Researchers recognize adaptive teaching as a component of effective instruction. Educators adjust their teaching according to the social, linguistic, cultural, and instructional needs of their students. While there is consensus that effective teachers are adaptive, there is no consensus on the language to describe this phenomenon. Diverse terminology surrounding the same phenomenon impedes effective communication and comprehensive understanding of this important aspect of classroom instruction. Moreover, researchers have studied this phenomenon using a variety of methods, in various disciplines, with different results. Therefore, our research team completed a comprehensive literature review of the empirical research studying adaptability across academic disciplines. In this article, we describe how adaptive teaching is defined and conceptualized in the education research literature from 1975 to 2014, the methods used to study instructional adaptations, and the results of these studies.

Abstract. Given the numerous constraints of onscreen keyboards, such as smaller keys and lack of tactile feedback, remembering and typing long, complex passwords -an already burdensome task on desktop computing systems -becomes nearly unbearable on small mobile touchscreens. Complex passwords require numerous screen depth changes and are problematic both motorically and cognitively. Here we present baseline data on device-and agedependent differences in human performance with complex passwords, providing a valuable starting dataset to warn that simply porting password requirements from one platform to another (i.e., desktop to mobile) without considering device constraints may be unwise.

Engineering students need to spend time engaging in mathematical modeling tasks to reinforce their learning of mathematics through its application to authentic problems and real world design situations. Technological tools and resources can support this kind of learning engagement. We produced an online module that develops students’ mathematical modeling skills while developing knowledge of the fundamentals of rainfall-runoff processes and engineering design. This study examined how 251 students at two United States universities perceived mathematical modeling as implemented through the online module over a 5-year period. We found, subject to the limitation that these are perceptions from not all students, that: (a) the module allowed students to be a part of the modeling process; (b) using technology, such as modeling software and online databases, in the module helped students to understand what they were doing in mathematical modeling; (c) using the technology in the module helped students to develop their skill set; and (d) difficulties with the technology and/or the modeling decisions they had to make in the module activities were in some cases barriers that interfered with students’ ability to learn. We advocate for instructors to create modules that: (a) are situated within a real-world context, requiring students to model mathematically to solve an authentic problem; (b) take advantage of digital tools used by engineers to support students’ development of the mathematical and engineering skills needed in the workforce; and (c) use student feedback to guide module revisions.

This article presents an online teaching tool that introduces students to basic concepts of remote sensing and its applications in hydrology. The learning module is intended for junior/senior undergraduate students or junior graduate students with no (or little) prior experience in remote sensing, but with some basic background of environmental science, hydrology, statistics, and programming. This e-learning environment offers background content on the fundamentals of remote sensing, but also integrates a set of existing online tools for visualization and analysis of satellite observations. Specifically, students are introduced to a variety of satellite products and techniques that can be used to monitor and analyze changes in the hydrological cycle. At completion of the module, students are able to visualize remote sensing data (both in terms of time series and spatial maps), detect temporal trends, interpret satellite images, and assess errors and uncertainties in a remote sensing product. Students are given the opportunity to check their understanding as they progress through the module and also tackle complex real-life problems using remote sensing observations that professionals and scientists commonly use in practice. The learning tool is implemented in HydroLearn, an open-source, online platform for instructors to find and share learning modules and collaborate on developing teaching resources in hydrology and water resources.

The purpose of this study was to determine the topics being studied, theoretical perspectives being used, and methods being implemented in current literacy research. A research team completed a content analysis of nine journals from 2009 to 2014 to gather data. In the 1,238 articles analyzed, the topics, theoretical perspectives, research designs, and data sources were recorded. Frequency counts of these findings are presented for each journal. Chi-square tests of independence revealed statistically significant differences among the topics, theoretical perspectives, designs, and data sources across the nine journals. These results suggest that the field of literacy research may be fragmented, which has been a concern for literacy researchers since the paradigm wars of the 1980s and 1990s. We urge the literacy research community to continue to demand rigorous research, but to do so in a way that appreciates the power in viewing and studying teaching and learning from diverse perspectives, using diverse methods, and with recognition that a foundational aspect of rigorous research is the match between research questions asked and research methods used.