Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…

By creating specific prompts, educators can harness the power of AI models to generate tailored content, provide instant feedback, and simulate real-world scenarios for deeper learning engagement. Whether it's creating personalized lesson plans, generating creative writing prompts, or assisting with problem-solving exercises, generative AI creates…

Adaptive Learning, as a new online learning environment, intends to individualize the learning experience for each individual learner. Adaptive Learning suffers many shortcomings, as the date of the publication of this dissertation, however, it is considered the next generation of the learning environment for at least the next twenty years;…

Motivation and self-regulation are significant concerns in learning environments that include mechanics of gamification and self-pacing such as in quest-based learning (QBL). QBL is a gamified learning environment designed around quest-like activities, self-pacing, and an external reward system that was offered in an introductory educational…

Ten years ago, Salman Khan, with three degrees from MIT and an MBA from Harvard, agreed to help tutor his cousin Nadia, who was struggling in math. Using Yahoo's Doodle notepad, Khan offered Nadia a sequence of mini lessons designed to scaffold her learning. Over time, other friends and relatives heard about Khan's success and asked for similar…

What is on the five-year horizon for K-12 schools worldwide? Which trends and technologies will drive educational change? What are the challenges that we consider as solvable or difficult to overcome, and how can we strategize effective solutions? These questions and similar inquiries regarding technology adoption and transforming teaching and…

Many reports on rural education give little attention to digital learning. At most, they tend to note either infrastructure needs or the potential of remote course access, with little focus on instruction, outcomes, or exemplars. This report intends to begin correcting that imbalance by connecting the dots between rural regions, rural education,…

It is known that every learner is unique and that one-size-fits-all instruction does not work for most. How can a classroom environment be created that gives each learner voice and choice? The co-founders of Personalize Learning, LLC, offer a detailed six-step approach. This article provides the background on what is and what is not Personalized…

Most classrooms in the U.S. are composed of students with different learning styles and experiences as well as different achievement levels (Ferguson, 2001). Personalized learning is a unique way of students' learning determined by their own learning style, pace, and needs. Focusing on individual differences, personalized instruction aims to…

In this paper we examine how agency is characterised by teachers and students when personalised learning is enacted in the contemporary open classroom. A case study is outlined that identifies teacher reasoning for practice, the use of physical and virtual learning spaces, and student reaction to teacher facilitation of personalised learning.…

For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…

Developing personalised web-based learning systems has been an important research issue in e-learning because no fixed learning pathway will be appropriate for all learners. However, most current web-based learning platforms with personalised curriculum sequencing tend to emphasise the learner preferences and interests in relation to personalised…

Previous research of adaptive learning mainly focused on improving student learning achievements based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed by basing upon two main sources of personalization…

Many would agree that learning on the Web--a highly autonomous learning environment--may be difficult for individuals who lack motivation and self-regulated learning skills. Using a social cognitive view of academic motivation and self-regulation, the objective of the present study was to investigate the relations between students' motivational…

Considers new modes of course organization that are based on computers, videodisc players, compact disk players, and other components of interactive technology. Topics discussed include student control of content and pace, ways of learning, mastery courses, learning cycles, hypercourses (non-linear courses), and student organized courses. (17…