Exploring relations among college students’ prior knowledge,implicit theories of intelligence,and self-regulated learning in a hypermedia environment

Researchers and educators continue to explore how to assist students in the acquisition of conceptual understanding of complex science topics. While hypermedia learning environments (HLEs) afford unique opportunities to display multiple representations of these often abstract topics, students who do not engage in self-regulated learning (SRL) with HLEs often fail to achieve conceptual understanding. There is a lack of research regarding how student characteristics, such as prior knowledge and students’ implicit theory of intelligence (ITI), interact with SRL to influence academic performance. In this study, structural equation modeling was used to investigate these issues. It was found that prior knowledge and ITI were related to SRL and performance, and that SRL acted as a benevolent moderator, enhancing the positive effects of prior knowledge upon learning, and diminishing the negative effects of having a maladaptive ITI.     

Fostering historical knowledge and thinking skills using hypermedia learning environments: The role of self-regulated learning

In this study, we examined how high-school students utilized a hypermedia learning environment (HLE) to acquire declarative knowledge of a historical topic, as well as historical thinking skills. In particular, we were interested in whether self-regulated learning (SRL; Winne & Hadwin, 1998; Zimmerman, 2000) processing was related to the acquisition of declarative knowledge and historical thinking. We found that, using the HLE, participants did learn from pretest to posttest, and that they most often engaged in strategy use SRL processes. However, the frequency of participant use of planning SRL processes, not strategy use, was predictive of learning. This study has implications for how educators use HLEs to foster historical thinking skills, and suggests that scaffolding planning skills may facilitate students’ use of computers as cognitive and metacognitive tools for learning (Azevedo, 2005; Lajoie, 2000).     

The effect of scaffolding students’ context-generating cognitive activity in technology-enhanced case-based learning

This study investigates the hypothesis that students’ learning and problem-solving performance in ill-structured domains can be improved, if elaborative question prompts are used to activate students’ context-generating cognitive processes, during case study. Two groups of students used a web-based learning environment to criss-cross and study case-based material in the software project management domain. The experimental group was additionally prompted to consistently answer a set of questions based on a model of context-generating processes, meant to engage students in deeper processing of information presented in cases. Students were also classified as having either “complex” or “simple” EB profile (based on their epistemological beliefs record), thereby establishing a 2 × 2 factorial design. Results indicated that scaffolding treatment had a significant main effect on students’ performance, with the experimental group performing better in both domain knowledge acquisition and knowledge transfer post-test items. There is also tentative indication that EB profile and scaffolding treatment interact, with complex-EB learners benefiting most from the scaffolded condition. Overall, the study provides evidence that it is possible to improve individual learning in a technology environment for case-based learning, by implementing appropriate questioning strategies that trigger students to activate their context-generating cognitive processes, while studying the contextually rich material of cases.     

Exploring the relation between learning style models and preferred multimedia types

There are many adaptive learning systems that adapt learning materials to student properties, preferences, and activities. This study is focused on designing such a learning system by relating combinations of different learning styles to preferred types of multimedia materials. We explore a decision model aimed at proposing learning material of an appropriate multimedia type. This study includes 272 student participants. The resulting decision model shows that students prefer well-structured learning texts with color discrimination, and that the hemispheric learning style model is the most important criterion in deciding student preferences for different multimedia learning materials. To provide a more accurate and reliable model for recommending different multimedia types more learning style models must be combined. Kolb's classification and the VAK classification allow us to learn if students prefer an active role in the learning process, and what multimedia type they prefer.     

Advancing young adolescents’ hypothesis-development performance in a computer-supported and problem-based learning environment

Hypothesis development is a complex cognitive activity, but one that is critical as a means of reducing uncertainty during ill-structured problem solving. In this study, we examined the effect of metacognitive scaffolds in strengthening hypothesis development. We also examined the influence of hypothesis development on young adolescents’ problem-solving performance. Data was collected from sixth-grade students (N = 172) using a computer-supported problem-based learning environment, Animal Investigator. The findings of the study indicated that participants using metacognitive scaffolds developed significantly better hypotheses and that hypothesis-development performance was predictive of solution-development performance. This article discusses further educational implications of the findings and future research.     

Effects of multidimensional concept maps on fourth graders’ learning in web-based computer course

This study explores the effect of multidimensional concept mapping instruction on students’ learning performance in a web-based computer course. The subjects consisted of 103 fourth graders from an elementary school in central Taiwan. They were divided into three groups: multidimensional concept map (MCM) instruction group, Novak concept map (NCM) instruction group, and traditional textbook (TT) instruction group. Four weeks of experimental instructions were given to the three groups, respectively. Students’ progresses were examined by pre-test and post-test measurements. The experimental results suggested that subjects in the MCM group performed significantly better than those in the NCM group which in turn performed significantly better than those in the TT group. Pedagogical implications were addressed, and conclusion and some suggestions were given.     

Designing hypermedia tools for solving problems in mathematics

This article presents the design and preparation using hypermedia tools of an interactive CD-ROM for the active teaching and learning of diverse problem-solving strategies in Mathematics for secondary school students. The use of the CD-ROM allows the students to learn, interactively, the heuristic style of solving problems. A range of problems has been used, each of which requires different solving strategies. A complementary section for consulting the theoretical foundations for the process of solving problems and other related information is also included on the CD-ROM. This section provides both theoretical and curriculum support for teachers.     

Thinking style,browsing primes and hypermedia navigation

There is a common assumption that hypermedia navigation is influenced by a learner’s style of thinking, so people who are inclined to apply sequential and analytical strategies (left-thinkers) are thought to browse hypermedia in a linear way, whereas those who prefer holistic and intuitive strategies (right-thinkers) tend towards non-linear paths. An experiment was conducted to study both the effects of students’ style of thinking on hypermedia navigation and the effects of primes aimed at inducing them to browse the hypermedia according to a given strategy. Two hundred undergraduates in different faculties were asked to visit a website. Navigation was preceded by some initial tasks (primes) that activated either the left- or the right-thinking style; 50 men and 50 women were randomly assigned to each of the two kinds of primes. Then participants were free to browse the hypermedia and navigational paths were tracked down. When navigation had been completed, a questionnaire measuring a preference for either the left- or the right-thinking style was filled out by participants. Analyses showed that primes influenced hypermedia navigation, leading participants to apply strategies consistent with the initial tasks. The participants’ age and faculty did not influence their behaviour in navigation. Gender and frequency of computer use determined some minor differences in hypermedia browsing, whereas there was no evidence of any relationship between thinking style and behaviour in navigation.     

The interplay between cognitive and motivational variables in a supportive online learning system for secondary physical education

A path model was used to test the unique and interactive effects of cognitive and motivational variables when learning in a supportive online learning system, Collaborative Inquiry System (CIS). In this student-centered learning environment, students interact with computer simulations and are assisted by online scaffolds intended to help them learn complex scientific concepts. The present study also explored the relationships between students’ motivational, cognitive, and metacognitive strategy use and online performance. In total, 178 tenth-grade students participated in the study. The statistical analyses revealed that students’ learning goals and cognitive preferences predicted metacognitive strategy use and later influenced their performance. Prior knowledge is a predictor of neither metacognitive strategy use nor learning goals and need for cognition, but is nevertheless an important determinant of online performance. Discussions on how to accommodate the different needs of students with varying levels of prior knowledge, goal orientation, and cognitive preference in a supportive learning system are provided based on the results.     

Effects on learning of multimedia animation combined with multidimensional concept maps

This study investigates whether teaching materials combining multimedia animation and multidimensional concept maps (MAMCMs) improve learning achievement, retention, and satisfaction more than multidimensional concept maps (MCMs), as suggested by Huang et al. (2012) in Computers & Education. Learning retention, learning achievement, and learning satisfaction associated with two sets of course materials were compared in this quasi-experimental study. In total, 114 students from two classes at one private university in Taiwan participated in this 6-week teaching experiment. Analytical results indicate that learning achievement, learning satisfaction, and learning retention of the MAMCM group were better than those of the MCM group. Pedagogical implications and suggestions are given.     

Exploring relationships between students’ interaction and learning with a haptic virtual biomolecular model

This study explores tertiary students’ interaction with a haptic virtual model representing the specific binding of two biomolecules, a core concept in molecular life science education. Twenty students assigned to a haptics (experimental) or no-haptics (control) condition performed a “docking” task where users sought the most favourable position between a ligand and protein molecule, while students’ interactions with the model were logged. Improvement in students’ understanding of biomolecular binding was previously measured by comparing written responses to a target conceptual question before and after interaction with the model. A log-profiling tool visualized students’ movement of the ligand molecule during the docking task. Multivariate parallel coordinate analyses explored any relationships in the entire student data set. The haptics group produced a tighter constellation of collected final docked ligand positions in comparison with no-haptics students, coupled to docking profiles that depicted a more fine-tuned ligand traversal. Students in the no-haptics condition employed double the amount of interactive behaviours concerned with switching between different visual chemical representations offered by the model. In the no-haptics group, this visually intense processing was synonymous with erroneously ‘fitting’ the ligand closer distances to the protein surface. Students who showed higher learning gains tended to engage fewer visual representational switches, and were from the haptics group, while students with a higher spatial ability also engaged fewer visual representational switches, irrespective of assigned condition. From an information-processing standpoint, visual and haptic coordination may offload the visual pathway by placing less strain on visual working memory. From an embodied cognition perspective, visual and tactile sensorimotor interactions in the macroworld may provide access to constructing knowledge about submicroscopic phenomena. The results have cognitive and practical implications for the use of multimodal virtual reality technologies in educational contexts.     

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.     

Towards new forms of knowledge communication: the adaptive dimension of a web-based learning environment

Adaptive Educational Hypermedia Systems aim to increase the functionality of hypermedia by making it personalised to individual learners. The adaptive dimension of these systems mainly supports knowledge communication between the system and the learner by adapting the content or the appearance of hypermedia to the knowledge level, goals and other characteristics of each learner. The main objectives are to protect learners from cognitive overload and disorientation by supporting them to find the most relevant content and path in the hyperspace. In the approach presented in this paper, learners' knowledge level and individual traits are used as valuable information to represent learners' current state and personalise the educational system accordingly, in order to facilitate learners to achieve their personal learning goals and objectives. Learners' knowledge level is approached through a qualitative model of the level of performance that learners exhibit with respect to the concepts they study and is used to adapt the lesson contents and the navigation support. Learners' individual traits and especially their learning style represent the way learners perceive and process information, and are exploited to adapt the presentation of the educational material of a lesson. The proposed approach has been implemented through various adaptation technologies and incorporated into a prototype hypermedia system. Finally, a pilot study has been conducted to investigate system's educational effectiveness.     

The influence of student characteristics on the use of adaptive e-learning material

Adaptive e-learning materials can help teachers to educate heterogeneous student groups. This study provides empirical data about the way academic students differ in their learning when using adaptive e-learning materials. Ninety-four students participated in the study. We determined characteristics in a heterogeneous student group by collecting demographic data and measuring motivation and prior knowledge. We also measured the learning paths students followed and learning strategies they used when working with adaptive e-learning material in a molecular biology course. We then combined these data to study if and how student characteristics relate to the learning paths and strategies they used. We observed that students did follow different learning paths. Gender did not have an effect, but (mainly Dutch) BSc students differed from (international) MSc students in the intrinsic motivation they had and the learning paths and strategies they followed when using the adaptive e-learning material.     

Exploring the relation between visualizer-verbalizer cognitive styles and performance with visual or verbal learning material

A student might find a certain representational format (e.g., diagram, text) more attractive than other formats for learning. Computer technology offers opportunities to adjust the formats used in learning environments to the preferences of individual learners. The question addressed in the current study was: does the match between a student’s preference regarding the format of learning materials have any relation with performance when learning with a specific format? For example, do learners with a preference for visual materials indeed perform better with visual learning materials? In a study with a pre-test post-test design, 48 participants were randomly assigned to one of two conditions. Both conditions completed a mathematical learning task about combinatorics and probability theory. In one condition learning materials were mainly diagram-based in the other condition they were mainly text-based. Afterward, the relations between cognitive style (visualizers-verbalizers), cognitive abilities (e.g., spatial and verbal ability), and learning performance were examined. The findings showed that cognitive style and learning outcomes were unrelated, for example, learners with a preference for visual materials do not necessarily perform better with visual learning materials. Learning results seem to be influenced by cognitive ability (in particular spatial visualization) and the extent to which a format affords cognitive processing, rather than a match between used and preferred format. It is argued that students should not choose on the basis of their preference, because it might lead them to selecting a format that is less effective for learning.     

A case study on using prediction markets as a rich environment for active learning

In this paper, prediction markets are presented as an innovative pedagogical tool which can be used to create a Rich Environment for Active Learning (REAL). Prediction markets are designed to make forecasts about specific future events by using a market mechanism to aggregate the information held by a large group of traders about that event into a single value. Prediction markets can be used to create decision scenarios which are linked to real-world events. The advantages of this approach in the cognitive and affective domains of learning are examined. The unique ability of prediction markets to enable active learning in large group teaching environments is explored. Building on this theoretical work, a detailed case study is presented describing how a prediction market can be deployed as a pedagogical tool in practice. Empirical evidence is presented exploring the effect prediction market participation has on learners in the cognitive domain.     

Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011

Implementing instructional interventions to accommodate learner differences has received considerable attention. Among these individual difference variables, the empirical evidence regarding the pedagogical value of learning styles has been questioned, but the research on the issue continues. Recent developments in Web-based implementations have led scholars to reconsider the learning style research in adaptive systems. The current study involved a content analysis of recent studies on adaptive educational hypermedia (AEH) which addressed learning styles. After an extensive search on electronic databases, seventy studies were selected and exposed to a document analysis. Study features were classified under several themes such as the research purposes, methodology, features of adaptive interventions and student modeling, and findings. The analysis revealed that the majority of studies proposed a framework or model for adaptivity whereas few studies addressed the effectiveness of learning style-based AEH. Scales were used for learning style identification more than automatic student modeling. One third of the studies provided a framework without empirical evaluation with students. Findings on concrete learning outcomes were not strong enough; however, several studies revealed that suggested models influenced student satisfaction and success. Current trends, potential research gaps and implications were discussed.     

How science students can learn about unobservable phenomena using computer-based analogies

A novel instructional computer simulation that incorporates a dynamic analogy to represent Le Chatelier’s Principle was designed to investigate the contribution of this feature to students’ understanding. Two groups of 12th grade Chemistry students (n = 15) interacted with the computer simulation during the study. Both groups did the same pre-instructional and simulation activities except one of the groups interacted with the analogical example in the simulation and the other group was asked to recall an analogy that was presented in the form of text and pictures. A statistical analysis of the tests administered at the end of the study suggested that analogies that are dynamic, interactive, and integrated in a computer simulation may have a stronger effect on learning outcomes than analogies which are presented in the form of text and static pictures. The implication of this study for science educators is that dynamic computer-based analogies can enhance student learning of unobservable phenomena in science.     

Using animations and visual cueing to support learning of scientific concepts and processes

The purpose of the study is to investigate the potential benefits of using animation, visual cueing, and their combination in a multimedia environment designed to support learners’ acquisition and retention of scientific concepts and processes. Undergraduate participants (N = 119) were randomly assigned to one of the four experimental conditions in a 2 × 2 factorial design with visual presentation format (animated vs. static graphics) and visual cueing (visual cues vs. no cues) as factors. Participants provided with animations retained significantly more concepts than their peers provided with static graphics and those afforded visual cues learned equally well but in significantly less time than their counterparts in uncued conditions. Moreover, taking into consideration both learning outcomes and learning time, cued participants displayed more instructional efficiency than their uncued peers. Implications and future directions are discussed.