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Kim, Minjung; Hsu, Hsien-Yuan – Journal of Educational and Behavioral Statistics, 2019
Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5),…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Computer Software, Computer Software Evaluation
Ross, Kevin; Sun, Dennis L. – Journal of Statistics Education, 2019
Simulation is an effective tool for analyzing probability models as well as for facilitating understanding of concepts in probability and statistics. Unfortunately, implementing a simulation from scratch often requires users to think about programming issues that are not relevant to the simulation itself. We have developed a Python package called…
Descriptors: Simulation, Statistics, Computer Software, Programming Languages
Dietrich, André – International Association for Development of the Information Society, 2019
LiaScript is an attempt to enable everyone to create free and interactive online courses, without the need of being an experienced programmer. Instead, it aims to bring both parties, software- and course-developers, closer together by introducing Open-Source techniques into the Open-courSe development process. LiaScript was designed to be…
Descriptors: Online Courses, Computer Software, Open Source Technology, Computer Assisted Testing
Mark Wilson; Kathleen Scalise; Perman Gochyyev – Educational Psychology, 2019
In this article, we describe a software system for assessment development in online learning environments in contexts where there are robust links to cognitive modelling including domain and student modelling. BEAR Assessment System Software (BASS) establishes both a theoretical basis for the domain modelling logic, and offers tools for delivery,…
Descriptors: Computer Software, Electronic Learning, Test Construction, Intelligent Tutoring Systems
Nursa'idah, Siti Latifah; Mustofa, Romy Faisal; Nuryadin, Egi – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2022
The Coronavirus disease 2019 (COVID-19) pandemic has become an epidemic that has major impacts throughout the world, one of which is the change in the Indonesian education system from face-to-face learning to online learning. This study aims to determine the effect of online-based problem based learning on the self-confidence and social…
Descriptors: Problem Based Learning, High School Students, Student Attitudes, COVID-19
Ferman, Sara; Shmuel, Sapir Amira; Zaltz, Yael – Language Learning and Development, 2022
The acquisition of a new morphological rule can be influenced by numerous factors, including the type of feedback provided during learning. The present study aimed to test the effect of different feedback types on children's ability to learn and generalize an artificial morphological rule (AMR). Two groups of eight-year-olds learned to judge and…
Descriptors: Morphology (Languages), Feedback (Response), Error Correction, Learning Processes
Kanaki, Kalliopi; Kalogiannakis, Michail – Educational Process: International Journal, 2022
Background/purpose: In terms of computational thinking core facets, algorithmic thinking is a key competency applicable not only in Computer Science but also in aspects of daily life. Considering the global phenomenon of gender stereotypes with regards to the academic and professional orientation in STEM fields, we focused on investigating the…
Descriptors: Thinking Skills, Gender Differences, STEM Education, Equal Education
Prado, Yenda; Jacob, Sharin; Warschauer, Mark – Computer Science Education, 2022
Background and Context: Computational Thinking (CT) is a skill all students should learn. This requires using inclusive approaches to teach CT to a wide spectrum of students. However, strategies for teaching CT to students with exceptionalities are not well studied. Objective: This study draws on lessons learned in two fourth-grade classrooms --…
Descriptors: Thinking Skills, Computer Science Education, Special Education, Teaching Methods
Zhou, Wenying; Li, Xiaoshi – Knowledge Management & E-Learning, 2022
Many people who learn Chinese as a foreign language (CFL) have encountered challenges when it comes to character writing. This was a follow-up study of our quantitative study in 2019 that showed that mobile app was a significantly more effective method than pen-and-paper method to learn Chinese character writing. Thirty beginning CFL learners…
Descriptors: Orthographic Symbols, Writing (Composition), Computer Software, Telecommunications
Chanpeng, Pantipa – Asian Journal of Education and Training, 2022
This research aimed to (1) develop and measure the efficiency of a set of reading and pronunciation skills in Chinese phonetics via Seesaw online classroom; (2) examine the effectiveness of the set; and (3) evaluate students' satisfaction with practice packages on Chinese pronunciation via Seesaw online classroom. Thirty-six undergraduate students…
Descriptors: Second Language Learning, Second Language Instruction, Pronunciation Instruction, Student Attitudes
Hirata, Saki; Yamada, Masanori – International Association for Development of the Information Society, 2022
Vocabulary learning that overlooks the discrimination of single sounds in English language learning could lead to communication difficulties, such as the inability to hear and speak English pronunciation. To address this issue, vocalization strategy, in which students listen to the sounds of words and memorize them aloud, is considered a useful…
Descriptors: Vocabulary Development, Audio Equipment, Pronunciation, English (Second Language)
Ion Razvan Radulescu; Antonio Dinis; Benny Malengier; Andrej Cupar; Mirela Blaga; Radek Polansky – International Association for Development of the Information Society, 2022
Industry 4.0 and digitization are nowadays important trends in the textile industry. The need for well-prepared professionals in software for the design and modelling of textile products requires the creation of up-to-date educational resources. Virtual learning supported by e-learning offers the instruments to continue education during pandemic…
Descriptors: Foreign Countries, Online Courses, Computer Software, Design
Mayer, V. V.; Varaksina, E. I. – Physics Education, 2018
We propose the use of a laptop with a program generator and a transistor power amplifier to control the frequency, duration and amplitude of the LED stroboscope flashes. Examples of the stroboscopic photographs are given.
Descriptors: Physics, Science Instruction, Laptop Computers, Lighting
Johnson, Clare; Davies, Ross; Reddy, Mike – International Journal for Educational Integrity, 2022
Academic misconduct in all its various forms is a challenge for degree-granting institutions. Whilst text-based plagiarism can be detected using tools such as Turnitin™, Plagscan™ and Urkund™ (amongst others), contract cheating and collusion can be more difficult to detect, and even harder to prove, often falling to no more than a 'balance of…
Descriptors: Student Behavior, College Students, Plagiarism, Cheating
Kholid, Muhammad Noor; Pradana, Lingga Nico; Maharani, Swasti; Swastika, Annisa – Journal of Technology and Science Education, 2022
The integration of learning models and software is a trend in mathematics courses. However, no existing learning model for geometry courses involves the students in the making of a tool or media project. The researchers noticed the potential of the project-based learning (PjBL) model and GeoGebra in analytical geometry courses. This study revealed…
Descriptors: Educational Technology, Computer Software, Student Projects, Active Learning

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