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Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
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Huu Thanh Minh Nguyen; Nguyen Van Anh Le – TESL-EJ, 2024
Comparing language tests and test preparation materials holds important implications for the latter's validity and reliability. However, not enough studies compare such materials across a wide range of indices. Therefore, this study investigated the text complexity of IELTS academic reading tests (IRT) and IELTS reading practice tests (IRPrT).…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Readability
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Mark C. Gillen; Caroline A. Baker; Vanessa H. Mercer – Journal of Faculty Development, 2024
The evolution from new faculty to department chair, through tenure and promotion, has been widely studied, yielding ideas for success. The move from department chair back to faculty status is less studied, with fewer insights in the literature. This article offers a brief review of literature related to becoming and stepping down from the role of…
Descriptors: Departments, Department Heads, Teacher Role, College Faculty
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Uchenna Ugwuoke; Peter Okebukola; Ekwam Emmanuel; Franklin Onowugbeda; Benjamin Onuorah – Journal of Educational Research, 2024
Application/Software development, a component of ICT is an important skill needed to help address sustainability given its high societal leverage. On recognizing the complexity of understanding software development cycle and putting into consideration the technicalities involved in developing software to solve organizational problems, there is a…
Descriptors: Culturally Relevant Education, Computer Software, Positive Attitudes, Instructional Innovation
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Zsolt Molnár; Marianna Radács; Márta Gálfi – International Electronic Journal of Elementary Education, 2024
The study of complexity is an important part of science education. This paper presents a pedagogical option that includes potentially feasible field solutions for complex science teachers. This work aims to examine how fieldwork has appeared in the international literature over the past five years and to explore the algorithms that can be used to…
Descriptors: Elementary School Curriculum, Field Studies, Integrated Curriculum, Science Education
Matt Giani; Franchesca Lyra; Adam Tyner – Thomas B. Fordham Institute, 2025
While calculus remains the gold standard of academic rigor in most college admissions offices, educators and employers increasingly champion advanced statistics as critical for navigating today's data-driven workforce. So which math pathway actually shapes long-term success? To find out, we asked UT Austin Associate Professor Matt Giani, graduate…
Descriptors: Calculus, Statistics, Mathematics Education, Public Schools
Edgar I. Sanchez – ACT Education Corp., 2025
The usefulness of college admissions test scores and high school GPA for predicting college success, particularly in STEM (science, technology, engineering, and mathematics), has been widely debated. As colleges across the country face challenges in STEM student retention and achievement, understanding the factors that contribute to college…
Descriptors: Prediction, STEM Education, Accuracy, Scores
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Giulia Polverini; Jakob Melin; Elias Önerud; Bor Gregorcic – Physical Review Physics Education Research, 2025
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Artificial intelligence-based chatbots are increasingly influencing physics education because of their ability to interpret and respond to textual and visual inputs. This study evaluates the performance of two large…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Physics
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Nisaudzakiah Utami; Agus Setiawan; Ida Hamidah; Thomas Koehler – Educational Process: International Journal, 2025
Background/purpose: This study investigated the effectiveness of Problem-Based Worksheets (PBWs) in improving conceptual understanding of logic gates. PBWs were designed with key characteristics that integrate authentic problem-solving, active student engagement, and conceptual scaffolding to support critical thinking processes. A total of 32…
Descriptors: Problem Based Learning, Worksheets, Item Response Theory, Models
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Colliot, Tiphaine; Jamet, Éric – Instructional Science: An International Journal of the Learning Sciences, 2019
We compared performances on a learning task in which students (N = 81) viewed a pedagogical multimedia document without (control group) or with a readymade graphic organizer (readymade group) with performances on an active learning task where students self-generated a graphic organizer either totally (total self-generated group) or partially…
Descriptors: Active Learning, Instructional Materials, Multimedia Materials, Cognitive Processes
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Conijn, Rianne; Roeser, Jens; van Zaanen, Menno – Reading and Writing: An Interdisciplinary Journal, 2019
Keystroke logging is used to automatically record writers' unfolding typing process and to get insight into moments when they struggle composing text. However, it is not clear which and how features from the keystroke log map to higher-level cognitive processes, such as planning and revision. This study aims to investigate the sensitivity of…
Descriptors: Keyboarding (Data Entry), Data Collection, Cognitive Processes, Writing Processes
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Lynch, Raymond; Hurley, Adrian; Cumiskey, Olivia; Nolan, Brian; McGlynn, Bridgeen – Irish Educational Studies, 2019
This article considers the relationship between differential homework task difficulty, student engagement and performance across four Irish post-primary school sites. A total of 236 participants completed all elements of this study. All participants were junior cycle students, aged between 12 and 16 years. The study employed a standardised…
Descriptors: Correlation, Learner Engagement, Homework, Difficulty Level
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Weber, Christof – Mathematics Teacher, 2019
Students' difficulties understanding the meaning of logarithms could stem in part from differences between teachers' and students' views of them. The purpose of this article is to unpack some specialized content knowledge for teaching logarithms. The author discusses the history of logarithms to show why they can be understood as repeated…
Descriptors: Mathematics Instruction, Teaching Methods, Difficulty Level, Numbers
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Hansen, John; Sadler, Philip; Sonnert, Gerhard – Educational Measurement: Issues and Practice, 2019
The high school grade point average (GPA) is often adjusted to account for nominal indicators of course rigor, such as "honors" or "advanced placement." Adjusted GPAs--also known as weighted GPAs--are frequently used for computing students' rank in class and in the college admission process. Despite the high stakes attached to…
Descriptors: Grade Point Average, High School Students, Difficulty Level, Weighted Scores
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Bemis, Rhyannon H.; Leichtman, Michelle D. – Infant and Child Development, 2019
Accurately remembering how and when one's own learning occurs is an important metacognitive skill that matures during the early school years. In two studies, the impact of a delay on this ability was examined. In Study 1, 30 children in two age groups (4-year-olds and 5-year-olds) participated in two-staged learning events and were interviewed…
Descriptors: Memory, Learning Processes, Metacognition, Preschool Children
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