We present the preliminary results from a project investigating a large statistics class designed for and taught using a flipped classroom model, with pre-recorded videos. The study, undertaken in 2021 during the COVID-19 pandemic, utilised student surveys in conjunction with metadata on their engagement with electronic resources. This preliminary…

The study aimed to identify the degree to which students at Shobak University College practice the elements of digital citizenship related to education. The researcher used the descriptive survey method through the electronic questionnaire instrument. The study sample consisted of 163 students from al-Shobak University College who were selected…

In Computer Science (CS) education, understanding factors contributing to students' programming difficulties is crucial for effective learning support. By identifying specific issues students face, educators can provide targeted assistance to help them overcome obstacles and improve learning outcomes. While identifying sources of struggle, such as…

Many students struggle to grasp the concept of limits, leading to persistent learning obstacles. This study employed a didactical design research (DDR) approach involving 56 mathematics education students at Universitas Khairun, divided into two groups. Data from tests, interviews, and teaching interventions revealed three key obstacles:…

Recruiting tomorrow's information technology students is getting to be a challenging job even though there are a variety of many good-paying jobs in the field when they graduate. This is not just an issue for our department, Computer and Information Technology (CIT). According to experts, with declining birthrates, students determining there are…

Knowledge tracing (KT) models have been a commonly used tool for tracking students' knowledge status. Recent advances in deep knowledge tracing (DKT) have demonstrated increased performance for knowledge tracing tasks in many datasets. However, interpreting students' states on single knowledge components (KCs) from DKT models could be challenging…

This paper develops a better understanding of the explicit and implicit implications of the academic field's competitization, with a specific focus on the role that academic social networks and platforms (ASNPs) play in this process. While ASNPs are embedded within a broad and complex ecology of academic competition we show that particularly…

We investigated methods to enhance the generalizability of large language models (LLMs) designed to classify dimensions of collaborative discourse during small group work. Our research utilized five diverse datasets that spanned various grade levels, demographic groups, collaboration settings, and curriculum units. We explored different model…

The rise of flipped learning in higher education has become apparent along with technological advances. Higher education must stay up with cutting-edge pedagogy and cognitive sciences to guarantee inclusive and equitable quality education for all students and to equip them with current knowledge and applicable skill sets for lifelong learning.…

Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…

This conference paper presents the results of a critical public higher education policy analysis of book banning, censorship, and silencing of specific voices--usually those of marginalized voices and those who fight for the oppressed. United States public higher education seeks to provide an environment for intellectual freedom that allows…

This paper introduces REFLECTSUMM, a novel summarization dataset specifically designed for summarizing students' reflective writing. The goal of REFLECTSUMM is to facilitate developing and evaluating novel summarization techniques tailored to real-world scenarios with little training data, with potential implications in the opinion summarization…

Analyzing which skills students develop in introductory programming education is an important question for the computer science education community. These key skills and concepts have been formalized as knowledge components, which are units of knowledge that can be measured by performance on a set of tasks. While knowledge components in other…

Gamification is a very useful technique, that has been fully increasing in the last years. During the COVID-19 pandemic, our innovation teaching group sent to our students several games, that were used by them for self-studying. Considering that many numerical problems can be proposed in Biochemistry, rather than numerical games (sudoku, adding…

Metacognitive responsiveness is an individual's sensitivity to metacognitive experiences, awareness, and importance of metacognition, and thus can be helpful in terms of finding out the different levels of metacognitive competencies. This study aims to investigate whether and how different components of metacognition predict metacognitive…