Learning programming via worked-examples: Relation of learning styles to cognitive load

This paper describes an experiment that compared learners with contrasting learning styles, Active vs. Reflective, using three different strategies for learning programming via worked-examples: Paired-method, Structure-emphasising, and Completion. The quality of the learners’ acquired cognitive schemata was assessed in terms of their post-test performance. The experiment investigated variations in learners’ cognitive load, taking both the learning strategies and the learners’ learning styles into account. Overall, the results of the experiment were inconsistent. In comparing the effects of the strategies during the learning phase, the study found significant differences in cognitive load. Unexpectedly, no differences were then detected either in cognitive load or in performance during the post-test (post-test). In comparing the effects of the learning styles during the learning phase and the transfer phase, medium effect sizes suggested that learning style may have had an effect on cognitive load. However, no significant difference was observed in performance during the post-test.     

E-Learning personalization based on hybrid recommendation strategy and learning style identification

Personalized learning occurs when e-learning systems make deliberate efforts to design educational experiences that fit the needs, goals, talents, and interests of their learners. Researchers had recently begun to investigate various techniques to help teachers improve e-learning systems. In this paper, we describe a recommendation module of a programming tutoring system - Protus, which can automatically adapt to the interests and knowledge levels of learners. This system recognizes different patterns of learning style and learners’ habits through testing the learning styles of learners and mining their server logs. Firstly, it processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the learners through mining the frequent sequences by the AprioriAll algorithm. Finally, this system completes personalized recommendation of the learning content according to the ratings of these frequent sequences, provided by the Protus system. Some experiments were carried out with two real groups of learners: the experimental and the control group. Learners of the control group learned in a normal way and did not receive any recommendation or guidance through the course, while the students of the experimental group were required to use the Protus system. The results show suitability of using this recommendation model, in order to suggest online learning activities to learners based on their learning style, knowledge and preferences.     

Web-based learning programs: Use by learners with various cognitive styles

To consider how Web-based learning program is utilized by learners with different cognitive styles, this study presents a Web-based learning system (WBLS) and analyzes learners’ browsing data recorded in the log file to identify how learners’ cognitive styles and learning behavior are related. In order to develop an adapted WBLS, this study also proposes a design model for system designers to tailor the preferences linked with each cognitive style. The samples comprise 105 third-grade Accounting Information System course students from a technology university in central Taiwan. Analytical results demonstrate that learners with different cognitive styles have similar but linear learning approaches, and learners with different cognitive styles adopt different navigation tools to process learning.     

A study on the use of computerized concept mapping to assist ESL learners’ writing

This study aims to examine the effect of using computerized concept maps during the pre-writing phase on learners’ writing performance. The research questions were: (1) What are the impacts of different computerized concept mapping treatments (no-mapping, individual-mapping, and cooperative-mapping) on writing performance for learners of different writing proficiencies (high-level, middle-level, and low-level)? (2) Does the quality of the concept maps constructed cooperatively exceed the quality of the concept maps constructed individually? (3) Does the map quality correlate to the learner’s writing performance?     

What we have here is a failure to communicate: the criticality of writing in online instruction

This article addresses how online instructors can improve their email communications with students. The characteristics and demands of online instruction are described and characterized as depending on the instructor’s ability to communicate in writing. A model to guide instructors in their online communications, the Golden Triangles of Online Communication, is presented. The first triangle underscores the criticality of considering (a) the online learning environment context, (b) the learner, and (c) the learning task. The second triangle presents three critical questions that instructors using online communications must quickly answer (a) What is this about? (b) Why should I care? and (c) What am I supposed to do? The Golden Triangles represent an effort to provide assistance to instructors in the difficult task of providing high quality instruction with high student satisfaction in online learning. In the final analysis, we underscore the importance of instructors’ writing skills in effective and appealing online in teaching.     

A learning style classification mechanism for e-learning

With the growing demand in e-learning, numerous research works have been done to enhance teaching quality in e-learning environments. Among these studies, researchers have indicated that adaptive learning is a critical requirement for promoting the learning performance of students. Adaptive learning provides adaptive learning materials, learning strategies and/or courses according to a student’s learning style. Hence, the first step for achieving adaptive learning environments is to identify students’ learning styles. This paper proposes a learning style classification mechanism to classify and then identify students’ learning styles. The proposed mechanism improves k-nearest neighbor (k-NN) classification and combines it with genetic algorithms (GA). To demonstrate the viability of the proposed mechanism, the proposed mechanism is implemented on an open-learning management system. The learning behavioral features of 117 elementary school students are collected and then classified by the proposed mechanism. The experimental results indicate that the proposed classification mechanism can effectively classify and identify students’ learning styles.     

A study on learning effect among different learning styles in a Web-based lab of science for elementary school students

The purpose of this study is to explore the learning effect related to different learning styles in a Web-based virtual science laboratory for elementary school students. The online virtual lab allows teachers to integrate information and communication technology (ICT) into science lessons. The results of this experimental teaching method demonstrate that: (a) students in the experimental group using the online virtual lab achieved better grades than those in the control group under traditional class instruction, (b) in the experimental group, grade achievements of students having different learning styles were not significantly different from each other leading us to conclude that the Web-based virtual learning environment is suitable for various learning styles, (c) students with the “accommodator” learning style made the most significant achievements in this study, the scores obtained by the experimental group being remarkably better than those in the control group, and (d) up to 75% of the students surveyed indicated that they preferred using the Web-based virtual lab to reading textbooks only. The results of the experimental teaching and the survey show the feasibility and effectiveness of the Web-based learning environment being studied. It encourages further development of the Web-based virtual lab.     

Learning styles and cognitive traits – Their relationship and its benefits in web-based educational systems

Different learners have different needs; they differ, for example, in their learning goals, their prior knowledge, their learning styles, and their cognitive abilities. Adaptive web-based educational systems aim to cater individual learners by customizing courses to suit their needs. In this paper, we investigate the benefits of incorporating learning styles and cognitive traits in web-based educational systems. Adaptivity aspects based on cognitive traits and learning styles enrich each other, enabling systems to provide learners with courses which fit their needs more accurately. Furthermore, consideration of learning styles and cognitive traits can contribute to more accurate student modelling. In this paper, the relationship between learning styles, in particular the Felder–Silverman learning style model (FSLSM), and working memory capacity, a cognitive trait, is investigated. For adaptive educational systems that consider either only learning styles or only cognitive traits, the additional information can be used to provide more holistic adaptivity. For systems that already incorporate both learning styles and cognitive traits, the relationship can be used to improve the detection process of both by including the additional information of learning style into the detection process of cognitive traits and vice versa. This leads to a more reliable student model.     

Comparing grades in online and face-to-face writing courses: Interpersonal accountability and institutional commitment

In spite of benefits surrounding distance education programs, many online writing courses suffer from low student completion rates. Student retention has been identified as a concern in a number of studies of online education. We extend this discussion by examining the relationship of assessment of student work to retention, and comparing the grades students receive in online and face-to-face undergraduate writing courses. Our data point to what we call the “thrive or dive” phenomenon for student performance in online writing courses, which describes the disproportionately high percentage of students who fail or do not complete online courses compared to conventional, face-to-face courses. We extend this discussion on challenges related to student retention and propose instructional approaches for online learning that include the interpersonal accountability between teachers and students, as well as the institutional commitment necessary to ensure that students can succeed in online writing courses and programs.     

Development of an adaptive learning system with two sources of personalization information

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 information, that is, learning behavior and personal learning style. To determine the initial learning styles of the students, the [Keefe, J. W. (1987). Learning Styles: Theory and Practice. Reston, VA: National Association of Secondary School Principals.] questionnaire is employed in our approach. To more precisely reflect the learning behaviors of each student, the interactions and learning results of each student are analyzed when adjusting the subject materials. Based on the innovative approach, an adaptive learning system has been developed; moreover, an experiment was conducted to evaluate the performance of our approach. By analyzing the results from three groups of students using different adaptive learning approaches, it can be found that the innovative approach is helpful in improving both the learning achievement and learning efficiency of individual students.     

Paying attention to adult learners online: The pedagogy and politics of community

Our article profiles the evolution of a fully online writing course designed for adult learners in our university's Prior Learning Assessment Program. Based on our own observations and experiences teaching adult learners online, we question if the virtual learning environment presents different challenges and prospects for the adult learner versus the traditional student learner, along with an extension and complication of the more social metaphors of “virtual community.” Moreover, because of the changing demographic from traditional to adult students, we argue that this change also fosters a change in the relationship between teachers and students. In chronicling this relationship, we note problems when the labor of adult education becomes invisible to those supervising online instructors. Because of these “invisible” labor issues, we argue that successful online instruction must include a range of interactions between students and instructors that extend the more public concept of community to better acknowledge the importance of personal, private interaction. Thus, we conclude with a call to rethink our online writing pedagogies to be more flexible to adult learner needs and learning styles, simultaneously recognizing the impact of adult online education on faculty workload.     

Students’ reflection on online self-correction and peer review to improve writing

Reflection is considered as a mental process of an individual’s internal problem-solving activity and rarely observed in face-to-face instruction. As a consequence, students have few opportunities to observe and learn from each other. This study aimed to arouse students’ reflection on both self-correction (one’s own problem-solving process in writing) and peer review (peers’ problem-solving process in writing) to improve their texts in an online system. A sample of 95 undergraduate students was recruited to write a reflective journal, which was analyzed by content analysis to compare their reflection on self-correction with peer review in writing. Results of this study revealed that reflecting on the differences between self-correction and peer review enabled students to monitor, evaluate, and adjust their writing processes in the pursuit of text improvement. In their reflective journals, students claimed that self-correction helped them detect grammatical errors (local revision) while peer review allowed them to view their own texts from others’ perspectives. Based on others’ perspectives, they could make further revisions on text development, organization, or style (global revision). Through reflection on self-correction and peer review, students were willing to provide further support to peers and learn from each other in the process of writing.     

A recommender agent based on learning styles for better virtual collaborative learning experiences

Almost unlimited access to educational information plethora came with a drawback: finding meaningful material is not a straightforward task anymore. Based on a survey related to how students find additional bibliographical resources for university courses, we concluded there is a strong need for recommended learning materials, for specialized online search and for personalized learning tools. As a result, we developed an educational collaborative filtering recommender agent, with an integrated learning style finder. The agent produces two types of recommendations: suggestions and shortcuts for learning materials and learning tools, helping the learner to better navigate through educational resources. Shortcuts are created taking into account only the user’s profile, while suggestions are created using the choices made by the learners with similar learning styles. The learning style finder assigns to each user a profile model, taking into account an index of learning styles, as well as patterns discovered in the virtual behavior of the user. The current study presents the agent itself, as well as its integration to a virtual collaborative learning environment and its success and limitations, based on users’ feedback.     

When humans form media and media form humans: An experimental study examining the effects different digital media have on the learning outcomes of students who have different learning styles

A set of computer-based experiments are reported that investigate the understanding achieved by learners when studying a complex domain (statistics) in a real e-learning environment using three different media combinations—Text only, Text and Diagrams and Spoken Text and Diagrams, and the results agree with earlier work carried out on more limited domains. The work is then extended to examine how student interaction and student learning styles affect the learning outcomes. Different responses to the media combinations are observed and significant differences occur between learners classified as Sensing and Reflective learners. The experiment also identified some important differences in performance with the different media combinations by students registered as Dyslexic. The experiment was therefore repeated with a much larger sample of Dyslexic learners and the earlier effects were found to be significant. The results were surprising and may provide useful guidance for the design of material for Dyslexic students.     

The relationship between learning styles and cognitive traits – Getting additional information for improving student modelling

Student modelling is an important process for adaptive virtual learning environments. Student models include a range of information about the learners such as their domain competence, learning style or cognitive traits. To be able to adapt to the learners’ needs in an appropriate way, a reliable student model is necessary, but getting enough information about a learner is quite challenging. Therefore, mechanisms are needed to support the detection process of the required information. In this paper, we investigate the relationship between learning styles, in particular, those pertaining to the Felder–Silverman learning style model and working memory capacity, one of the cognitive traits included in the cognitive trait model. The identified relationship is derived from links between learning styles, cognitive styles, and working memory capacity which are based on studies from the literature. As a result, we demonstrate that learners with high working memory capacity tend to prefer a reflective, intuitive, and sequential learning style whereas learners with low working memory capacity tend to prefer an active, sensing, visual, and global learning style. This interaction can be used to improve the student model. Systems which are able to detect either only cognitive traits or only learning styles retrieve additional information through the identified relationship. Otherwise, for systems that already incorporate learning styles and cognitive traits, the interaction can be used to improve the detection process of both by including the additional information of a learning style into the detection process of cognitive traits and vice versa. This leads to a more reliable student model.     

The development of an ESL OWL, or learning how to tutor writing online

This essay describes the development of an ESL OWL by grounding practices in language and literacy pedagogy theory. An initial discussion explores OWLs emulating physical writing center spaces. Two areas of concern are then addressed in meeting the needs of second language writers as they relate to practices and training for online tutoring: error correction—an area of frequent concern to second language writers—and increased interactivity—meeting second language writer expectations and creating autonomous learners. Issues of plagiarism by second language writers are discussed as related to the type of feedback OWL tutors can provide. Highlighted throughout are samples of interactions between tutors and writers that show a process of learning how to create dialogue rather than dictations from the tutor to clean up a single essay.     

The role of visually rich technology in facilitating children's writing

Abstract A significant sample of children in any class may be categorised as having a preferred visual learning style. The writing outcomes of a case study group of five upper primary children with a strongly preferred visual learning style were examined when the children were encouraged to write with the aid of a computer and a visually rich software medium. A constructionist classroom environment was established in which children were exhorted to dare to experiment, play and problem set, especially when using microworlds and laptop computers. The writing outcomes of this group grew in volume and linguistic complexity when the students were offered the opportunity to use the visual and animation features of the software at the same time as engaging in narrative writing tasks. These outcomes are situated in recent neuro-psychological theory of the role of the right brain hemisphere as a platform for language development and comprehension, and suggest the possible vital place of computers in the full realisation of their potential by children with a visually preferred learning style.     

The impact of computer‐based instruction on the development of EFL learners' writing skills

The current study investigated the application and effectiveness of computer assisted language learning (CALL) in teaching academic writing to Iranian EFL (English as a Foreign Language) learners by means of Microsoft Word Office. To this end, 44 sophomore intermediate university students majoring in English Language and Literature at an Iranian university who had enrolled in a course called Advanced Writing were randomly divided into two groups. As a pre‐test, a pen‐and‐paper writing task was given to both groups at the beginning of the semester. The control group including 24 male and female students was taught based on traditional approach while the experimental group including 20 male and female students was taught based on CALL. At the end of one semester, a pen‐and‐paper writing task was given to both groups. The results of the post‐test revealed that the students who were exposed to computer‐based instruction outperformed their counterparts in terms of using appropriate articles, tense, plural forms and spelling. Moreover, the students in the experimental group produced paragraphs of higher quality. The findings of this study confirmed the efficacy of computer‐based instruction in the development of EFL learners' writing skills.     

Re-embodying Online Composition: Ecologies of Writing in Unreal Time and Space

Using the ecological theories of writing proposed by Marilyn Cooper's “The Ecology of Writing” (1986) and Margaret Syverson's The Wealth of Reality: An Ecology of Composition (1999), this article describes a multi-step assignment sequence designed to engage online first year composition students across the ecological breadth of their writing and learning environments. The goal of the project is twofold: enriching students’ writing processes with a sophisticated understanding of the social situatedness of knowledge and rhetoric, we can simultaneously create high-functioning learning communities in an otherwise disembodied online learning space, not by upgrading our technological tools but by pedagogically guiding learners toward ecological and productively collaborative interactions with one another.