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Joseph W. Rotondo – ProQuest LLC, 2021
In the education system, many educators find it difficult to differentiate the lessons for their students as they lack the strategies to do so. The purpose of this study is to determine if a correlation exists between video game genres and learning style preferences. The framework that this study uses is the cognitive behavioral theoretical…
Descriptors: Educational Technology, Video Games, Cognitive Style, Preferences
Oliveira, Eduardo; de Barba, Paula; Corrin, Linda – Australasian Journal of Educational Technology, 2021
Smart learning environments (SLE) provide students with opportunities to interact with learning resources and activities in ways that are customised to their particular learning goals and approaches. A challenge in developing SLEs is providing resources and tasks within a single system that can seamlessly tailor learning experience in terms of…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Undergraduate Students
Gamrat, Chris; Zimmerman, Heather Toomey – Educational Technology Research and Development, 2021
Through design-based research, this study examines a digital badging system to support online, independent teacher Professional development (PD) in Science, technology, engineering, and math (STEM) subjects. Sociocultural learning theory, in conjunction with the mediation triangle, provided a lens through which digital badging systems were…
Descriptors: Faculty Development, Educational Technology, STEM Education, Online Courses
Shanley, Lina; Strand Cary, Mari; Turtura, Jessica; Clarke, Ben; Sutherland, Marah; Pilger, Marissa – Grantee Submission, 2019
Students who demonstrate mathematics difficulties in the early grades are at risk for poor educational outcomes. Fortunately, strategic early mathematics intervention programs can improve academic outcomes for students with mathematics difficulties, and instructional technology has demonstrated promise in delivering targeted and individualized…
Descriptors: Mathematics Instruction, Learning Problems, Teaching Methods, At Risk Students
Chang, Ethan – Educational Policy, 2020
This ethnographic case investigates the relationship between the daily organizing work of one education technology "intermediary organization" (IO) in Silicon Valley, California and federal education technology policies. I argue that the IO constructed policy knowledge that reified discourses of "digital meritocracy": a belief…
Descriptors: Ethnography, Case Studies, Correlation, Educational Technology
Lambert, Judy – Technology, Instruction, Cognition and Learning, 2017
Motivation and self-regulation are significant concerns in learning environments that include mechanics of gamification and self-pacing such as in quest-based learning (QBL). QBL is a gamified learning environment designed around quest-like activities, self-pacing, and an external reward system that was offered in an introductory educational…
Descriptors: Educational Environment, Correlation, Student Motivation, Self Management
Online Submission, 2018
Study Island is a practice and assessment tool that provides state-standards-aligned opportunities for students to practice their skills. It features a system of continual assessments with immediate feedback to adjust instruction and learning. When educators integrate Study Island into their instructional practices, it acts as a formative, ongoing…
Descriptors: State Standards, Accountability, Standardized Tests, Educational Assessment
Online Submission, 2018
Study Island is a practice and assessment tool that provides state-standards-aligned opportunities for students to practice their skills. Study Island is a system of continual assessments with immediate feedback to adjust instruction and learning. When educators integrate Study Island into their instructional practices, it acts as a formative,…
Descriptors: State Standards, Accountability, Standardized Tests, Educational Assessment
Salahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali – International Education Studies, 2013
One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…
Descriptors: Individualized Instruction, Electronic Learning, Educational Technology, Profiles
Artino, A. R. – Journal of Computer Assisted Learning, 2008
Many would agree that learning on the Web--a highly autonomous learning environment--may be difficult for individuals who lack motivation and self-regulated learning skills. Using a social cognitive view of academic motivation and self-regulation, the objective of the present study was to investigate the relations between students' motivational…
Descriptors: Self Efficacy, Online Courses, Student Motivation, Educational Environment
Hastie, Megan; Chen, Nian-Shing; Kuo, Yen-Hung – Educational Technology & Society, 2007
This paper investigates the correlation between the quality of instructional design and learning outcomes for early childhood students in the online synchronous cyber classroom. Today's generation of e-learners has access to highly engaging and well-designed multi-media synchronous classrooms. However little data exists on what constitutes…
Descriptors: Best Practices, Guides, Demonstration Programs, Instructional Design
Simonson, Michael, Ed.; Crawford, Margaret, Ed. – Association for Educational Communications and Technology, 2005
For the twenty-eighth year, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the National AECT Convention in Orlando, Florida. The Proceedings of AECT's Convention are published in two…
Descriptors: Research and Development, Communications, Computer Uses in Education, Word Problems (Mathematics)