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Maertens, Rien; Van Petegem, Charlotte; Strijbol, Niko; Baeyens, Toon; Jacobs, Arne Carla; Dawyndt, Peter; Mesuere, Bart – Journal of Computer Assisted Learning, 2022
Background: Learning to code is increasingly embedded in secondary and higher education curricula, where solving programming exercises plays an important role in the learning process and in formative and summative assessment. Unfortunately, students admit that copying code from each other is a common practice and teachers indicate they rarely use…
Descriptors: Plagiarism, Benchmarking, Coding, Computer Science Education
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Zviel-Girshin, Rina; Kuhn, Tanara Zingano; Luís, Ana R.; Koppel, Kristina; Todorovic, Branislava Šandrih; Holdt, Špela Arhar; Tiberius, Carole; Kosem, Iztok – Research-publishing.net, 2021
Despite the unquestionable academic interest on corpus-based approaches to language education, the use of corpora by teachers in their everyday practice is still not very widespread. One way to promote usage of corpora in language teaching is by making pedagogically appropriate corpora, labelled with different types of problems (for instance,…
Descriptors: Teaching Methods, Computational Linguistics, Computer Assisted Instruction, Second Language Learning
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Aydin, Gökhan; Duran, Volkan; Mertol, Hüseyin – International Journal of Curriculum and Instruction, 2021
This study aims to develop a computer program for the identification key to insect orders (Arthropoda: Hexapoda) and to investigate its effectiveness as teaching material. Secondly, this study is aiming at whether this program improves students' computational thinking skills or not longitudinal quasi-experimental design. Firstly, the study is…
Descriptors: Computer Software, Identification, Entomology, Computation
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Oh, Eun Young; Song, Donggil – Educational Technology Research and Development, 2021
This developmental research aims to (1) examine the design and developmental process, (2) investigate the nature and structure of the application, and (3) analyze the results of expert reviews and usability tests. Twenty-five participants, including a developer, an instructional designer, Korean language educators, educational technology…
Descriptors: Computational Linguistics, Identification, Audio Equipment, Man Machine Systems
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Schneider, J.; Börner, D.; van Rosmalen, P.; Specht, M. – Journal of Computer Assisted Learning, 2017
The ability to present effectively is essential for professionals; therefore, oral communication courses have become part of the curricula for higher education studies. However, speaking in public is still a challenge for many graduates. To tackle this problem, driven by the recent advances in computer vision techniques and prosody analysis,…
Descriptors: Nonverbal Communication, Feedback (Response), Semi Structured Interviews, Public Speaking
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Aguilar, Jose; Cordero, Jorge; Buendía, Omar – Journal of Educational Computing Research, 2018
In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…
Descriptors: Data Analysis, Learning Processes, Decision Making, Instructional Improvement
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Ansari, Fazel; Hold, Philipp; Mayrhofer, Walter; Schlund, Sebastian; Sihn, Wilfried – International Association for Development of the Information Society, 2018
This paper explores the concept of mutual (reciprocal) learning as an enabler of the emergence of a collective human-machine intelligence across a smart factory. The interlinking of digital profiles of humans and machines permits the identification and measurement of learning outcomes through participating in and performing of (shared) tasks. To…
Descriptors: Measurement, Identification, Outcomes of Education, Artificial Intelligence
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Yelamarthi, Kumar – Journal of STEM Education: Innovations and Research, 2012
Multidisciplinary projects involving electrical engineering (EE), mechanical engineering (ME), and computer engineering (CE) students are both exciting and difficult to conceptualize. Answering this challenge, this paper presents a multidisciplinary educational platform on radio frequency identification-based assistive devices. The combination of…
Descriptors: Computer Assisted Instruction, Educational Technology, Assistive Technology, Engineering
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Amaral, Luiz A.; Meurers, W. Detmar – CALICO Journal, 2009
Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…
Descriptors: Grammar, Computer Assisted Instruction, Identification, Error Analysis (Language)
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Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
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Cohen, Steve; And Others – Journal of Educational and Behavioral Statistics, 1996
A detailed multisite evaluation of instructional software, the ConStatS package, designed to help students conceptualize introductory probability and statistics, yielded patterns of error on several assessment items. Results from 739 college students demonstrated 10 misconceptions that may be among the most difficult concepts to teach. (SLD)
Descriptors: College Students, Computer Assisted Instruction, Computer Software Evaluation, Educational Assessment
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Tait, H.; Entwistle, N. – Higher Education, 1996
Development of a computerized questionnaire and inventory designed to identify college students with weak or ineffective study skills is described. The instruments are part of a computer software package being developed to support students and faculty in improving study skills. The rationale under which students are advised in the program is also…
Descriptors: College Students, Computer Assisted Instruction, Computer Software Development, High Risk Students
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Mostow, Jack; Aist, Greg; Burkhead, Paul; Corbett, Albert; Cuneo, Andrew; Eitelman, Susan; Huang, Cathy; Junker, Brian; Sklar, Mary Beth; Tobin, Brian – Journal of Educational Computing Research, 2003
A year-long study of 131 second and third graders in 12 classrooms compared three daily 20-minute treatments. a) Fifty-eight students in six classrooms used the 1999-2000 version of Project LISTEN's Reading Tutor, a computer program that uses automated speech recognition to listen to a child read aloud, and gives spoken and graphical assistance.…
Descriptors: Computer Assisted Instruction, Identification, Computer Software, Tutors
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