Predicting student performance in an academic institution is important for detecting at-risk students and administering early-intervention strategies. We propose a new grade prediction model that considers three factors: temporal dynamics of prior courses across previous semesters, short-term performance consistency, and relative performance…

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…

Every year around 1.2 million students drop out of school in the US. According to a UNICEF report enrollment in educational institutions in Lebanon dropped from 60% in 2020-2021 to 43% in 2021-2022. The National Dropout Prevention Center (NDPC) at Clemson University has identified an extensive set of risk factors organized into four domains:…

Low retention rates in college is a policy concern for US postsecondary institutions, and writing is a critical competency for college (Graham, 2019). This paper describes an exploratory writing analytics study at six 4-year universities aimed at gaining insights about the relationship between college retention and writing. Findings suggest that…

Data show that half of all students who have dropped/failed Survey of Calculus or Finite Mathematics at the University of Arkansas will drop/fail again. These students face a lack of motivation and a fair amount of anxiety toward mathematics. To make connections and create an environment in which they are comfortable discussing any issues with the…

Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…

There is widespread acknowledgement that importance of reading skill is increasing day by day. Reading is the first step to learning and revealing something new. Beyond the primary grades, it plays a vital role in keeping up with the requirements of the age. Individuals who read, understand, question, think and produce develop societies. Thus, it…

Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…

"Papel y lápiz" (Paper and pencil) is the result of a qualitative research project carried out using the Participatory Action Research (PAR) as a model. "Papel y lapiz" seeks to teach young people and children, who are identified as being at high social risk, in 35 different public educational institutions (PEIs) from Cartagena…

Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…

Students with learning disabilities/difficulties in mathematics often apply ineffective procedures to solve word problems. Given that current mathematics curriculum standards emphasize conceptual understanding in problem solving as well as higher-order thinking and reasoning, the purpose of this study was to evaluate the impact of a model-based…

It is estimated that up to 13% of children have been exposed to three or more adverse childhood experiences. The problem addressed by this study was the lack of adequate and appropriate teacher preparation in the support needed to combat the negative effects of adverse childhood experiences which can inadvertently intensify the academic,…

This descriptive study determined the relationship of peer bullying in the early adolescent period to family functions and children's behavior. The cohort for the research consisted of 320 students and parents who were selected by a simple random method from a middle school. The data were collected using the student and parent questionnaires,…

The issue of school feeding is placed at the top of global agenda currently more than ever before. Challenges imposed by COVID-19 have created an opportunity to broaden and deepen debates focusing around the significance of school feeding programmes internationally. Throughout the duration of the lockdown period, billions of learners worldwide…