This study focuses on computer-based formative assessment for supporting problem solving and reasoning in mathematics. To be able to assist students who find themselves in difficulties, the software suggested descriptions - diagnoses - of the encountered difficulty the students could choose from. Thereafter, the software provided metacognitive and…

This study explores the integration of ChatGPT, OpenAI's conversational AI, into English as a Foreign Language (EFL) classrooms at Korean universities, focusing on student interactions and language learning strategy preferences. It categorises interactions using the Strategy Inventory for Language Learning (SILL) and Strategic Self-Regulation…

This study investigates sixth-grade students' explorations of tessellations with Scratch through the mathematical aesthetics. For this purpose, the study analyzed the students' explorations by considering the roles of mathematical aesthetics identified by Sinclair (2004): generative, evaluative, and motivational role. Six middle-school students…

Purpose: In recent years, digital projects have created tools for learning languages, such as mobile applications (apps). In contexts where the language has low prestige, innovative digital learning tools can support language revitalisation. This article takes the Australian Kaytetye Indigemoji app as a case study in community resource…

Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of…

Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions--like data distribution in statistical analysis. Besides, it provides…

Digital mediation strategies are key soft skills to develop amongst students as they prepare to interact in increasingly collaborative settings, socially and professionally. Defined as a set of communication strategies deployed to reach mutual agreement over a dispute, mediation enables students' cooperation in task-based language teaching…

This study examines the strategies used by teachers during a series of self-directed online learning (SDOL) experiences. Over a period of four months, the authors met with 12 practicing elementary teachers three separate times. During the meetings, the teacher participants informally used the internet for their professional learning in literacy.…

The purpose of this study is to examine cross-national differences in students' exploration strategies in a computer-simulated CPS (complex problem-solving) environment and to identify similarities and qualitative differences in the way Hungarian and Chinese students explore a CPS environment. In a sample of 187 Chinese and 835 Hungarian students…

Professional Identity Formation (PIF) is considered a crucial process in medical education. It involves how medical students identify their role as physicians, discover their professional positioning, and gradually develop their professional identity through social interactions. This qualitative descriptive study adopted the phenomenological…

In the 21st century, teaching and learning mathematics courses witness significant expansion and development of technology use, which creates a shift from teacher-centred to student-centred learning engagement. Student engagement (SE) faces many challenges of poor performance and student difficulty in solving simultaneous equations involving…

This study examined the use of Audacity software to improve the pronunciation of regular verbs in the past tense. The participants were 30 advanced English as a Foreign Language (EFL) students of the English major of Universidad Tecnica Particular de Loja (UTPL), Ecuador. A mixed-method approach was used to gather qualitative and quantitative data…

Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…

Purpose: This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management…

Practicing retrieval of vocabulary items from memory (e.g., with flashcard software or practice tests) is an effective study strategy to remember vocabulary over time. Retrieval practice is often implemented in digital learning environments that increasingly include multimedia (i.e., combining textual and pictorial information). However, it is…