Based on hundreds of thousands of hours of data about how students learn in massive open online courses, educational machine learning promises to help students who are learning to code. However, in most classrooms, students and assignments do not have enough historical data for feeding these data hungry algorithms. Previous work on predicting…

Purpose: Morse code as a form of communication became widely used for telegraphy, radio and maritime communication, and military operations, and remains popular with ham radio operators. Some skilled users of Morse code are able to comprehend a full sentence as they listen to it, while others must first transcribe the sentence into its written…

In this study, we investigated participants' reactions to supportive and anomalous data in the context of population dynamics. Based on previous findings on conceptions about ecosystems and responses to anomalous data, we assumed a tendency to confirm the initial prediction after dealing with contradicting data. Our aim was to integrate a…

Questionnaires are widely used in autism assessment. However, their psychometric properties are generally not evaluated in clinical practice, and the comparability and applicability of such research is limited because questionnaires are often not simultaneously evaluated. This certainly pertains to predictive values which are highly population and…

A thorough understanding of the relationship between quality and quantity of creative productions is critically important for creativity researchers and practitioners. The current study examines the equal odds baseline as a simple model to describe the quality-quantity relationship. Among other predictions, the equal odds baseline posits the…

Strategy and research are essential parts of strategic enrollment management (SEM), yet little information exists regarding how to use research and predictive analytics for effective strategy. It is often easier to react to what is happening in the moment, rather than be proactive in predicting the future or developing long-term plans. This…

Representational competence is a target of novel learning environments given the assumption that improved representational competence improves learning in science. There exists little evidence, however, that improving representational competence is positively correlated with learning outcomes across science disciplines. In this report, we argue…

We address the problem of predicting the correctness of the student's response on the next exam question based on their previous interactions in the course of their learning and evaluation process. We model the student performance as a dynamic problem and compare the two major classes of dynamic neural architectures for its solution, namely the…

Predicting student problem-solving strategies is a complex problem but one that can significantly impact automated instruction systems since they can adapt or personalize the system to suit the learner. While for small datasets, learning experts may be able to manually analyze data to infer student strategies, for large datasets, this approach is…

To support online learners at a large scale, extensive studies have adopted machine learning (ML) techniques to analyze students' artifacts and predict their learning outcomes automatically. However, limited attention has been paid to the fairness of prediction with ML in educational settings. This study intends to fill the gap by introducing a…

Events and activities consist not only of sequences of individual actions, but also they form hierarchies comprising chains of low-level actions grouped together to form higher level activities. Therefore, observers face the task of not only segmenting a continuous event stream into discrete units, but also processing these units on an appropriate…

Direct certification has been described by policymakers and academics as a tool which may replace National School Lunch Program (NSLP) eligibility data (Douglas Geverdt, National Center for Education Statistics, personal communication, August 28, 2023). It suggests a policy future in which we change the metric of how we identify disadvantage. On…

Teacher self-efficacy is a critical component of school life quality, leading scholars to explore the mechanisms behind it. Most studies have focused on this factor's mediation and moderation functions, with some indicating a strong link between teachers' academic optimism and self-efficacy. However, the roles of teachers' professional development…

Motivated by the increasing popularity of service-provider virtual exchanges (SPVEs), in which native speakers (NS) are trained, supervised, and paid by a third-party company to converse about cultural topics with second language (L2) learners, this study examines the potential of L2-NS videoconferencing conversations to foster negotiation of…

E-learning readiness (ELR) is critical for implementing digital education strategies, particularly in developing countries where online learning faces unique challenges. This study aims to provide a concise and actionable framework for assessing and predicting ELR in Algerian universities by combining the ADKAR model with advanced machine learning…