; Benny Malengier; Andrej Cupar; Mirela Blaga; Radek Polansky – International Association for Development of the Information Society, 2022
Industry 4.0 and digitization are nowadays important trends in the textile industry. The need for well-prepared professionals in software for the design and modelling of textile products requires the creation of up-to-date educational resources. Virtual learning supported by e-learning offers the instruments to continue education during pandemic…
Descriptors: Foreign Countries, Online Courses, Computer Software, Design
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Rabin, Eyal; Kalman, Yoram M.; Kalz, Marco – Open Learning, 2020
Will open education replace traditional higher education, or augment it? Digital innovation in the higher education sector is fuelling speculation about the transformation of higher education and the future role of universities. Much of the speculation makes questionable implicit assumptions about current and future business models in the higher…
Descriptors: Open Education, Educational Innovation, Higher Education, Models
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McGowan, Ian S. – International Association for Development of the Information Society, 2020
Upto now, the knowledge building influence of the fundamental communicative functions during an on-line collaborative learning (OLCL) session, i.e. argumentative, responsive, elicitative, informative and imperative have been mainly based on results from qualitative studies, results that could have been strengthened by quantitative approaches.…
Descriptors: Higher Education, Online Courses, Cooperative Learning, Computer Science Education
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Ghilay, Yaron – Journal of Educational Technology, 2018
The aim of the study was to examine the effectiveness of a model called Video-Based Learning (VBL). VBL is designed to improve the learning of higher education courses, especially those based on activities performed on a computer screen, or learning related to the understanding of visual objects, such as formulas, equations, diagrams, etc. The…
Descriptors: Interactive Video, Higher Education, Student Attitudes, Foreign Countries
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