Students struggle with observing scientifically and connecting observations to scientific theory. This study investigates how students actually use observation in rock classification -- a classical practical task in science education. To describe the level of students' use of observation, data was collected by videotaping 19 small student groups…

This study was aimed to investigate the opinions of licensed swimming referees within the structure of Turkey Swimming Federation about referee training process and determine the level of their expectations. The study group was randomly selected by a total of 212 swimming referees (95 female and 117 male), and attended Development Seminar for…

Most teachers assume that asking questions contributes to the effectiveness of their instruction. Because proper questioning techniques are important for the classroom, this study identified the Mathematics pre-service teachers' classification of test items using the revised Bloom's Taxonomy (rBT) and the Cunningham's Levels of Questions (CLQs).…

Marczewski (2015) has introduced a new classification model for different user types. Tondello et al. (2016) developed and later revised (Tondello et al., 2019) "The Gamification User Types Hexad Scale" based on this model. The aim of this study is to adapt this scale into Turkish. The validity and reliability study of the scale was…

This is the first in a series of briefs the Houston Education Research Consortium (HERC) will release on long-term English learners (LTELs). The full study will examine LTELs in Texas, with particular focus on 10 Houston-area public school districts. Currently, there is no formal definition of LTEL in Texas. The purpose of this brief was to…

This paper presents a review of distance education literature published in the "Turkish Online Journal of Distance Education" ("TOJDE") to describe the status thereof and to identify gaps and priority areas in distance education research based on a validated classification of research areas. The articles (N=784) published…

Are teachers and principals aligned in their perceptions of the core components of the theory of Leadership for Learning across countries, or are there subgroups of schools in which there is misalignment? The purpose of this study is to examine the extent to which a congruency-typology model of leadership for learning is distributed across…

Effectively estimating student enrollment and recruiting students is critical to the success of any university. However, despite having an abundance of data and researchers at the forefront of data science, traditional universities are not fully leveraging machine learning and data mining approaches to improve their enrollment management…

Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…

This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…

Here, we describe the development and validation of an automatic assessment system that examines students' hand-drawn visual representations in free-response items. The data were collected from 1,028 students in the second through 11th grades in South Korea using two items from the Test About Particles in a Gas questionnaire (Novick &…

Children with severe motor and intellectual disabilities (CSMID) face challenges in the transition from childhood to adult life after graduation, including changing health conditions caused by the acceleration of secondary disabilities, transition from paediatric to adult health care, and transition to places where they spend time after graduation…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

With the rise of the internet, work from the of fields of digital sociology, communications/social media studies, and online research methods have become increasingly relevant for music education scholars both investigating and facilitating music teaching and learning in online contexts. While opportunities for online music making, teaching, and…

Subject relative clauses (RCs) have been shown to be acquired earlier, comprehended more accurately, and produced more easily than object RCs by children. While this subject preference is often claimed to be a universal tendency, it has largely been investigated piecemeal and with low-powered experiments. To address these issues, this…