We have designed, developed, and implemented a student-facing learning analytics dashboard in order to support students as they learn in online environments. There are two separate dashboards in our system: a content recommender dashboard and a skills recommender dashboard. The content recommender helps students identify gaps in their content…

This study aims to explore the process of reading during writing. More specifically, it investigates whether a combination of keystroke logging data and eye tracking data yields a better understanding of cognitive processes underlying fluent and nonfluent text production. First, a technical procedure describes how writing process data from the…

Community colleges are continually being faced with pressures to use data to inform decisions. These pressures arise from a triage of factors, including accountability, accreditation, and student success initiatives. Yet, as these demands continue, research has shown that community colleges struggle to institutionalize data-informed decision…

This study examined the effects of John Kotter's Eight Steps for Successful Change framework and strategies in systems implementation in a secondary educational environment. Teachers' perceptions of the effectiveness of Kotter's strategies used by their administrative team to support positive change were examined. The study evaluated data provided…

Quadratic modeling problems are commonplace in high school mathematics courses; they typically situate quadratic patterns of change and their corresponding parabolic graph within real-world contexts. Traditional approaches to this type of problem lend themselves to making connections across different representations (e.g., Garofalo and Trinter…

Deep learning (DL), as the core technology of artificial intelligence (AI), has been extensively researched in the past decades. However, practical DL education needs large marked datasets and computing resources, which is generally not easy for students at school. Therefore, due to training datasets and computing resources restrictions, it is…

The field of computational thinking (CT) is developing rapidly, reflecting its importance in the global economy. However, most empirical studies have targeted CT in K-12, thus, little attention has been paid to CT in higher education. The present scoping review identifies and summarizes existing empirical studies on CT assessments in…

Fierce competition has made innovation increasingly necessary for business success, and this has increased the importance of user-based innovation strategies like design thinking (DT). While many studies in technical and professional communication (TPC) have explored how DT can be used pedagogically, no studies have done this through investigating…

Helping pre-service teachers (PSTs) develop competencies in collaborative inquiry and knowledge building is crucial, but this subject remains largely unexplored in CSCL. This study examines the design and process of collaborative analytics-supported reflective assessment and its effects on promoting PSTs to develop their competencies in…

The role of interdisciplinarity in achieving authentic and transformative learning outcomes is both contested and complex. At the same time, traditional disciplinary ways of being, doing and knowing have been further tested by the impact of COVID-19 on students, schools and communities. In Tasmania, already experiencing amongst the lowest levels…

Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…

It is now widely accepted that the standard inferential toolkit used by the scientific research community--null-hypothesis significance testing (NHST)--is not fit for purpose. Yet despite the threat posed to the scientific enterprise, there is no agreement concerning alternative approaches for evidence assessment. This lack of consensus reflects…

Background: Process data, data generated by a user's interaction with a web-based application, is an emerging tool in educational research. The current study explores using process data as a measure of implementation fidelity to a randomized control trial (RCT) of the Read It Again Mobile (RIA-M) curricular supplement. Objectives: To determine the…

This paper presents a novel design for an upper-level undergraduate statistics course structured around data rather than methods. The course is designed around curated datasets to reflect real-world data science practice and engages students in experiential and peer learning using the data science competition platform Kaggle. Peer learning is…

Recent years, dramatic changes in the mode of writing have occurred. Computers and other digital devices are increasingly replacing writing by hand. The sensory-motor experiences of typing (e.g. visual, haptic, motor) are different from those used in handwriting. Therefore, the influence and effect of keyboarding on linguistic performance,…