Although computer-assisted vocabulary acquisition tools have been widely applied to English as a foreign language learning, the kinesthetic and tactile potential of such tools has not been fully utilized. Embodied cognition suggested that the change of practice modality (from handwriting to keyboarding), involves different sensory-motor…

Technology integration into classrooms is crucial for student success. It should be implemented beyond lesson planning and organizing information. Digital tools like Mastery Connect can effectively drive data-driven instruction to close learning gaps. The TPACK Model outlines the framework for successfully integrating technology into the…

This dissertation consists of three papers. Online Learning, Offline Outcomes: Online Course Taking and High School Student Performance. This paper uses fixed effects models to estimate differences in contemporaneous and downstream academic outcomes for students who take courses virtually and face-to-face, both for initial attempts and for…

Integrating engineering design into K-12 curricula is increasingly important as engineering has been incorporated into many STEM education standards. However, the ill-structured and open-ended nature of engineering design makes it difficult for an instructor to keep track of the design processes of all students simultaneously and provide…

Credit recovery in public education has become an intervention used widely in the United States to address the rising number of students who are not meeting with success in the completion of required courses in the traditional education setting. With the passing of the Every Student Succeeds Act in 2015, public schools sought a method to motivate…

This paper investigates iteration and fixation in design by mining digital footprints left by designers. High school students used computer-aided design software to create buildings in an urban area, with the goal of applying passive solar design techniques to ensure optimal solar gains of the buildings throughout a year. Students were required to…

The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…

Background: Self-regulated learning (SRL) models position metacognitive monitoring as central to SRL processing and predictive of student learning outcomes (Winne & Hadwin, 2008; Zimmerman, 2000). A body of research evidence also indicates that depth of strategy use, ranging from surface to deep processing, is predictive of learning…

Interactive learning environments can provide learners with opportunities to explore rich, real-world problem spaces, but the nature of these problem spaces can make assessing learner progress difficult. Such assessment can be useful for providing formative and summative feedback to the learners, to educators, and to the designers of the…

The 2015-16 survey "Programs and Services for High School English Learners" provides the first nationally representative data on this topic. This report is based on that survey and presents data on programs and services for high school English learners (ELs), including instructional approaches, newcomer programs, online or computer-based…

Good learning experiences ask students to investigate and make sense of the world. While there are many ways to do this, K-12 curriculum has traditionally skewed toward reading and writing to interpret and express students' sense-making. But there is another way. Infographics represent data and ideas visually, in pictures, engaging more parts of…

As course management systems (CMS) gain popularity in facilitating teaching. A forum is a key component to facilitate the interactions among students and teachers. Content analysis is the most popular way to study a discussion forum. But content analysis is a human labor intensity process; for example, the coding process relies heavily on manual…

Motivation in distance education (DE) has been studied mostly at the postsecondary level with few studies having been conducted at the high-school level. This paper breaks with this tradition by reporting on the perspectives on motivation of 42 Canadian high-school DE teachers. Data collection involved one-hour long, semi-structured telephone…

Students benefit from collaborative learning activities, but they do not automatically reach desired learning outcomes when working together (Fischer, Kollar, Mandl, & Haake, 2007; King, 2007). Learners need instructional support to increase the quality of collaborative processes and individual learning outcomes. The core challenge is to find…

New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data,…