The present study investigated the impact of a utility-value intervention on students' behavioral, cognitive, and emotional engagement. Students assigned to the intervention condition were required to write an essay to connect the course contents with their personal hobbies, interests, or goals three times during the course. The results showed…

In order to address the rising concerns about undergraduates' plagiarism in academic writing practices, a blended learning scenario (a combination of face-to-face learning with online learning) was designed and the effectiveness of it was tested. Results indicated that the students became more capable of distinguishing plagiarism cases in…

Purpose: This study contributes to the current body of literature on students' understanding of academic misconduct, plagiarism, forms of plagiarism, the reasons they plagiarize, the sanctions imposed by academics for plagiarizing and the methods to address plagiarism in written assessments within the Faculty of Natural Sciences, University of…

The purpose of the study was to examine (a) students' social annotation behaviors and engagement change in an undergraduate course throughout the semester, and (b) which social annotation behaviors impact active engagement time. A total of 91 university students' social annotation behaviors, as well as their active engagement time in readings,…

The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different…

The emergence of chatbots and language models, such as ChatGPT has the potential to aid university students' learning experiences. However, despite its potential, ChatGPT is relatively new. There are limited studies that have investigated its usage readiness, and perceived usefulness among students for academic purposes. This study investigated…

This research explores the impact of the unforeseen global crisis on education and assessment practices, investigating plagiarism rates through a comprehensive analysis of 25,864 written assignments from 42 academic institutions in 2019, 2020, and 2023 before, during, and after crises, such as pandemics. Utilising the theory of planned behaviour…

This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…

This study sought to increase awareness of ADHD though the context of a school assignment completed by a student with ADHD. The student (pseudonym Jim) sought opinions of 67 Australian school students with ADHD between 11-16 years to investigate their schooling experiences. Findings revealed that schooling mostly was a positive experience due to…

Previous studies in higher education have found that a considerable number of students do not access feedback. Here, we use assessment system data on nearly 300,000 assignment submissions to statistically analyze demographic and timing factors leading to lower likelihood of feedback collection. The most significant factors were student…

We tested whether a brief self-affirmation writing intervention protected against identity-threats (i.e., stereotyping and discrimination) for adolescents' school-related adjustment. The longitudinal study followed 639 adolescents in Germany (65% of immigrant descent, 50% female, M[subscript age] = 12.35 years, SD[subscript age] = 0.69) from 7th…

Objectives: Automatic assessment systems are widely used to provide rapid feedback for students and reduce grading time. Despite the benefits of increased efficiency and improved pedagogical outcomes, an ongoing challenge is mitigating poor student behaviors when interacting with automatic assessment systems including numerous submissions,…

Massive open online courses (MOOCs) provide numerous open-access learning resources and allow for self-directed learning. The application of big data and artificial intelligence (AI) in MOOCs help comprehend raw educational data and enrich the learning process for students and instructors. Thus, we created two deep neural network models. The first…

Misunderstandings about how the academic world operates are common among international students. This research investigated international students' understandings of academic regulations. Qualitative content analysis of 3,438 email messages indicate international students used a constellation of arguments to make academic requests/complaints to…

Purpose: This study aims to investigate attitudes toward cheating among business students at a private university in Kenya and examine if a significant difference exists in cheating perceptions among students who have completed one or two ethics courses, and those who have done none. Design/methodology/approach: A total of 554 undergraduate…