The article demonstrates how a questionnaire gauging students' experiences of participation in decision-making at their school can operationalise student participation in a whole school approach (WSA) to education for sustainable development model. Some 902 students in three upper secondary schools participated in the study by giving their answers…

It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation to grow up surrounded by AI, to understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made to engage youth in understanding AI through…

The current study sought to test hypotheses derived from the social cognitive model of career self-management (CSM; Lent & Brown, 2013) applied to the process of career exploration and decision-making. We examined how well personality traits, contextual factors, and social cognitive predictors, collectively, account for exploration behavior…

A recent study conducted by the American Psychological Association (APA) on school violence observed an emerging trend of in-school violence committed by students on school faculty and staff (McMahon et al., 2022). As a result, educators have increasingly factored student-related violence on adult stakeholders in their decisions regarding teacher…

Preparing students for science, technology, engineering, and mathematics (STEM) education is one of the United States' K-12 educational concerns (Gandhi et al., 2016). Despite the National Science Foundation's (NSF) report that the number of students participating in STEM fields continues to increase, the number of underrepresented students…

Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…

Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

In this research, quotient strategies and their influence on decision-making in situations that involve the comparison of probabilities are analyzed. In order to achieve this, classical probability situations modeled with urns were designed. In each situation, two urns with simple extraction, involving or not proportional relationships, were…

Social and emotional learning (SEL) skills such as growth mindset and perseverance have always been important for learning mathematics, but educators are not always explicit about how or intentional about integrating them into math classrooms. In the North East Independent School District in San Antonio, Texas, they are working to change that. Two…

This review study synthesises 28 empirical research articles emphasising the learning of morality aspects in the context of addressing socioscientific issues (SSI) in secondary science education. The key interrelated questions we seek to address in this study are how morality is conceptualised in the science classroom in the light of emerging…

With the declining number of students interested in pursuing STEM courses such as Bachelor's Degree in Biology as evidenced by low enrollment, HEIs currently offering and those which intend to offer the academic degree program are competing and looking for ways to increase their competitiveness. Hence, several efforts have been made in response to…

Teachers make many important decisions about instruction during the process of planning. While educational researchers have extensively explored teacher planning, this research has largely neglected the ways teachers attend to subject matter while planning. We first explore ways a sample of 13 experienced secondary biology teachers attend to…

This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students' work is based on a…

This study aims to develop a comprehensive HEI choice intention (CI) model to understand how social influence (SI), brand equity (BE), and HEI factors influence attitude toward HEI (HEIA) as well as how the HEI attitude is a mediator of the relationship of these variables with the HEI CI. Data collected from 1633 high school seniors via online…

The current study aimed to make students discover the multidimensional structure of Socio-scientific Issues (SSI) using the SEE-STEP model. Nine-step module has been designed to help students' discover the aspects of the SSI in the implementation process of the research. This research was based on qualitative methodology in determining the study…