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Rodafinos, Angelos – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This paper presents some of the issues that academia faces in both the detection of plagiarism and the aftermath. The focus is on the latter, how academics and educational institutions around the world can address the challenges that "follow" the identification of an incident. The scope is to identify the need for and…
Descriptors: Plagiarism, Intervention, Prevention, Higher Education
Santamaría Lancho, Miguel; Hernández, Mauro; Sánchez-Elvira Paniagua, Ángeles; Luzón Encabo, José María; de Jorge-Botana, Guillermo – Journal of Interactive Media in Education, 2018
Formative assessment and personalised feedback are commonly recognised as key factors both for improving students' performance and increasing their motivation and engagement (Gibbs and Simpson, 2005). Currently, in large and massive open online courses (MOOCs), technological solutions to give feedback are often limited to quizzes of different…
Descriptors: Online Courses, Formative Evaluation, Scoring, Feedback (Response)
Karagiannis, Ioannis; Satratzemi, Maya – Education and Information Technologies, 2018
This paper proposes an automatic approach that detects students' learning styles in order to provide adaptive courses in Moodle. This approach is based on students' responses to the ILS and the analysis of their interaction behavior within Moodle by applying a data mining technique. In conjunction to this, an adaptive mechanism that was…
Descriptors: Integrated Learning Systems, Educational Technology, Technology Uses in Education, Cognitive Style
Papasalouros, Andreas; Chatzigiannakou, Maria – International Association for Development of the Information Society, 2018
Automating the production of questions for assessment and self-assessment has become recently an active field of study. The use of Semantic Web technologies has certain advantages over other methods for question generation and thus is one of the most important lines of research for this problem. The aim of this paper is to provide an overview of…
Descriptors: Computer Assisted Testing, Web 2.0 Technologies, Test Format, Multiple Choice Tests
Evers, Katerina; Chen, Sufen – Journal of Educational Computing Research, 2021
This study investigated how learning styles (visual/verbal) and the use of Automatic Speech Recognition (ASR) software affect English as a Second Language adult learners' improvement during a 12-week course focusing on pronunciation. In the control group (n = 28), the teacher corrected and gave feedback on the adult learners' pronunciation;…
Descriptors: Automation, Computer Assisted Instruction, Computer Software, Pronunciation Instruction
Gagliardi, R.; Mauri, M.; Polzonetti, A. – Universal Journal of Educational Research, 2016
This presentation illustrates the framework of processing performance of the faculty of the University of Camerino. The evaluation criteria are explained and the technological structure that allows automatic performance assessment available online anywhere and anytime. The designed framework is usually applied to the performance evaluation of…
Descriptors: Foreign Countries, College Faculty, Evaluation Criteria, Automation
Crane, Erin – Community & Junior College Libraries, 2016
SpringShare LibGuides, and CMS are popular applications within the library community, but the reporting functionality of these tools is minimal. Google Analytics (GA) can enhance usage reporting if integrated with LibGuides CMS. This article outlines various types of site activity to track and describes how to set up GA reporting on the activity.
Descriptors: Community Colleges, College Libraries, Data Analysis, Web Sites
Chien, Shih-Yi James – ProQuest LLC, 2016
Human interaction with automation is a complex process that requires both skilled operators and complex system designs to effectively enhance overall performance. Although automation has successfully managed complex systems throughout the world for over half a century, inappropriate reliance on automation can still occur, such as the recent…
Descriptors: Cultural Influences, Trust (Psychology), Automation, Questionnaires
Tissenbaum, Mike; Kumar, Vishesh; Berland, Matthew – International Educational Data Mining Society, 2016
Research has shown that supporting tinkering and exploration promotes a wide range of STEM related literacies. However, the open-endedness of tinkering environments makes it difficult to know whether learners' exploration is productive or not. This is especially true in museum spaces, where dwell times are short and facilitators lack a history of…
Descriptors: Museums, Exhibits, Behavior, Markov Processes
Halder, Basudev; Mitra, Sucharita; Mitra, Madhuchhanda – International Journal of Web-Based Learning and Teaching Technologies, 2020
This paper illustrates the cloud-based telemonitoring framework that implements healthcare automation system for myocardial infarction (MI) disease classification. For this purpose, the pathological feature of ECG signal such as elevated ST segment, inverted T wave, and pathological Q wave are extracted, and MI disease is detected by the…
Descriptors: Access to Health Care, Automation, Information Storage, Telecommunications
Lee, Cynthia – Computer Assisted Language Learning, 2020
The aim of this article is to reveal the ways in which six 14- to 15-year-old second language (L2) learners, two each of high, mid, and low English proficiency levels were cognitively engaged in writing while using an automated content feedback program known as the Essay Critiquing System 2.0 in three out of five workshops in a Hong Kong secondary…
Descriptors: Adolescents, Automation, Feedback (Response), Computer Assisted Instruction
Wei, Wei; Yue, Kwok-Bun – Information Systems Education Journal, 2017
Concept map (CM) is a theoretically sound yet easy to learn tool and can be effectively used to represent knowledge. Even though many disciplines have adopted CM as a teaching and learning tool to improve learning effectiveness, its application in IS curriculum is sparse. Meaningful learning happens when one iteratively integrates new concepts and…
Descriptors: Concept Mapping, Information Systems, Computer Science Education, Assignments
Prinsloo, Paul – E-Learning and Digital Media, 2017
In the socio-technical imaginary of higher education, algorithmic decision-making offers huge potential, but we also cannot deny the risks and ethical concerns. In fleeing from Frankenstein's monster, there is a real possibility that we will meet Kafka on our path, and not find our way out of the maze of ethical considerations in the nexus between…
Descriptors: Mathematics, Decision Making, Higher Education, Data Collection
Dascalu, Mihai; Allen, Laura K.; McNamara, Danielle S.; Trausan-Matu, Stefan; Crossley, Scott A. – Grantee Submission, 2017
Dialogism provides the grounds for building a comprehensive model of discourse and it is focused on the multiplicity of perspectives (i.e., voices). Dialogism can be present in any type of text, while voices become themes or recurrent topics emerging from the discourse. In this study, we examine the extent that differences between…
Descriptors: Dialogs (Language), Protocol Analysis, Discourse Analysis, Automation
Pirnay-Dummer, Pablo – Technology, Knowledge and Learning, 2015
A local semantic trace is a certain quasi-propositional structure that can still be reconstructed from written content that is incomplete or does not follow a proper grammar. It can also retrace bits of knowledge from text containing only very few words, making the microstructure of these artifacts of knowledge externalization available for…
Descriptors: Semantics, Grammar, Speech, Knowledge Level

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