Oral Exams in Shift to Remote Learning

In this experience report paper we present our experience with the development of oral assessments as final examinations in three introductory computing courses. The choice of this type of summative assessment was prompted by the emergency remote instruction instituted in the middle of the Spring 2020 semester, across colleges and universities in the U.S., due to the coronavirus pandemic. The principles that guided our oral assessment design were: to develop a more comprehensive measure of student competence and mitigate exam cheating; to facilitate communication and workplace skills through student-teacher interaction; and to alleviate negative emotions associated with traditional summative assessments. We report on the oral assessment features and logistics. To gain insights into the impact of this form of assessment, we conducted a student survey to learn about their emotional reactions and perceptions of assessment effectiveness. Mean scores of positive emotions (enjoyment, hope, pride, relief) were higher than negative emotions (anger, anxiety, hopelessness) across all three courses. Students found the personalized, interactive nature of the exam helpful in advancing their learning and communication skills. Many believed the oral exam to be a more accurate assessment of their knowledge than traditional methods. Additionally, feedback from the two instructors who implemented the oral assessments indicates that they enjoyed the experience and will use the lessons learned to improve the use of oral assessments in the future

Introductory programming: a systematic literature review

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research

Pervasive Parallel And Distributed Computing In A Liberal Arts College Curriculum

We present a model for incorporating parallel and distributed computing (PDC) throughout an undergraduate CS curriculum. Our curriculum is designed to introduce students early to parallel and distributed computing topics and to expose students to these topics repeatedly in the context of a wide variety of CS courses. The key to our approach is the development of a required intermediate-level course that serves as a introduction to computer systems and parallel computing. It serves as a requirement for every CS major and minor and is a prerequisite to upper-level courses that expand on parallel and distributed computing topics in different contexts. With the addition of this new course, we are able to easily make room in upper-level courses to add and expand parallel and distributed computing topics. The goal of our curricular design is to ensure that every graduating CS major has exposure to parallel and distributed computing, with both a breadth and depth of coverage. Our curriculum is particularly designed for the constraints of a small liberal arts college, however, much of its ideas and its design are applicable to any undergraduate CS curriculum

Correlation Between Student Collaboration Network Centrality and Academic Performance

We compute nodal centrality measures on the collaboration networks of students enrolled in three upper-division physics courses, usually taken sequentially, at the Colorado School of Mines. These are complex networks in which links between students indicate assistance with homework. The courses included in the study are intermediate Classical Mechanics, introductory Quantum Mechanics, and intermediate Electromagnetism. By correlating these nodal centrality measures with students' scores on homework and exams, we find four centrality measures that correlate significantly with students' homework scores in all three courses: in-strength, out-strength, closeness centrality, and harmonic centrality. These correlations suggest that students who not only collaborate often, but also collaborate significantly with many different people tend to achieve higher grades. Centrality measures between simultaneous collaboration networks (analytical vs. numerical homework collaboration) composed of the same students also correlate with each other, suggesting that students' collaboration strategies remain relatively stable when presented with homework assignments targeting different skills. Additionally, we correlate centrality measures between collaboration networks from different courses and find that the four centrality measures with the strongest relationship to students' homework scores are also the most stable measures across networks involving different courses. Correlations of centrality measures with exam scores were generally smaller than the correlations with homework scores, though this finding varied across courses.Comment: 10 pages, 4 figures, submitted to Phys. Rev. PE

Promoting Academic Integrity and Student Learning in Online Biology Courses

The COVID-19 pandemic has caused an abrupt shift in biology courses, with many transitioning to online instruction. This has led to an increased concern about academic integrity and cheating in online courses. Here, I draw upon the peer-reviewed literature to provide evidence-based answers to four questions concerning cheating and online biology courses: (i) What types of cheating are prevalent with the shift to online instruction? (ii) Should instructors make assessments open book and open notes? (iii) How does cheating occur in biology lab courses? (iv) Finally, what strategies can biology instructors take to uphold academic integrity with online learning? I frame these answers not only around academic integrity but on the potential impacts on student learning and discuss some strategies that may not only deter cheating but also promote greater student learning

The Benefits of Peer Review and a Multisemester Capstone Writing Series on Inquiry and Analysis Skills in an Undergraduate Thesis.

This study examines the relationship between the introduction of a four-course writing-intensive capstone series and improvement in inquiry and analysis skills of biology senior undergraduates. To measure the impact of the multicourse write-to-learn and peer-review pedagogy on student performance, we used a modified Valid Assessment of Learning in Undergraduate Education rubric for Inquiry and Analysis and Written Communication to score senior research theses from 2006 to 2008 (pretreatment) and 2009 to 2013 (intervention). A Fisher-Freeman-Halton test and a two-sample Student's t test were used to evaluate individual rubric dimensions and composite rubric scores, respectively, and a randomized complete block design analysis of variance was carried out on composite scores to examine the impact of the intervention across ethnicity, legacy (e.g., first-generation status), and research laboratory. The results show an increase in student performance in rubric scoring categories most closely associated with science literacy and critical-thinking skills, in addition to gains in students' writing abilities

Rollins College Winter Term 1982

Rollins College catalogue with list of faculty and students and courses by department

Contemporary developments in teaching and learning introductory programming: Towards a research proposal

The teaching and learning of introductory programming in tertiary institutions is problematic. Failure rates are high and the inability of students to complete small programming tasks at the completion of introductory units is not unusual. The literature on teaching programming contains many examples of changes in teaching strategies and curricula that have been implemented in an effort to reduce failure rates. This paper analyses contemporary research into the area, and summarises developments in the teaching of introductory programming. It also focuses on areas for future research which will potentially lead to improvements in both the teaching and learning of introductory programming. A graphical representation of the issues from the literature that are covered in the document is provided in the introduction