So far, knowledge convergence has been a widely neglected aspect of collaborative knowledge construction. Collaborative learners contribute their individual knowledge resources, discuss the contributions of their learning partners, and eventually synthesize their individual perspectives. In collaborative knowledge construction groups of learners may be characterized by convergence or divergence...

This paper proposes multimodal interfaces for a mobile learning system called SCROLL (System for Capturing and Reminding of Learning Log). The system is designed to help learners to record what they have learned (called as learning log) and recall their learning logs by providing them with quizzes. With the help of multimodal interfaces, learners can interact with the system by speech and body ...

l2 learners’ multiple intelligences (mi) profile plays a central role in theirperformance on different aspects of language learning, one of which is the use oflanguage learning strategies (llss). gaining insights into the relationship betweenmi and llss makes l2 teachers better understand their learners’ strengths andweaknesses in the use of such strategies and lets them guide the learners bett...

The present study was conducted to investigate how EFL learners with distinct levels of emotional intelligence might benefit from Critical Thinking-based instruction and use different language learning strategies. A further concern of this study was to investigate the relationship among critical thinking, language learning strategy, and emotional intelligence of EFL learners. To this end, 88 EF...

In the age of information explosion, e-learning recommender systems (ELRSs) have emerged as the most essential tool to deliver personalized learning resources to learners. Due to enormous amount of information on the web, learner faces problem in searching right information. ELRSs deal with the problem of information overload effectively and provide recommendations by taking into consideration ...

Empowered by mobile computing, teachers and students can benefit from computing in more scenarios beyond the traditional computer classroom. But because of the much diversity of device specification, learning contents and mobile context existing today, the learners get a bad learning experience (e.g. rich contents cannot be displayed correctly) during ubiquitous learning (u-learning) environmen...

Previous research has demonstrated that causal learning is facilitated by observing interventions on a causal system (e.g., Lagnado & Sloman, 2002). Does the origin of these interventions influence learning? Sobel (2003) demonstrated that causal learning was facilitated when learners observed the results of their own interventions as opposed the results of another’s interventions, even though t...

Learners are demanded more self-regulatory capability to carry on effective online learning. Online course instructors attempt to stimulate online learners’ effective self-regulated learning (SRL) to support effective learning and enhance achievement. Knowing how the online learners learn in SRL loop will contribute to the effective course design and scaffolding. In this study, the learners fro...

In this paper, we describe a machine learning approach, ID3 Decision Tree Induction Algorithm, to analyzing and predicting learning style of learners on-line. Our goal is to adapt the interaction by choosing an appropriate presentation for the learners. One way to make a good adaptation is by extracting some knowledge about each learner such as learners’ behavior during a learning session, know...

This paper presents the results of experiment conducted to investigate the correlation, if any, between the learning style and cognitive traits which include working memory capacity of technical learners. Further, the experiment aimed to investigate the correlation between the learning style and performance of technical learners in web-based quizzes based on their styles over different subjects...