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Peterson, Lana; Scharber, Cassandra – Journal of Digital Learning in Teacher Education, 2018
Makerspaces are the latest educational movement that may disrupt the "grammar of schooling." Makerspaces may change the ways schools use technology; change the ways schools engage in learning and teaching; and change the forms of learning that count in schools. However, without deliberate professional learning and planning, the glamor of…
Descriptors: Faculty Development, Training Methods, Elementary Secondary Education, Teaching Models
Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
Márquez-Ramos, Laura; Mourelle, Estefanía – Distance Education, 2018
The current network society, with its primacy of information and communication technologies, is challenging the higher education model. The needs and expectations of today's students differ from those of students in the past, and educational practices should adapt to modern times. But what changes will we see in the relationship between societal…
Descriptors: Higher Education, Models, Educational Practices, Social Change
MacLellan, Christopher J.; Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…
Descriptors: Factor Analysis, Regression (Statistics), Knowledge Level, Markov Processes
Almeida, Fernando; Bolaert, Hiram; Dowdall, Shane; Lourenço, Justino; Milczarski, Piotr – Education and Information Technologies, 2015
Learning through games is increasingly gaining acceptance as a valuable training tool within the education and training community due to its simplicity, cost-effectiveness and essentially because most people prefer playing over learning. However, the use of games by students brings additional challenges regarding the design of games and their…
Descriptors: Educational Games, Educational Technology, Teaching Methods, Learning Processes
Barbera, Elena; Garcia, Iolanda; Fuertes-Alpiste, Marc – International Review of Research in Open and Distributed Learning, 2017
This paper presents a case study of the co-design process for an online course on Sustainable Development (Degree in Tourism) involving the teacher, two students, and the project researchers. The co-design process was founded on an inquiry-based and technology-enhanced model that takes shape in a set of design principles. The research had two main…
Descriptors: Vignettes, Case Studies, Sustainable Development, Online Courses
Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning
Schaffhauser, Dian – T.H.E. Journal, 2013
It's like a dream come true for educators: free resources available wherever a web browser can operate and with nary an iota of advertising. What's not to like? What is it about this organization, whose mission is "to provide a free, world-class education for anyone anywhere," that has provoked such vitriol? Part of it is that when its videos have…
Descriptors: Video Technology, Educational Resources, Mathematics Instruction, Access to Information
Lin, Yu-Ju; Kim, ChanMin – Educational Technology, 2013
Most classrooms in the U.S. are composed of students with different learning styles and experiences as well as different achievement levels (Ferguson, 2001). Personalized learning is a unique way of students' learning determined by their own learning style, pace, and needs. Focusing on individual differences, personalized instruction aims to…
Descriptors: Guidelines, Technology Integration, Technology Uses in Education, Design Preferences
Hannum, Wallace H. – Educational Technology, 2012
Instructional design models have been criticized for being too inflexible and taking too long to follow to be useful in today's fast-paced environment. As a result, some have rejected instructional design. This article offers an alternative view of instructional design as flexible and able to be accomplished in much shorter time periods than…
Descriptors: Instructional Design, Change Strategies, Educational Change, Educational Practices
Schutt, Stefan; Linegar, Dale – International Journal of Virtual and Personal Learning Environments, 2013
The authors' team has been working with virtual worlds since 2006, deploying them in diverse contexts including secondary schools, special schools, vocational education and training, higher education and the community sector. Here the authors outline their operational experience of the complex web of interrelated factors involved in running…
Descriptors: Virtual Classrooms, Learning Experience, Experiential Learning, Performance Factors
Armstrong, Scott; Simer, Lauren; Spaniol, Lee – New Directions for Community Colleges, 2011
Community colleges provide a wide range of educational services to very diverse groups of students. For that reason, the variety and flexibility of services provided can be critical. In addition, quickly changing needs result in quickly changing system requirements. In this chapter, community college CIOs speak to their roles, focusing on the…
Descriptors: Community Colleges, Educational Technology, Information Technology, Technology Planning
Ritzhaupt, Albert D.; Dawson, Kara; Cavanaugh, Cathy – Journal of Educational Computing Research, 2012
The purpose of this research was to examine the effects of teachers' characteristics, school characteristics, and contextual characteristics on classroom technology integration and teacher use of technology as mediators of student use of technology. A research-based path model was designed and tested based on data gathered from 732 teachers from…
Descriptors: Evidence, Elementary Secondary Education, Technology Integration, Path Analysis
Hernandez, Rosalinda; Roberts, Maria; Menchaca Velma – International Journal of Educational Leadership Preparation, 2012
The paper describes a mixed methods approach to the process of redesigning a principal preparation program. A qualitative approach was used to gather data from superintendents within the geographic area using a focused group approach, whereas, quantitative data, were gathered through a survey of program graduates with questions aligned to the…
Descriptors: Graduate Surveys, Principals, Mixed Methods Research, Instructional Design
Gong, Yue; Beck, Joseph E.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Student modeling is a fundamental concept applicable to a variety of intelligent tutoring systems (ITS). However, there is not a lot of practical guidance on how to construct and train such models. This paper compares two approaches for student modeling, Knowledge Tracing (KT) and Performance Factors Analysis (PFA), by evaluating their predictive…
Descriptors: Intelligent Tutoring Systems, Factor Analysis, Performance Factors, Models
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