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Pedro Isaias, Editor; Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…
Descriptors: Artificial Intelligence, Cognitive Processes, Discovery Learning, Teaching Methods
Pasawut Cheerapakorn; Kanitta Hinon; Panita Wannapiroon – International Education Studies, 2024
The Hybrid Project-Based Learning Model on Metaverse to Enhance Collaboration. The concept is based on the integration of hybrid learning, project-based learning, and metaverse. This research has the objective: (1) To study and synthesize the conceptual framework of the hybrid project-based learning model on metaverse to enhance collaboration. (2)…
Descriptors: Blended Learning, Active Learning, Student Projects, Cooperation
Thiyaporn Kantathanawat; Anyamanee Ussarn; Mai Charoentham; Paitoon Pimdee – Educational Process: International Journal, 2025
Background/purpose: The increasing integration of digital technology in education underscores the need for instructional models that support personalized, skill-based, and problem-solving focused learning. While traditional pedagogies often fail to address these needs comprehensively, this study proposes that the Mastery Adaptive Problem-Solving…
Descriptors: Educational Technology, Technology Uses in Education, Problem Solving, Mastery Learning
Yasser Kareem Al-Rikabi; Gholam Ali Montazer – Education and Information Technologies, 2024
The assessment process of readiness for adoption an educational system considers the lifeblood of the e-learning system in a particular educational organization and the ability to assess the organization's readiness among the main factors which contributes to the success and progress. The readiness models are instruments that assist educational…
Descriptors: Electronic Learning, Learning Readiness, Evaluation, Higher Education
Bander Ayed Allogmany – ProQuest LLC, 2023
Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…
Descriptors: Individualized Instruction, Learning Management Systems, Artificial Intelligence, Technology Uses in Education
Ujjwal Biswas; Samit Bhattacharya – Education and Information Technologies, 2024
The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…
Descriptors: Artificial Intelligence, Blended Learning, Flipped Classroom, Technology Uses in Education
Natalia Riapina – Business and Professional Communication Quarterly, 2024
This article presents a conceptual framework for integrating AI-enabled business communication in higher education. Drawing on established theories from business communication and educational technology, the framework provides comprehensive guidance for designing engaging learning experiences. It emphasizes the significance of social presence,…
Descriptors: Artificial Intelligence, Business Communication, Higher Education, Technology Uses in Education
Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
C. M. Dubay; Melanie B. Richards – Marketing Education Review, 2024
Artificial intelligence (AI) has revolutionized various aspects of teaching and learning in higher education, with the potential to significantly enhance learning experiences, streamline administrative tasks, and foster personalized education. As the use of AI by students and instructors expands, it is crucial to carefully consider both its…
Descriptors: Artificial Intelligence, Student Projects, Active Learning, Technology Uses in Education
Amjad Almusaed; Asaad Almssad; Marisol Rico Cortez – International Society for Technology, Education, and Science, 2023
This article overviews a new teaching method from COVID-19. It uses multimedia resources and more traditional classroom activities together. The course focuses on the benefits of using online parts of hybrid learning in addition to in-person instruction. The benefits of such learning include more opportunities for contact with classmates,…
Descriptors: Learner Engagement, Blended Learning, COVID-19, Pandemics
Benjakul, Sueksa – Journal of Educators Online, 2023
Teachers use instructional design to solve problems and creatively develop and implement various concepts, theories, and techniques to design and manage the elements of teaching and learning and assess learning outcomes that are generally accepted according to Bloom's taxonomy, in which the cognitive domains of lower-order thinking connect to…
Descriptors: Instructional Design, Constructivism (Learning), Thinking Skills, Electronic Learning
Olga Ovtšarenko – Discover Education, 2024
Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…
Descriptors: Artificial Intelligence, Algorithms, Technology Uses in Education, Opportunities
Ashraf Alam; Atasi Mohanty – Cogent Education, 2024
The researchers developed an Integrated Constructive Robotics in Education (ICRE) model that represents a pioneering framework designed to revolutionize educational landscapes by integrating robotics into pedagogical settings. This research introduces the ICRE model, elucidating its multifaceted dimensions and envisioning its profound impact on…
Descriptors: Technology Integration, Technology Uses in Education, Robotics, Models
Jennifer L. Kassimer – ProQuest LLC, 2022
Using a learning management system (LMS) to deliver robust content for K-12 students became an essential part of the discussion of technology's place in K-12 education when teachers were forced to teach online at the start of the COVID-19 pandemic. Teachers used an LMS to deliver content in various ways and as part of different instructional…
Descriptors: Coaching (Performance), Models, Active Learning, Educational Environment
Charlotte N. Gunawardena; Yan Chen; Nick Flor; Damien Sánchez – Online Learning, 2023
Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…
Descriptors: Models, Learning Processes, Knowledge Level, Online Courses