In this study, 210 articles were reviewed from two databases--Web of Science and Scopus--using the systematic literature review method, following the PRISMA (preferred reporting items for systematic reviews and meta-analyses) selection and analysis process. Through systematic literature review and statistical analysis of empirical research…

Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…

The recommendation of courses in an online educational system is done using different factors that include course length, duration, and learning material information. The course design is based on the instructor's teaching style, which may not necessarily correspond with the various learning preferences of students. Matching the learning style of…

This research aimed to determine the factor that had the most significant contribution to students' motivation to learn English and the predictors of each element in the L2 Motivational Self System (L2MSS) model in the Vietnamese context. Quantitative results were collected from 231s to year English major students via the survey questionnaire…

Background/purpose: The contemporary educational landscape, shaped by technological advancements, demands that pre-service teachers cultivate creative thinking to design engaging learning experiences. This study addresses this need by investigating the efficacy of a pedagogical model that integrates Project-Based Learning (PjBL) and e-modules. The…

Tertiary institutions are migrating away from didactic and teacher-centred approaches, and instead, pivoting to lesson designs that encourage hands-on learning and student engagement. However, this practice is often "try and see", with few frameworks providing evidence-based approaches for practical application that demonstrates how…

Collaborative learning provides learners with significant opportunities to collaborate on solving problems and creating better products. There has been a growing utilization of adaptive and intelligent systems to support productive learning while promoting collaborative practices. One of the core capabilities of these adaptive and intelligent…

Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…

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…

Recent technology advancements and the COVID-19 pandemic accelerated the need for educators to transition from in-person to virtual and blended learning experiences, requiring instructors to take on multiple roles, including acting as instructional designers in many cases. To address this challenge, the Cross-Modalities Instructional Design Model…

Multimodal learning analytics (MMLA) research has made significant progress in modelling collaboration quality for the purpose of understanding collaboration behaviour and building automated collaboration estimation models. Deploying these automated models in authentic classroom scenarios, however, remains a challenge. This paper presents findings…

As a high-impact educational practice, service-learning has demonstrated success in positively influencing students' overall development, and much work has been done on investigating student learning outcomes from service-learning. A particular direction is to model students' learning outcomes in the context of their learning experience, i.e., the…

The concept of lifelong learning is becoming increasingly important in contemporary educational research and development. Although the relationship between experience (practice) and knowledge (theory) is becoming an important aspect of the formal learning process, current instructional design models do not point to educational strategies that…

The purpose of the study is to present the Beehive Interactive Learning Model (BILM) and to provide an example of its application in an undergraduate statistics course. The model is developed by the researcher, who is a professor in Educational Measurement and Evaluation area in Turkey with over 15 years of teaching experience. The model is based…

Climate change is of great concern to all age groups but in particular to children. "Simple" climate models have been in place for a long time and can be used effectively with post-16 students. For younger children, modifications are required, and we describe in this paper the development and use of two such models. The first (the Granny…