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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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Korepanova, Antonina; Pata, Kai – International Association for Development of the Information Society, 2023
Art education holds immense value, presenting students with complex problems and diverse solutions. While general art education has received attention from researchers, higher visual art education remains an under-discussed topic. This article aims to address this gap by examining the diversity of pattern elements that art teachers employ during…
Descriptors: Higher Education, Art Education, Visual Arts, Instructional Design
Amy Faulkner Land – ProQuest LLC, 2024
With the increase of technology in day-to-day lives, online college education is sweeping the nation as numbers of students enrolling online is consistently on the rise. Unfortunately, because of the nature of open enrollment at the community college level, students often enroll without necessary skills to be successful at the college level,…
Descriptors: Electronic Learning, Developmental Studies Programs, English, General Education
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Langerbein, Janine; Massing, Till; Klenke, Jens; Striewe, Michael; Goedicke, Michael; Hanck, Christoph – International Educational Data Mining Society, 2023
Due to the precautionary measures during the COVID-19 pandemic many universities offered unproctored take-home exams. We propose methods to detect potential collusion between students and apply our approach on event log data from take-home exams during the pandemic. We find groups of students with suspiciously similar exams. In addition, we…
Descriptors: Information Retrieval, Pattern Recognition, Data Analysis, Information Technology
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Kelsey S. Bitting; Katherine Ryker; Rachel Teasdale – Journal of Geoscience Education, 2024
Triggered situational interest in introductory courses can encourage student engagement, motivation, and value for the geosciences. In-person labs have traditionally played a unique role in triggering situational interest compared to lectures, but the COVID transition online disrupted these dynamics. We examine students' self-reported situational…
Descriptors: Measurement Techniques, Student Interests, Electronic Learning, Introductory Courses
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Lazar Živojinovic; Danijela Stojanovic; Aleksandra Labus; Zorica Bogdanovic; Marijana Despotovic-Zrakic – Interactive Learning Environments, 2024
This research proposes a methodological approach to using the social network Instagram® as a tool for collaborative e-learning activities in higher education. Collaborative e-learning activities are conducted on Instagram® through challenges and quizzes. The main aim of these activities is to encourage students' creativity, motivation for…
Descriptors: Social Media, Cooperative Learning, Social Networks, Learning Activities
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Ming, Norma C.; Ming, Vivienne L. – Technology, Instruction, Cognition and Learning, 2015
We present a method to help faculty assess and visualize conceptual knowledge by applying topic modeling to unstructured student writing from online class discussion forums. To validate the technique against conventional assessment metrics, we evaluated its accuracy in predicting final grades in introductory undergraduate biology and graduate…
Descriptors: Knowledge Level, Student Evaluation, Writing (Composition), Online Courses
Fatahi, Somayeh; Moradi, Hadi; Farmad, Elaheh – International Association for Development of the Information Society, 2015
Learning Style (LS) is an important parameter in the learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments. Consequently, an important capability of an e-learning system could be the automatic determination of a student's learning style. In this paper, a set of…
Descriptors: Foreign Countries, Cognitive Style, Electronic Learning, Student Behavior
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Valsamidis, Stavros; Kontogiannis, Sotirios; Kazanidis, Ioannis; Theodosiou, Theodosios; Karakos, Alexandros – Educational Technology & Society, 2012
Learning Management Systems (LMS) collect large amounts of data. Data mining techniques can be applied to analyse their web data log files. The instructors may use this data for assessing and measuring their courses. In this respect, we have proposed a methodology for analysing LMS courses and students' activity. This methodology uses a Markov…
Descriptors: Foreign Countries, Electronic Learning, College Mathematics, Integrated Learning Systems
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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
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Huang, Shiu-Li; Shiu, Jung-Hung – Educational Technology & Society, 2012
The success of Web 2.0 inspires e-learning to evolve into e-learning 2.0, which exploits collective intelligence to achieve user-centric learning. However, searching for suitable learning paths and content for achieving a learning goal is time consuming and troublesome on e-learning 2.0 platforms. Therefore, introducing formal learning in these…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Computer System Design, Computer Science Education
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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
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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
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers