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Pasty Asamoah; John Serbe Marfo; Matilda Kokui Owusu-Bio; Daniel Zokpe – Education and Information Technologies, 2024
In this brief we shift the current academic integrity conversation from "detecting and preventing plagiarism" to "examining how plagiarized contents can be corrected with an objective knowledge of the number of words to modify and properly acknowledged". We proposed a simple, yet useful and powerful mathematical model that is…
Descriptors: Error Correction, Plagiarism, Integrity, Prevention
Ka-Yan Fung; Kit-Yi Tang; Tze Leung Rick Lui; Kuen-Fung Sin; Lik-Hang Lee; Huamin Qu; Shenghui Song – IEEE Transactions on Learning Technologies, 2024
Prescreening children for specific learning disabilities, e.g., dyslexia, is essential for effective intervention. With a quick and reliable prescreening result, special education coordinators (SENCOs) can provide students with early intervention and relieve their learning pressure. Unfortunately, due to the limited resources, many students in…
Descriptors: Dyslexia, Children, Computer Software, Early Intervention
Ochieng, Dunlop – Journal of Learning and Teaching in Digital Age, 2019
Education sector has embraced and increasingly use digital technologies to address its longstanding challenges. However, considering that every technology has its limitations, I evaluated the progress of citation and reference technologies in solving the chronic problem of plagiarism in academic writing. In this pursuit, I confirmed with several…
Descriptors: Educational Technology, Citations (References), Plagiarism, Error Patterns
Steven Moore; John Stamper; Norman Bier; Mary Jean Blink – Grantee Submission, 2020
In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…
Descriptors: Learning Analytics, Educational Improvement, Classification, Learning Processes
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
Cangoz, Banu; Altun, Arif; Olkun, Sinan; Kacar, Funda – Turkish Online Journal of Educational Technology - TOJET, 2013
Mathematical skills are becoming increasingly critical for achieving academic and professional success. Developmental dyscalculia (DD) is a childhood-onset disorder characterized by the presence of abnormalities in the acquisition of arithmetic skills affecting approximately 5% of school age children. Diagnosing students with possible dyscalculia…
Descriptors: Mathematics Skills, Learning Disabilities, Identification, Arithmetic
Lachance, Russ; Biaglow, Andrew – PRIMUS, 2012
This article examines the symbolic algebraic solution of the titration equations for a diprotic acid, as obtained using "Mathematica," "Maple," and "Mathcad." The equilibrium and conservation equations are solved symbolically by the programs to eliminate the approximations that normally would be performed by the student. Of the three programs,…
Descriptors: Equations (Mathematics), Algebra, Programs, Computation
Hwang, Gwo-Jen; Chu, Hui-Chun; Lin, Yu-Shih; Tsai, Chin-Chung – Computers & Education, 2011
Previous studies have reported the importance and benefits of situating students in a real-world learning environment with access to digital-world resources. At the same time, researchers have indicated the need to develop learning guidance mechanisms or tools for assisting students to learn in such a complex learning scenario. In this study, a…
Descriptors: Experimental Groups, Control Groups, Natural Sciences, Grade 5
Bantum, Erin O'Carroll; Owen, Jason E. – Psychological Assessment, 2009
Psychological interventions provide linguistic data that are particularly useful for testing mechanisms of action and improving intervention methodologies. For this study, emotional expression in an Internet-based intervention for women with breast cancer (n = 63) was analyzed via rater coding and 2 computerized coding methods (Linguistic Inquiry…
Descriptors: Intervention, Computational Linguistics, Cancer, Validity
Ghauth, Khairil Imran; Abdullah, Nor Aniza – Australasian Journal of Educational Technology, 2010
A recommender system is a piece of software that helps users to identify the most interesting and relevant learning items from a large number of items. Recommender systems may be based on collaborative filtering (by user ratings), content-based filtering (by keywords), and hybrid filtering (by both collaborative and content-based filtering).…
Descriptors: Electronic Learning, Electronic Libraries, Online Systems, Computer Software
Bretag, Tracey; Mahmud, Saadia – Journal of University Teaching and Learning Practice, 2009
This paper provides insights based on the authors' own practice as university instructors, researchers and arbitrators of student plagiarism. Recognising the difficulty in defining plagiarism while still acknowledging the practical importance of doing so, the authors find the common element between the various types of plagiarism to be the lack of…
Descriptors: Foreign Countries, Plagiarism, Authors, Recognition (Achievement)
Boon, Stuart; Sinclair, Christine – Educational Media International, 2009
The authors use their own experiences with social software to argue for the need for caution in its uses in education. They particularly draw attention to difficulties in engagement, the effects on identity, an emphasis on superficial issues, lack of coherence, and problems with authenticity and trust. While Facebook and Second Life appear to have…
Descriptors: Internet, Web Sites, Social Networks, Creativity
Shuqun, Yang; Shuliang, Ding; Zhiqiang, Yao – International Journal of Distance Education Technologies, 2009
Cognitive diagnosis (CD) plays an important role in intelligent tutoring system. Computerized adaptive testing (CAT) is adaptive, fair, and efficient, which is suitable to large-scale examination. Traditional cognitive diagnostic test needs quite large number of items, the efficient and tailored CAT could be a remedy for it, so the CAT with…
Descriptors: Monte Carlo Methods, Distance Education, Adaptive Testing, Intelligent Tutoring Systems
Yu, Chong Ho; And Others – 1995
Central limit theorem (CLT) is considered an important topic in statistics, because it serves as the basis for subsequent learning in other crucial concepts such as hypothesis testing and power analysis. There is an increasing popularity in using dynamic computer software for illustrating CLT. Graphical displays do not necessarily clear up…
Descriptors: Computer Simulation, Computer Software, Hypothesis Testing, Identification
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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