This study aimed to understand pre-service teachers' motivations and learning psychologies in language teaching. The study used a phenomenology pattern, a qualitative research method, to gather pre-service teachers' views about language teaching, motivations and learning psychologies during translation activities. The study group consisted of 42…

As technology dynamically progresses with new inventions, Augmented Reality (AR) technology emerges as one of the prominent inventions of the current technology development. This technology works by producing additional data including texts, animations, images, audio, and even haptic feedback embedded in the real world without manipulating the…

This dissertation describes a research program focused on investigating learning strategies that could prevent individuals from showing inferior motor performance when performing under psychological pressure, a phenomenon known as "choking under pressure." Choking has been studied from the perspective of different theories. Each theory…

In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…

Endocrine physiology is a complex subject for students. Game-based learning (GBL) and case-based learning (CBL) are active methodologies that are widely used because of their potential for motivation and greater proximity to the reality of modern students. We evaluated the effectiveness of GBL and CBL among veterinary medicine students compared…

As the key to STEM education, teachers' level of STEM literacy plays a crucial role in teaching and learning. The purpose of this study is to assess the current STEM literacy of science teachers in China. This is a survey study using a questionnaire instrument to gain both quantitative and qualitative data. The quantitative data were analyzed by…

My dissertation examines undergraduates' online learning experiences during the COVID-19 pandemic through three distinct studies. The primary goal of my dissertation is to shed light on crucial aspects of social cognitive learning theories and learning experience design (LXD) applied in distance learning. These studies, using an LXD approach…

Background: Research shows distributed practice enhances learning and skill development, but less is known about the effect on perceptions and attitudes toward the material being learned. Objective: This study examined whether distributed practice could improve performance and attitudes in statistics, a subject that students report finding…

This study consists of a 17-year (2006-2021) systematic literature review on the effective instructional strategies for developing Computational Thinking (CT) in primary school students (K-5). The aim of this paper is to identify instructional strategies that have been implemented and evaluated by means of a pre- and post-test, with the aim of…

Recently, there has been a rapid growth in the number of studies related to emotions and positive psychology constructs in language teaching and learning. However, there is scant research in the context of low exposure to English. Thus, the present study aimed to examine the relationship between Thai EFL secondary school learners' L2 positive and…

The transformative impact of generative artificial intelligence (GenAI) on educational environments has led higher education institutions to make radical changes in their curricula and teaching approaches. By integrating GenAI technologies into the educational process, students will be able to have rich learning experiences. However, students'…

The emergence of ChatGPT, a Generative AI program, has sparked discussions about its teaching and learning value, and concerns about academic integrity in higher education (HE). An extant review of the literature indicates that a scarcity of research exists on GenAI, specifically a synthesis of the official views, guidelines and articles of…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

While foreign language anxiety has received abundant empirical attention, its relationship with foreign language enjoyment and specific language skills is not clearly understood. The present study explores the relationships between Chinese EFL learners' foreign language listening anxiety (FLLA), foreign language enjoyment (FLE), and listening…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…