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Wawan Kurniawan; Khairul Anwar; Jufrida Jufrida; Kamid Kamid; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education. Background: The background emphasizes the growing demand for computational thinking skills in the modern workforce and the…
Descriptors: Individualized Instruction, Electronic Learning, Computation, Thinking Skills
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Bei Cai; Ziyu He; Hong Fu; Yang Zheng; Yanjie Song – IEEE Transactions on Learning Technologies, 2025
Much research has applied automated writing evaluation (AWE) systems to English writing instruction; however, understanding how students internalize and apply this feedback to reduce writing errors is difficult, largely due to the personal and private nature of this process. Therefore, this research utilized eye-tracking technology to explore the…
Descriptors: Undergraduate Students, Majors (Students), Writing (Composition), Writing Evaluation
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Gunwant, Shilpa; Pande, Jeetendra; Bisht, Raj Kishor – Journal of Learning for Development, 2022
The continual evolution of employment opportunities in the present industrial era has raised the need for career-long expert advice. Similar to other fields, thankfully technology has come to our rescue in the area of career guidance also. This paper presents a systematic review of Expert Systems (ES) developed for career guidance, course…
Descriptors: Career Guidance, Technology Uses in Education, Artificial Intelligence, Distance Education
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Chopra, Shivangi; Golab, Lukasz – International Journal of Work-Integrated Learning, 2022
Co-operative education is a form of work-integrated learning that includes academic study and paid work experience. This provides new learning opportunities for students and a talent pipeline for employers, but also requires participation in a competitive job market. This paper studies competition through a unique dataset from a large North…
Descriptors: Cooperative Education, Work Experience Programs, Job Placement, Competition
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Lemay, David John; Doleck, Tenzin; Brinton, Christopher G. – International Review of Research in Open and Distributed Learning, 2022
Online discussion research has mainly been conducted using case methods. This article proposes a method for comparative analysis based on network metrics such as information entropy and global network efficiency as more holistic measures characterizing social learning group dynamics. We applied social learning optimization analysis of networks…
Descriptors: Socialization, Social Networks, Network Analysis, Computer Mediated Communication
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Rallapalli, Varsha; Schauer, Jacob; Souza, Pamela – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The purpose of this study was to determine how "multiple" types of signal processing activated "together" influence listeners' preferences. Method: Participants were adults with mild to moderately severe sensorineural hearing loss. Stimuli were spatialized low-context sentences mixed with six-talker babble at 3 and 8…
Descriptors: Preferences, Hearing Impairments, Assistive Technology, Auditory Stimuli
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Yao, Ching-Bang; Wu, Yu-Ling – International Journal of Information and Communication Technology Education, 2022
With the impacts of COVID-19 epidemic, e-learning has become a popular research issue. Therefore, how to upgrade the interactivity of e-learning, and allow learners to quickly access personalized and popular learning information from huge digital materials, is very important. However, chatbots are mostly used in automation, as well as simple…
Descriptors: Electronic Learning, Artificial Intelligence, Individualized Instruction, Bayesian Statistics
Wolfgang Weidermann; Keith C. Herman; Wendy Reinke; Alexander von Eye – Grantee Submission, 2022
Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis…
Descriptors: Student Behavior, Behavior Patterns, Monte Carlo Methods, Statistical Analysis
Yiqin Pan – ProQuest LLC, 2022
Item preknowledge refers to the phenomenon in which some examinees have access to live items before taking a test. It is one of the most common and significant concerns within the testing industry. Thus, various statistical methods have been proposed to detect item preknowledge in computerized linear or adaptive testing. However, the success of…
Descriptors: Artificial Intelligence, Prior Learning, Test Items, Algorithms
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Martin, Paul P.; Graulich, Nicole – Chemistry Education Research and Practice, 2023
In chemistry, reasoning about the underlying mechanisms of observed phenomena lies at the core of scientific practices. The process of uncovering, analyzing, and interpreting mechanisms for explanations and predictions requires a specific kind of reasoning: mechanistic reasoning. Several frameworks have already been developed that capture the…
Descriptors: Artificial Intelligence, Critical Thinking, Logical Thinking, Student Evaluation
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Lee, Daniel Y.; Harring, Jeffrey R. – Journal of Educational and Behavioral Statistics, 2023
A Monte Carlo simulation was performed to compare methods for handling missing data in growth mixture models. The methods considered in the current study were (a) a fully Bayesian approach using a Gibbs sampler, (b) full information maximum likelihood using the expectation-maximization algorithm, (c) multiple imputation, (d) a two-stage multiple…
Descriptors: Monte Carlo Methods, Research Problems, Statistical Inference, Bayesian Statistics
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Costu, Fatma – Journal of Baltic Science Education, 2023
Several studies compared three different types of questions (conceptual, algorithmic, and graphical) across various topics, however, few focused specifically on gifted students. This study addressed this gap. The aim of the study, hence, was to determine whether there were notable differences in gifted students' performance in the three types of…
Descriptors: Academically Gifted, Concept Formation, Algorithms, Graphs
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Arantes, Janine Aldous; Vicars, Mark – Learning, Media and Technology, 2023
In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of 'data justice' in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and…
Descriptors: Foreign Countries, Homosexuality, LGBTQ People, Data
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Kirçali, Aycan Çelik; Özdener, Nesrin – Technology, Knowledge and Learning, 2023
This study examines the effects of plugged and unplugged programming tools used in algorithm teaching at the K-12 level on student computational thinking skills and to determine whether gender is a factor in this process. The study group was designed with a control group pre-test--post-test; quasi-experimental model, that consisted of 109 students…
Descriptors: Comparative Analysis, Teaching Methods, Learning Activities, Algorithms
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Decuypere, Mathias; Hartong, Sigrid – Learning, Media and Technology, 2023
Over the past years, there has been an increasing prevalence of 'nudge thinking' in the educational field. While (critical) research on the rising adoption of nudging has increasingly proliferated in the broader social sciences over the past decades, nudging in education -- what we designate here as "Edunudge" -- is, however, only…
Descriptors: Cues, Prompting, Educational Technology, Technology Uses in Education
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