Teachers' professional competence has become a popular issue since the COVID-19 pandemic. Therefore, this study investigates teachers' professional competence, in terms of emotional intelligence (EI), adversity quotient (AQ), and organizational citizenship behavior (OCB), when teachers need to deal with abnormal situations, such as the COVID-19…

This case study examines an online introductory Spanish-English translation course focused on learning Spanish through machine translation. Fifty-three Spanish learners were guided by their teacher to rethink, reflect, and interpret what Google Translate offered. Quantitative and qualitative analyses of learners' reports and teacher feedback…

Connectivism is the thesis that knowledge is constituted of the sets of connections between entities, such that a change in one entity may result in a change in the other entity, and that learning is the growth, development, modification or strengthening of those connections. This paper presents an overview of connectivism, offering a connectivist…

In light of fast-growing popular, political and professional discourses around AI in education, this article outlines five broad areas of contention that merit closer attention in future discussion and decision-making. These include: (1) taking care to focus on issues relating to 'actually existing' AI rather than the overselling of speculative AI…

We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…

Two studies investigated change in computer science (CS) students' implicit intelligence beliefs. Across both studies, we found that the strength of incremental and entity beliefs changed across time. In Study 1, we found that incremental beliefs decreased and entity beliefs increased across the semester. Change in implicit intelligence beliefs…

Attending university for the first time can be a stressful experience for young Indian students leaving home for the first time. They must cope with academic and social demands, which can affect their subjective well-being. In Indian culture, people view 'body-mind' as being heredity, which might help to cope and enhance SWB. The present study was…

The application of artificial intelligence (AI) in STEM education (AI-STEM), as an emerging field, is confronted with a challenge of integrating diverse AI techniques and complex educational elements to meet instructional and learning needs. To gain a comprehensive understanding of AI applications in STEM education, this study conducted a…

Federal law requires that psychoeducational evaluations be comprehensive, and utilize variety of assessment measures that evaluate the child's functioning along academic and cognitive domains as well as life skills outside of the classroom (Wiley, 2014) . Previous research suggests the Thematic Apperception Test (TAT; Harvard University Press,…

Teachers' psychological well-being is linked to their classroom teaching and student development outcomes. Kindergarten teachers are generally subject to psychological stress and burnout, but mindfulness training programs may be a promising way to alleviate these issues. This pilot study used a mixed-methods design to evaluate the feasibility and…

As big data algorithm usage becomes more ubiquitous, it will become critical for all young people, particularly those from historically marginalized populations, to have a deep understanding of data science that empowers them to enact change in their local communities and globally. In this study, we explore the concept of critical machine…

The context for this paper is the "Synthetic Training Environment Experiential Learning -- Readiness" (STEEL-R) project [1], which aims to estimate individual and team competence using data collected from synthetic, semi-synthetic, and live scenario-based training exercises. In STEEL-R, the "Generalized Intelligent Framework for…

Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…

The purpose of this quantitative correlational study was to determine if principals' emotional intelligence has a relationship to their schools' climate. The problems addressed by this research was that leadership preparation programs do not include training and development in emotional intelligence as a leadership skill. In addition, school…

Multiple Intelligences are various skills and talents possessed by students in solving their learning problems so that students can solve learning problems amazingly. However, the application of Multiple Intelligences-based learning has not been widely applied in schools because not many people know the concepts and privileges of learning. And…