Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…

This paper explores the experiences and learning outcomes of preservice elementary teachers (PSTs) as they integrate computational thinking (CT) into their teaching practices during a structured field experience. Through a qualitative content analysis of video reflections from 27 PSTs, the study examines how teaching CT lessons to K-2 students…

This study developed a Learning Materials Repository Hub (LMRH) to digitize educational resources for the K-12 education system, addressing the need for centralized, high-quality, and accessible learning materials. Using a developmental research approach, Graduate School students created Digitized Learning Materials (DLMs) aligned with the Most…

Generative AI has stormed the education community worldwide. Gen-AI's potential to assist teachers in providing feedback to students is the focus of the current research. Specifically, the research investigated how similar or different AI-generated feedback was from teacher feedback, and whether there were differences in students' responses to the…

This article introduces my C.H.A.T.S. model (Conversational, Holistic, Authentic, Transformative, Situated), a novel pedagogical framework I designed to revolutionize language learning and teaching through the strategic integration of Artificial Intelligence (AI) and conversational chatbots with established learning theories. The model addresses…

While there are laudable studies on the challenges of flipped learning and hybrid models adopted during the COVID-19 pandemic, limited studies exist on the advancements achieved through digitally enhanced learning. Eliciting information from preservice teachers on their experiences while switching to different learning environments during the…

Artificial intelligence (AI) is here and seems on the brink of transforming education. As teachers, we know that AI will not diminish the need for students to learn essential skills. It will, however, change how we teach and will require us to develop new skill sets for instruction and assessment. Teachers have a new opportunity--to embrace…

A knowledge gap exists regarding the faculty's dynamic selection and modification of emotion regulation strategies to reduce negative emotions in synchronous teaching. This study conducted semi-structured interviews with 16 teachers at higher education institutions in China, focusing on their handling of the negative emotions that arose from poor…

This study aims to integrate the technology acceptance model, classroom environment theory, and positive psychology theory to explore the relationships among learners' technology acceptance (TA), perceived online classroom environment (POCE), emotional states (enjoyment, anxiety, boredom, and burnout), and academic achievement in online classes.…

The coronavirus disease 2019 pandemic has affected higher education institutions worldwide as they had to switch from face-to-face to online teaching almost overnight. This abrupt change made a huge impact on teaching, learning, and particularly, student engagement. This paper focuses on online social presence as an element of student engagement,…

The relationship between technology and educational processes is a complex one. At this moment, increased digitization as well as efforts to limit the use of digital tools can be observed. In view of (a) deepening our understanding of the relationship between technology and educational processes and (b) strengthening the productive educational use…

In this qualitative research article, we examine the feasibility and perceptions of a remote early learning program and the Ahlan Simsim Families parenting program in hard-to-access areas of Lebanon. Our research targets Syrian refugee families dealing with the economic aftermath of the COVID-19 pandemic, including the resulting social tensions…

This study aims to investigate the effects of competition through a digital leaderboard in gamified online discussions on learners' behavioral and cognitive engagement in learning. Twenty-three graduate students pursuing master's degree in instructional technology in a public university in Indonesia were involved in a five-week quasi-experiment (N…

Background/purpose: This research aims to identify the key factors influencing the successful implementation of information systems in universities, especially in Indonesia. The main focus of the research is on work efficiency, collaboration, decision-making, and output quality in the context of university information systems. Materials/methods:…

The dynamic relationship between e-learning, culture, and tradition has become a compelling field of study due to the ongoing transformation of educational milieus through technology-driven learning. This study aims to identify and analyse patterns in research publications, active institutions, the impact of citations, and keywords on the…