We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…

In this study, 82 middle and high school teachers engaged with the InSTEP online professional learning platform to develop their expertise in teaching data science and statistics. We investigated teachers' engagement within the platform, aspects of the platform that were most and least effective in building teachers' expertise, and the extent to…

National testing and reform agendas, with their focus on school improvement, has led to increased collection and scrutiny of student data. The analysis of these data usually occurs at a school level, often by school leaders. What is less common is the opportunity for students to scrutinise their individual data and take ownership over the results…

Massive Open Online Courses (MOOCs) are widely used to deliver specialized education and training in different fields. Determining the effectiveness of these courses is an integral part of delivering comprehensive, high-quality learning. This study is an evaluation of a MOOC offered by Imperial College London in collaboration with Health iQ…

This qualitative meta-analysis explored the nature of successful collaboration between teachers and school librarians. Three action research studies of school librarians who integrated instruction or curriculum through collaboration with teachers are examined to understand more about what strategies made the collaboration successful. Strategies…

In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…

Concordance-based Data-Driven Learning (DDL) aims to help second language learners infer language usage rules from language usage regularities. A number of DDL pedagogical treatments have focussed on phraseological units such as collocations, widely recognised as a central component of second language learning. This study evaluates DDL effects…

Gamification is a strategy of using game mechanics and experience design to digitally engage people to achieve intended goals in non-game contexts. There has been increasing discussion among educators and researchers about harnessing the idea of gamification to enhance current learning and teaching practices in school education. This paper…

Each school should have a well-prepared principal capable of improving student performance. While principal preparation advocates identify important program features (e.g., extended internships), few studies assess the impact of placing new principals trained by programs exhibiting these features on student learning. Using comparative interrupted…

The efficacy of animated data visualizations in comparison with static data visualizations is still inconclusive. Some researches resulted that the failure to find out the benefits of animations may relate to the way how they are constructed and perceived. In this paper, we present visual analytics (VA) tool which makes use of enhanced animated…

This paper explores the impact on teachers' self-efficacy to teach statistics from a graduate course aimed to develop teachers' knowledge of inferential statistics through engaging in data analysis using technology. This study uses qualitative and quantitative data from the Self-Efficacy to Teach Statistics Survey (Harrell-Williams et al., 2013)…

Cooperative and Work-integrated Education (CWIE) programs have been widely accepted as educational programs that can effectively connect what students are learning to the world of work through placements. Because a global quality standards framework could be a very valuable resource and guide to establishing, developing, and accrediting quality…

Despite that previous studies have shown that the implementation of Social Network Sites (SNSs) into the classroom may bring several learning benefits, the focus has been mainly restricted to learners at intermediate language level with a focus on use of SNSs for fostering communicative competence or as class management. This project, implemented…

This study describes a well-defined data-driven diagnostic identification and selection procedure for choosing students at-risk of academic failure for appropriate academic support services. This algorithmic procedure has been validated both by historical quantitative studies of student precedents and outcomes as well as by current qualitative…

Teacher effort, a critical component of education production, has been largely ignored in the literature due to measurement difficulties. Using a principal-agent model, North Carolina public school data, and the state's unique accountability system that rewards teachers for school-level academic growth, we show that we can distill effort from…