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Richard Fendler; David Beard; Jonathan Godbey – Electronic Journal of e-Learning, 2024
The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning,…
Descriptors: Cheating, Computer Assisted Testing, Supervision, Student Behavior
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Shoaib, Muhammad; Sayed, Nasir; Amara, Nedra; Latif, Abdul; Azam, Sikandar; Muhammad, Sajjad – Education and Information Technologies, 2022
Technology and data analysis have evolved into a resource-rich tool for collecting, researching and comparing student achievement levels in the classroom. There are sufficient resources to discover student success through data analysis by routinely collecting extensive data on student behaviour and curriculum structure. Educational Data Mining…
Descriptors: Prediction, Artificial Intelligence, Student Behavior, Academic Achievement
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Zachary K. Collier; Joshua Sukumar; Roghayeh Barmaki – Practical Assessment, Research & Evaluation, 2024
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…
Descriptors: Educational Indicators, School Statistics, Data Analysis, Information Retrieval
Eric J. Anderson – ProQuest LLC, 2022
In this dissertation, I describe patterns of educational placement for students with disabilities, test the degree to which placement is impacted by student and school variables, and offer practical guidance for how schools can promote the principle of least restrictive environment (LRE) to promote access to general education classrooms to the…
Descriptors: Student Placement, Disability Identification, Students with Disabilities, Predictor Variables
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Wonsun Ryu; Lauren Schudde; Kimberly Pack-Cosme – American Educational Research Journal, 2024
Dual enrollment (DE)--where students earn college credits during high school--is expanding rapidly. To facilitate DE, institutional actors across K-12 schools and colleges must build or repurpose structures across separate organizations to determine course offerings, assignments, modality, and composition. Yet the organization and implications of…
Descriptors: Dual Enrollment, College Credits, Public Schools, High School Students
Cronjé, Johannes – National Institute for Learning Outcomes Assessment, 2018
The question driving this paper is: "What should we assess if learners can Google the answers on their mobile devices?" If "Learning" is defined as "being able to do something afterwards that you could not do before," the problem is that technology now enables us to do many things which we were not able to do before,…
Descriptors: Educational Environment, 21st Century Skills, Influence of Technology, Assessment Literacy
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Alinaghi, Tannaz; Bahreininejad, Ardeshir – International Journal of Distance Education Technologies, 2011
The increasing advances of new Internet technologies in all application domains have changed life styles and interactions. E-learning and collaborative learning environment systems are originated through such changes and aim at providing facilities for people in different times and geographical locations to cooperate, collaborate, learn and work…
Descriptors: Electronic Learning, Educational Environment, Questioning Techniques, Responses
Dessoff, Alan – District Administration, 2009
It's no surprise that school districts are as vulnerable to fraud as the private sector or any other segment of government. Crimes in districts include collusion with outside vendors who provide kickbacks to employees, misuse of district-issued credit cards, embezzlement of district funds, and theft of district property. "Fraud happens…
Descriptors: School Districts, Deception, Antisocial Behavior, Crime
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Chang, Chih-Kai; Chen, Gwo-Dong; Wang, Chin-Yeh – Behaviour & Information Technology, 2011
Functional roles may explain the learning performance of groups. Detecting a functional role is critical for promoting group learning performance in computer-supported collaborative learning environments. However, it is not easy for teachers to identify the functional roles played by students in a web-based learning group, or the relationship…
Descriptors: Foreign Countries, Elementary School Teachers, Middle School Teachers, Group Dynamics
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Sharma, Richa – International Journal on E-Learning, 2011
Building intelligent course designing systems adaptable to the learners' needs is one of the key goals of research in e-learning. This goal is all the more crucial as gaining knowledge in an e-learning environment depends solely on computer mediated interaction within the learner group and among the learners and instructors. The patterns generated…
Descriptors: Electronic Learning, Educational Environment, Instructional Design, Student Needs
Fowler, Deborah – Phi Delta Kappan, 2011
Unsupported fears of youth violence in schools has led to an expansion of school-based policing and zero tolerance discipline. The historical reality is that America's public schools are very safe, even when located in high crime neighborhoods. Yet, school discipline is becoming increasingly punitive, moving from the schoolhouse to the courthouse.…
Descriptors: Discipline Policy, School Policy, Zero Tolerance Policy, Violence
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Li, Qing; Zhao, Jianmin; Zhu, Xinzhong – International Journal of Distance Education Technologies, 2009
Supporting efficient data access in the mobile learning environment is becoming a hot research problem in recent years, and the problem becomes tougher when the clients are using light-weight mobile devices such as cell phones whose limited storage space prevents the clients from holding a large cache. A practical solution is to store the cache…
Descriptors: Electronic Learning, Research Problems, Statistical Data, Statistical Inference
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Wilson, Scott – Interactive Learning Environments, 2008
The use of design patterns is now well established as an approach within the field of software systems as well as within the field of architecture. An initial effort was made to harness patterns as a tool for elaborating the design of the elements of personal learning environments as part of the University of Bolton's Personal Learning Environment…
Descriptors: Pattern Recognition, Educational Environment, Patternmaking, Cybernetics
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Villaverde, J. E.; Godoy, D.; Amandi, A. – Journal of Computer Assisted Learning, 2006
People have unique ways of learning, which may greatly affect the learning process and, therefore, its outcome. In order to be effective, e-learning systems should be capable of adapting the content of courses to the individual characteristics of students. In this regard, some educational systems have proposed the use of questionnaires for…
Descriptors: Cognitive Style, Computer Assisted Instruction, Web Based Instruction, Student Characteristics
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Roberts, Jay W. – Journal of Experiential Education, 2002
Principles of brain-based learning, including pattern and meaning making, parallel processing, and the role of stress and threat, are explained, along with their connections to longstanding practices of experiential education. The Brain Compatible Approach is one avenue for clarifying to mainstream educators how and why experiential methods are…
Descriptors: Brain, Cognitive Processes, Educational Environment, Educational Trends
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