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Pedro Isaias; Tania Hoque; Paula Miranda – International Association for Development of the Information Society, 2024
While the higher education sector is continuously searching for innovative technologies, the use of chatbots requires extensive research and careful consideration of their pedagogical value. The lessons learned from lecturers who experiment with chatbots can constitute important evidence to support their use. This paper presents a chatbot…
Descriptors: Instructional Material Evaluation, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Ursula Holzmann; Sulekha Anand; Alexander Y. Payumo – Advances in Physiology Education, 2025
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Thinking Skills
Laeeq, Kashif; Memon, Zulfiqar Ali – Interactive Learning Environments, 2021
The existing Learning Management Systems (LMSs) are profoundly effective in empowering the organization of e-learning, however, lacking in usability and learnability. The complex navigation and an immature search system are catalysing the issues that needs vigorous improvement. This paper aims to enhance the usability of LMSs by introducing an…
Descriptors: Integrated Learning Systems, Artificial Intelligence, Natural Language Processing, Information Retrieval
Gregory J. Heathco – Communication Teacher, 2025
University classrooms are increasingly populated by students with diverse nationalities and native languages (L1). The growing number of students in English-led classrooms who speak English as a second or lower language (L2) may face added difficulties in understanding the specific task objectives or directions, as explained by native-…
Descriptors: English (Second Language), Second Language Learning, Comparative Analysis, Language Processing
What to Expect from Neural Machine Translation: A Practical In-Class Translation Evaluation Exercise
Moorkens, Joss – Interpreter and Translator Trainer, 2018
Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…
Descriptors: Translation, Teaching Methods, Computational Linguistics, Quality Assurance
Ozubko, Jason D.; Joordens, Steve – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
The pseudoword effect is the finding that pseudowords (i.e., rare words or pronounceable nonwords) give rise to more hits and false alarms than words. Using the retrieving effectively from memory (REM) model of recognition memory, we tested a familiarity-based account of the pseudoword effect: Specifically, the pseudoword effect arises because…
Descriptors: Foreign Countries, Semantics, Familiarity, Word Recognition
Mason, Jon – International Association for Development of the Information Society, 2012
"Asking why" is an important foundation of inquiry and fundamental to the development of reasoning skills and learning. Despite this, and despite the relentless and often disruptive nature of innovations in information and communications technology (ICT), sophisticated tools that directly support this basic act of learning appear to be…
Descriptors: Foreign Countries, Questioning Techniques, Inquiry, College Students
Kato, Taichi; Arakawa, Chuichi – Simulation & Gaming, 2008
BIT BY BIT is an encryption game that is designed to improve students' understanding of natural language processing in computers. Participants encode clear words into binary code using an encryption key and exchange them in the game. BIT BY BIT enables participants who do not understand the concept of binary numbers to perform the process of…
Descriptors: Computer Science, Educational Technology, Language Processing, Natural Language Processing
Schuetze, Ulf; Weimer-Stuckmann, Gerlinde – CALICO Journal, 2010
This article presents the concept development, research programming, and learning design of a lexical processing web application, Virtual Vocabulary, which was developed using theories in both cognitive psychology and second language acquisition (SLA). It is being tested with first-year students of German at the University of Victoria in Canada,…
Descriptors: Intervals, Second Language Learning, Concept Formation, Foreign Countries
Nagata, Noriko – CALICO Journal, 2010
This paper discusses several design issues in the development of a new online Japanese textbook, called "Robo-Sensei: Japanese Curriculum with Automated Feedback". When it is completed, the new online textbook will present a full Japanese curriculum. It extends a previously published online software program, "Robo-Sensei: Personal Japanese Tutor"…
Descriptors: Feedback (Response), Class Activities, Student Attitudes, Learning Activities
Edgington, Theresa M. – Journal of Information Technology Education: Innovations in Practice, 2011
Text analytics refers to the process of analyzing unstructured data from documented sources, including open-ended surveys, blogs, and other types of web dialog. Text analytics has enveloped the concept of text mining, an analysis approach influenced heavily from data mining. While text mining has been covered extensively in various computer…
Descriptors: Feedback (Response), Constructivism (Learning), Web Sites, Class Activities

Shen, Di; Forster, Kenneth I. – Language and Cognitive Processes, 1999
In two masked priming experiments with Chinese characters, orthographic priming effects were observed in lexical decision and naming tasks despite the fact that the primes were phonologically unrelated to the target characters. Data suggest that the recovery of lexical information for Chinese characters does not depend on the prior activation of…
Descriptors: Chinese, College Students, Higher Education, Language Processing

Adamson, Robin – Language Learning Journal, 1996
Argues that the possibility of working together unobserved on language learning tasks helps students to formulate and articulate their perceptions of how the linguistic structure of the foreign language functions. It is suggested that students' perceptions of how the computer helps them to learn the language can provide a blueprint for the…
Descriptors: College Students, Computer Assisted Instruction, Computer Software, Course Content
White, Daniel R.; Joy, Mike S. – Journal on Educational Resources in Computing, 2004
With the increasing levels of access to higher education in the United Kingdom, larger class sizes make it unrealistic for tutors to be expected to identify instances of peer-to-peer plagiarism by eye and so automated solutions to the problem are required. This document details a novel algorithm for comparison of suspect documents at a sentence…
Descriptors: Plagiarism, Computer Software, Foreign Countries, Natural Language Processing

Juffs, Alan; Harrington, Michael – Language Learning, 1996
Expands on the authors' (1995) investigation of the parsing performance on "wh"-movement sentences by Chinese-speaking learners of English. The article compares the difficulty second-language learners have in parsing subject "wh"-traces in embedded finite and nonfinite clauses with the problems they have in parsing Garden Path…
Descriptors: College Students, Comparative Analysis, English (Second Language), Error Analysis (Language)
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