This is the second of a series of reports on trends in national community college enrollments. National community college enrollments continue to decrease, with variations at the state and local levels. The report also examines completion rates published by the U.S. Department of Education (ED) based on institutional level reporting, and those…

In this paper, the learning process is digitally tracked and recorded, with regard to learning evolves into data-intensive learning. Also, the number and scale of data are long and the resources are heterogeneous, and the information resources are not abundant, causing users to be lost. In the process of clean information, seeking information…

Open Education (OE), a generic term for a collection of practices that seek to broaden the access to education through digital means, has gained increasing traction and popularity over the last years and from various corners, both globally and in European circles. Rather than taking the technologies OE makes use of at face value, this article…

The purpose of this research is to examine the views of middle school mathematics teachers about the usability of VUstat and TinkerPlots software in data processing learning in the Curriculum of Mathematics Teaching in Middle School (5th, 6th, 7th and 8th grades). In the study, the phenomenology design from qualitative research patterns was…

A recent qualitative study by a team of researchers looked into how grade-level teams of teachers are thinking about causes and strategies based on looking at student performance data. What is interesting in these findings is how infrequently teachers attribute student results to instruction -- just 15% of the time. Teachers in this study were…

A primary goal of introductory statistics courses is to develop a student's ability to think statistically. To motivate students to this end, the literature suggests that statistics courses use exercises that are relevant and familiar to students. Work in educational psychology highlights the importance of connecting new concepts to pre-existing…

Quality management in higher education is generally discussed with reference to commendable outcomes such as success, best practice, improvement or control. This paper, though, focuses on the problems of organising quality management. It follows the narrative of the seven deadly sins, with each 'sin' illustrating an inherent trade-off or paradox…

Making data-based decisions is a pervasive expectation for educators and is linked to improved outcomes for students. Observational data collection for progress monitoring, in particular, can help educators track and support students' progress toward individualized educational goals in inclusive settings. Yet, many educators struggle with data…

The overall aim of this study was to review research trends and issues in the field of educational technology specifically focused on the articles published in the Turkish Online Journal of Educational Technology (TOJET) from 2012 to 2018. Content analysis was used to examine (a) general characteristics of studies; (b) research themes and issues;…

In this article, we argue that engagement with authentic science is a means to mediate trust and motivation in those who are learning about climate change. To illustrate the argument, we provide a curricular example that focuses on authentic climate science data. We conclude with an example of how researchers from multiple disciplines can use…

This study aimed at exploring novice researchers' experiences of and perspectives on the qualitative research journey and determining the difficulties tackled and strategies developed while conducting qualitative research. The study was an interview-based qualitative case study involving nine graduate students in education as the participants. The…

Systematic direct observation (SDO) is frequently used in schools to document student response to evidence-based interventions, determine eligibility for special education services, and provide objective data during high-stakes decisions. However, there are several limitations associated with this widely used data collection tool including a…

Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…

A sense of belonging and wellbeing at school influences educational and health outcomes. Here we widen the traditional focus of Assessment News to focus on the use of student wellbeing data in schools. We discuss the Wellbeing@ School (W@S) toolkit that is freely available to support schools to self-review as they examine and monitor student…

As the fields of learning analytics and learning design mature, the convergence and synergies between the two are becoming an important area for research. This paper intends to summarize the main outcomes of a systematic review of empirical evidence on learning analytics for learning design. Moreover, this paper presents an overview of what and…