Student Usage of Q&A Forums: Signs of Discomfort? [PDF]
, 2023 Q&A forums are widely used in large classes to provide scalable support. In addition to offering students a space to ask questions, these forums aim to create a community and promote engagement. Prior literature suggests that the way students participate in Q&A forums varies and that most students do not actively post questions or engage in discussions.
arxiv +1 more source
Understanding the Effects of Using Parsons Problems to Scaffold Code Writing for Students with Varying CS Self-Efficacy Levels [PDF]
, 2023 Introductory programming courses aim to teach students to write code independently. However, transitioning from studying worked examples to generating their own code is often difficult and frustrating for students, especially those with lower CS self-efficacy in general.
arxiv +1 more source
Creating Experience value to build student satisfaction in higher education [PDF]
Dinasti International Journal of Education Management and Social
Science (DIJEMSS), 2020, 2020 Higher education products or services received by students are experiential values. The purpose of this study is how to create the values of student experience so that student satisfaction arises. Higher education should now focus on students by creating strong ties with students and alumni.
arxiv +1 more source
Explainable Student Performance Prediction With Personalized Attention for Explaining Why A Student Fails [PDF]
arXiv, 2021 As student failure rates continue to increase in higher education, predicting student performance in the following semester has become a significant demand. Personalized student performance prediction helps educators gain a comprehensive view of student status and effectively intervene in advance.
arxiv
NaMemo2: Facilitating Teacher-Student Interaction with Theory-Based Design and Student Autonomy Consideration [PDF]
arXiv, 2023 Teacher-student interaction (TSI) is essential for learning efficiency and harmonious teacher-student interpersonal relationships. However, studies on TSI support tools often focus on teacher needs while neglecting student needs and autonomy. To enhance both lecturer competence in delivering interpersonal interaction and student autonomy in TSI, we ...
arxiv
Predicting Student's Performance Through Data Mining [PDF]
arXiv, 2021 Predicting the performance of students early and as accurately as possible is one of the biggest challenges of educational institutions. Analyzing the performance of students early can help in finding the strengths and weakness of students and help the perform better in examinations.
arxiv
Interactions between teaching assistants and students boost engagement in physics labs [PDF]
, 2013 Through in-class observations of teaching assistants (TAs) and students in the lab sections of a large introductory physics course, we study which TA behaviors can be used to predict student engagement and, in turn, how this engagement relates to learning.
arxiv +1 more source
Quantifying the relationship between student enrollment patterns and student performance [PDF]
arXiv, 2020 Simplified categorizations have often led to college students being labeled as full-time or part-time students. However, at many universities student enrollment patterns can be much more complicated, as it is not uncommon for students to alternate between full-time and part-time enrollment each semester based on finances, scheduling, or family needs ...
arxiv
Virtual learning environment is pleasure or pressure [PDF]
arXiv, 2022 The primary aim of this study intends the perception of students towards online learning in the covid-19 pandemic period. The pandemic has changed the traditional concepts of the education system and broken the functions of the educational institutions. But, they give it an opportunity to change pedagogy.
arxiv
Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation [PDF]
Evaluating the quality of automatically generated question items has been a long standing challenge. In this paper, we leverage LLMs to simulate student profiles and generate responses to multiple-choice questions (MCQs). The generative students' responses to MCQs can further support question item evaluation.
arxiv +1 more source