Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning…

Handheld devices are widely applied to support open and distributed learning, where students are diverse. On the other hand, customization and personalization can be applied to accommodate students' diversities. However, paucity of research compares the effects of customization and personalization in the context of handheld devices. To this end, a…

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…

In the past decade, a number of personalized learning systems have been developed and they mainly focus on learners' prior knowledge. On the other hand, previous research suggested that gender differences and cognitive styles have great effects on student learning. To this end, this study examines how human factors, especially gender differences…

The present study investigated the effectiveness of the Glogster and cooperative learning as differentiation models of English as a second/foreign language (ESL/EFL) and Science projects. The study employed a mixed method study design whereby questionnaire and openended interview were incorporated to elicit the required data. Eighteen teachers…

This paper describes a dataset with data from three individually randomized educational technology experiments on differentiation, formative testing and feedback during one school year for a group of 8th grade students in the Netherlands, using administrative data and the online motivation questionnaire of Boekaerts. The dataset consists of pre-…

Studies have shown that when K-12 school districts implement a new technology initiative, it is not always accompanied by effective teacher professional development (PD). Many teachers have indicated that effective technology PD experiences should incorporate their individual PD needs. The authors surveyed technology-using K-12 teachers at two…

The study integrated self-paced mobile learning (m-learning) into a language course, and examined what impacts were being produced on learners' reading comprehension and student satisfaction resulting from the instruction with m-learning integration. The self-paced, learner-centered mobile learning integration instruction (MLI) was compared with…

Past research has established that children typically learn better from live demonstrations than from two-dimensional (2D) media. In the present set of experiments, we investigated the efficacy of a new 2D learning medium-the self-paced slideshow. A primary goal was to determine whether the "video deficit effect" extended to self-paced…

Despite the proliferation of social media, few learners make effective use of digital technology to support their learning or graduate with the skills necessary for developing and communicating their expertise in the knowledge-driven networked society of the digital age. This article makes use of the concept of Personal Learning Environments (PLE)…

One teaching style gaining popularity is the flipped classroom model of instruction. In this model, what generally occurs during class time, such as lectures and demonstrations, occurs at home, and assignments typically completed out of class occur during class. Currently, there is a dearth of research about the effectiveness of this instructional…

Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia.…

Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…

In this paper, we present the results obtained using a clustering algorithm (Expectation-Maximization) on data collected from 106 college students learning about the circulatory system with MetaTutor, an agent-based Intelligent Tutoring System (ITS) designed to foster self-regulated learning (SRL). The three extracted clusters were validated and…

The purpose of this research was to determine if reading specialist candidates improve the reading proficiency of their students through the use of digital, technology-based teaching techniques and materials. The candidates were certified teachers who provided individualized and small-group instruction to K-6 children while the candidates were…