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Zhao Wanli; Tang Youjun; Ma Xiaomei – SAGE Open, 2025
Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…
Descriptors: Bibliometrics, Second Language Learning, Computer Science, Educational Research
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Kenworthy, Jared B.; Doboli, Simona; Alsayed, Omar; Choudhary, Rishabh; Jaed, Abu; Minai, Ali A.; Paulus, Paul B. – Creativity Research Journal, 2023
We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new…
Descriptors: Computer Science, Psychology, Researchers, Natural Language Processing
Michael Joseph King – ProQuest LLC, 2022
This research explores the emerging field of data science from the scientometric, curricular, and altmetric perspectives and addresses the following six research questions: 1.What are the scientometric features of the data science field? 2.What are the contributing fields to the establishment of data science? 3.What are the major research areas of…
Descriptors: Data Science, Bibliometrics, Qualitative Research, Statistical Analysis
Jiaqing Tong – ProQuest LLC, 2022
Though efforts have been made for centuries, how concepts are represented in the brain is still elusive. The embodiment view claims that the sensory, motor and other brain areas through which people acquire concept information during life experiences represent this information during concept retrieval. Some compelling neurobiological evidence…
Descriptors: Concept Formation, Brain Hemisphere Functions, Evidence, Models
Allen, Laura K.; Creer, Sarah D.; Poulos, Mary Cati – Grantee Submission, 2021
Research in discourse processing has provided us with a strong foundation for understanding the characteristics of text and discourse, as well as their influence on our processing and representation of texts. However, recent advances in computational techniques have allowed researchers to examine discourse processes in new ways. The purpose of the…
Descriptors: Natural Language Processing, Computation, Discourse Analysis, Computer Science
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Godfroid, Aline; Winke, Paula; Conklin, Kathy – Second Language Research, 2020
In this paper, we review how eye tracking, which offers millisecond-precise information about how language learners orient their visual attention, can be used to investigate a variety of processes involved in the multifaceted endeavor of second language acquisition (SLA). In particular, we review the last 15 years of research in SLA, in which…
Descriptors: Second Language Learning, Eye Movements, Language Processing, Language Research
Demszky, Dorottya – ProQuest LLC, 2022
Language is central to education, being the core medium of instruction. Researchers and practitioners have long used manual methods to analyze instructional language like classroom discourse and instructional texts, with the goal of facilitating student-centered instruction. In this dissertation, I offer three studies demonstrating how natural…
Descriptors: Natural Language Processing, Student Centered Learning, Textbook Content, Evaluation Methods
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Shingo Nahatame – Reading in a Foreign Language, 2022
This study is an extension of Nahatame's (2018) research that demonstrated the effects of causal and semantic relations between sentences on second language (L2) text processing. Employing eye tracking, this study aimed to examine whether these effects appear during more natural, uninterrupted reading processes and to identify the time course of…
Descriptors: Semantics, Language Processing, Reading Rate, Attribution Theory
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Benotti, Luciana; Martinez, Maria Cecilia; Schapachnik, Fernando – IEEE Transactions on Learning Technologies, 2018
In this paper we present a software platform called Chatbot designed to introduce high school students to Computer Science (CS) concepts in an innovative way: by programming chatbots. A chatbot is a bot that can be programmed to have a conversation with a human or robotic partner in some natural language such as English or Spanish. While…
Descriptors: Formative Evaluation, Introductory Courses, Computer Science, High School Students