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Direct linkOscar Karnalim; Simon; William Chivers – Computer Science Education, 2024
Background and Context: To educate students about programming plagiarism and collusion, we introduced an approach that automatically reports how similar a submitted program is to others. However, as most students receive similar feedback, those who engage in plagiarism and collusion might feel inadequately warned. Objective: When students are…
Descriptors: Teaching Methods, Plagiarism, Computer Science Education, Programming
Teimourzadeh, Aria; Kakavand, Samaneh; Kakavand, Benjamin – Marketing Education Review, 2023
In the era of big data, many business organizations consider data analytics skills as important criteria in the acquisition of qualified applicants. As numerous managerial decisions in the field of marketing are becoming evidence-based, business schools have integrated case studies about different stages of data analytics such as problem…
Descriptors: Marketing, Teaching Methods, Programming Languages, Data Analysis
Download full textUK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
Peñarroja, Manuel Rodríguez – International Journal of Instruction, 2021
The teaching and acquisition of foreign language pragmatics as a part of the communicative competence paradigm has been reported as essential since the deviation from the Chomskian competence-based model to a more performative one in the '80s. Despite this change, only a few course books include or are designed on a teaching pragmatics basis. As…
Descriptors: Pragmatics, Computational Linguistics, Second Language Learning, Second Language Instruction
Pattemore, Anastasia; Muñoz, Carmen – JALT CALL Journal, 2022
This study explores the effects of extensive audio-visual input with three captioning modes -- unenhanced captions, textually enhanced captions, and no captions -- on learning a variety of L2 grammatical constructions and examines the effects of three learnability factors: construction type, frequency, and recency. A total of 112 participants…
Descriptors: Audiovisual Aids, Linguistic Input, Second Language Learning, Second Language Instruction
Muñoz, Carmen; Pujadas, Geòrgia; Pattemore, Anastasiia – Second Language Research, 2023
This article addresses the benefits of audio-visual input for learning second language (L2) vocabulary and grammatical constructions. Specifically, it explores the role of frequency, the effects of subtitles and captions, and the mediating role of learner proficiency on language gains in two longitudinal studies. Study 1 targets vocabulary…
Descriptors: Linguistic Input, Teaching Methods, Vocabulary Development, Second Language Learning
