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Showing 1 to 15 of 35 results Save | Export
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David Wees – Natural Sciences Education, 2024
Requiring students to create weed collections is a common technique for teaching weed identification. Data compiled over 18 years from students' weed collections in a college-level course included over 350 species of plants. Almost half of the specimens belonged to the Asteraceae or Poaceae. The 30 most frequently collected species accounted for…
Descriptors: Agricultural Education, Plants (Botany), Identification, Teaching Methods
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Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts
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Huang, Changqin; Wu, Xuemei; Wang, Xizhe; He, Tao; Jiang, Fan; Yu, Jianhui – Educational Technology & Society, 2021
Collaborative reflection (co-reflection) plays a vital role in collaborative knowledge construction and behavior shared regulation. Although the mixed effect of online co-reflection was reported in the literature, few studies have comprehensively examined both individual and group factors and their relationships that affect the co-reflection…
Descriptors: Cooperation, Reflection, Objectives, Achievement Need
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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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Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
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Mulholland, Mary-Lee – Journal of College and Character, 2020
With the perceived increase in plagiarism in post-secondary institutions, there has been a simultaneous increase in research and analysis on the issue emerging from multiple fields including education, humanities, social science, business and management, sciences, and the media. The focus of this research ranges from the frequency of cases,…
Descriptors: Plagiarism, Ethics, Moral Issues, Educational Policy
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Huang, Anna Y. Q.; Lu, Owen H. T.; Huang, Jeff C. H.; Yin, C. J.; Yang, Stephen J. H. – Interactive Learning Environments, 2020
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…
Descriptors: Academic Achievement, Data Use, Learning Analytics, Classification
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Ruiperez-Valiente, Jose A.; Munoz-Merino, Pedro J.; Alexandron, Giora; Pritchard, David E. – IEEE Transactions on Learning Technologies, 2019
One of the reported methods of cheating in online environments in the literature is CAMEO (Copying Answers using Multiple Existences Online), where harvesting accounts are used to obtain correct answers that are later submitted in the master account which gives the student credit to obtain a certificate. In previous research, we developed an…
Descriptors: Computer Assisted Testing, Tests, Online Courses, Identification
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Alvarez, Niurys Lázaro; Callejas, Zoraida; Griol, David – Journal of Technology and Science Education, 2020
We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…
Descriptors: Foreign Countries, College Students, Computer Science Education, Engineering Education
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Song, Yi; Deane, Paul; Beigman Klebanov, Beata – ETS Research Report Series, 2017
This project focuses on laying the foundations for automated analysis of argumentation schemes, supporting identification and classification of the arguments being made in a text, for the purpose of scoring the quality of written analyses of arguments. We developed annotation protocols for 20 argument prompts from a college-level test under the…
Descriptors: Scoring, Automation, Persuasive Discourse, Documentation
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Donkin, Chris; Newell, Ben R.; Kalish, Mike; Dunn, John C.; Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
The strength of conclusions about the adoption of different categorization strategies--and their implications for theories about the cognitive and neural bases of category learning--depend heavily on the techniques for identifying strategy use. We examine performance in an often-used "information-integration" category structure and…
Descriptors: Classification, Learning, Learning Strategies, Identification
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Gnevsheva, Ksenia – Journal of Multilingual and Multicultural Development, 2018
This study investigates variation in listeners' accuracy in accent identification of native and non-native speakers of English. Thirty native speakers of New Zealand (NZ) English completed a free identification task with stimuli extracted from naturalistic conversations of several speakers from three native and two non-native English language…
Descriptors: Language Variation, English (Second Language), Second Language Learning, Korean
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Phettongkam, Husna – LEARN Journal: Language Education and Acquisition Research Network, 2017
The study aims to explore the grammatical errors in spoken English of Thai University learners in a communicative business English course. The main objectives of the research study are to identify the types and frequency of grammatical errors. Collected data were analyzed according to the surface structure taxonomy to present a general overview.…
Descriptors: Grammar, Error Analysis (Language), Business English, English (Second Language)
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Fitousi, Daniel; Wenger, Michael J. – Journal of Experimental Psychology: Human Perception and Performance, 2013
A prominent theory in the face perception literature--the parallel-route hypothesis (Bruce & Young, 1986)--assumes a dedicated channel for the processing of identity that is separate and independent from the channel(s) in which nonidentity information is processed (e.g., expression, eye gaze). The current work subjected this assumption to…
Descriptors: Visual Perception, Identification, Nonverbal Communication, Classification
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Siyepu, Sibawu Witness – International Journal of STEM Education, 2015
Background: This article reports on an analysis of errors that were displayed by students who studied mathematics in Chemical Engineering in derivatives of mostly trigonometric functions. The poor performance of these students triggered this study. The researcher (lecturer) works in a mathematics support programme to enhance students'…
Descriptors: Mathematics Instruction, Error Patterns, Qualitative Research, Case Studies
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