Learning strategies in an 'ideal' computer-based learning environment

An experiment was conducted with 30 postgraduate students to discover how they might go about learning from an 'ideal' computer-based environment. A system was created which preserved the appearance of a computer-based interaction, yet which freed itself from the constraints of current technology. The students, although not aware of this at the time, were in fact interacting with two human experts, backed up with appropriate documentation and computer files, via a computer screen. The results suggest a number of different learning strategies linked to relatively successful and less successful learning. Implications for the design of computer-based learning materials are discussed.     

Effects of student-generated drawing and imagination on science text reading in a computer-based learning environment

Educational technology research and development - The purpose of this study was to examine the effects of student-generated drawing and imagination on learning recall, learning transfer, and...     

The factors influencing the outcome of solving story problems in a web-based learning environment

The aim of the present study was to investigate those factors influencing performance in solving story problems in a web-based environment. A situational simulation, “Hiking across Estonia,” was explored by two samples of voluntary groups of students, comprising 65 and 50 groups, respectively. They solved 25 ecological and environmental story problems and filled in a pre-test and post-test that evaluated problem-solving skills. The groups were clustered according to their characteristics and performance into five clusters: “slow learners,”“quick learners,”“successful learners,”“smart learners,” and “ineffective learners.” The clusters were provided with different types of supportive notes and the sequence of problems was rearranged according to the students' initial results in the first four problem-solving tasks. These treatments demonstrated statistically significant improvements in the outcome in solving story problems in small groups. The main factors determining the effectiveness of problem solving were: (i) time spent on learning; (ii) initial skills in problem-solving; (iii) the presence of support in enhancing situation awareness; (iv) graduated problem tasks sequenced on the basis of complexity and difficulty; (v) ratio of genders in a learning group. However, the importance of these factors depended on the cluster and, therefore, it can be concluded that the design of problem-solving instruction has to be adapted according to the clusters' characteristics.     

Relationships between students' meaningful learning orientation and their understanding of genetics topics

This study explored factors predicting the extent to which high school students (N = 140) acquired meaningful understanding of the biological topics of meiosis, the Punnett-square method, and the relationships between these topics. This study (a) examined mental modeling as a technique for measuring students' meaningful understanding of the topics, (b) measured students' predisposed, generalized tendency to learn meaningfully (meaningful learning orientation), (c) determined the extent to which students' meaningful learning orientation predicted meaningful understanding beyond that predicted by aptitude and achievement motivation, (d) experimentally tested two instructional treatments (relationships presented to students, relationships generated by students), (e) explored the relationships of meaningful learning orientation, prior knowledge, instructional treatment, and all interactions of these variables in predicting meaningful understanding. The results of correlations and multiple regressions indicated that meaningful learning orientation contributed to students' attainment of meaningful understanding independent of aptitude and achievement motivation. Meaningful learning orientation and prior knowledge interacted in unique ways for each topic to predict students' attainment of meaningful understanding. Instructional treatment had relatively little relationship to students' acquisition of meaningful understanding, except for learners midrange between meaningful and rote. These findings imply that a meaningful learning approach among students may be important, perhaps as much or more than aptitude and achievement motivation, for their acquisition of interrelated, meaningful understandings of science.     

The effectiveness of self-regulated learning scaffolds on academic performance in computer-based learning environments: a meta-analysis

This meta-analysis examined research on the effects of self-regulated learning scaffolds on academic performance in computer-based learning environments from 2004 to 2015. A total of 29 articles met inclusion criteria and were included in the final analysis with a total sample size of 2648 students. Moderator analyses were performed using a random effects model that focused on the three main areas of scaffold characteristics (including the mechanism, functions, delivery forms, mode, and number of scaffolds; how to promote self-regulated learning by scaffolds); demographics of the selected studies (including sample groups, sample size, learning domain, research settings, and types of computer-based learning environments); and research methodological features (including research methods, types of research design, types of organization for treatment, and duration of treatment). Findings revealed that self-regulated learning scaffolds in computer-based learning environments generally produced a significantly positive effect on academic performance (ES = 0.438). It is also suggested that both domain-general and domain-specific scaffolds can support the entire process of self-regulated learning since they demonstrated substantial effects on academic performance. Different impacts of various studies and their methodological features are presented and discussed.     

Using a computer learning environment for initial training in dealing with social-communicative problems

The most widely practised instructional method for the development of interpersonal skills is role-play. Role-play is supposed to be a complex learning environment for novices to develop interpersonal skills. The learning environment is complex because of two factors. Firstly, the cognitive load is high during social-communicative problem solving because the execution of all steps has to be taken immediately in a goal-directed dialogue. Moreover, social-communicative problem solving is acted out in a play. A computer learning environment for initial training in dealing with social-communicative problems is suggested to simplify and facilitate learning. A learning environment with computer-based role-plays has been piloted and evaluated. Two experiments have been examined the effect of the learning environment on interpersonal skill development. The results are described. The main conclusion is that the learning environment is considered as having the potential to assist in realizing effective gradual lead- into interpersonal skill development and instruction for novices.     

Encountering the expertise reversal effect with a computer-based environment on electrical circuit analysis

This study examined the effectiveness of a computer-based environment employing three example-based instructional procedures (example–problem, problem–example, and fading) to teach series and parallel electrical circuit analysis to learners classified by two levels of prior knowledge (low and high). Although no differences between the instructional procedures were observed, low prior knowledge learners benefited most from traditional example–problem pairs while their high prior knowledge counterparts benefited most from problem–example pairs. Overall, this study provides empirical support for the expertise reversal effect, which suggests that the effectiveness of certain instruction procedures in example-based learning environments depends upon the learners' level of prior knowledge.     

Meaningful learning,reasoning ability,and students' understanding and problem solving of topics in genetics

The purpose of this study was to explore relationships among school students' (N = 189) meaningful learning orientation, reasoning ability and acquisition of meaningful understandings of genetics topics, and ability to solve genetics problems. This research first obtained measures of students' meaningful learning orientation (meaningful and rote) and reasoning ability (preformal and formal). Students were tested before and after laboratory-based learning cycle genetics instruction using a multiple choice assessment format and an open-ended assessment format (mental model). The assessment instruments were designed to measure students' interrelated understandings of genetics and their ability to solve and interpret problems using Punnett square diagrams. Regression analyses were conducted to examine the predictive influence of meaningful learning orientation, reasoning ability, and the interaction of these variables on students' performance on the different tests. Meaningful learning orientation best predicted students' understanding of genetics interrelationships, whereas reasoning ability best predicted their achievement in solving genetics problems. The interaction of meaningful learning orientation and reasoning ability did not significantly predict students' genetics understanding or problem solving. Meaningful learning orientation best predicted students' performance on all except one of the open-ended test questions. Examination of students' mental model explanations of meiosis, Punnett square diagrams, and relationships between meiosis and the use of Punnett square diagrams revealed unique patterns in students' understandings of these topics. This research provides information for educators on students' acquisition of meaningful understandings of genetics. © 1996 John Wiley & Sons, Inc.     

Problems with learning from computer-based simulations: a case study in economics

This article reports research into student learning from a computer-based simulation in economics. The author argues that learning can be restricted by ambiguities in feedback and by sheer information overload. This view is supported by empirical evidence.     

The complexity of tool use in computer-based learning environments

Starting from Perkins’ (1985) framework, this study addresses tool use in a computerbased learning environment. In line with Perkins, first the effects of tool use on performance were investigated to gain insight into the functionality of the tools. Next, the influence of advice was studied to identify whether this advice could make students more knowledgeable with respect to the tools, and hence encourage them to make more (adequate) use of the tools. A third research question addressed learner related variables. The influence of metacognitive skills, goal orientation, and instructional conceptions on students’ tool use was investigated. An experimental design was used to address these research questions with one control group and two experimental groups, one with advice and one without advice. Results reveal that the tools were functional, the two experimental groups outperformed the control group. With respect to advice, the group of students receiving advice used tools more frequently and spent more time on their use. Finally, the study reveals mastery orientation to be an important variable. The more students are mastery oriented, the less they use tools.     

Collaborative problem-solving with a computer: How can an interactive learning environment be designed?

This study was designed to evaluate the effects of a «familiar» learning situation on the strategies used by students in a computer mediated interactive environment. We examine the strategies used by 14–15 year-old students in solving physics problems according to whether the technical situation was presented using a canonical version of an electric circuit (rules currently used in class) or a non-canonical version. Students worked either in pairs or individually with a computer. The results show that the dyads only performed better than individuals in the non-canonical version to the problem. The results are discussed in a perspective which offers a renewed approach of student-computer interaction.     

Opinions on computers, and efficacy of a computer-based learning: A pilot study

It is commonly believed that positive opinions of students and teachers on the possibilities entailed by computer use would increase the efficacy of computer-based educational processes. In turn, this amounts to postulate a relationship between measures of such opinions and well-defined patterns of interaction with computer-based educational tools. In this regard, this paper reports on an investigation performed in a primary school, designed to test whether expectations and opinions on computers, both of students and teachers, detected through suitable questionnaires, might be related to the effectiveness of computer use within a particular educational context. Our findings, contrarily to what expected, do not appear to support the hypothesis that a positive opinion on computers can lead per se to higher learning efficacy in a computer-based educational environment, as compared with a traditional educational setting.     

Taking a step towards understanding interactions between teacher efficacy in behavior management and the social learning environment: a two-level multilevel analysis

Behavior management in the classroom is well known for being a challenge and a source of stress for preservice and experienced teachers alike. This means it may not only impact teachers’ self-efficacy beliefs, but teachers’ efficacy perceived by their students too, engendering effects on the social learning environment and vice-versa. This article aims at taking a step towards a better understanding of which aspects of the social learning environment preservice teachers and their students take into account when positioning themselves on behavior management efficacy. It then goes onto exploring how students’ perception of teacher efficacy in behavior management varies across classes and how it interacts with the social learning environment through a two-level model analysis. Results showed that the social learning environment’s dimensions are associated with the perception of teacher efficacy by students. On one hand, students perceive that efficacy in behavior management is linked to the social learning environment and therefore expect that an efficient teacher in this area will be able to create a healthy relationship with appropriate rules and class organization. On the other, when it comes to preservice teachers, findings seem to show the importance of the training program and how it supports self-efficacy beliefs throughout first teaching experiences as results go in the direction of confirming that these beliefs stabilize fairly early on, because unlike the students, the preservice teachers seem to take other aspects than the learning environment into account while evaluating their self-efficacy regarding behavior management. Finally, this research adds yet another element to the observation that effective behavior management within the classroom requires a positive relationship between teachers and their students. In addition, the way rules and organization are taken into account by students demonstrates the need for a proactive approach in which teachers’ expectations are clear.

     

Accelerating decoding-related skills in poor readers learning a foreign language: a computer-based intervention

The results of Fast ForWord® training on English decoding-related skills were examined. Finnish fifth-grade students were identified as having reading fluency problems and poor skills in English as a foreign language learned at school and were randomly assigned to either a training group (TRG) or a control group. The TRG (n?=?13) received 50?min of daily computer program-based training for a period of approximately 10 weeks. Students in the first control group (n?=?11) received the school’s regular instructional programme. A second control group was composed of 14 average readers. The students’ English skills were examined in pre-test, post-test and follow-up measurements. The TRG students saw an acceleration in decoding-related skills. The educational implications of the results are discussed.     

Student activity and learning outcomes in a virtual learning environment

The aim of the study was to explore the relationship between degree of participation and learning outcomes in an e-learning course on medical informatics. Overall activity in using course materials and degree of participation in the discussion forums of an online course were studied among 39 medical students. Students were able to utilise the course material in discussion groups focusing on the lectures, quizzes and students’ own notes. Each student’s data recording of activities and individual participation in discussion in the online course was analysed in order to assess which activities predicted learning outcome. Higher course grades were associated with studying the course material frequently and also with regular participation in reading postings and replying to them. There were no connections between learning outcome and the students’ original contributions to the discussion forums. There were no statistically significant differences between male and female students in how they utilised the various components of the learning material.     

基于网络的大学英语个性化教学模式实验研究

本文介绍了基于网络的大学英语教学实验。结合英语教学实际,尝试对目前大学英语课程的课型、授课手段进行改革,构建一个以培养学生自主学习能力为中心的个性化的教学模式;改革单一课型,将基于计算机网络的引导式自主学习与课堂教学有机结合;设计并实施了为期两个学期的课程试验。试验结果证明,新的教学模式有助于提高学生的自主学习能力和语言综合能力。     

试论学习型社会中成人学习环境的创建

学习型社会要求全民确立终身学习的意识,全社会形成浓厚的学习氛围,以促进人的终身发展与完善。为此,要创建良好的学习环境,形成以家庭、社区和跨区域的网络学习环境。