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Oscar Karnalim; Hapnes Toba; Meliana Christianti Johan – Education and Information Technologies, 2024
Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…
Descriptors: Artificial Intelligence, Academic Achievement, Integrity, Introductory Courses
Cheers, Hayden; Lin, Yuqing; Yan, Weigen – Informatics in Education, 2023
Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…
Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education
Smiley, Sarah L. – Journal of Geography, 2017
The reality show "The Amazing Race" serves as a useful text for the cultural geography classroom. As competitors travel the world, they complete challenging tasks designed to be both educational and entertaining. Audiences see actual images from destinations around the world and learn about the unique cultures of these places. They also…
Descriptors: Human Geography, Geography Instruction, Programming (Broadcast), Television
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Hammond, Rachel K.; Campbell, Jonathan M.; Ruble, Lisa A. – Exceptionality, 2013
The Response to Intervention (RTI) framework, a preventive model of universal screening, tiered interventions, and ongoing progress monitoring, poses an interesting consideration for identification and service delivery for children with autism spectrum disorders (ASD). Upon examination of the existing literature, paucity exists regarding how RTI…
Descriptors: Identification, Evidence, Autism, Response to Intervention
Le, Nguyen-Thinh; Menzel, Wolfgang – International Journal of Artificial Intelligence in Education, 2009
In this paper, we introduce logic programming as a domain that exhibits some characteristics of being ill-defined. In order to diagnose student errors in such a domain, we need a means to hypothesise the student's intention, that is the strategy underlying her solution. This is achieved by weighting constraints, so that hypotheses about solution…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Programming, Models
Jubas, Kaela; Knutson, Patricia – Studies in the Education of Adults, 2012
This article discusses initial findings from a study exploring the pedagogical functions of popular culture. The study was framed by a neo-Gramscian theoretical framework which connects adult education and cultural studies, and asserts that culture underpins important informal adult learning. We used two television shows, "Grey's…
Descriptors: Foreign Countries, Nursing Students, Medical Students, Student Attitudes
Pierson, Eric E.; Kilmer, Lydia M.; Rothlisberg, Barbara A.; McIntosh, David E. – Journal of Psychoeducational Assessment, 2012
Schools often administer brief intelligence tests as the first step in the identification of students who are cognitively gifted. However, brief measures are often used without consideration of underlying constructs or the psychometric properties of the measures and without regard to the links between screening decisions and educational…
Descriptors: Intelligence, Gifted, Intelligence Tests, Identification
Fredette, Michelle – Campus Technology, 2011
To meet the expectations of today's tech-savvy students, colleges and universities are looking for ways to speed up their processes and provide better services for their No. 1 customer. They have turned to technology to simplify processes, reduce costs, and meet the high expectations of a technically literate student body. In this article, the…
Descriptors: Student Development, Literacy, Technology Uses in Education, Higher Education