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Bradley, William David – ProQuest LLC, 2023
The purpose of study was to examine how frontline employees make sense of a planned organizational change. The voices of frontline employees, the group of employees responsible for making the product or delivering the service, have frequently been ignored or neglected during planned change efforts. In this study, attention was focused on the…
Descriptors: Employees, Employee Attitudes, Planning, Organizational Change
Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
Christie Poteet – New Directions for Student Services, 2023
The Appreciative-Based Change (ABC) Model of Community Engagement focuses on strengthening partnerships and maximizing impact by using an appreciative approach to service-learning while addressing the challenges of community-university partnerships. The model offers phases that identify and leverage unified strengths, assets, and resources to…
Descriptors: Service Learning, Models, Community, Colleges
Toro-Troconis, Maria; Voce, Julie; Alexander, Jesse; Vasant, Santanu; Frutos-Perez, Manuel – World Journal of Education, 2021
This paper introduces the COM-B model (Capabilities-Opportunities-Motivation:Behaviour) and its use in combination with the Behaviour Change Wheel (BCW) in developing an intervention which aims to promote the adoption of learning design methodologies by academic staff working with learning technologists in Higher Education (HE). Qualitative…
Descriptors: Behavior Change, Instructional Design, Higher Education, Foreign Countries
Zhang, Jiayi; Andres, Juliana Ma. Alexandra L.; Hutt, Stephen; Baker, Ryan S.; Ocumpaugh, Jaclyn; Nasiar, Nidhi; Mills, Caitlin; Brooks, Jamiella; Sethuaman, Sheela; Young, Tyron – Journal of Educational Data Mining, 2022
Self-regulated learning (SRL) is a critical component of mathematics problem-solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model (Winne, 2017),…
Descriptors: Problem Solving, Mathematics Instruction, Learning Management Systems, Learning Analytics
Asim, Sumreen; Ellis, Joshua; Slykhuis, David; Trumble, Jason – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2022
The science teacher education community plays a prominent role in teacher preparation programs. Particularly, science methods courses emphasize modeling instructional strategies to promote inquiry-based practices. Integrating appropriate educational technology to enhance and support classroom practices should be embedded in these courses. The…
Descriptors: Science Teachers, Technology Integration, Models, Teaching Methods
Zahra Maryam; Asad-Ur-Rehman; Ayesha Nawal; Muhammad Shoaib; Ihtisham Ullah – Journal of International Students, 2025
IELTS is a widely accepted English language proficiency test, required for academic and professional purposes. In this study, we examined the relationship between IELTS and the English proficiency skills of international students. We developed a proximal mediation model based on Bandura's triadic reciprocal determinism theory and tested it using…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Language Proficiency
Brown, Alice; Lawrence, Jill; Basson, Marita; Redmond, Petrea – Higher Education Research and Development, 2022
Student engagement is consistently identified as a key predictor of learner outcomes within the online learning environment. However, there is limited guidance about using proactive strategies to improve engagement for low and non-engaged students: for example by specifically employing course learning analytics (CLA) and nudging strategies in…
Descriptors: Electronic Learning, Learner Engagement, Instructional Improvement, College Instruction
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
von Leipzig, Tanja; Lutters, Eric; Hummel, Vera; Schutte, Cornè – International Journal of Game-Based Learning, 2022
Dynamic personalization of learning trajectories that integrate different perspectives and variable scenarios is a viable way to improve the effectiveness and efficiency of training and education. Serious games offer a designated platform for this, by aggregating learner interactions, and using these to dynamically configure, adjust and tailor the…
Descriptors: Educational Games, Game Based Learning, Individualized Instruction, Instructional Design
Desmet, Ophélie Allyssa; Roberts, Anne Marie – Education Sciences, 2022
Positive creativity involves creative ideas and products that are beneficial to humanity. This paper discusses the importance of fostering positive and transformational creativity in PK-12 and college settings, and concrete classroom strategies for nurturing positive creativity through a service learning pedagogy. A brief history of service…
Descriptors: Creativity, Service Learning, Creative Thinking, Elementary Secondary Education
Özdemir, Erdogan; Coramik, Mustafa – Physics Education, 2022
It is often necessary to enrich the teaching environment in order for students to learn optics in depth and to interpret the real optical situations with the information they have learned. In this study, a virtual teaching environment was developed using by Algodoo, a 2D simulation software. An eye model was created in order to explain the…
Descriptors: Light, Physics, Teaching Methods, Models
Amanda J. Mohler; Andrea B. Brown – Journal of Occupational Therapy Education, 2022
The SELTEC model of Level I fieldwork was developed and published in 2020. The SELTEC model combines service and experiential learning to benefit student learners, the educational system, and the community. The purpose of the study was to determine students' perceptions of a SELTEC model experience compared to a traditional Level I fieldwork…
Descriptors: Service Learning, Experiential Learning, Models, Field Experience Programs
Matsuo, Makoto; Nagata, Masaki – International Journal of Training and Development, 2020
Although Kolb's experiential learning model has been widely used and remains among the most influential frameworks in the fields of human resource development, management education and higher education, it has been criticized for failing to propose a second-order learning process. The purpose of this study was to revise Kolb's model by addressing…
Descriptors: Models, Experiential Learning, Check Lists, Psychological Patterns
Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics

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