Systematic Review of Adaptive Learning Research Designs, Context, Strategies, and Technologies From 2009 to 2018

This systematic review of research on adaptive learning used a strategic search process to synthesize research on adaptive learning based on publication trends, instructional context, research methodology components, research focus, adaptive strategies, and technologies. A total of 61 articles on adaptive learning were analyzed to describe the current state of research and identify gaps in the literature. Descriptive characteristics were recorded, including publication patterns, instructional context, and research methodology components. The count of adaptive learning articles published fluctuated across the decade and peaked in 2015. During this time, the largest concentration of adaptive learning articles appeared in Computers and Education. The majority of the studies occurred in higher education in Taiwan and the United States, with the highest concentration in the computer science discipline. The research focus, adaptive strategies, and adaptive technologies used in these studies were also reviewed. The research was aligned with various instructional design phases, with more studies examining design and development, and implementation and evaluation. For examining adaptive strategies, the authors examined both adaptive sources based on learner model and adaptive targets based on content and instructional model. Learning style was the most observed learner characteristic, while adaptive feedback and adaptive navigation were the most investigated adaptive targets. This study has implications for adaptive learning designers and future researchers regarding the gaps in adaptive learning research. Future studies might focus on the increasing availability and capacities of adaptive learning as a learning technology to assist individual learning and personalized growth

Design Parameters for Impact Research in Science Education

The Common Guidelines for Education Research and Development were created as a joint effort between the Institute of Education Science and the National Science Foundation in an effort to streamline education research and contribute to an accumulation of knowledge that will lead to improved student outcomes. One type of research that emerged in the guidelines is impact research. In order to achieve the level of rigor expected for an impact study, it is common that a research team will employ a cluster randomized trial (CRT). This article provides empirical estimates of design parameters necessary for planning adequately powered CRTs focused on science achievement. Examples of how to use these parameters to improve the design of science impact studies are discussed

Familiarity, Current Use, and Interest in Universal Design for Learning Among Online University Instructors

This study investigated online faculty familiarity, course design use, and professional development interest regarding universal design for learning (UDL) guidelines. The researchers surveyed all 2017 to 2018 online faculty at a large university in the southeastern United States. Findings included 71.6% of faculty reporting familiarity with at least one UDL guideline, with most respondents indicating familiarity with guidelines relating to perception, expression, and communication. Faculty reported the highest implementation of UDL guidelines was for those suggesting options for comprehension as well as expression and communication; the lowest implementation was for those suggesting options for physical action as well as language and support. Survey results also indicated high to moderate interest in learning more about all UDL guidelines, with emphasis on comprehension, persistence, and expression. This study suggests that faculty members desire UDL training and offers possibilities for planning and implementing such professional development in areas targeted to best meet the needs of online faculty