NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 136 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Takayuki Goto – Journal of Experimental Education, 2024
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…
Descriptors: Intervention, Learner Engagement, Assignments, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Flom, Jacalyn; Green, Karen; Wallace, Steven – Active Learning in Higher Education, 2023
Cheating in higher education has numerous negative implications, including degrading program reputations, inflating student retention rates, and cultivating poor ethical practices, all of which have implications for what students do in the workplace after graduation. Therefore, by understanding the current student population, Generation Z, it is…
Descriptors: Cheating, Ethics, Student Behavior, Age Groups
Jeaneen S. Canfield – ProQuest LLC, 2021
As we know and understand, reading and writing can be digital or material, and these literacy practices occur in complex layers of information intake and production. Much of writing scholarship explores and argues for an expanded and nuanced definitions of "literacy" and "embodiment." Such understandings require us to consider…
Descriptors: Writing Instruction, Cartography, Maps, Assignments
Peer reviewed Peer reviewed
Direct linkDirect link
Shrader, Charles B.; Ravenscroft, Sue Pickard; Kaufmann, Jeffrey B.; Hansen, Kyle – Decision Sciences Journal of Innovative Education, 2021
Although classroom cheating violates academic standards of behavior, it occurs frequently. Although the research on cheating is extensive, few researchers have interviewed students directly involved in cheating behaviors. We explore interview responses gathered from a cohort of graduate accounting students, some of whom colluded on an assignment,…
Descriptors: Graduate Students, Accounting, Student Attitudes, Cheating
Jenna M. T. Vest – ProQuest LLC, 2024
This study focuses on creating a reliable and valid instrument to measure high school students' perceptions of academic challenge. The research is divided into four phases: qualitative analysis, item development, exploratory factor analysis (EFA), and validation. Initial data from college students' retrospective views and high school students'…
Descriptors: Test Construction, Test Validity, Student Attitudes, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Yovav Eshet – Education and Information Technologies, 2024
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…
Descriptors: Plagiarism, Integrity, Ethics, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Donnie Adams; Kee-Man Chuah; Edward Devadason; Muhammad Shamshinor Abdul Azzis – Education and Information Technologies, 2024
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…
Descriptors: Foreign Countries, College Students, Student Behavior, Help Seeking
Peer reviewed Peer reviewed
Direct linkDirect link
Garg, Anchal; Rajendran, Ramkumar – Education and Information Technologies, 2023
Procrastination is one of the issues affecting more than half of the student population and is known to impact them negatively. It is also one of the major reasons for failure and dropout. Therefore, several studies have been conducted in this domain to understand when and why students procrastinate. The existing studies use self-reported…
Descriptors: Behavior Patterns, Time Management, Web Sites, Editing
Peer reviewed Peer reviewed
Direct linkDirect link
Tim M. Benning – Active Learning in Higher Education, 2024
Reducing free-riding is an important challenge for educators who use group projects. In this study, we measure students' preferences for group project characteristics and investigate if characteristics that better help to reduce free-riding become more important for students when stakes increase. We used a discrete choice experiment based on 12…
Descriptors: Group Dynamics, Group Activities, Student Participation, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
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…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Peer reviewed Peer reviewed
Direct linkDirect link
Kathy Gibbs; Lukas Barker; Leah Le – Australian Journal of Learning Difficulties, 2023
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…
Descriptors: Assignments, Attention Deficit Hyperactivity Disorder, Adolescents, Student Experience
Peer reviewed Peer reviewed
Direct linkDirect link
Colette Christiansen; Carol Calvert; Clare Morris – Educational Researcher, 2024
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…
Descriptors: Influences, Student Behavior, Feedback (Response), Undergraduate Students
Michael Fienberg – ProQuest LLC, 2024
Secondary course assignment substantially determines a teacher's day-to-day work life, incentivizing them to realize their personal desires, which prior work shows tend to be working with more advanced students. Teachers have varying abilities to enact these desires, potentially due to their political capital, which is largely influenced by…
Descriptors: Secondary School Teachers, Assignments, Faculty Mobility, Leadership
Peer reviewed Peer reviewed
Direct linkDirect link
Daradoumis, Thanasis; Marquès Puig, Joan Manuel; Arguedas, Marta; Calvet Liñan, Laura – Educational Technology Research and Development, 2021
Recent research has shown a great interest in supporting self-regulated learning (SRL) strategies in online learning. However, there is hardly any study that has investigated how students' self-regulation of behavior could be promoted in online environments for programming learning and assessment, despite the proliferation of automated programming…
Descriptors: Self Management, Student Behavior, Online Courses, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Madison A. Pollino; Elliot A. Powell; Melissa L. McCormick – Communication Teacher, 2025
This article offers a semester-long approach to using generative AI in the public-speaking course. Using critical communication pedagogy, the authors provide practices to navigate the turbulence that has followed the emergence of publicly available generative AI tools. These tools have received negative attention because of their potential to…
Descriptors: Artificial Intelligence, Natural Language Processing, Public Speaking, Technology Uses in Education
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10