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Carrie Wright; Qier Meng; Michael R. Breshock; Lyla Atta; Margaret A. Taub; Leah R. Jager; John Muschelli; Stephanie C. Hicks – Journal of Statistics and Data Science Education, 2024
With unprecedented and growing interest in data science education, there are limited educator materials that provide meaningful opportunities for learners to practice "statistical thinking," as defined by Wild and Pfannkuch, with messy data addressing real-world challenges. As a solution, Nolan and Speed advocated for bringing…
Descriptors: Statistics, Statistics Education, Open Educational Resources, Case Method (Teaching Technique)
Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
Asma Almusharraf; Hassan Saleh Mahdi; Haifa Al-Nofaie; Amal Aljasser – Journal of Computer Assisted Learning, 2024
Background study: Computer-assisted pronunciation training (CAPT) has emerged as an important resource for second language (L2) pronunciation learning. CAPT offers diverse opportunities for learners to master L2 pronunciation with the help of authentic learning activities in multiple contexts. Objectives: This study presents a comprehensive…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Second Language Learning, Second Language Instruction
Alaa Alnajashi – Journal of Education and Learning, 2024
The current demand for integrating technology into English language instruction to engage students in meaningful conversations is pressing in the digital era. Despite this, research on employing Google tools for collaborative, task-based activities in English education is scarce, particularly in meeting the needs of today's digital learners and…
Descriptors: Foreign Countries, College Students, English Instruction, Student Motivation
Kavitha Murthi – ProQuest LLC, 2024
Background: With around 200,000 autistic students set to enter universities and the workforce in the next decade, inclusive programs are receiving increased attention to helping educational systems carefully integrate these students' needs. Moreover, educational programs recognize that problem-solving is critical for school success and optimal…
Descriptors: Autism Spectrum Disorders, Middle School Students, Problem Solving, Student Attitudes
Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Qing Ma; Rui Yuan; Lok Ming Eric Cheung; Jing Yang – Computer Assisted Language Learning, 2024
The development of corpus-based language pedagogy (CBLP) is a complex and intriguing process that pertains to how corpus technology is directly applied to classroom teaching. Using a case study approach, this study investigated how two experienced university English teachers integrated corpus technology in authentic classroom teaching. Data…
Descriptors: Teaching Methods, Pedagogical Content Knowledge, Computational Linguistics, English (Second Language)
Paul D. Witman; Jim Prior; Tracy Nickl; Christopher Njunge; Stephen Ng’etich; Ayla Chaudhry – Information Systems Education Journal, 2025
Technological tools continue to permeate modern life, to the extent that they can supplant previously fundamental skills. Maps and route-finding are no exception. This complex function, driven by huge volumes of data, makes modern transportation easier, more resilient, and at the same time riskier and more dependent on a sometimes-opaque…
Descriptors: Undergraduate Students, Foreign Countries, Geographic Information Systems, Geographic Location
Gwo-Jen Hwang; Wen-Hua Chuang; Lu-Ho Hsia – Education and Information Technologies, 2024
Many scientific concepts and theorems are often abstract and challenging to relate to real-life problems, making it difficult for students to grasp them. Therefore, some researchers have attempted to enhance students' understanding by employing a contextual learning approach, which allows students to apply scientific knowledge to real situations…
Descriptors: Secondary School Students, Secondary School Science, Chemistry, Science Instruction
Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning