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"Learning theory"
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Virtual Reality in Education: A Review of Learning Theories, Approaches and Methodologies for the Last Decade
by
Krouska, Akrivi
,
Troussas, Christos
,
Sgouropoulou, Cleo
in
Cognition & reasoning
,
Constructivism
,
Discovery learning
2023
In the field of education, virtual reality (VR) offers learners an immersive and interactive learning experience, allowing them to comprehend challenging concepts and ideas more efficiently and effectively. VR technology has enabled educators to develop a wide range of learning experiences, from virtual field trips to complex simulations, that may be utilized to engage students and help them learn. Learning theories and approaches are essential for understanding how students learn and how to design effective learning experiences. This study examines the most recent published findings in educational theories and approaches connected to the use of VR systems for educational and tutoring purposes. Seventeen research studies that meet the search criteria have been found in the database, and each of them focuses on at least one learning theory or learning approach related to educational systems using VR. These studies yielded five educational approaches, one methodology, five learning theories and one theoretical framework, which are presented in the context of virtual reality in education. These include constructivism learning, experiential learning, gamification of learning, John Dewey’s theory of learning by doing, flow theory, Cognitive Theory of Multimedia Learning, design thinking, learning through problem solving, scientific discovery learning, social constructivism, cognitive load theory and the Technology Pedagogical Content Knowledge Framework (TPACK). A major finding of this study is that constructivism learning is the most often utilized learning theory/method, Experiential Learning is most appropriate for VR and the gamification of learning has the greatest future potential.
Journal Article
Tanmay teaches Julia for beginners : a springboard to machine learning for all ages
\"A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python\"--Provided by publisher.
Transformational Teaching: Theoretical Underpinnings, Basic Principles, and Core Methods
2012
Approaches to classroom instruction have evolved considerably over the past 50 years. This progress has been spurred by the development of several learning principles and methods of instruction, including active learning, student-centered learning, collaborative learning, experiential learning, and problem-based learning. In the present paper, we suggest that these seemingly different strategies share important underlying characteristics and can be viewed as complimentary components of a broader approach to classroom instruction called transformational teaching. Transformational teaching involves creating dynamic relationships between teachers, students, and a shared body of knowledge to promote student learning and personal growth. From this perspective, instructors are intellectual coaches who create teams of students who collaborate with each other and with their teacher to master bodies of information. Teachers assume the traditional role of facilitating students' acquisition of key course concepts, but do so while enhancing students' personal development and attitudes toward learning. They accomplish these goals by establishing a shared vision for a course, providing modeling and mastery experiences, challenging and encouraging students, personalizing attention and feedback, creating experiential lessons that transcend the boundaries of the classroom, and promoting ample opportunities for preflection and reflection. We propose that these methods are synergistically related and, when used together, maximize students' potential for intellectual and personal growth.
Journal Article
The Effects of Scientific Self-efficacy and Cognitive Anxiety on Science Engagement with the “Question-Observation-Doing-Explanation” Model during School Disruption in COVID-19 Pandemic
2021
Game-based learning supported by mobile intelligence technology has promoted the renewal of teaching and learning models. Herein, a model of Question-Observation-Doing-Explanation (QODE) based on smart phones was constructed and applied to science learning during school disruption in COVID-19 pandemic. In this study, from the theoretical perspective of cognitive-affective theory of learning with media, Bandura’s motivation theory and community of inquiry model, self-report measure was used to verify the effect of students’ scientific self-efficacy and cognitive anxiety on science engagement. A total of 357 valid questionnaires were used for structural equation model research. The results indicated that two types of scientific self-efficacy, as indicated by scientific learning ability and scientific learning behavior, were negatively associated with cognitive anxiety. In addition, cognitive anxiety was also negatively correlated to four types of science engagement, as indicated by cognitive engagement, emotional engagement, behavioral engagement, and social engagement through smartphone interactions. These findings provide further evidence for game-based learning promoted by smart phones, contributing to a deeper understanding of the associations between scientific self-efficacy, cognitive anxiety, and science engagement. This study points out that the QODE model is suitable for implementing smart mobile devices to students’ science learning.
Journal Article
Organisational learning and sustainable tourism: the enabling role of digital transformation
by
Schönherr, Sarah
,
Eller, Robert
,
Peters, Mike
in
Behavior
,
Competition
,
Competitive advantage
2023
Purpose
Organisational learning drives tourism organisations towards more sustainable tourism. Digital transformation also provides opportunities for sustainable tourism development. This study aims to combine these perspectives and explore how digital transformation enables organisational learning to contribute to sustainable tourism, following organisational learning theory (OLT).
Design/methodology/approach
Based on a critical realist paradigm, this study focuses on developing an in-depth understanding of organisational learning in tourism organisations. Thirty qualitative interviews with tourism organisations participating in an executive development programme (EDP) show how tourism organisations create, retain and transfer knowledge.
Findings
This study demonstrates that the EDP initiates knowledge creation through content transmission and exchange, triggers knowledge retention through utilisation of digital technologies and reinforces digitalisation through data value creation. Furthermore, this study enables knowledge transformation as implementation, which contributes to the three pillars of sustainable tourism and facilitates the development of networks encouraging sustainable tourism.
Originality/value
This study identifies approaches that enable economic, social and environmentally sustainable tourism development by facilitating collaborations via digital transformation, digital technologies that guide guest streams, online mobility offers and online environmental awareness campaigns that reduce environmental impacts. Thus, this study strengthens OLT and has implications for organisational learning and tourism policymakers.
Journal Article
Principles of Blended Learning
by
Dell, Deborah
,
Cleveland-Innes, Martha
,
Vaughan, Norman D
in
Blended learning
,
Book Industry Communication
,
critical consciousness
2023,2024
The rapid migration to remote instruction during the Covid-19 pandemic has expedited the need for more research, expertise, and practical guidelines for online and blended learning. A theoretical grounding of approaches and practices is imperative to support blended learning and sustain change across multiple levels in education organizations, from leadership to classroom. The Community of Inquiry is a valuable framework that regards higher education as both a collaborative and individually constructivist learning experience. The framework considers the interdependent elements of social, cognitive, and teaching presence to create a meaningful learning experience. In this volume, the authors further explore and refine the blended learning principles presented in their first book, Teaching in Blended Learning Environments: Creating and Sustaining Communities of Inquiry, with an added focus on designing, facilitating, and directing collaborative blended learning environments by emphasizing the concept of shared metacognition.