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Yunting Liu; Shreya Bhandari; Zachary A. Pardos – British Journal of Educational Technology, 2025
Effective educational measurement relies heavily on the curation of well-designed item pools. However, item calibration is time consuming and costly, requiring a sufficient number of respondents to estimate the psychometric properties of items. In this study, we explore the potential of six different large language models (LLMs; GPT-3.5, GPT-4,…
Descriptors: Artificial Intelligence, Test Items, Psychometrics, Educational Assessment
Handan Narin Kiziltan; Hatice Cigdem Bulut – International Journal of Assessment Tools in Education, 2024
Mental imagery is a vital cognitive skill that significantly influences how reality is perceived while creating art. Its multifaceted nature reveals various dimensions of creative expression, amplifying the inherent complexities of measuring it. This study aimed to shorten the Mental Imagery Scale in Artistic Creativity (MISAC) via the Ant Colony…
Descriptors: Foreign Countries, Undergraduate Students, Art Education, Imagery
Omar Abu-Ghalyoun; Adnan Al-Abed – Teaching Statistics: An International Journal for Teachers, 2024
This study investigates a range of non-normative ideas that pre-service teachers (PSTs) employ in reasoning about sampling variability. This issue was studied in the context of a content course on statistics and probability for pre-service middle grade teachers at a Midwestern American university. Analysis of seven PSTs' video and screen records…
Descriptors: Preservice Teachers, Middle School Teachers, Teacher Characteristics, Knowledge Level
Hayes, Brett K.; Liew, Shi Xian; Desai, Saoirse Connor; Navarro, Danielle J.; Wen, Yuhang – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The samples of evidence we use to make inferences in everyday and formal settings are often subject to selection biases. Two property induction experiments examined group and individual sensitivity to one type of selection bias: sampling frames - causal constraints that only allow certain types of instances to be sampled. Group data from both…
Descriptors: Logical Thinking, Inferences, Bias, Individual Differences
Rodriguez, AE; Rosen, John – Research in Higher Education Journal, 2023
The various empirical models built for enrollment management, operations, and program evaluation purposes may have lost their predictive power as a result of the recent collective impact of COVID restrictions, widespread social upheaval, and the shift in educational preferences. This statistical artifact is known as model drifting, data-shift,…
Descriptors: Models, Enrollment Management, School Holding Power, Data
Aditi Sengupta; Nallely Delara; Joyce Barahona; Justin Garcia – Journal of College Science Teaching, 2024
Undergraduate institutions serve as stepping stones to students' careers. Teaching and learning in science classrooms require quality and integrated teaching-research learning experiences that prepare students to advance their careers. Using publicly available data sets and open-access data analyses software can be impactful for engaging students…
Descriptors: Data Analysis, Computer Software, Soil Science, Sampling
Vongkulluksn, Vanessa W.; Xie, Kui – Open Education Studies, 2022
Learning processes often occur at a situational level. Changes in learning context have implications on how students are motivated or are able to cognitively process information. To study such situational phenomena, Experience Sampling Method (ESM) can help assess psychological variables in the moment and in context. However, data collected via…
Descriptors: Learning Processes, Sampling, Hierarchical Linear Modeling, Experience
Abu-Ghalyoun, Omar – Educational Studies in Mathematics, 2021
Past studies have documented some pre-service teachers' (PSTs) difficulties in reasoning about sampling variability. This study adds to the body of literature by investigating the ideas that PSTs employ in reasoning about sampling variability, and by conjecturing what is behind the difficulties especially during the contextuality episodes. This…
Descriptors: Preservice Teachers, Abstract Reasoning, Sampling, Statistics Education
Bethencourt-Aguilar, Anabel; Castellanos-Nieves, Dagoberto; Sosa-Alonso, Juan-José; Area-Moreira, Manuel – Journal of New Approaches in Educational Research, 2023
In the context of Artificial Intelligence, Generative Adversarial Nets (GANs) allow the creation and reproduction of artificial data from real datasets. The aims of this work are to seek to verify the equivalence of synthetic data with real data and to verify the possibilities of GAN in educational research. The research methodology begins with…
Descriptors: Artificial Intelligence, Networks, Educational Technology, Educational Research
DeLooper, John; Gonsalves, Devika – Journal of Access Services, 2020
During the Fall 2017 semester, staff at the Hudson County Community College (HCCC), Library began to notice that many books listed as available in the catalog were often not being found on the shelves when patrons attempted to retrieve them. This situation puzzled library leadership because HCCC had recently conducted an inventory and removed all…
Descriptors: Academic Libraries, Community Colleges, Accuracy, Library Materials
Özmen, Zeynep Medine; Güven, Bülent – Journal of Pedagogical Research, 2022
The present study aimed to remediate pre-service teachers' misconceptions about sampling distributions and to develop their conceptual understanding through the use of conceptual change texts (CCTs). The participants consisted of 84 pre-service teachers. To determine the pre-service teachers' conceptual understanding of sampling distributions, an…
Descriptors: Preservice Teachers, Mathematics Teachers, Sampling, Statistical Distributions
Niebaum, Jesse C.; Kramer, Anne-Wil; Huizenga, Hilde M.; van den Bos, Wouter – Developmental Psychology, 2022
Making better decisions typically requires obtaining information relevant to that decision. Adolescence is marked by increasing agency in decision-making and an accompanying increase in impulsive decisions, suggesting that one characteristic of adolescent decision-making is a tendency to make less-informed decisions. Adolescents could also be…
Descriptors: Secondary School Students, Undergraduate Students, Adolescents, Young Adults
Aslam, Sarfraz; Saleem, Atif; Kennedy, Teresa J.; Kumar, Tribhuwan; Parveen, Khalida; Akram, Huma; Zhang, BaoHui – SAGE Open, 2022
Although STEM is an essential feature of 21st-century education and learning, there is a lack of awareness about it in Pakistan, especially at the K-12 and tertiary levels. Recently many initiatives have been launched across Pakistan to create more interest in STEM education. In order to assist in raising the level of STEM awareness in Pakistan,…
Descriptors: Foreign Countries, STEM Education, Educational Research, Research Needs
Korkman, Hamdi; Tekel, Esra – International Journal of Contemporary Educational Research, 2020
The aim of the study is to examine the mediating role of empathy in the relationship between rational and experiential thinking styles and was designed in a correlational design. The sample of the study consists of 593 university students who were determined by simple random sampling method. Emotional Intelligence Questionnaire--Short Form,…
Descriptors: Empathy, Emotional Intelligence, Cognitive Style, College Students
Johnsen, Sarah; Watson, Kristen; Erford, Bradley T.; Crockett, Stephanie A.; Byrd, Rebekah – Counselor Education and Supervision, 2021
Patterns of articles published in "Counselor Education and Supervision" from 2000 to 2019 were reviewed, and analyses sought to identify trends over time in author characteristics (e.g., gender, work setting, leading individual contributors and universities) and article characteristics (e.g., type, topic, research design, sample size,…
Descriptors: Counselor Training, Supervision, Authors, Gender Differences