Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 8 |
Since 2016 (last 10 years) | 25 |
Since 2006 (last 20 years) | 44 |
Descriptor
Source
Author
Keller, John M. | 3 |
Abarkan, Ali | 1 |
Adelman, Howard S. | 1 |
Ahlers, Robert | 1 |
Aljaam, Jihad M. | 1 |
Aloui, Nadia | 1 |
Andrew S. Lan | 1 |
Angelo, Thomas A. | 1 |
Astleitner, Hermann | 1 |
Barksdale, Bonnie | 1 |
Bart Soenens | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 66 |
Journal Articles | 51 |
Speeches/Meeting Papers | 6 |
Opinion Papers | 4 |
Tests/Questionnaires | 2 |
Books | 1 |
Collected Works - Serial | 1 |
Guides - Classroom - Teacher | 1 |
Guides - General | 1 |
Reports - Evaluative | 1 |
Education Level
Audience
Teachers | 6 |
Practitioners | 5 |
Parents | 1 |
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Modern Language Aptitude Test | 1 |
Strategy Inventory for… | 1 |
Torrance Tests of Creative… | 1 |
Woodcock Johnson Tests of… | 1 |
What Works Clearinghouse Rating
Eric M. Anderman; Yue Sheng; Wonjoon Cha – Phi Delta Kappan, 2024
Students' valuing of academic content impacts their engagement in learning and plays a pivotal role in shaping their future academic and career choices. Fortunately, practicing educators can integrate many readily applicable strategies into teaching to enhance students' valuing of academic content. Drawing from expectancy-value theory, Eric M.…
Descriptors: Elementary Secondary Education, Student Motivation, Learner Engagement, Student Attitudes
Abarkan, Ali; BenYakhlef, Majid – Education and Information Technologies, 2022
Learning to code is far from an easy task, it is a promising approach that underscores the use of the video game culture of students to motivate them to invest their time in the practice of programming. The students in this discipline are often discouraged by the amount of information to remember and the complex and constraining syntaxes.…
Descriptors: Programming Languages, Educational Games, Computer Games, Learning Motivation
Khong, Hou Keat; Kabilan, Muhammad Kamarul – Computer Assisted Language Learning, 2022
The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for…
Descriptors: Second Language Instruction, Cognitive Processes, Difficulty Level, Self Determination
Dichev, Christo; Dicheva, Darina; Irwin, Keith – International Journal of Educational Technology in Higher Education, 2020
The majority of user models in gamification are based on user's gamer personality. However, the motivations driving individuals' learning behavior differ from their motivations when playing. There is no evidence that learners' experiences in gamified activities are described by these models. Thus, an alternative model capturing learners'…
Descriptors: Game Based Learning, Educational Games, Personality Traits, Learning Motivation
Schrodt, Katie; Barksdale, Bonnie; Fields, R. Stacy – Texas Journal of Literacy Education, 2022
This article seeks to empower teachers to create a literacy environment in which children begin to identify as writers: confident, willing to take risks, engaged, excited, persistent, resilient, resourceful, and self-starting. The teaching methods provided in the article are centered around the writer's workshop model, applied in a Kindergarten…
Descriptors: Independent Study, Writing (Composition), Kindergarten, Young Children
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
Bradley Johnson – Journal of the American Academy of Special Education Professionals, 2020
Constructivism represents a heterogeneous body of theoretical approaches across different disciplines for these alliances, as well as, attracting and antagonizing vast audiences within these disciplines, including psychology and education. A major influence on the rise of constructivism has been the theory and research in human development.…
Descriptors: Constructivism (Learning), Sociocultural Patterns, Classroom Environment, Learning Motivation
James A. Middleton – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
An extended (and probably unnecessary) parallel is drawn between engagement in mathematics and engagement in musical performance. Key facets of engagement are described and a model of how mathematics engagement plays out in task-level activities is discussed in light of new findings related to its social and emotional facets. Implications for…
Descriptors: Mathematics Instruction, Learning Processes, Music, Learner Engagement
Fernandes, Henrique S.; Cerqueira, Nuno M. F. S. A.; Sousa, Sergio F. – Journal of Chemical Education, 2021
Visualization can be a motivating way to teach students about molecules. Nowadays, the available experimental data and accurate computational results allow students to build realistic and accurate molecular models. These models include the representation of complex systems such as proteins, membranes, or nanotubes. However, the visualization of…
Descriptors: Computer Simulation, Virtual Classrooms, Internet, Handheld Devices
Hellgren, Jenny M. – Contributions from Science Education Research, 2019
Motivation cannot be measured directly but has to be evaluated through other indirect measurements, of which questionnaires are the most common. This chapter presents the results from the development and use of a model to approach motivation in the science classroom from multiple theoretical and methodological perspectives. The model emerged from…
Descriptors: Learning Motivation, Science Education, Models, Educational Theories
Zakrajsek, Todd M. – New Directions for Teaching and Learning, 2017
This chapter describes the ways in which the MVP model relates to recent research on neuroscience and learning, and demonstrates how those relationships may be used to better understand physiological impacts on motivation, and to facilitate improved learning.
Descriptors: Neurosciences, Models, Neuropsychology, Learning Motivation
Wang, Minjuan; Schlichtenmyer, Steve – Educational Media and Technology Yearbook, 2017
Global companies often face cultural issues when they conduct training of employees in other countries. In today's increasingly global and digitally connected society, it is essential to assure the alignment between the learning needs of individuals from different cultures and the way content is designed and delivered, both online and…
Descriptors: Instructional Design, Culturally Relevant Education, Learning Motivation, Models
Ben-Eliyahu, Adar – Educational Psychologist, 2019
The aim of this article is to map the academic emotional learning cycle from a theoretical and practical perspective through the lens of self-regulated learning. Focusing on the learner, a further iteration of the emotional dimension of the integrated self-regulated learning model is articulated by considering within-individual components (i.e.,…
Descriptors: Emotional Development, Emotional Intelligence, Psychological Patterns, Learning Processes
Wang, Ting; Xu, Qinmei; Hu, Jon-Fan – New Directions for Child and Adolescent Development, 2019
Learning constitutes a main developmental context for children everywhere. Learning-related emotions can affect cognition, motivation, and achievement and are associated with parenting. Studies on learning-related emotions and how parenting is associated with a child's emotional development in learning have been less conclusive for Chinese…
Descriptors: Emotional Response, Schemata (Cognition), Parenting Styles, Learning Motivation
Angelo, Thomas A. – New Directions for Teaching and Learning, 2017
This chapter applies John Keller's MVP model and, specifically, adapts the ARCS-V components of that model--defined and described in Chapter 1 of this issue of "New Directions for Teaching and Learning"--as a frame for exploring practical, research-based assessment, and feedback strategies and tools teachers can use to help students…
Descriptors: Models, Instructional Design, Teaching Methods, Learning Processes