Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Academic Integrity Education Across the Canadian Higher Education Landscape.

ABSTRACT: The purpose of this article is to understand how academic integrity educational tutorials are administered across Canadian higher education. Results are shared from a survey of publicly funded Canadian higher education institutions (N = 74), including universities (n = 41) and colleges (n = 33), across ten provinces where English is the primary language of instruction. The survey contained 29 items addressing institutional demographic details, as well as academic integrity education questions. Results showed that academic integrity tutorials are inconsistent across Canadian higher education, with further differences evident within the university and college sectors.

Supplementary information

The online version contains supplementary material available at 10.1007/s10805-021-09412-6.

SUBMITTER: Miron J

PROVIDER: S-EPMC8110690 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Academic Integrity Education Across the Canadian Higher Education Landscape.

Miron Jennifer J Eaton Sarah Elaine SE McBreairty Laura L Baig Heba H

Journal of academic ethics 20210511 4

The purpose of this article is to understand how academic integrity educational tutorials are administered across Canadian higher education. Results are shared from a survey of publicly funded Canadian higher education institutions (N = 74), including universities (n = 41) and colleges (n = 33), across ten provinces where English is the primary language of instruction. The survey contained 29 items addressing institutional demographic details, as well as academic integrity e ...[more]

PMID: 33994896

Similar Datasets

Evaluating a pedagogical approach to promoting academic integrity in higher education: An online induction program

Project description:Academic integrity is at the heart of excellent education. However, resources explaining the concept tend to be definition-driven, while using complex language and sometimes even an austere tone designed to discourage students from breaches. This study aims to design and evaluate an online module at a UK University across 2 years, designed to improve students’ understanding of concepts of academic integrity and practice. The module includes a range of interactive resources (e.g., gamified quizzes and e-booklets) and was made available to a large cohort of postgraduate students (448). The study adopts a mixed-methods approach composed of three sequential phases involving first collecting students’ views on existing academic integrity resources (7 students participating in a focus group and 39 competing a questionnaire), then developing a range of new ones based on students’ feedback to form the content of the module, and finally gathering students’ evaluation on the newly created resources (sample size: 361 students). Results illustrate a clear improvement in relation to the accessibility, usefulness and understandability of new resources. Results also highlight a remarkable increase in student confidence levels regarding academic integrity. Students also considered the new module as more appealing and informative. This manuscript offers a good example of a pedagogical approach aimed at promoting academic integrity in an innovative and engaging fashion.

| S-EPMC9581242 | biostudies-literature

Academic achievement prediction in higher education through interpretable modeling.

Project description:Student academic achievement is an important indicator for evaluating the quality of education, especially, the achievement prediction empowers educators in tailoring their instructional approaches, thereby fostering advancements in both student performance and the overall educational quality. However, extracting valuable insights from vast educational data to develop effective strategies for evaluating student performance remains a significant challenge for higher education institutions. Traditional machine learning (ML) algorithms often struggle to clearly delineate the interplay between the factors that influence academic success and the resulting grades. To address these challenges, this paper introduces the XGB-SHAP model, a novel approach for predicting student achievement that combines Extreme Gradient Boosting (XGBoost) with SHapley Additive exPlanations (SHAP). The model was applied to a dataset from a public university in Wuhan, encompassing the academic records of 87 students who were enrolled in a Japanese course between September 2021 and June 2023. The findings indicate the model excels in accuracy, achieving a Mean absolute error (MAE) of approximately 6 and an R-squared value near 0.82, surpassing three other ML models. The model further uncovers how different instructional modes influence the factors that contribute to student achievement. This insight supports the need for a customized approach to feature selection that aligns with the specific characteristics of each teaching mode. Furthermore, the model highlights the importance of incorporating self-directed learning skills into student-related indicators when predicting academic performance.

| S-EPMC11376577 | biostudies-literature

Predicting academic success of autistic students in higher education.

Project description:Laymen summaryWhat is already known about the topic?Autistic youths increasingly enter universities. We know from existing research that autistic students are at risk of dropping out or studying delays. Using machine learning and historical information of students, researchers can predict the academic success of bachelor students. However, we know little about what kind of information can predict whether autistic students will succeed in their studies and how accurate these predictions will be.What does this article add?In this research, we developed predictive models for the academic success of 101 autistic bachelor students. We compared these models to 2,465 students with other health conditions and 25,077 students without health conditions. The research showed that the academic success of autistic students was predictable. Moreover, these predictions were more precise than predictions of the success of students without autism.For the success of the first bachelor year, concerns with aptitude and study choice were the most important predictors. Participation in pre-education and delays at the beginning of autistic students' studies were the most influential predictors for second-year success and delays in the second and final year of their bachelor's program. In addition, academic performance in high school was the strongest predictor for degree completion in 3 years.Implications for practice, research, or policyThese insights can enable universities to develop tailored support for autistic students. Using early warning signals from administrative data, institutions can lower dropout risk and increase degree completion for autistic students.

| S-EPMC10374996 | biostudies-literature

The Education-Immigration Nexus: Situating Canadian Higher Education as Institutions of Immigrant Recruitment.

Project description:A policy shift in the mid-2000s established a pathway between international study and immigration to Canada. Designed to facilitate the settlement of young, highly skilled, and Canadian-trained workers, these pathways are premised on the conception of international students as ideal immigrants. Yet, because higher education institutions enjoy wide latitude when it comes to selecting and admitting international students, this education-immigration nexus has gained scholarly attention and sparked an immigration and settlement debate. What are the implications of having an uncapped temporary foreign worker stream administered by higher education institutions? What are the downstream effects for graduates, employers, and communities as the higher education sector accepts greater numbers of international students every year? What does this mean for the composition of Canadian immigration in the longer term? This paper will highlight the importance and relationship between study, labor market access, and immigration to Canada, consider the roles and responsibilities of higher education institutions in multi-step pathways to immigration, and discuss implications and future strategies which acknowledge the reality of this education-immigration nexus.

| S-EPMC10219792 | biostudies-literature

Does reading anxiety impact on academic achievement in higher education students?

Project description:Poor readers have lower academic achievement and increased anxiety, including reading anxiety, which may perpetuate lower academic achievement. We explored reading anxiety in university students, investigating whether the association between reading ability and academic achievement is mediated by reading anxiety (independent of general anxiety). Participants were students (n = 169, 69% female, age = 20.70) at an Australian university who completed an online reading assessment (decoding skills, phonological awareness, orthographical knowledge and comprehension), and a survey examining reading anxiety, trait anxiety and self-reported reading history. Academic achievement was based on university grades. Two reading anxiety factors (social and non-social) were identified; both factors were distinct from trait anxiety. Reading ability was negatively correlated with reading anxiety and positively correlated with academic achievement. Reading anxiety was not correlated with academic achievement and it did not mediate the relationship between reading ability and academic achievement as expected. As this was the first study to explore reading anxiety in adults, further research is required to determine the impact reading anxiety may have on university students beyond academic achievement.

| S-EPMC10946889 | biostudies-literature

The role of academic electronic books in undergraduate students' achievement in higher education.

Project description:The study objective was to seek the role of utilizing academic electronic books on Ajman University undergraduate students' achievement and faculty members viewpoints about their use. The study participants were 91 students, split into two groups the first group was empirical (46) and the other group was control (45) plus 220 members of the faculty. A performance test and a questionnaire were designed and implemented as tools of study. The results detected significant differences among both the empirical groups and the control groups, for the benefit of the empirical group; and faculty members exhibited highly favorable perspectives on the use of academic electronic books at their university. Faculty members' perceptions varied according to gender, college, and experience teaching, but the academic rank showed no influence.

| S-EPMC7695958 | biostudies-literature

The quizzical failure of a nudge on academic integrity education: a randomized controlled trial.

Project description:BackgroundStudies on academic integrity reveal high rates of plagiarism and cheating among students. We have developed an online teaching tool, Integrity Games ( https://integgame.eu/ ), that uses serious games to teach academic integrity. In this paper, we test the impact of a soft intervention - a short quiz - that was added to the Integrity Games website to increase users' interest in learning about integrity. Based on general principles of behavioral science, our quiz highlighted the intricacy of integrity issues, generated social comparisons, and produced personalized advice. We expected that these interventions would create a need for knowledge and encourage participants to spend more time on the website.MethodsIn a randomized controlled trial involving N = 405 students from Switzerland and France, half of the users had to take a short quiz before playing the serious games, while the other half could directly play the games. We measured how much time they spent playing the games, and, in a post-experimental survey, we measured their desire to learn about integrity issues and their understanding of integrity issues.ResultsContrary to our expectations, the quiz had a negative impact on time spent playing the serious games. Moreover, the quiz did not increase participants' desire to learn about integrity issues or their overall understanding of the topic.ConclusionsOur quiz did not have any measurable impact on curiosity or understanding of integrity issues, and may have had a negative impact on time spent on the Integrity games website. Our results highlight the difficulty of implementing behavioral insights in a real-world setting.Trial registrationThe study was preregistered at https://osf.io/73xty .

| S-EPMC10688455 | biostudies-literature

Academic entrepreneurial engagement for frugal innovation in higher education institutions: a systematic literature review.

Project description:Higher education institutions (HEI) are faced with increasing challenges related to shrinking resources, high operation costs, the COVID-19 pandemic, decreasing student enrolment rates, and pressure to contribute to regional development and economic growth. To overcome such challenges, academics must move beyond their traditional functions of research and teaching and engage in entrepreneurial activities. Through engagement in entrepreneurial activities, academics can contribute to frugal innovation (FI) in private HEI (PHEI). The literature in this context emphasizes that academic entrepreneurial engagement (AEE) will lead to innovation, the identification of opportunities for new business ventures, financial rewards for institutions and academics, an impact on the economy, and the enhancement of social welfare. This study presents a systematic review of the literature and adopts the Transfield five-phase strategy to review the literature on AEE from the past two decades (2000-2020). A total of 1,067 papers on FI are obtained, only five of which focus on AEE. Moreover, papers related to AEE for FI are few. The study presents the research gaps, challenges, and potential factors for further research in this context. We conclude that FI for AEE in PHEI can be a game-changer for future sustainability. Moreover, we believe that the outcome of this review warrants further research.

| S-EPMC10427802 | biostudies-literature

Academic collaboration in Ethiopian Higher Education Institutions: from a senior-junior staff support perspective

Project description:This study examined the level of collaboration between senior and junior academic staff in Higher Education Institutions in the Amhara Regional State, Ethiopia. We employed a convergent parallel mixed research design and collected data from 203 teachers, four department heads, and four academic deans using questionnaires and semi-structured interviews. The researchers also employed frequencies, percentages, mean, standard deviations, independent sample t-test, and one-way analysis on variance to analyze and interpret the quantitative data. The qualitative data on the other hand, was analyzed thematically using reflexive thematic analysis. The results show that the collaboration between senior and junior faculty members is too weak and limited to information exchange and material-sharing practices. The study also shows that independent variables such as gender and level of qualification did not affect senior and junior staff collaboration, while age and teaching experience affected it. We recommend the concerned bodies in higher education institutions to establish a system that entertains a genuine collaborative culture between senior and junior academic staff, following an integrative approach among different groups and considering all the challenges in realizing such an effective collaboration. Academic collaboration; Community service; Higher education institutions; Research; Senior and junior staff; Teaching.

| S-EPMC9803832 | biostudies-literature

Determinants of academic achievement among higher education student found in low resource setting, A systematic review.

Project description:BackgroundAcademic success is a measure of students' ability to attain their educational objectives, often assessed through regular evaluations or examinations. To establish effective policies and programs that align with academic accomplishments, conducting comprehensive data analysis is pivotal. Hence, this systematic review aimed to synthesize the factors impeding the academic achievements of Ethiopian students in higher education.MethodsA comprehensive review was conducted on studies involving Ethiopian university students from 2013 to 2022. The review encompassed 24 papers that were gathered from different databases like PubMed, Google Scholar, African Journals Online, Scopus, and Web of Science.ResultsThe findings of this research revealed that inadequate classroom environments, experiencing dysmenorrhea, and engaging in excessive social media usage were all linked to a decline in academic performance. Conversely, adopting healthy sleep habits, achieving high scores in entrance exams, and avoiding recent substance abuse were all factors positively influencing academic success. In addition, there was a positive correlation between academic excellence and being a health science college student and age range of 20 to 24 years old.ConclusionTo enhance academic performance, it is crucial to address the negative factors identified, such as inadequate classroom environments, dysmenorrhea, and excessive social media usage, while promoting positive factors like healthy sleep habits, high scores in exams, and avoiding substance abuse. Additionally, being a health science college student and belonging to the age range of 20 to 24 were found to be associated with academic excellence.

| S-EPMC10659171 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data