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Eric T. McChesney; Christian D. Schunn; Linda DeAngelo; Erica McGreevy – International Journal of STEM Education, 2025
Background: This study breaks new ground by presenting a new, more sophisticated model of learning engagement that goes beyond the current state of the art embodied in the widely used Affective-Behavioral-Cognitive (ABC) model. This work synthesizes and builds upon neglected lines of research in the structure of affective engagement. It also…
Descriptors: Models, Learner Engagement, Academic Achievement, Affective Behavior
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Shemy, Nader Said; Dalioglu, Seray Tatli – Journal of Education and e-Learning Research, 2023
The current study aimed to evaluate an online learning experience based on the music model of motivation in an educational technology post-graduate program in Oman. In order to understand the motivational perceptions of students regarding the instruction, a two-phase, sequential explanatory mixed method research design was conducted in this study.…
Descriptors: Models, Learning Motivation, Educational Technology, Graduate Students
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Mario Alberto de la Puente Pacheco; Carlos Mario de Oro Aguado; Elkyn Lugo Arias; Heidy Rico; Diana Cifuentes; Merlys Tafur – Interactive Learning Environments, 2023
This Article analyses the effectiveness of Simulation-Based Learning Model ASEAN Meeting in enhancing critical thinking skills and academic performance compared to the conventional teaching method among 216 International Relations undergraduate students on the north coast of Colombia. A t-student test, Welch test, and the Kendall Tau correlation…
Descriptors: Critical Thinking, Models, Inquiry, Active Learning
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Keast, Dan – Online Journal of Distance Learning Administration, 2022
The wash-rinse-repeat model of refreshing courses each term might be a financially beneficial model for the institution, yet is it serving students the best educational experience? If all that is monitored in the pre-flight check is for broken hyperlinks and refreshed dates, who is ensuring the quality delivery? Many institutions proudly boast…
Descriptors: Instructional Design, Educational Change, Integrated Learning Systems, Models
Cross, Tracy L., Ed.; Olszewski-Kubilius, Paula, Ed. – Prufrock Press Inc., 2020
"Conceptual Frameworks for Giftedness and Talent Development" explores current and enduring theories and comprehensive models of giftedness and talent development. Each chapter: (1) Includes a description of the model, theory, or framework; (2) Shares the most important implications of each model, including underrepresentation and social…
Descriptors: Academically Gifted, Talent Development, Gifted Education, Models
Office of Assessment, Research, and Data Analysis, Miami-Dade County Public Schools, 2020
This report examines the extent to which student characteristics, achievement, and postsecondary plans can predict the likelihood of college attendance. The report compares students' self-reported plans in Spring 2019 with subsequent college attendance through the 2019-2020 school year. The postsecondary plans used in this report are obtained from…
Descriptors: High School Seniors, Student Characteristics, Grade 12, Academic Achievement
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Shah, Veenita; Murthy, Sahana; Warriem, Jayakrishnan; Sahasrabudhe, Sameer; Banerjee, Gargi; Iyer, Sridhar – Educational Technology Research and Development, 2022
MOOCs support the global need of learning resources with large impact through online access and no geographical boundaries. However, pedagogical design limitations in MOOCs are known to result in passive role of the learner, lack of learner connect and engagement, limited interactivity with course content and peers, all of which result in low…
Descriptors: Student Centered Learning, Online Courses, Instructional Design, Models
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Archer, Elizabeth; Prinsloo, Paul – Assessment & Evaluation in Higher Education, 2020
Assessment and learning analytics both collect, analyse and use student data, albeit different types of data and to some extent, for various purposes. Based on the data collected and analysed, learning analytics allow for decisions to be made not only with regard to evaluating progress in achieving learning outcomes but also evaluative judgments…
Descriptors: Learning Analytics, Student Evaluation, Educational Objectives, Student Behavior
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Shaw, Ryan D. – Arts Education Policy Review, 2019
While policy formation frameworks are commonly used to understand public policy developments, scholars rarely have used them to reflect on arts education policies. Such analysis is important because it can assist both in identifying the genesis of past policies, including who the important actors are, how issues are framed and problematized, and…
Descriptors: Art Education, Educational Policy, Models, Policy Formation
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Cui, Hongmei – International Education Studies, 2019
In recent years, with the continuous development of the society, the boom of global Chinese learning has flourished. The teaching and research of Chinese as a foreign language has received much attention. In order to explore the effective teaching methods in oral Chinese, to stimulate foreign students' love of learning Chinese, and to increase…
Descriptors: Oral Language, Chinese, Second Language Learning, Second Language Instruction
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Cross, Reid; Sanchez, Phillip; Kennedy, Bridgette – Journal of Physical Education, Recreation & Dance, 2019
Connection to nature is a fundamental aspect of human learning dating back to ancient times. Research shows that there is no more effective resource for children to develop physical, social and emotional skills than being exposed to a curriculum in outdoor education. Getting students involved in outdoor activities clearly supports the National…
Descriptors: Outdoor Education, Holistic Approach, Educational Benefits, Models
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Chujitarom, Wannaporn; Piriyasurawong, Pallop – International Education Studies, 2018
The STEAM-GAAR Field Learning Model to Enhance Grit is a learning model using STEAM education (Science, Technology, Engineering, Art and Mathematics) integrated with gamification (G), animation (A), augmented reality (AR) and space utilization (Field) to promote the factors that enhance a learner's grit. The purpose of this research is to: (1)…
Descriptors: STEM Education, Art Education, Computer Simulation, Educational Games
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Lagus, Jarkko; Longi, Krista; Klami, Arto; Hellas, Arto – ACM Transactions on Computing Education, 2018
The computing education research literature contains a wide variety of methods that can be used to identify students who are either at risk of failing their studies or who could benefit from additional challenges. Many of these are based on machine-learning models that learn to make predictions based on previously observed data. However, in…
Descriptors: Computer Science Education, Transfer of Training, Programming, Educational Objectives
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Kokoç, Mehmet – Themes in eLearning, 2019
The purpose of this study is to explore how perceived flexibility affect behavioral engagement and academic performances in an e-learning environment. The study was conducted following predictive correlational design. A total of 119 higher education students enrolled in a 15-week fully online course participated in the study. Data sources included…
Descriptors: Electronic Learning, Models, Learner Engagement, Academic Achievement
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Vansteenkiste, Maarten; Lens, Willy; Elliot, Andrew J.; Soenens, Bart; Mouratidis, Athanasios – Educational Psychologist, 2014
An important recent development in the achievement goal literature is to define achievement goals strictly as aims. In this overview, we argue that this restrictive definition of achievement goals paves the way for a systematic consideration of the autonomous and controlled reasons underlying individuals' achievement goals, a distinction…
Descriptors: Academic Achievement, Achievement Gains, Goal Orientation, Educational Objectives
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