Generative artificial intelligence (GenAI) has quickly become prolific in our daily lives, including the higher education sector. Although an AI-fuelled world is unpredictable, there is an urgent need to understand how university students use GenAI to support their learning and the factors influencing GenAI adoption. In this study, underpinned by…

Artificial intelligence (AI) applications, including machine learning (ML), have received attention in education, and generative AI-powered chatbots have been adopted in diverse educational settings worldwide. However, the actual use of and perception regarding generative AI chatbots by learners have been under-investigated. To better prepare for…

With the pervasiveness of laptops in the classroom setting, the effectiveness of laptop-assisted note-taking has not been comprehensively investigated. Many inconsistencies in this area still existed with intense debate towards academic performance, learning strategies, and student satisfaction. To fill this missing gap, this study probed the…

This study aimed to explore the effect of learner-generated digital materials on students' deep learning approach and self-efficacy. A quasi-experimental design that involves a pre-test, a post-test, a control group and an experiment group was used in this study which involved 51 students (25 students participated in the control group and 26…

The growing integration of artificial intelligence (AI) tools into English as a foreign language (EFL) instruction presents new opportunities for fostering students' self-regulated learning (SRL) and task engagement (TE). While prior research has shown that AI-assisted environments can enhance metacognitive monitoring and learning motivation,…

Creative thinking is an unorthodox way of thinking to produce fresh and new ideas. Creative thinking can be trained using innovative learning strategies. This study aimed to explore creative thinking aspects in the Digital Mind Maps (DMM) created by Universitas Islam Riau, Indonesia, students who were enrolled in Human Anatomy and Physiology…

Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of…

A worked-out or an open inventing problem with contrasting cases can prepare learners for learning from subsequent instruction differently regarding motivation and cognition. In addition, such activities potentially initiate different learning processes during the subsequent ("future") learning phase. In this experiment (N = 45…

Our research aimed to investigate the potential learning benefits to young children of implementing digital interactive multimodal technologies that provide both visual and haptic experiences in elementary mathematics classrooms. We studied the ways in which fourth-grade students collaboratively create collective strategies for solving…

As a first step toward automatic feedback based on students' strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students' gazes. A previous study showed how students' task-specific strategies can be inferred from their gazes. The research question addressed in the present article is how data…

This qualitative case study examines the cultural adaptation of digital learning tools in Israeli higher education. We explored three questions: (1) How do lecturers experience and implement digital learning tools? (2) What unique challenges and opportunities arise in this cultural context? (3) What strategies do educators employ for culturally…

ICT-based learning provides opportunities for teachers and students to learn digitally, as well as letting the students become autonomous learners. One of the efforts to actualize such typical learning mode is to provide digitalized learning media, such as e-Books. An e-Book of metacognitive learning strategies aimed to train students'…

This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…

Learning metabolic pathways is vital for understanding biochemical processes and all of their implications for life. Their learning in the virtual environment is complex and generative learning strategies, such as the construction of online conceptual maps, can help in this process. This article presents a proposal for the collaborative…

The current study aims to determine the effect of teaching a mechanic neuro-computerized course through virtual learning environments (VLE) to develop computational thinking among mathematics pre-service teachers. The neuro-computerized virtual learning environments (NCVLE) model was designed to be used to teach the mechanics course to third-year…