A methodology for characterizing computer-based learning environments

This paper presents a methodology for characterizing computer-based learning environments, focusing on the cognitive, pedagogical, and interactive features. The framework for this characterization is explained in relation to the relevant theories and findings in cognitive and instructional research. The methodology is illustrated by a characterization of computer-based learning environments developed by student teachers and professionals. The usability of these environments is analyzed along the dimensions of the framework presented. The results showed that this methodology can systematically and precisely characterize the cognitive, pedagogical, and interactive features of computer-based learning environments. It can be used to predict and explain the success or failure that a given software program promotes for learning particular types of knowledge. The applications of this methodology for the evaluation and design of computer-based learning environments, for instructional research in various instructional contexts, as well as for the study of expertise in the development of computer-based learning environments, are discussed.     

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.     

Evaluating the use of metaphor in online learning environments

Metaphor appears to be an innate tendency in human communication and can be shown to have significant potential when applied to the design of online learning environments. This paper describes and discusses an example of an online research methods learning resource that employs metaphoric navigation. Feedback from the tutors who design and populate the resource and from early pilots with student users is discussed. A particular focus for the discussion is the problem faced by sufferers of autism spectrum disorder, brain damage, and other cognitive disabilities that affect the comprehension of metaphor. Research that demonstrates that autistic tendencies also exist in members of the general population is also discussed as an important consideration in learning environment design. The paper concludes that there appears to be evidence that many people in the general population have traits associated with autism spectrum disorder that are likely to affect their engagement with online learning. This variation in approaches to learning strongly suggests that one single online environment is unlikely to facilitate learning equally in all students. Currently most learning sites and commercial and open source virtual learning environments offer some facility for customization of the interface, but no opportunity for students to choose from a range of environments in which to study. This paper argues that the creation of multiple learning environments which overlay the same learning content is a priority if we are to optimize the experience for the greatest number of learners and avoid exclusion due to disability or learning preferences.     

Cooperative learning in computer-based instruction

High equipment and materials costs, limited access to computers for instruction in many schools, and the success of cooperative learning strategies in traditional classroom instruction have prompted researchers to examine the potential of cooperative computer-based instruction (CBI). In this article, recent research on cooperative CBI is reviewed and findings related to achievement, patterns of study, social interchange, motivation, and gender are discussed. In addition, guidelines on the implementation of cooperative CBI that have been gleaned from the literature are presented.This paper was prepared with partial support from MECC/University of Minnesota Center for Study of Educational Technology, and presented at the AECT Annual Convention, January 31–February 4, 1990, Anaheim, CA.     

The effects of mandatory and optional use on students' ratings of a computer-based learning package

Continuing developments in educational technology and increasing undergraduate numbers in the UK have facilitated the use of computer‐based learning packages. One of the effects of the increasing use of these packages is the shift in teaching of material from being primarily lecturer‐led to student‐driven. This has a number of implications concerning using the package, since it is quite likely that students will be working in isolation, and the use of the package may be mandatory or optional. In this study we report on the usefulness ratings of a software package for undergraduate use within the context of whether or not students choose to use it. Level 1 students and lecturers in Economics were surveyed at three UK universities. Findings indicate that students whose use was mandatory rated the learning package as more useful than those whose use was optional. Reasons for non‐use centred on lack of instruction and on student apathy. These results have important implications for the use of computer‐based learning packages and for understanding user attitudes.     

The triarchic theory of intelligence and computer-based inquiry learning

Sternberg's (1985) triarchic theory of human intelligence distinguished among three types of intellectual abilities: analytic, creative, and practical. Our study explored the relationships between student abilities and the cognitive and attitudinal outcomes that resulted from student immersion in a computer-based inquiry environment. In particular, we examined outcome variables related to content understanding, problem solving, and science-related attitudes. Results indicated that more practical abilities predicted greater content understanding and transfer of problem-solving skills. High analytic abilities were predictive of content understanding but not transfer of problem-solving skills. High creative abilities predicted problem solving, but were not predictive of performance on content understanding. In terms of science-related attitudes, students who were dominant in practical abilities had significantly more positive posttest attitudes than those dominant in analytic abilities. The results from this study were used to make recommendations regarding design principles used in the subsequent development of computer-based inquiry environments.     

Cooperative learning and computer-based instruction

Much published research focuses on the benefits of learning in small groups. However, little research has differentiated small-group learning methods or considered the implications of related research for designing instructional software. In this article, the origins of small-group learning are traced, and one method, cooperative learning, is distinguished from other small-group learning methods. The instructional and social benefits of cooperative learning are examined and theoretical explanations for the effects of grouping are presented. Finally, issues relevant to designing instructional software for cooperative learning are examined and suggestions for future research are made.Thanks are extended to Jim Klein for his review of an earlier version of this paper.     

Probing personal knowledge: The use of a computer-based tool to help preservice teachers map subject matter knowledge

This paper reports on the use of a HyperCard^TM-based tool to create and modify concept maps about science related subject matter. The tool was trialed with seventy-one preservice teachers who were planning to teach a science topic to a primary school class. Data gathered from interviews, journals and analysis of concept maps indicated that the concept mapping tool was easy to use because it generated little cognitive load and quickly became transparent to the users. This allowed preservice teachers to focus their attention upon the construction of their maps and to organise their cognitive frameworks into more powerful integrated patterns. It was also found that the process of concept map construction may enhance preservice teacher thinking about effective teaching.     

A study of present use and usefulness of computer-based learning at a technical university

This article is based on a survey carried out at Imperial College, to understand better needs, problems, advantages/disadvantages and solutions in the use of new technologies in a specific context, such as engineering education. In comparison with other research on this matter, perceptions, benefits and barriers to using computer-assisted learning and information and communication technologies in higher education, the present study reveals something more about the use of educational technologies in scientific subjects: many lecturers believe that technical subjects do appear to benefit greatly from the ability to teach using real-life computer simulations which help with student motivation and understanding. Moreover, the use of computers allows practical experiences and help in data analysis, and often work would be impossible without computers. Nevertheless, the survey results indicate that, although there are many advantages in the use of computers in teaching and learning, there are many difficulties for lecturers in using the new technologies because of logistical problems, such as lack of time, technical support, appropriate software and hardware, etc. There is a need to consider what support can be offered and how, on a national level.     

Tool use in open learning environments: In search of learner-related determinants

Open learning environments (OLEs) assume that learners are good self-regulators. In such environments, learners have a large amount of control and decide on the use of different support devices (i.e. tools). However, research clearly suggests that, because students often do not possess the necessary regulation skills, they cannot decide what tool might be beneficial for their learning. This contribution deals with the impact of three metacognitive variables on tool use in OLEs: students’ regulation activities; help-seeking behaviour; and instructional conceptions. Results reveal that these student characteristics affect tool use and that their impact is moderated by environmental factors, especially advice.     

The role of learning environments in thinking styles

The present study examined the association between students’ perceived general learning environment and their thinking styles (a specific term for ‘intellectual styles’). Seven hundred and fifty-two undergraduates in Shanghai responded to the Thinking Style Inventory-Revised II and the Inventory of Students’ Perceived Learning Environment. Results indicated that students’ perceived learning environment statistically predicted their thinking styles beyond gender, grade, major, and socio-economic status. Specifically, constructivist-oriented teaching, as well as peer morale and identities, were mainly associated with thinking styles that are characterised by cognitive complexity, nonconformity, autonomy and low degrees of structure (known as Type I styles), while clear goals and coherence of curricula mainly statistically predicted thinking styles that are characterised by cognitive simplicity, conformity, authority, and high degrees of structure (known as Type II styles). Student–student cooperation, the nature of assessment and assignments and learning facilities also statistically contributed to thinking styles to varying extents. The implications and limitations of the present findings are discussed.     

The relative effectiveness of learning options in multimedia computer-based fifth-grade spelling instruction

The study examined the effectiveness of learning options in two researcher-designed interactive multimedia instructional spelling programs, one offering predominantly behaviorist-visual learning options of the type employed by many current commercial spelling instructional programs and one offering predominantly cognitivist-phonological learning options of the type recommended by spelling research. The pretest-posttest control group study lasted one school month with students working each day for 10 minutes with their assigned computer program. Although both treatment groups demonstrated significant increases in spelling ability, there was no significant difference in adjusted posttest performance between the two groups. Examination of the influence of individual learning options in the two programs demonstrated that Spot It, a behaviorist-visual option, and Word Crunch, a cognitivist-phonological option, appear to account for most of the power in their treatments. The authors discuss how clusters of learning options affect performance and consider possible explanations for differences in relative effectiveness among learning options.This article reports Dr. Susan C. Goodling's dissertation work under him.     

An investigation into students' use of a computer-based social learning space: lessons for facilitating collaborative approaches to learning

Provision of computers in universities for self‐study is taken for granted and is seen as a “must have” educational resource, yet it is very expensive to fund. Students report that they use the Internet as their first stop in approaching research tasks. Learning theorists posit the important role of social interaction in contributing to learning. The use of collaborative methodologies such as group work also illustrate the importance, and perceived beneficial role of, learning with others. However, in general, student access to computers for self‐study in UK Higher Education is provided through large rooms furnished with serried ranks of computers, which do not allow or encourage computer‐based collaborative working. This study addresses this mismatch between approaches to learning and the way universities make computers available to learners. The University of Wolverhampton provides a social learning space with 24 computers on four fishbone‐shaped tables, in a room without any restrictions on talking, eating, or drinking. It was provided so as to encourage learners to work collaboratively and to be able to integrate the use of a computer whilst doing so. This paper reports the initial findings of a study into its use, through questionnaires, observational data, and interviews. Has the provision of a computer‐based collaborative learning space positively affected approaches to computer‐based self‐study? The results of this study inform how best Higher Education institutions might provide computer access to learners so as to encourage collaborative working and positively affect student approaches to their learning.     

What counts as knowledge: learning to use categories in computer environments

In this article, I develop a perspective on learning as multilayered phenomena. I take a socio-genetic approach in order to understand human activity and to show how categories are a fundamental part of learning in a specific type of institutional practice. In the empirical section, student dialogue is analysed in relation to a set of categories taken from scientific discourse. The analysis illustrates how categories in the progressive inquiry model could guide students towards a more systematic orientation to problem solving.