Subset Of Courses Research Articles

Early detection of student degree-level academic performance using educational data mining.

Higher educational institutes generate massive amounts of student data. This data needs to be explored in depth to better understand various facets of student learning behavior. The educational data mining approach has given provisions to extract useful and non-trivial knowledge from large collections of student data. Using the educational data mining method of classification, this research analyzes data of 291 university students in an attempt to predict student performance at the end of a 4-year degree program. A student segmentation framework has also been proposed to identify students at various levels of academic performance. Coupled with the prediction model, the proposed segmentation framework provides a useful mechanism for devising pedagogical policies to increase the quality of education by mitigating academic failure and encouraging higher performance. The experimental results indicate the effectiveness of the proposed framework and the applicability of classifying students into multiple performance levels using a small subset of courses being taught in the initial two years of the 4-year degree program.

Data Driven Approach to Analyze Competency Teaching in an Undergraduate Biology Program: A Case Study

Recent calls to reform undergraduate biology education, including Vision and Change in Undergraduate Biology Education, have led biology departments to examine their curriculum to determine the extent to which it aligns with Vision and Change content and competency recommendations. The recently released BioSkills Guide translates the broad Vision and Change core competencies into more specific program-level learning objectives. Curriculum mapping is the process of surveying courses within a program to determine where content and skills are taught, then analyzing the data to determine how well the curriculum that is actually taught aligns with the planned curriculum. The [INSTITUTION] Biology Department used a new curriculum mapping tool, the BioSkills Curriculum Survey, to examine the extent to which Vision and Change core competencies and BioSkills learning objectives were taught in our courses. Instructors completed the survey for every course they taught in the last two years, enabling us to gather data on competency and learning objective coverage and assessment across our curriculum. We answered questions about where in the curriculum competencies and learning objectives were taught, how different instructors teaching the same course taught learning objectives, the extent to which different learning objectives were assessed, and how teaching learning objectives differed in different tracks and different course levels. For a subset of courses, students also completed a modified survey to determine how students’ perceptions of skills coverage matched instructor’s perceptions. One main finding was that we taught Science and Society learning objectives less than others and, when taught, we did not often assess them. We also found that students’ perceptions of competency teaching did not align well with instructors’ perceptions. The data were used to make informed decisions about ongoing curriculum revisions. This paper illustrates the questions that can be answered using this mapping tool for competencies and we offer recommendations about how a department can take a data-driven approach to curriculum reform.

Developing an Assessment Process for a Master’s of Science Degree in a Pharmaceutical Sciences Program

Objective. To develop a program-level assessment process for a master's of science degree in a pharmaceutical sciences (MSPS) program. Design. Program-level goals were created and mapped to course learning objectives. Embedded assessment tools were created by each course director and used to gather information related to program-level goals. Initial assessment iterations involved a subset of offered courses, and course directors met with the department assessment committee to review the quality of the assessment tools as well as the data collected with them. Insights from these discussions were used to improve the process. When all courses were used for collecting program-level assessment data, a modified system of guided reflection was used to reduce demands on committee members. Assessment. The first two iterations of collecting program-level assessment revealed problems with both the assessment tools and the program goals themselves. Course directors were inconsistent in the Bloom's Taxonomy level at which they assessed student achievement of program goals. Moreover, inappropriate mapping of program goals to course learning objectives were identified. These issues led to unreliable measures of how well students were doing with regard to program-level goals. Peer discussions between course directors and the assessment committee led to modification of program goals as well as improved assessment data collection tools. Conclusion. By starting with a subset of courses and using course-embedded assessment tools, a program-level assessment process was created with little difficulty. Involving all faculty members and avoiding comparisons between courses made obtaining faculty buy-in easier. Peer discussion often resulted in consensus on how to improve assessment tools.

Seeking mathematics success for college students: a randomized field trial of an adapted approach

Many students enter the Canadian college system with insufficient mathematical ability and leave the system with little improvement. Those students who enter with poor mathematics ability typically take a developmental mathematics course as their first and possibly only mathematics course. The educational experiences that comprise a developmental mathematics course vary widely and are, too often, ineffective at improving students’ ability. This trend is concerning, since low mathematics ability is known to be related to lower rates of success in subsequent courses. To date, little attention has been paid to the selection of an instructional approach to consistently apply across developmental mathematics courses. Prior research suggests that an appropriate instructional method would involve explicit instruction and practising mathematical procedures linked to a mathematical concept. This study reports on a randomized field trial of a developmental mathematics approach at a college in Ontario, Canada. The new approach is an adaptation of the JUMP Math program, an explicit instruction method designed for primary and secondary school curriculae, to the college learning environment. In this study, a subset of courses was assigned to JUMP Math and the remainder was taught in the same style as in the previous years. We found consistent, modest improvement in the JUMP Math sections compared to the non-JUMP sections, after accounting for potential covariates. The findings from this randomized field trial, along with prior research on effective education for developmental mathematics students, suggest that JUMP Math is a promising way to improve college student outcomes.

Real-life curriculum-based timetabling with elective courses and course sections

This paper presents an innovative approach to curriculum-based timetabling. To capture complex relations of real life curriculum-based timetabling problems, curricula are defined by a rich model that includes optional courses and course groups among which students are expected to take a subset of courses. In addition, courses may contain alternative course sections. A transformation between the proposed curriculum model and student course enrollments is formalized and a local search algorithm generating corresponding enrollments is introduced. While the proposed curriculum model is too complicated for existing curriculum-based solvers, the transformation enables curriculum-based timetabling in any existing enrollment-based course timetabling solver. The approach was implemented in a well established enrollment-based course timetabling system UniTime. The system has been successfully applied in practice at the Faculty of Education at Masaryk University for about 7,500 students and 260 curricula and at the Faculty of Sports Studies at Masaryk University for about 1,400 students and 25 curricula. Experimental results related with these problems are demonstrated for two semesters.

Mathematical Biology at an Undergraduate Liberal Arts College

Since 2002 we have offered an undergraduate major in Mathematical Biology at Harvey Mudd College. The major was developed and is administered jointly by the mathematics and biology faculty. In this paper we describe the major, courses, and faculty and student research and discuss some of the challenges and opportunities we have experienced.

Simultaneous Estimation of Regression Functions for Marine Corps Technical Training Specialties

This paper considers the application of Bayesian techniques for simultaneous estimation to the specification of regression weights for selection tests used in various technical training courses in the Marine Corps. Results of a method for m-group regression developed by Molenaar and Lewis (1979) suggest that common weights for training courses belonging to certain general categories are justified in many cases. However, such commonality of regression weights does not appear to hold for all courses in these categories—weights for some training courses remain distinct even after the application of the simultaneous estimation procedure. Thus, a hypothesis of complete generalization of the predictor-criterion relationships across training courses in a given category would only be retained for a carefully selected subset of courses and not for all groups included in the analysis.