Higher education systems exhibit varying degrees of heterogeneity in approaches to undergraduate degree classification -- specifically for this Point of Departure: the wide variety of 'Degree Classification Algorithms' (DCAs) used to calculate students' final awards. To date, the impact of DCA variation remains an under-researched 'black box', and…

Learning analytics offer centralization of a particular understanding of learning, teaching, and student support alongside data-informed insight and foresight. As such, student-related data in higher education can be imagined and enacted as a 'data frontier' in which the data gaze is expanding, intensifying, and performing new meanings and…

Educational disparities between traditional and non-traditional student groups in higher distance education can potentially be reduced by alleviating social identity threat and strengthening students' sense of belonging in the academic context. We present a use case of how Learning Analytics and Machine Learning can be applied to develop and…

Artificial Intelligence (AI) strives to create intelligent machines with human-like abilities. However, like humans, AI can be prone to implicit biases due to flaws in data or algorithms. These biases may cause discriminatory outcomes and decrease trust in AI. Bias in higher education admission may limit access to opportunities and further social…

An algorithm for the assembly of multiple test forms is proposed in which the multiple-form problem is reduced to a series of computationally less intensive two-form problems. At each step one form is assembled to its true specifications; the other form is a dummy assembled only to maintain a balance between the quality of the current form and the…

A method for checking college students' completion of program and graduation requirements by computer is outlined. The procedure operates by having degree programs defined in tables and is simple enough to be achieved by junior program staff without the need for programmers and analysts. (MSE)

An algorithm presenting questions allowing prediction of the major type of biological activity elicited by a steroid hormone structure is designed to help students organize their approach to the interpretation of the complex structures and permit independent application of logical thought processes in pharmacological identification of other drug…

Based on a computer-science course, this article outlines an alternative ordering of programming concepts that aims to develop a reuse habit before other styles of programming are developed. Although the discussion is based on transition from Modula-2 to C++, the issues raised apply to transition from any procedural to any object-oriented…

A statistical model for investigating predictive validity at highly selective institutions is described. When the selection ratio is small, one must typically deal with a data set containing relatively large amounts of missing data on both criterion and predictor variables. Standard statistical approaches are based on the strong assumption that…

Presented three algorithms to university students in an introductory laboratory chemistry course and found that differences in the effects of representation modes--flow charts, lists, and standard prose--were complex and changed over 10 lab sessions. There was no evidence that representation mode affected critical thinking ability or final grade.…

Research on the cognitive processes used by physicians during patient care (template matching, deductive logic starting with multiple hypotheses, and algorithmic logic) is examined for its applicability to optometrists and the problem-solving strategies used by optometric students in the classroom or clinic. (Author/MSE)

A reparameterization of a latent class model is presented to classify and scale nomial and ordered categorical choice data simultaneously. The model extension represents a nonhomogeneous population as a mixture of homogeneous subpopulations. Simulated data and data from a magazine preference survey of 347 college students illustrate the model.…

Focuses on identifying the educational effects of "activity oriented" instructional techniques. Examines which instructional methods produce enhanced learning and comprehension. Discusses the problem of learning "sorting algorithms," a major topic in every Computer Science curriculum. Presents a low-tech, hands-on teaching method for sorting…

A method for predicting freshman performance based on high school grades allows calculation of any student's likely grades in a similar university course. The method is contrasted with several more traditional predictive methods and examined in a study of 3,734 University of Western Australia students. (MSE)

It is proposed that algorithms and heuristics are useful in improving professional problem-solving abilities when contextualized within the academic discipline. A basic algorithm applied to problem solving in undergraduate engineering education and a similar algorithm applicable to legal problems are used as examples. Problem complexity and…