The prediction of student performance and the analysis of students' learning behaviour play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behaviour, educators can gain valuable insights into the factors that influence students' academic outcomes and identify areas of…

Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…

Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…

The school accountability system in the Dominican Republic (DR) involves the use of several national assessments, the reporting of such data, and the training of principals on how to use such data as part of school improvement efforts. While this type of indicator accountability system does not include specific consequences, there is still…

This study explored the perceptions of principal candidates and their field supervisors regarding the impact of coherently sequenced practicum tasks on candidates' instructional leadership skills. The findings revealed that the quality of practicum experiences and the development of professional relationships between candidates and supervisors are…

In today's data-centric world, knowledge and skills in business analytics (BA) have become critical for business professionals to the extent that Foundation BA courses are increasingly being recognised globally as the core component of business programs. However, these courses are characterised by large cohorts of students from diverse backgrounds…

Intelligent tutoring systems (ITSs) teach skills using learning-by-doing principles and provide learners with individualized feedback and materials adapted to their level of understanding. Given a learner's history of past interactions with an ITS, a learner performance model estimates the current state of a learner's knowledge and predicts her…

While universities routinely use student data to monitor and predict student performance, there has been limited engagement with student and staff views, social and ethical issues, policy development, and ethical guidance. We reviewed peer-reviewed and grey-literature articles of 2007 to 2018 describing the perspectives of staff and students in…

The purpose of this phenomenological study was to describe the characteristics of effective principals in high-poverty, high-performing urban elementary schools and how these align to the 21 Responsibilities identified by Marzano, Waters & McNulty (2005).The researcher was able to interview ten candidates that met the criteria for the study.…

This study explored third-grade elementary students' conceptions of nature of science (NOS) over the course of an entire school year as they participated in explicit-reflective science instruction. The "Views of" NOS-D (VNOS-D) was administered pre instruction, during mid-school year, and at the end of the school year to track…

Rhode Island is committed to ensuring that all educators receive fair, accurate, and meaningful educator evaluations that provide information that can help all teachers improve and refine their practice. Currently, districts in Rhode Island may submit a district-designed model for approval that complies with the Educator Evaluation System…

This qualitative study investigated the types of content-based student performance data World Language teachers used to improve instruction and student academic achievement, the purposes for which they used data, the issues they encountered, and the suggestions they made for more effective use of data. The Standards for Foreign Language Learning…

Peer assessment has been increasingly integrated in educational settings as a strategy to foster student learning. Yet little has been studied about how students at different learning levels may benefit from peer assessment. This study examined how peer-assessment and students' learning levels influenced students' project performance using a…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

The aim of this study was to examine the experiences of international undergraduate students who are identified with learning disabilities and enrolled in universities in the United States. There is a dearth of studies investigating the unique needs and challenges of this population. This is the first study to explore the phenomenon of…