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Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
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Silvia García-Méndez; Francisco de Arriba-Pérez; Francisco J. González-Castaño – International Association for Development of the Information Society, 2023
Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Usability
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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 (CAL) curriculum, developed by Boston College's DevTech Research Group and utilizing the ScratchJr app, impacted students' computational thinking, coding skills, and reading comprehension. To accomplish this, the research team randomly assigned thirteen schools in a…
Descriptors: Coding, Second Language Learning, Curriculum Development, Programming Languages
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Hwang, Mark – e-Journal of Business Education and Scholarship of Teaching, 2018
The purpose of this teaching case is to develop a hands-on exercise on graph processing using a hybrid system. The paper provides a background on graph databases and how graph processing is supported in a hybrid system, SAP HANA. It also details step-by-step instructions on how to create, modify, and process a graph database using SAP HANA. The…
Descriptors: Graphs, Databases, Programming Languages, Mathematics
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Buteau, Chantal; Gueudet, Ghislaine; Muller, Eric; Mgombelo, Joyce; Sacristán, Ana Isabel – International Journal of Mathematical Education in Science and Technology, 2020
The instrumental approach is a useful theoretical lens for understanding students' learning processes with a main focus on the transformation of an artefact (a human design for a goal-directed activity) into a meaningful instrument (i.e. an artefact and schemes developed by the student). In this paper, we articulate the instrumental approach for…
Descriptors: Undergraduate Students, College Mathematics, Programming Languages, Active Learning
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Padgett, R. Noah; Morgan, Grant B. – Measurement: Interdisciplinary Research and Perspectives, 2020
The "extended Rasch modeling" (eRm) package in R provides users with a comprehensive set of tools for Rasch modeling for scale evaluation and general modeling. We provide a brief introduction to Rasch modeling followed by a review of literature that utilizes the eRm package. Then, the key features of the eRm package for scale evaluation…
Descriptors: Computer Software, Programming Languages, Self Esteem, Self Concept Measures
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Mills, Robert J.; Beaulieu, Tanya Y.; Feldon, David F.; Olsen, David H. – Decision Sciences Journal of Innovative Education, 2020
ABSTRACT For some time, there has been a call for cross-disciplinary teaching within the business disciplines. With the rise of data and analytics, there is an opportunity for cross-disciplinary teaching by integrating technology throughout the business curriculum. However, many business professors have little experience in cross-disciplinary…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Effectiveness, Interdisciplinary Approach
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Mariano, Diego; Martins, Pedro; Helene Santos, Lucianna; de Melo-?Minardi, Raquel Cardoso – Biochemistry and Molecular Biology Education, 2019
The advent of the high-throughput next-generation sequencing produced a large number of biological data. Knowledge discovery from the huge amount of available biological data requires researchers to develop solid skills in biology and computer science. As the majority of the Bioinformatics professionals are either computer science or life sciences…
Descriptors: Computer Literacy, Computer Science Education, Programming, Biological Sciences
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Lincoln, James – Physics Teacher, 2019
Python is a free, text-based programming language that has already been used by those who do physics research to great effect. But students can also learn to use it and, through its use, learn other aspects of physics--especially ones that are difficult or impossible to perform as physical labs. This article serves as a most-fundamental start for…
Descriptors: Science Instruction, Physics, Computer Uses in Education, Programming Languages
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Steven Sclarow; A. J. Raven; Mart Doyle – Journal of Information Systems Education, 2024
This paper presents field-tested improvements over an 11-year period of a large-scale "Introduction to Information Systems" core business school course and provides a framework for implementation. Engagement and learning in large-scale courses can prove challenging, especially when the class is a requirement within a business school's…
Descriptors: Learning Strategies, Information Systems, Large Group Instruction, Introductory Courses
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Ali Alqarni – Journal of Educational Computing Research, 2025
This study examined the effect of gamification on visual programming and computational thinking skills among primary school students, aiming to investigate how gamified learning environments enhance cognitive skill development and conceptual integration compared to traditional teaching methods. A quasi-experimental design was employed, involving…
Descriptors: Thinking Skills, Game Based Learning, Achievement Tests, Teaching Methods
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Krouska, Akrivi; Troussas, Christos; Sgouropoulou, Cleo – Education and Information Technologies, 2022
The closure of educational institutions due to the COVID-19 pandemic leads imperatively to the utilization of technological advances and the Internet for enabling the continuity of learning. To this direction, Mobile Game-based Learning (MGbL) can be beneficial to teaching and learning; since, from technological perspective, most students prefer…
Descriptors: Game Based Learning, Electronic Learning, COVID-19, Pandemics
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Curley, Brenna; Peterson, Anna – Journal of Statistics and Data Science Education, 2022
In this article, we outline several activities revolving around soccer players who participated in the 2018 FIFA World Cup and 2019 FIFA Women's World Cup. Classroom activities are described from different perspectives, useful for a range of different statistics courses. In a first semester probability theory course, students investigate the…
Descriptors: Team Sports, Competition, Teaching Methods, Data Analysis
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
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