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…

Examining the impact of reading instruction on writing can help to refine the theoretical models to better explain how skills in reading support skills in writing and inform the development of literacy curricula that leverage the synergies between reading and writing instruction. Therefore, the purposes of this study are to investigate if the…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

Recent research has paid considerable attention to the role of university support in explaining student entrepreneurship, with several studies presenting empirical evidence of the moderating effects of individual traits on the relationship between university support and entrepreneurial intentions. However, the moderating effect of entrepreneurial…

With rapid advancements in science and technology, educational systems worldwide emphasize the need for teachers to integrate creativity and innovation into their teaching to better equip students for the future. Thus, pre-service teachers' beliefs about creativity and their willingness to embrace creative teaching practices are essential for both…

This study investigates the factors contributing to early school dropout in vocational and technical high schools in Turkey, utilizing machine learning techniques to analyze a dataset of personal, socio-economic, familial, and academic variables. The data was collected via a detailed survey administered to students at one of the largest Vocational…

Emoji are commonly used in social media to convey affects, emotions, and attitudes. While popular in social media, their use in educational contexts has been sparsely studied even though emoji can be a natural way for students to express what they are feeling about the learning material. This paper studies how students use instructor-selected…

This study examines how student performance in English Language Arts (ELA) and Mathematics predicts later college enrollment. The results show a strong and consistent relationship over time: students who score at the highest performance level are more than twice as likely to enroll in college compared with students scoring at the lowest level.…

Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…