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Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Mosquera, Jose Miguel Llanos; Suarez, Carlos Giovanny Hidalgo; Guerrero, Victor Andres Bucheli – Education and Information Technologies, 2023
This paper proposes to evaluate learning efficiency by implementing the flipped classroom and automatic source code evaluation based on the Kirkpatrick evaluation model in students of CS1 programming course. The experimentation was conducted with 82 students from two CS1 courses; an experimental group (EG = 56) and a control group (CG = 26). Each…
Descriptors: Flipped Classroom, Coding, Programming, Evaluation Methods
Ouissem, Benmesbah; Lamia, Mahnane; Hafidi, Mohamed – International Journal of Web-Based Learning and Teaching Technologies, 2021
Context modeling is the keystone to enable the intelligent system to adapt its functionalities properly to different situations. As such, a representation mechanism that allows an adequate manipulation of this kind of information is required, and diverse approaches have been introduced; however, what takes more value and is being positioned as a…
Descriptors: Electronic Learning, Educational Technology, Models, Educational Methods
Aïcha Bakki; Lahcen Oubahssi; Youness Laghouaouta; Sébastien George – Interactive Learning Environments, 2024
Business Process Model and Notation (BPMN) is a standard formalism for business process modeling that is very popular in professional practices due to its expressiveness, the well-defined meta-model, and its easiness of use by non-technical users. For instance, BPMN2.0 is used for business processes in commercial areas such as banks, shops,…
Descriptors: MOOCs, Learning Management Systems, Business Education, Models
Tsubasa Minematsu; Atsushi Shimada – International Association for Development of the Information Society, 2024
In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…
Descriptors: Educational Technology, Technology Uses in Education, Error Patterns, Sentences
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
Agirman, Nesibe; Ercoskun, M. Hanifi – International Journal of Curriculum and Instructional Studies, 2022
Flipped Classroom (FC) Model is an approach based on learning the simple and theoretical parts of a subject in extracurricular time through educational technologies and performing higher-level studies during class time. With the development and spread of educational technologies, the interest in the FC Model has increased. In the present study, we…
Descriptors: Educational History, Flipped Classroom, Teaching Methods, Models
Ling Luo; Hong Ji; Shu-Ning Chen; Xin Chen – Education & Training, 2024
Purpose: The purpose of this study is to determine the competency characteristics required for the employment of master's degree students in educational technology. Design/methodology/approach: A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were…
Descriptors: Educational Technology, Competence, Employment Potential, Foreign Countries
Sreejun, Surang; Chatwattana, Pinanta – Journal of Education and Learning, 2023
The objectives of this research are (1) to study and synthesise the conceptual framework of the imagineering learning model with inquiry-based learning via augmented reality to enhance creative products and digital empathy, (2) to develop the imagineering learning model with inquiry-based learning via augmented reality to enhance creative products…
Descriptors: Inquiry, Computer Simulation, Creativity, Empathy
Asim, Sumreen; Ellis, Joshua; Slykhuis, David; Trumble, Jason – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2022
The science teacher education community plays a prominent role in teacher preparation programs. Particularly, science methods courses emphasize modeling instructional strategies to promote inquiry-based practices. Integrating appropriate educational technology to enhance and support classroom practices should be embedded in these courses. The…
Descriptors: Science Teachers, Technology Integration, Models, Teaching Methods
Moro, Christian; Mills, Kathy A.; Phelps, Charlotte; Birt, James – International Journal of Educational Technology in Higher Education, 2023
Educational institutions are increasingly investing into digital delivery, acquiring new devices, and employing novel software and services. The rising costs associated with maintenance, in combination with increasing redundancy of older technologies, presents multiple challenges. While lesson content itself may not have changed, the educational…
Descriptors: Sustainability, Educational Technology, Blended Learning, Intervention
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
Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
Tola Bekene Bedada; M. F. Machaba – Education Inquiry, 2024
This article presents an instructional technology-based cycle model intended to support and facilitate the teaching and learning of mathematics, particularly calculus. The study used quantitative methods with quasi-experimental research that uses non-randomised assignments of the study group that are categorised into experimental and control…
Descriptors: Models, Mathematics Instruction, Computer Software, Educational Technology
Malak A. Alghamdi; Reem Bu Saeed; Waad Fudhah; Danah Alqarni; Shahad Albarzan; Sheifa Alamoudi; Muhammad Anwar Khan – Cogent Education, 2024
Anatomy education employs diverse teaching techniques worldwide, causing debates over the effectiveness of traditional versus newer methods. This study sought to investigate medical students' preferences for teaching methods in their institutions and provide recommendations for an optimal anatomy education model. In this cross-sectional study, all…
Descriptors: Student Attitudes, Medical Students, Teaching Methods, Anatomy