Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles…

The DigiLit Framework suggests criteria for digital text and tool selection (content accuracy, intuitiveness, interactivity, quality) and integration (model a literacy skill or strategy, guide a literacy skill or strategy, model digital feature use, guide digital feature use) in literacy lessons. Using survey research, we explored which DigiLit…

University students often struggle with choosing a topic for their final projects due to the lack of a supporting and defining framework for said selection. Should the student be oriented toward reflecting on how each of the possible topics to choose from can become an impactful project in the short, mid and long run, maybe that selection becomes…

Faced the vast amount of information, choosing the appropriate materials is a prerequisite for effective self-directed learning. The recommendation algorithm is a kind of intelligent technology that can accurately locate the required information which the users care about most. However, many recommendation techniques experience can not be trained…

This study considered three selection indices to choose institutional peers: (a) proximity, (b) percentile, and (c) normative. Although conceptually similar, only the proximity selection index had been previously studied. The purpose of this paper is threefold. First, the procedures used to generate the peer sets for each selection index are…

Despite their widespread use, there is little academic evidence on whether applicant selection instruments can improve teacher hiring. We examine the relationship between two screening instruments used by Spokane Public Schools to select classroom teachers and three teacher outcomes: value added, absences, and attrition. We observe all applicants…

Despite their widespread use, there is little academic evidence on whether applicant selection instruments can improve teacher hiring. We examine the relationship between two screening instruments used by Spokane Public Schools to select classroom teachers, and three teacher outcomes: value added, absences, and attrition. We observe all applicants…

Selection bias is a persistent, and often hidden, problem in educational research. It is the primary obstacle standing in between increasingly available large education datasets and the ability to make valid causal inferences to inform policymaking, research, and practice (Stuart, 2010). This article provides an accessible discussion on the…

Although researchers can easily select probability samples of addresses using the U.S. Postal Service's Delivery Sequence File, randomly selecting respondents within households for surveys remains challenging. Researchers often place within-household selection instructions, such as the next or last birthday methods, in survey cover letters to…

Social media are useful facilitators when recruiting hidden populations for research. In our research on youth and radicalization, we were able to find and contact young people with extreme ideals through Facebook. In this article, we discuss our experiences using Facebook as a tool for finding respondents who do not trust researchers. Facebook…

The purpose of this case study was to examine if the Matching Assistive Technology to Child Augmentative Communication Evaluation Simplified (MATCH-ACES) assessment can help a special education team select an augmentative and alternative communication (AAC) intervention for a student with special needs. Additionally, this study identified the…

Recently, considerable concern has arisen over the complex financial markets, which are inclined to require more individual responsibility. Accordingly, students have to bear more responsibility for their financial management. Nevertheless, in a sluggish economy with high unemployment, the commercial events during the last decade have rendered the…

Randomized experiments provide unbiased estimates of treatment effects, but are costly and time consuming. We demonstrate how a randomized experiment can be leveraged to measure selection bias by conducting a subsequent observational study that is identical in every way except that subjects choose their treatment--a quasi-doubly randomized…

While engaged in academic reading, a college provost converged on an idea to use a preferential approach to students' selection of college courses, similar to the recommendation ideas based on Netflix and Amazon. The result of this idea came to be known as Degree Compass and was implemented on the campus of Austin Peay State University in 2011.…

It is well documented that teachers can have profound effects on student outcomes. Empirical estimates find that a one standard deviation increase in teacher quality raises student test achievement by 10 to 25 percent of a standard deviation. More recent evidence shows that the effectiveness of teachers can affect long-term student outcomes, such…