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Adil Boughida; Mohamed Nadjib Kouahla; Yacine Lafifi – Education and Information Technologies, 2024
In e-learning environments, most adaptive systems do not consider the learner's emotional state when recommending activities for learning difficulties, blockages, or demotivation. In this paper, we propose a new approach of emotion-based adaptation in e-learning environments. The system will allow recommendation resources/activities to motivate…
Descriptors: Psychological Patterns, Electronic Learning, Educational Environment, Models
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Xiaona Xia – Interactive Learning Environments, 2023
Effective analysis and demonstration of these data features is of great significance for the optimization of interactive learning environment and learning behavior. Therefore, we take the big data set of learning behavior generated by an online interactive learning environment as the research object, define the features of learning behavior, and…
Descriptors: Learning Strategies, Interaction, Educational Environment, Learning Analytics
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Retna, Kala S. – International Journal of Learning and Change, 2023
This paper describes a qualitative case study of a fledgling IT organisation's espoused journey to becoming a learning organisation (LO). In particular, it examines how that change journey was informed and impacted by notions and elements embedded in Örtenblad's (2004) model of a LO. It derives insights from the organisation's experience to…
Descriptors: Organizational Change, Organizational Development, Information Technology, Consultants
Amy Danielle Hauver – ProQuest LLC, 2022
Learning is a complex, subjective process. An important perspective on learning is that anyone, regardless of their level of education, can participate in learning about science and contribute to their community. The public increasingly looks towards online resources to find answers to challenges, so it is necessary that people become empowered to…
Descriptors: Learning Processes, Models, Educational Principles, Lifelong Learning
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Thapliyal, Monika; Ahuja, Neelu Jyothi; Shankar, Achyut; Cheng, Xiaochun; Kumar, Manoj – Journal of Computing in Higher Education, 2022
This paper presents the ontological design and implementation of the differentiated learning environment in the domain model of an intelligent tutoring system for children with specific learning disabilities. It addresses the learners need for differentiated instruction in a preferential learning environment. The proposed model helps to identify…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Students with Disabilities, Learning Disabilities
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
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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
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Baginda Anggun Nan Cenka; Harry B. Santoso; Kasiyah Junus – Interactive Learning Environments, 2023
Presently, learning is more flexible, personal and has richer learning resources. In the digital era, students use digital tools in almost all aspects of learning, such as seeking information, note-taking, discussion and communication, which is in line with personal learning environments. Therefore, this study proposes a conceptual model of the…
Descriptors: Educational Environment, Lifelong Learning, Educational Resources, Electronic Learning
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Thip Khumyoo; Niroumon Suwannasri; Akkrawat Wongthitikun; Jira Jitsupa; Jittree Jampeetong – rEFLections, 2024
Listening, speaking, reading, and writing are important skills in English language learning. However, some students are not successful in learning English due to several factors. The model for improving the English learning skills of students is essential. However, except for the HyFlex learning model, no suitable model for learners has been found…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Preservice Teachers
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
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Gyeong-Geon Lee; Hun-Gi Hong – Educational Technology Research and Development, 2024
The COVID-19 pandemic has compelled innovations in science teaching and learning, such as blending online sessions with conventional face-to-face classes. We developed and validated the Blended Laboratory and E-learning iNstructional Design (BLEND) model for university-level remote laboratory sessions (RLS) to respond to the fluctuating…
Descriptors: COVID-19, Pandemics, Educational Innovation, Blended Learning
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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
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Tracy Bobko; Mikiko Corsette; Minjuan Wang; Erin Springer – IEEE Transactions on Learning Technologies, 2024
This article discusses the transformative impact of technology on knowledge acquisition and sharing, focusing on the emergence of the metaverse as a virtual community with vast potential for virtual learning. Learning in the metaverse is found to enhance engagement, motivation, and retention, while fostering 21st-century skills. It also offers…
Descriptors: Educational Innovation, Computer Simulation, Technology Uses in Education, Models
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Radovic, Slaviša; Hummel, Hans G. K.; Vermeulen, Marjan – Learning Environments Research, 2022
The relationship between experience (through practice) and knowledge (by theory) is becoming increasingly important in contemporary educational research and development. Where educational curricula aim to support students in linking practical experience to their academic knowledge development, experiential learning appears complex to design with…
Descriptors: Theory Practice Relationship, Educational Environment, Experiential Learning, Instructional Design
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Carlin, Andrew P.; Moutinho, Ricardo – Educational Philosophy and Theory, 2022
This article takes a conceptual approach to an issue of pedagogical relevance--the presence of "teaching and learning moments" within educational environments. We suggest sources of philosophical confusions that design patterns for the classification and creation of typologies of classroom events. We identify three foundational…
Descriptors: Teaching Methods, Learning Processes, Educational Philosophy, Educational Environment
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