The rapid expansion of Artificial Intelligence (AI) in our society makes it urgent and necessary to develop young students' AI literacy so that they can become informed citizens and critical consumers of AI technology. Over the past decade many efforts have focused on developing curricular materials that make AI concepts accessible and engaging to…

Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…

This work proposes a new approach for measuring long-term conceptual knowledge based on the after-instruction evolution of students' answers to a research-based, multiple-choice, single-response test. The method allows for a quantitative determination of the fraction of students that, after instruction, attain long-lasting and temporary learnings,…

Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple-choice instruments introducing the module analysis for multiple-choice responses (MAMCR) algorithm. Wells et al. proposed an extension to the algorithm which allowed the analysis of large datasets called modified…

Informal learning environments, such as museums, provide unique opportunities for science learning. They are deliberately designed to impact public understanding of science and shape visitors' attitudes and behaviors. As a developing technology, augmented reality (AR) offers the transformative potential to support museums' educational missions by…

Training programs, in industry, are a common way to increase awareness and change the behavior of individuals. The most popular way to determine the effectiveness of the training on learning outcomes is to administer assessments with Multiple Choice Questions (MCQ) to the participants, despite the fact that in this type of assessment it is…

This paper extends prior work establishing an operationalized framework of mathematical sense making (MSM) in physics. The framework differentiates between the object being understood (either physical or mathematical) and various tools (physical or mathematical) used to mediate the sense-making process. This results in four modes of MSM that can…

Module analysis for multiple-choice responses (MAMCR) was applied to a large sample of Force Concept Inventory (FCI) pretest and post-test responses (N[subscript pre] = 4509 and N[subscript post] = 4716) to replicate the results of the original MAMCR study and to understand the origins of the gender differences reported in a previous study of this…

Researches worldwide have so far provided weighty testimony to the fact that reciprocal teaching produces better efficacy in terms of imparting education including teaching the four skills of a language. On this consideration, the current study seeks to explore if reciprocal teaching enhances the extent of reading skill among undergraduate…

This study aimed to develop a learning progression (LP) for botanical literacy and assess the impact of a garden-based education course on Thai pre-service science teachers (n = 49). The inquiry- and community-based education course was taught over a 15-week period. To measure botanical literacy, a 50-item multiple-choice test was employed. A…

Education research has repeatedly shown that active learning in physics is pedagogically more efficient than traditional lecture courses. Widespread application of the active learning is slowed down by the lack of data on the performance of the active learning in widely varying circumstances of different educational systems. We measured the level…

Genetics as a core concept of life science is essential for understanding biology. Examining genetics understanding among biology majors is becoming important since they must necessarily achieve some level of genetics understanding to advance their career. This study compares Indonesian biology majors' genetics understanding with previously…

The research aimed to uncover the effect of JiRQA learning a model of based gender on students' achievement at the environmental pollution material. The method was quasi-experimental using of 2 x 2 factorial. The population was all students at junior high school from Ketungau Tengah, Indonesia. The samples were 120 students from two separate…

Student insight into algebraic formulas, including the ability to identify the structure of a formula and its components and to reason with and about formulas, is an issue in mathematics education. In this study, we investigated how 16- and 17-year-old pre-university students' insight into algebraic formulas can be promoted through graphing…

Model analysis provides a mechanism for representing student learning as measured by standard multiple-choice surveys. The model plot contains information regarding both how likely students in a particular class are to choose the correct answer and how likely they are to choose an answer consistent with a well-documented conceptual model.…