In this paper, we initially investigate the capabilities of GPT-3 5 and GPT-4 in solving college-level calculus problems, an essential segment of mathematics that remains under-explored so far. Although improving upon earlier versions, GPT-4 attains approximately 65% accuracy for standard problems and decreases to 20% for competition-like…

This study aimed to develop a valid and reliable scale for determining teachers' needs to increase their efficiency in professional practice. The stages of creating an item pool, consulting expert opinions, pilot testing, and conducting validity and reliability analyses were followed. Initially, a 46-item pool was created based on a literature…

Bayesian Knowledge Tracing (BKT) is a well-established model for formative assessment, with optimization typically using expectation maximization, conjugate gradient descent, or brute force search. However, one of the flaws of existing optimization techniques for BKT models is convergence to undesirable local minima that negatively impact…

This study develops and validates the fifteen-item Turkish version of the Career Adapt-Abilities Scale Short Form (CAAS-5-SF) with a cooperation dimension. The data of the study were collected from 1.575 different high school students (aged between 15 and 18 years) in Turkiye. It has been observed that the scale has acceptable validity and…

Diffusion is a critical component of the Physiology Core Concept of flow down gradients and is fundamental to understanding how ions, gases, or signaling molecules travel short distances in the body. When asked about diffusion, students often reason successfully using the "things move from areas of high to low concentration" heuristic…

This study aimed to develop and validate the Creative Problem-Solving Skills Test (CPSS-T), grounded in Torrance's creativity theory, to assess these skills in university students. The CPSS-T consists of five open-ended question types, each designed to measure different aspects of creative problem-solving: Alternative Use, Hypothetical Scenario,…

Recent research suggests that working with generative artificial intelligence (AI), such as ChatGPT, can produce more creative outcomes than humans alone. However, does AI retain its creative edge when humans have access to alternative information sources, such as another human or the internet. We explored this question in a between-group…

This research is a comprehensive mixed-methods study that aims to examine in depth the correlations between science teachers' research literacy, socio-scientific reasoning, and problem-solving skills. The quantitative phase of the research was conducted using a descriptive survey method, while the qualitative phase employed a case study design.…

Transdisciplinary thinking is crucial for addressing global challenges, yet standardized assessment tools for high school students are lacking. This study addresses this gap by developing and validating a transdisciplinary thinking scale (TTS) tailored for this demographic. Following established methodologies, the TTS was crafted through expert…

This study aims to investigate the role of social support--specifically from family, teachers, and peers--in enhancing computational thinking (CT) abilities among elementary school students. Grounded in social support theory, the scales related to teacher, parental, and peer support were adapted from the PSIA test. After ensuring their reliability…

The rapid advancement of educational technologies in recent decades has underscored the increasing importance of digital literacy (DL) as a core competency for all students, as recognised in various educational policies and programs. Evaluating students' DL is crucial for providing valuable insights to guide future educational initiatives. This…

Although many social-emotional learning (SEL) surveys exist for the general student population, students with learning disabilities (SwLD) are often excluded during the survey development process, and the current SEL surveys often overlook critical SEL competencies for SwLD (e.g., self-advocacy), necessitating an SEL survey for SwLD. To address…

Background: One area that has been dramatically changed by artificial intelligence (AI) is educational environments. Chatbots, Recommender Systems, Adaptive Learning Systems and Large Language Models have been emerging as practical tools for facilitating learning. However, using such tools appropriately is challenging. In this regard, the…

A multiple regression analysis was conducted to investigate what variables may predict the student's self-perceived proficiency in mathematics. Hence, this quantitative cross-sectional survey design aimed to explore the factors predicting the student's self-perceived proficiency in mathematics using gamified instruction. Two hundred twenty-five…