The academic value of internships: benefits across disciplines and student backgrounds

While student benefits from internship experience have been frequently documented in research, the emphasis has been on internship effects on employment and career indicators. This work is concerned with effects on academic outcomes and focuses on the robustness of such effects across academic disciplines as well as for different achievement levels of students, student gender, and ethnicity. We present findings from a longitudinal sample (n > 15,000) that covers an extensive range of subjects and disciplines for large Undergraduate cohorts. Main effects and interactions for student background characteristics were investigated showing stable academic benefits for advantaged and disadvantaged students. Further, using ordinal logistic multi-level modelling, we explored the impact on the probability of attaining a higher degree classification for different student scenarios, thus illustrating the practical significance of these internship effects. Effects are less likely to stem from maturation or self-selection. Findings are therefore discussed against a background of motivational approaches suitable to integrate both direct and indirect paths from internship experience to academic outcomes to career indicators

A Multi-Gene Genetic Programming Application for Predicting Students Failure at School

Several efforts to predict student failure rate (SFR) at school accurately still remains a core problem area faced by many in the educational sector. The procedure for forecasting SFR are rigid and most often times require data scaling or conversion into binary form such as is the case of the logistic model which may lead to lose of information and effect size attenuation. Also, the high number of factors, incomplete and unbalanced dataset, and black boxing issues as in Artificial Neural Networks and Fuzzy logic systems exposes the need for more efficient tools. Currently the application of Genetic Programming (GP) holds great promises and has produced tremendous positive results in different sectors. In this regard, this study developed GPSFARPS, a software application to provide a robust solution to the prediction of SFR using an evolutionary algorithm known as multi-gene genetic programming. The approach is validated by feeding a testing data set to the evolved GP models. Result obtained from GPSFARPS simulations show its unique ability to evolve a suitable failure rate expression with a fast convergence at 30 generations from a maximum specified generation of 500. The multi-gene system was also able to minimize the evolved model expression and accurately predict student failure rate using a subset of the original expressionComment: 14 pages, 9 figures, Journal paper. arXiv admin note: text overlap with arXiv:1403.0623 by other author

Unmotivated or motivated to fail? A cross-cultural study of achievement motivation, fear of failure, and student disengagement

A classic distinction in the literature on achievement and motivation is between fear of failure and success orientations. From the perspective of self-worth theory, these motives are not bipolar constructs but dimensions that interact in ways that make

Unmotivated or motivated to fail? A cross-cultural study of achievement motivation, fear of failure, and student disengagement

A classic distinction in the literature on achievement and motivation is between fear of failure and success orientations. From the perspective of self-worth theory, these motives are not bipolar constructs but dimensions that interact in ways that make some students particularly vulnerable to underachievement and disengagement from school. The current study employs the quadripolar model of need achievement (Covington, 1992; Covington & Omelich, 1988) to explore how these approach and avoidance orientations are related to self-handicapping, defensive pessimism, and helplessness in Eastern and Western settings. Although there have been numerous calls for research of this kind across cultures (Elliott & Bempechat, 2002; Jose & Kilburg, 2007; Pintrich, 2003), little exists in the field to date. In Study 1, with 1,423 Japanese high school students, helplessness and self-handicapping were found to be highest when students were low in success orientation and high in fear of failure. These findings were replicated in Study 2 with 643 Australian students and extended to measures of truancy, disengagement, and self-reported academic achievement. Consistent with self-worth theory, success orientation largely moderated the relationship between fear of failure and academic engagement in both cultures. These results suggest that in the absence of firm achievement goals, fear of failure is associated with a range of maladaptive self-protective strategies. The current project thus represents a unique application of self-worth theory to achievement dynamics and clarifies substantive issues relevant to self-handicapping and disengagement across cultures

The engagement of mature distance students

This is an Accepted Manuscript of an article published by Taylor & Francis in Higher Education Research and Development in 2013, available online: http://www.tandfonline.com/10.1080/07294360.2013.777036.Publishe

The Role of End-of-Course Exams and Minimum Competency Exams in Standards-Based Reforms

[Excerpt] Educational reformers and most of the American public believe that most teachers ask too little of their pupils. These low expectations, they believe, result in watered down curricula and a tolerance of mediocre teaching and inappropriate student behavior. The result is that the prophecy of low achievement becomes self-fulfilling. Although research has shown that learning gains are substantially larger when students take more demanding courses2, only a minority of students enroll in these courses. There are several reasons for this. Guidance counselors in many schools allow only a select few into the most challenging courses. While most schools give students and parents the authority to overturn counselor recommendations, many families are unaware they have that power or are intimidated by the counselor’s prediction of failure in the tougher class. As one student put it: “African-American parents, they settle for less, not knowing they can get more for their students.

Family Environment Variables as Predictors of School Absenteeism Severity at Multiple Levels: Ensemble and Classification and Regression Tree Analysis

School attendance problems, including school absenteeism, are common to many students worldwide, and frameworks to better understand these heterogeneous students include multiple classes or tiers of intertwined risk factors as well as interventions. Recent studies have thus examined risk factors at varying levels of absenteeism severity to demarcate distinctions among these tiers. Prior studies in this regard have focused more on demographic and academic variables and less on family environment risk factors that are endemic to this population. The present study utilized ensemble and classification and regression tree analysis to identify potential family environment risk factors among youth (i.e., children and adolescents) at different levels of school absenteeism severity (i.e., 1 + %, 3 + %, 5 + %, 10 + %). Higher levels of absenteeism were also examined on an exploratory basis. Participants included 341 youth aged 5–17 years (M = 12.2; SD = 3.3) and their families from an outpatient therapy clinic (68.3%) and community (31.7%) setting, the latter from a family court and truancy diversion program cohort. Family environment risk factors tended to be more circumscribed and informative at higher levels of absenteeism, with greater diversity at lower levels. Higher levels of absenteeism appear more closely related to lower achievement orientation, active-recreational orientation, cohesion, and expressiveness, though several nuanced results were found as well. Absenteeism severity levels of 10–15% may be associated more with qualitative changes in family functioning. These data may support a Tier 2-Tier 3 distinction in this regard and may indicate the need for specific family-based intervention goals at higher levels of absenteeism severity

Using Shared Workspaces in Higher Education

We evaluate the use of BSCW shared workspaces in higher education by means of a comparison of seven courses in which this environment was used. We identify a number of different functions for which the BSCW environment has been used and discuss the relative success of these functions across the cases. In addition, we evaluate the cases with the 4E model of Collis et al. (2000) which predicts the chances of acceptance of ICT in an educational setting. Effectiveness for the given task appears to be a prime success factor for using ICT. But an effective tool may fail due to other factors like ease of use and organisational, socialcultural or technological obstacles. The particular strength of a shared workspace, for which BSCW is most effective and efficient, is providing a repository for objects of collaborative work. Other types of usage showed mixed results. In the future we expect that learning takes place in an integrated, open ICT environment in which different kinds of tools are available for different purposes and users can switch between tools as appropriate. We could observe this in several of the case studies, where non-use of BSCW did not mean that a particular task was not performed, but, on the contrary, a more efficient solution for the same function was available. Shared workspaces have proven to be highly useful, but it seems advisable that their purpose be limited to what they were originally designed for

Early Developmental Activities and Computing Proficiency

As countries adopt computing education for all pupils from primary school upwards, there are challenging indicators: significant proportions of students who choose to study computing at universities fail the introductory courses, and the evidence for links between formal education outcomes and success in CS is limited. Yet, as we know, some students succeed without prior computing experience. Why is this? <br/><br/> Some argue for an innate ability, some for motivation, some for the discrepancies between the expectations of instructors and students, and some – simply – for how programming is being taught. All agree that becoming proficient in computing is not easy. Our research takes a novel view on the problem and argues that some of that success is influenced by early childhood experiences outside formal education. <br/><br/> In this study, we analyzed over 1300 responses to a multi-institutional and multi-national survey that we developed. The survey captures enjoyment of early developmental activities such as childhood toys, games and pastimes between the ages 0 — 8 as well as later life experiences with computing. We identify unifying features of the computing experiences in later life, and attempt to link these computing experiences to the childhood activities. <br/><br/> The analysis indicates that computing proficiency should be seen from multiple viewpoints, including both skill-level and confidence. It shows that particular early childhood experiences are linked to parts of computing proficiency, namely those related to confidence with problem solving using computing technology. These are essential building blocks for more complex use. We recognize issues in the experimental design that may prevent our data showing a link between early activities and more complex computing skills, and suggest adjustments. Ultimately, it is hoped that this line of research will feed in to early years and primary education, and thereby improve computing education for all

The Causal Effect of Campus Residency on College Student Retention

Despite theoretical evidence positing a positive relationship between campus residency and collegiate outcomes, prior research has not established a causal link. Utilizing propensity score matching and national longitudinal data, this study investigates whether living in university-owned housing impacts retention. The results suggest that the impact of living on campus is not negligible: the probability of remaining enrolled into the second year of college is 3.3 percentage points higher for on-campus residents than off-campus residents. Colleges should consider evaluating the impact of their campus housing programs on academic outcomes to inform important housing policy decisionsEducational Leadership and Polic