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Yun Long; Haifeng Luo; Yu Zhang – npj Science of Learning, 2024
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…
Descriptors: Classroom Communication, Computational Linguistics, Chinese, Mathematics Instruction
Sabrina Girletti; Marie-Aude Lefer – Interpreter and Translator Trainer, 2024
In recent years, machine translation post-editing (MTPE or PE for short) has been steadily gaining ground in the language industry. However, studies that examine translators' perceptions of, and attitudes towards, MTPE paint a somewhat negative picture, with PE pricing methods and rates being a major source of dissatisfaction. While the European…
Descriptors: Translation, Teaching Methods, Language Processing, Second Language Instruction
José Gómez-Galán; Eloy López-Meneses; David Cobos-Sanchiz – Discover Education, 2024
The COVID-19 pandemic forced the digitalization of education to be accelerated to continue the teaching-learning processes in confined populations. The irruption of this fact caused the evolution that had previously been occurring in the integration of digital technologies, and in general information and communication technologies (ICT), in…
Descriptors: Internet, COVID-19, Pandemics, Educational Change
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Qian Xu; Jennifer C. Richardson – Online Learning, 2024
Scholars indicated that learners who are strategic with their language learning (e.g., selfregulated learning [SRL], cognitive and meta-cognitive strategies) tend to be more efficient, resourceful, and flexible, and thus have better language learning outcomes (Oxford, 2016; Heo et al., 2012; Plonsky, 2011). Besides focusing on the knowledge,…
Descriptors: Metacognition, Learning Strategies, Outcomes of Education, Vocabulary Development
Warmuth, Kelly A.; Caple, Alexandria H. – Teaching of Psychology, 2022
Background: Recent evidence suggests PechaKucha--a presentation style utilizing simplified visuals, narration, and rigid time constraints--may promote various learning outcomes and instructor goals better than traditional PowerPoint presentations. Objective: The purpose of this study was to test the effectiveness of students' PechaKucha compared…
Descriptors: Teaching Methods, Outcomes of Education, Computer Software, Instructional Effectiveness
Zhanxia Yang; Patricia Moore Shaffer; Courtney Hagan; Parastu Dubash; Marina Bers – Grantee Submission, 2023
The aim of this study was to explore how the Coding as Another Language using ScratchJr (CAL-ScratchJr) curriculum, developed by Boston College's DevTech Research Group utilizing the ScratchJr app, impacted second grade students' computational thinking, coding skills, and reading comprehension. To accomplish this, the research team randomly…
Descriptors: Coding, Programming Languages, Computer Science Education, School Districts
Prextova, Tatiana; Klubal, Libor; Kostolányová, Katerina; Homanov, Zuzana; Gybas, Vojtech – International Association for Development of the Information Society, 2018
Individualization of instruction in a regular classroom is difficult. The paper explores the possibilities of using a mobile touch device and a web tool for time individualization in mathematics instruction. The paper compares the pros and cons of using an electronic and a regular (printed) test to determine students' needs. The results show that…
Descriptors: Individualized Instruction, Computer Software, Mathematics Instruction, Teaching Methods
Daly, Nigel P. – Language Learning & Technology, 2022
The road to second language competence is a long and arduous one, and much of its effort involves learning to recognize and use vocabulary. Fortunately, anytime-anywhere learning with smart phones and smart apps offer a means to lessen the burden and make vocabulary learning more efficient. Accordingly, this study investigated 134 students across…
Descriptors: Personal Autonomy, Independent Study, Computer Assisted Instruction, Language Tests
Okopi, Fidel O. – Journal on Educational Psychology, 2011
The study was designed to investigate the NOUN students' non-adherence to their time management strategies (TMS) during the course of their studies. The researcher also wanted to find out whether their gender, age, marital and employment statuses have influence on their adherence/non-adherence to the plan or not. The researcher also examined the…
Descriptors: Time Management, Stress Variables, Questionnaires, Computer Software
Hilton, John L., III; Graham, Charles; Rich, Peter; Wiley, David – Distance Education, 2010
The authors studied a course in which an instructor allowed individuals at a distance to participate. Although these students were not formally enrolled in the university where the class took place, the instructor gave them full access to all course materials and encouraged them to complete course assignments. The authors examined the time and…
Descriptors: Time Management, Conventional Instruction, Education Courses, Graduate Study
Peng, Zhuoming – Journal of Educators Online, 2007
The primary benefit of providing out-of-class online quizzes in a face-to-face class is to gain more in-class time. A study designed to investigate this issue was conducted during the Spring 2006 and Spring 2007 semesters. Thirty-one and 34 Corporate Finance undergraduate students from each semester, and 33 and 36 Investments undergraduate…
Descriptors: Undergraduate Students, Cheating, Tests, Business Administration Education
Olaniran, Bolanle A., Ed. – Information Science Publishing, 2010
E-learning has become a significant aspect of training and education in the worldwide information economy as an attempt to create and facilitate a competent global work force. "Cases on Successful E-Learning Practices in the Developed and Developing World: Methods for the Global Information Economy" provides eclectic accounts of case…
Descriptors: Foreign Countries, Electronic Learning, Operations Research, Distance Education
Binsubaih, Ahmed; Maddock, Steve; Romano, Daniela – Interactive Technology and Smart Education, 2006
In Dubai, traffic accidents kill one person every 37 hours and injure one person every 3 hours. Novice traffic accident investigators in the Dubai police force are expected to "learn by doing" in this intense environment. Currently, they use no alternative to the real world in order to practice. This paper argues for the use of an…
Descriptors: Foreign Countries, Accidents, Traffic Safety, Time Management
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