Ensuring Effective Student Support in Higher Education Alleged Plagiarism Cases

Plagiarism and other forms of academic misconduct are matters of great concern at all levels of study worldwide. This is especially so for students in higher education institutions, where higher degrees and publications are key focus activities. Ready access to internet based resources assist academic writing practices. However, the unintentional, or sometimes deliberate, lack of acknowledgment of intellectual property ownership by some students results in plagiarism allegations. In this article we explain how the Business School at Curtin University, Western Australia, currently handles plagiarism accusations; and we propose a model for making the University’s approach more transparent, supportive, and educative for students. We recommend this model to others.     

A psychometric evaluation of the digital logic concept inventory

Concept inventories hold tremendous promise for promoting the rigorous evaluation of teaching methods that might remedy common student misconceptions and promote deep learning. The measurements from concept inventories can be trusted only if the concept inventories are evaluated both by expert feedback and statistical scrutiny (psychometric evaluation). Classical Test Theory and Item Response Theory provide two psychometric frameworks for evaluating the quality of assessment tools. We discuss how these theories can be applied to assessment tools generally and then apply them to the Digital Logic Concept Inventory (DLCI). We demonstrate that the DLCI is sufficiently reliable for research purposes when used in its entirety and as a post-course assessment of students’ conceptual understanding of digital logic. The DLCI can also discriminate between students across a wide range of ability levels, providing the most information about weaker students’ ability levels.     

An Assessment of the Nonparametric Approach for Evaluating the Fit of Item Response Models

As item response theory has been more widely applied, investigating the fit of a parametric model becomes an important part of the measurement process. There is a lack of promising solutions to the detection of model misfit in IRT. Douglas and Cohen introduced a general nonparametric approach, RISE (Root Integrated Squared Error), for detecting model misfit. The purposes of this study were to extend the use of RISE to more general and comprehensive applications by manipulating a variety of factors (e.g., test length, sample size, IRT models, ability distribution). The results from the simulation study demonstrated that RISE outperformed G² and S‐X² in that it controlled Type I error rates and provided adequate power under the studied conditions. In the empirical study, RISE detected reasonable numbers of misfitting items compared to G² and S‐X², and RISE gave a much clearer picture of the location and magnitude of misfit for each misfitting item. In addition, there was no practical consequence to classification before and after replacement of misfitting items detected by three fit statistics.     

The Examination of a Pullout STEM Program for Urban Upper Elementary Students

The purpose of this study is to determine whether a pullout STEM program (STARBASE) makes reading and math scores decrease and examine its impact on urban fourth, fifth, and sixth grade students’ attitudes and perceptions regarding STEM education and careers. We employed a mixed-methods, case study approach that involved two published and one indigenous instrument composed of Likert scales, semantic differential scales, and open-ended items, along with structured interviews. Results indicate that it is possible for reading, math, and social studies scores to be unaffected when implementing a STEM pullout program, as adjusted trends (for ethnicity and socioeconomic status) are not statistically different from those of non-STARBASE school divisions in the area. Additionally, the Black/White achievement gap, as measured by standardized test scores, was substantially closed over the last decade within STARBASE schools. Quantitative measures revealed few differences in student attitudes from pre- to posttest. Student qualitative responses were overwhelmingly positive. Students wanted more STARBASE time in the regular school year. Students, particularly Black students, also wanted an increase in career education opportunities. Implications regarding curricular changes aimed at STEM education and model adoption are addressed.     

Political Ideology and Perceptions of Social Justice Advocacy Among Members of the American Counseling Association

This study explored perceptions of social justice advocacy among liberal, moderate, and conservative members (N?=?214) of the American Counseling Association (ACA). Results showed that conservative participants had somewhat less favorable perceptions of social justice advocacy, but generally did not differ statistically from liberal and moderate participants. Statistically significant differences, however, were found among extremely liberal participants. All participants generally supported the use of ACA resources for social activism. Implications and limitations are discussed.     

Would you like service with that?

Australia’s higher education policy settings have signalled a shift towards marketisation. As a consequence, Australian universities have become increasingly competitive, and as they seek to compete for students in higher education markets, they begin to resemble commercial organisations. This article examines the challenges confronting the leadership team at one of Australia’s fastest growing universities, Australian Catholic University. Specifically, it seeks to address the development of systems to better service future students in an environment where the University is not aware or accepting of the need for change.     

Student perceptions of personalised learning: development and validation of a questionnaire with regional secondary students

This project sought to evaluate regional students’ perceptions of their readiness to learn, assessment processes, engagement, extent to which their learning is personalised and to relate these to academic efficacy, academic achievement, and student well-being. It also examined teachers’ perceptions of students’ readiness to learn, the assessment process, engagement, and the extent to which students’ learning is personalised. The sample involved students in years 7–10 from six Victorian secondary schools. An instrument Personalised Learning Environment Questionnaire (PLQ) was developed to measure students’ perceptions of the factors effecting the implementation of Personalised Learning Plans (PLPs). It employed the latest scales to assess a range of PLP indicator variables, with all scales modified for use in an Australian context, and the total number of items kept to a minimum. Only scales more sensitive to PLPs were used to minimise the length of the instrument. There were three outcome variables: academic efficacy, academic achievement, and student well-being. The PLPs were assessed through scales that assess several contributing, distinct dimensions: selfdirected learning readiness, personal achievement, goal orientation, learning environment, personalised teaching and learning initiatives, curriculum entitlement and choice, and perceptions of assessment for learning. The trail PLQ was administered to 220 students, resulting in a 19 scale questionnaire with three or four items per scale. This paper reveals good data to model fit for the majority of items and each scale had good reliability. The paper describes the analytic techniques and results, how the instrument was refined and identifies common and uncommon student perceptions based on a post hoc analysis. The main study consisted of 2,407 students from four schools in the Bendigo Education Plan. They responded to this refined 19 scale version of the PLQ that was developed from the trial PLQ. All scales had satisfactory internal consistency reliability.