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Peer reviewed
Direct linkChiara Alzetta; Ilaria Torre; Frosina Koceva – Technology, Knowledge and Learning, 2024
Extracting and formally representing the knowledge embedded in textbooks, such as the concepts explained and the relations between them, can support the provision of advanced knowledge-based services for learning environments and digital libraries. In this paper, we consider a specific type of relation in textbooks referred to as…
Descriptors: Textbooks, Information Retrieval, Documentation, Graphs
Bodong Chen; Zixi Chen – Education and Information Technologies, 2024
Web annotation environments are widely used in education based on the premise that student interaction in these environments benefits individual and group learning. However, there is little research on factors driving student interaction in web annotation activities. In this study we asked: What dynamics could explain social interaction among…
Descriptors: College Students, Internet, Documentation, Computer Mediated Communication
Ryan Gillespie; Julie M. Amador – Elementary School Journal, 2024
We examined the characteristics of video annotations frequently discussed during debriefing conversations as part of video-assisted coaching cycles. We also analyzed how mathematics coaches used written annotations to inject ideas into debriefing conversations when supporting teachers to reflect on important classroom events. Coaches and teachers…
Descriptors: Video Technology, Documentation, Coaching (Performance), Mathematics Instruction
Download full textJesper Dannath; Alina Deriyeva; Benjamin Paaßen – International Educational Data Mining Society, 2025
Research on the effectiveness of Intelligent Tutoring Systems (ITSs) suggests that automatic hint generation has the best effect on learning outcomes when hints are provided on the level of intermediate steps. However, ITSs for programming tasks face the challenge to decide on the granularity of steps for feedback, since it is not a priori clear…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Undergraduate Students
Lottridge, Susan; Woolf, Sherri; Young, Mackenzie; Jafari, Amir; Ormerod, Chris – Journal of Computer Assisted Learning, 2023
Background: Deep learning methods, where models do not use explicit features and instead rely on implicit features estimated during model training, suffer from an explainability problem. In text classification, saliency maps that reflect the importance of words in prediction are one approach toward explainability. However, little is known about…
Descriptors: Documentation, Learning Strategies, Models, Prediction
Barbara Kuševic – International Journal of Mentoring and Coaching in Education, 2025
Purpose: Approaching mentoring from the theoretical tradition of continental pedagogy and contrasting it to the neoliberal organization of the academy, this paper aims to analyze how the Croatian higher education document framework constructs mentoring graduate and postgraduate students' research projects. Design/methodology/approach: The analysis…
Descriptors: Mentors, Research Projects, Foreign Countries, Higher Education
Icy Zhang; Yunqi Jia; Xiaoxuan Cheng; Ji Y. Son; James W. Stigler – Journal of Educational Computing Research, 2025
Although programming is often learned through formal instruction or self-paced tutorials, informal learning, for example, through publicly available online documentation, is also a significant resource for skill development among novices. However, many novices struggle to extract useful information from documentation. This work aims to answer two…
Descriptors: Programming, Novices, Informal Education, Documentation
Hanna Vretblom – Education Inquiry, 2025
Preschools in Sweden are facing increasing requirements for introducing quality systems, and documentation practices are becoming a central part of the preschools' work. This article examines how Swedish principals perceive the assignment of documentation regarding special educational needs (SEN). Drawing on the theoretical work of Schön, this…
Descriptors: Foreign Countries, Principals, Preschools, Administrator Attitudes
Kataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
Charmaine K. Higa-McMillan; Alayna L. Park; Eric L. Daleiden; Kimberly D. Becker; Adam Bernstein; Bruce F. Chorpita – Administration and Policy in Mental Health and Mental Health Services Research, 2024
This study investigated coded data retrieved from clinical dashboards, which are decision-support tools that include a graphical display of clinical progress and clinical activities. Data were extracted from clinical dashboards representing 256 youth (M age = 11.9) from 128 practitioners who were trained in the Managing and Adapting Practice (MAP)…
Descriptors: Clinical Experience, Documentation, Educational Technology, Charts
Andrew Cowell; Chase Wesley Raymond; Maisa Nammari – Language Documentation & Conservation, 2025
This paper examines polar questions in Arapaho, from several perspectives. First, examples are given of consultants' elicited Arapaho glosses for English-language questions, along with consultant commentary and language ideologies on the proper forms. Of note is the consultants' preference for negative polar questions. Next, a series of…
Descriptors: American Indians, American Indian Languages, Native Language Instruction, Teaching Methods
Hanna Vretblom – Scandinavian Journal of Educational Research, 2025
This article examines the use of digital documentation systems for preschool special education in Swedish municipalities. Drawing on concepts of organisational learning, the research examines the extent to which municipalities use digital systems and their rationales for such use. A survey of municipalities' use of digital documentation systems…
Descriptors: Foreign Countries, Special Needs Students, Municipalities, Administrator Attitudes
Yinmiao Li; Xiaoyang Zhou; Daragh Byrne; Marti Louw – International Journal of Technology and Design Education, 2024
Within creative domains in studio- and project-based education, documentation is often central to demonstrating outcomes, process, and progress. Despite much prior work into the instructional practices, technologies, and tools that support cultivating documentation practices, no prior work explores the student valuing and perception of…
Descriptors: Documentation, Creativity, Active Learning, Student Projects
Thomas D. Griffin; Allison J. Jaeger; M. Anne Britt; Jennifer Wiley – Instructional Science: An International Journal of the Learning Sciences, 2024
Relying on multiple documents to answer questions is becoming common for both academic and personal inquiry tasks. These tasks often require students to explain phenomena by taking various causal factors that are mentioned separately in different documents and integrating them into a coherent multi-causal explanation of some phenomena. However,…
Descriptors: Documentation, Inquiry, Grade 8, Scientific Concepts
Hongming Li; Seiyon Lee; Anthony F. Botelho – International Educational Data Mining Society, 2024
Recent advances in the development of large language models (LLMs) have led to power innovative suites of generative AI tools that are capable of not only simulating human-like-dialogue but also composing more complex artifacts, such as social media posts, essays, and even research articles. While this abstract has been written entirely by a human…
Descriptors: Artificial Intelligence, Natural Language Processing, Academic Language, Writing (Composition)
