Effects of gender grouping on students’ group performance,individual achievements and attitudes in computer-supported collaborative learning

The purpose of this study was to examine the effects of gender grouping on students’ group performance, individual learning achievements and attitudes in computer-supported collaborative learning (CSCL). 588 undergraduate students enrolled in a digital design course were randomly divided into 147 four-student groups that fell into five categories according to the composition of group members’ gender, namely 4M (four males), 3M1F (three males and one female), 2M2F (two males and two females), 1M3F (one male and three females) and 4F (four females). Results indicated that: (1) For group performance, 2M2F and 4F groups significantly outperformed the other groups. (2) For individual learning achievements, no significant difference was found in females among different gender grouping interventions; however, males in mixed-gender groups performed significantly better than those in single-gender groups. (3) In terms of individual attitudes, males preferred mixed-gender, gender-balanced, and gender-majority grouping; however, females preferred single-gender and gender-minority grouping. (4) The effect of gender grouping mainly influences students’ attitudes, rather than performance. These findings provide evidence that female-only and balanced-gender grouping are two kinds of good grouping interventions that could be recommended for CSCL, and male-minority groups should be avoided because they led to the worst group performance and individual attitudes.     

Here and now mobile learning: An experimental study on the use of mobile technology

Mobile technology opens the door for a new kind of learning called here and now learning that occurs when learners have access to information anytime and anywhere to perform authentic activities in the context of their learning. The purpose of this study was to investigate the effects of here and now mobile learning on student achievement and attitude. The research questions addressed were (1) Does “Here and Now” mobile learning significantly improve student achievement when compared with Computer based Instruction? (2) Does “Here and Now” mobile learning significantly improve student attitude when compared with Computer based Instruction? (3) Are there differences in student achievement and attitudes when “Here and Now” mobile learning is delivered using a tablet versus ipod? 109 undergraduate students enrolled in preservice instructional design and instructional technology courses at a regional southeastern university participated in the study. Participants took a pretest at the beginning of the study, and then were assigned to one of the versions of an art lesson (CBI version and iPad/iPod version) which were developed using Lectora Inspire incorporating information on five different paintings in the education building. After the lesson, they completed the posttest and an attitude survey. ANOVA was conducted on data obtained from the achievement posttest and on the attitude survey results for the Likert type items (Items 1–12). Analyses on achievement and attitude data revealed positive significant differences. The CBI treatment achieved positive posttest scores on the posttest while the iPad/iPod treatments had positive attitudes. This study has implications for those designing and implementing mobile learning.     

Self-assessment and task selection in learner-controlled instruction: Differences between effective and ineffective learners

Learner-controlled instruction is often found to be less effective for learning than fixed or adaptive system-controlled instruction. One possible reason for that finding is that students – especially novices – might not able to accurately assess their own performance and select tasks that fit their learning needs. Therefore, this explorative study investigated the differences in self-assessment and task-selection processes between effective and ineffective learners (i.e., in terms of learning gains) studying in a learner-controlled instructional environment. Results indicated that although effective learners could more accurately assess their own performance than ineffective learners, they used the same task aspects to select learning tasks. For effective learners, who were also more accurate self-assessors, the self-assessment criteria predicted subsequent task selection. The results are discussed, particularly with regard to their potential to provide guidelines for the design of a self-assessment and task-selection training.     

Adjunct aids and signals support online learning from multiple representations

To achieve deeper understanding when learning from multiple representations, learners should actively select, organize and integrate the relevant information from text and graphics within a coherent mental representation. However, as learners often fail to select and integrate all relevant information, especially from graphics, they need specific instructional support. The current study investigated the effects of instructional support in the form of adjunct aids (i.e. fill-in-the blank tasks) with references to the graphics (e.g. “see Figure X”) on retention and understanding. In our study, 106 learners (N) received multimedia instructional materials about the formation of auroras either with or without adjunct aids – the former with references to graphics (signals), or with none. In line with our hypotheses, adjunct aids with signals led to deeper understanding, as reflected by higher scores in the comprehension test. In contrast, adjunct aids with signals did not lead to higher scores in the retention test. Thus, our results are in line with previous research, showing that instructional support for integrating text and graphics specifically fosters deeper understanding. Possible boundary conditions and implications for future research are discussed.     

Learning from instructional animations: How does prior knowledge mediate the effect of visual cues?

The purpose of this study was to investigate the effects of cueing and prior knowledge on learning and mental effort of students studying an animation with narration. This study employed a 2 (no cueing vs. visual cueing) × 2 (low vs. high prior knowledge) between‐subjects factorial design. The results revealed a significant interaction effect between prior knowledge and cueing on learning. Low prior knowledge learners had higher scores after studying an instructional animation with visual cues, compared to those who studied the same instructional animation without visual cues. Conversely, when cues were not provided, high prior knowledge learners outperformed those high prior knowledge learners who studied with the cued version of an instructional animation. These results indicated that the effects of cueing in an instructional animation change depending on the learners' level of prior knowledge. Specifically, low prior knowledge learners benefited more when visual cues were provided, whereas cues did not facilitate learning for high prior knowledge learners.     

Cognitive Modeling of Student Learning in Web-Based Instructional Programs

There has been tremendous growth in Web-based instruction over the past few years. Because the user group of Web-based instruction includes learners from heterogeneous backgrounds, individual differences become an important issue in the development of Web-based instructional programs. Among a variety of individual differences, cognitive style is a particularly important characteristic. This study aims to determine the relationships between learners' cognitive styles and their perceptions and attitudes toward the features of a Web-based instructional program. The results indicate that cognitive styles influence students' reactions to nonlinear interaction, independent learning, and navigation tools and the difficulties and problems that they encounter. The findings are applied to develop a learning model that can support the design of Web-based instructional programs.     

Different identity revelation modes in an online peer-assessment learning environment: Effects on perceptions toward assessors,classroom climate and learning activities

The effects of four different identity revelation modes (three fixed modes: real-name, anonymity, nickname and one dynamic user self-choice mode) on participants’ perceptions toward their assessors, classroom climate, and past experience with the learning activity in which they were engaged were examined. A pretest–posttest quasi-experimental research design was adopted. Eight fifth-grade classes (age 10–11, N = 243) were randomly assigned to four different identity revelation modes in order for them to participate in the study. An online learning system that allows students to contribute to and benefit from the process of question-generation and peer-assessment was adopted. Data analysis confirmed that different identity modes lead participants to view their assessors differently. Specifically, participants assigned to the self-choice and real-name identity revelation modes tended to view their assessors more favorably than those in the anonymity and nickname groups. The empirical significance of the study as well as suggestions for learning system development, instructional implementation and future study are provided.     

Cognitive tools,individual differences,and group processing as mediating factors in a hypermedia environment

Much research exists on how problem-solving in hypermedia is assisted through the use of navigational aids. However, as hypermedia becomes more pedagogically rich, the structural characteristics of hypermedia no longer serve merely as navigational aids, but often as cognitive tools. When cognitive tools are embedded in problem-solving hypermedia environments, the objective is the continuous active manipulation of cognitive tools in the problem space in order to gather information, test hypotheses, and develop a solution. The purpose of this study was to investigate cognitive tools, individual differences, and group processing as mediating factors when learners were engaged in problem-solving in a hypermedia environment. We specifically examined group patterns of cognitive tool use to determine in what ways the group patterns of tool use may affect students’ individual performance and experience of the problem-solving process. The findings provided some evidence to support a more contextual approach to individual cognition and learning; and emphasized the notion that a system of instructional variables interact to create optimal conditions for learning.     

Smart utilization of tertiary instructional modes

This empirical research surveys first year tertiary business students across different campuses regarding their perceived views concerning traditional, blended and flexible instructional approaches. A structural equation modeling approach shows traditional instructional modes deliver lower levels of student-perceived learning quality, learning experience and learning skills. A combination of on-line and face-to-face learning approaches, embedded across each course, yields far higher levels of total learning effects, and to explain differences in instructional approaches, a ‘Cone of Learning’ continuum is presented and discussed. Theoretical and practical research implications, and the measurement, theoretical and management aspects of future research options are presented. Tertiary institutions can adopt the approaches herein to assist in the development and build of smart targeted learning solutions – ones more in-line with the perceived needs of their respective student year levels and groups.     

Effects of spatial ability and richness of motion cue on learning in mechanically complex domain

This study seeks to examine the impact of individual differences in the spatial ability of learners to integrate verbal information and three modes of visual representations. Several hypotheses were tested, including that (1) individual difference in spatial ability should influence the learning of theoretical knowledge when the instructional materials present a static visual representation at the lowest motion cue richness, and (2) both animations and the static visual representation containing motion cues should be more effective than static visual representation, especially for learners with low spatial ability. In the experiment, 60 learners were classified as having either low or high spatial ability on the basis of their performance on the Kit of Factor Referenced Cognitive Tests. The learners got knowledge from written explanations describing a four-stroke engine mechanism in a computer-based format. Also, written explanations were reinforced by corresponding visual representations with three levels of motion cue richness (static images, static images with motion cues or animations). Understanding was measured by a problem-solving transfer test. The results indicate that (1) presenting written explanations with corresponding animations did not improve performance of the learners with high spatial ability, (2) for the learners with low spatial ability, learning was enhanced by the use of animations, (3) merely adding motion cues to the static visual representation did not improve learning of the learners with low spatial ability, and (4) use of animations did not help learners with low spatial ability more than those with high spatial ability.     

Are two heads always better than one? Differential effects of collaboration on students�� computer-supported learning in mathematics

While some studies found positive effects of collaboration on student learning in mathematics, others found none or even negative effects. This study evaluates whether the varying impact of collaboration can be explained by differences in the type of knowledge that is promoted by the instruction. If the instructional material requires students to reason with mathematical concepts, collaboration may increase students’ learning outcome as it promotes mutual elaboration. If, however, the instructional material is focused on practicing procedures, collaboration may result in task distribution and thus reduce practice opportunities necessary for procedural skill fluency. To evaluate differential influences of collaboration, we compared four conditions: individual vs. collaborative learning with conceptual instructional material, and individual vs. collaborative learning with procedural instructional material. The instruction was computer-supported and provided adaptive feedback. We analyzed the effect of the conditions on several levels: Logfiles of students’ problem-solving actions and video-recordings enabled a detailed analysis of performance and learning processes during instruction. In addition, a post-test assessed individual knowledge acquisition. We found that collaboration improved performance during the learning phase in both the conceptual and the procedural condition; however, conceptual and procedural material had a differential effect on the quality of student collaboration: Conceptual material promoted mutual elaboration; procedural material promoted task distribution and ineffective learning behaviors. Consequently, collaboration positively influenced conceptual knowledge acquisition, while no positive effect on procedural knowledge acquisition was found. We discuss limitations of our study, address methodological implications, and suggest practical implications for the school context.     

Motivation factors and barriers to the continuous use of blended learning approach using Moodle: students' perceptions and individual differences

ABSTRACT

Practitioners of blended learning encounter challenges on how to cater students individual needs and to increase their motivational involvement with the system. Therefore, this study aims to identify and evaluate the motivation factors and barriers that influence students' decisions to continue using blended learning based on Moodle platform. The study proposes a research model to gain a better understanding of students' behavioural attitudes, motivations, and barriers to the continuous use of blended learning. In addition, a multi-group analysis was conducted to examine individual differences between students from three different universities in Palestine. The findings provide a comprehensive understanding of students' behaviours and the investigated factors of the proposed model were truly significant in forming students' perceptions and reflecting their decisions to continue using such learning approach. Features of blended learning system were found to be the most significant motivational antecedents in relation to influencing students' perceptions and involvements in the learning environment, while perceived behavioural control and subjective norms were found to be the primary factors driving students' continuous use. Finally, the findings shed light on the impact of individual differences on students' perceptions and usage behaviours and suggest that these differences could be leveraged to provide adaptive usage decisions.     

Rotational perspective and learning procedural tasks from dynamic media

There have been conflicting accounts regarding the effectiveness of animations for learning. Procedural motor learning represents one of the few areas in which animations have consistently shown to be facilitative. Some have suggested that this benefit is related to activation of the mirror neuron system (MNS), with higher activation leading to better performance. This study examines this explanation, and observed the effects of instructional media (animation vs. static), as a function of viewing perspective (face-to-face vs. over-the-shoulder) on understanding a procedural motor task (knot tying). Results indicate that performance was significantly improved with animations over static images, however this appeared to be most pronounced in situations which matched the learners' own perspective (i.e., over-the-shoulder). These findings have implications for the design of instructional media for procedural motor tasks and provide confirmation of the assertion that appropriate activation of the perceptual system can be leveraged to increase performance.     

The instructional benefits of dynamic visualizations in the acquisition of basketball tactical actions

Recent studies exploring the effects of dynamic visualizations on learning compared with static visualizations have yielded mixed results. Procedural motor learning is one of the few fields in which dynamic representations have shown to be effective. Many of the studies have suggested that this advantage is mainly due to the activation of the “mirror‐neuron system.” This study explores this explanation in physical education domain and analysed the effects of instructional media (video vs. photographs), showing tactical actions in basketball, on learning outcomes (i.e., game understanding and game performance), cognitive load (i.e., mental effort invested and estimated difficulty), and attitudes (i.e., attention, enjoyment, engagement, and challenge) in secondary school students. For all of the indicators, the results show that learning from video was more effective than learning from photographs. These findings have implications for the effective design of instructional media and provide confirmation of the superiority of video for teaching tactical actions involving the entire body.     

Effects of an online learning community on active and reflective learners’ learning performance and attitudes in a face-to-face undergraduate course

The purpose of this study was to examine the effects of an Online Learning Community (OLC) on active and reflective learners’ learning performance and attitude in a face-to-face undergraduate digital design course. 814 freshmen in an introductory digital design course were randomly assigned to one of two treatments: one offered students an OLC, which required students to discuss their assignments and readings online and participate in certain online learning activities; the other one did not offer the OLC (NC: no online learning community), but required involving students in face-to-face discussion. Individual students’ learning styles were measured using Felder and Solomon’s Index of Learning Styles Questionnaire. Results indicated that both active and reflective learners in the OLC intervention performed significantly better than those who were in the NC intervention. Results also indicated that active learners performed significantly better than reflective learners in the NC intervention; however, reflective learners performed significantly better than active learners in the OLC intervention. No significant difference between active and reflective learners’ attitudes was found. These findings indicated that OLC might be an effective means for improving both active and reflective learners’ learning performance and attitudes; however, its effects on active learners might not be as great as on reflective learners.     

Understanding the ways in which design features of educational websites impact upon student learning outcomes in blended learning environments

This study investigated the effectiveness, in terms of the attainment of relevant learning outcomes, of the types of learning promoted by educational features commonly incorporated in course management systems. Twenty-one courses with significant use of the Internet, but with face-to-face teaching as the predominant instructional mode, were investigated. Five hundred and ninety-five students taking these 21 courses completed a questionnaire which gave feedback on the extent of use of and quality of implementation of internet features, as well as their perception of the attainment of outcomes relating to approaches to learning, communication skills and understanding of content. A confirmatory factor analysis of scales pertinent to information presentation and constructive dialogue features showed a very poor fit to the data, indicating that the two types of function did not act in concert. Structural equation modelling was used to test instructional models in presage–process–product format for ‘information’ and ‘dialogue’ features. The information one showed a marginal fit to the data, but the dialogue one a very good fit. This shows that using the Internet for presenting information in a blended environment does not seem to effectively help students achieve learning outcomes. Using features which promote constructive dialogue and interactive learning activities encourages a deep approach to learning, the development of communication skills and enhanced understanding of content.     

Agent-customized training for human learning performance enhancement

Training individuals from diverse backgrounds and in changing environments requires customized training approaches that align with the individual learning styles and ever-evolving organizational needs. Scaffolding is a well-established instructional approach that facilitates learning by incrementally removing training aids as the learner progresses. By combining multiple training aids (i.e. multimodal interfaces), a trainer, either human or virtual, must make real-time decisions about which aids to remove throughout the training scenario. A significant problem occurs in implementing scaffolding techniques since the speed and choice of removing training aids must be strongly correlated to the individual traits of a specific trainee. We detail an agent-based infrastructure that supports the customization of scaffolding routines as triggered by the performance of the trainee. The motivation for this agent-based approach is for integration into a training environment that leverages augmented reality (AR) technologies. Initial experiments using the simulated environment have compared the proposed adaptive approach with traditional static training routines. Results show that the proposed approach increases the trainees’ task familiarity and speed with negligible introduction of errors.     

Fostering multimedia learning of science: Exploring the role of an animated agent’s image

Research suggests that students learn better when studying a picture coupled with narration rather than on-screen text in a computer-based multimedia learning environment. Moreover, combining narration with the visual presence of an animated pedagogical agent may also encourage students to process information deeper than narration or on-screen text alone. The current study was designed to evaluate three effects among students learning about the human cardiovascular system: the modality effect (narration vs. on-screen text), the embodied agent effect (narration + agent vs. on-screen text), and the image effect (narration + agent vs. narration). The results of this study document large and significant embodied agent and image effects on the posttest (particularly retention items) but surprisingly no modality effect was found. Overall, the results suggest that incorporating an animated pedagogical agent – programmed to coordinate narration with gaze and pointing – into a science-focused multimedia learning environment can foster learning.     

The comparative effect of individually-constructed vs. collaboratively-constructed computer-based concept maps

The researchers investigated the comparative effects of individually-constructed and collaboratively-constructed computer-based concept mapping on middle school science concept learning. One hundred and sixty one students completed the entire study. Using prior science performance scores to assure equivalence of student achievement across groups, students were assigned to three groups: a self-selected study strategy group, an individual-concept mapping group, and a collaborative pairs – concept mapping group. Collaboratively and individually-constructing computer-based concept maps had equally positive effects on seventh grade middle school science concept learning as measured on a comprehension test. However, the students who collaboratively constructed concept maps created significantly higher quality concept maps than those who individually constructed concept maps indicating deeper conceptual understanding.     

Empirical performance comparison of selective and constructive induction

The paper provides the results of a performance comparison study of two symbolic learning programs, both based on the AQ15c learning algorithm. The first program uses a single representation space, while the second one utilizes constructive induction, which changes the representation space. The performance of the compared systems was analyzed using three empirical error rates, including the overall, commission and omission error rates. These were determined by applying the hold-out, 10-fold, and leave-one-out sampling methods. Both systems' performance was calculated for individual stages in a multi-stage knowledge-acquisition process. Learning curves and their envelopes were prepared. The study was conducted using a set of 384 optimal designs of wind bracing in steel skeleton structures of tall buildings. The research methodology and the two learning systems used in the experiments are described, all numerical results are provided, and the conclusions of the research are given.