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.     

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.     

Measuring self-regulation in online and blended learning environments

In developing the Online Self-regulated Learning Questionnaire (OSLQ) to address the need for an instrument measuring self-regulation in the online learning environment, this study provides evidence toward the reliability and validity of the instrument. Data were collected from two samples of students. The first sample of students took coursework using an online course format while a second sample of students took coursework delivered via a blended or hybrid course format. Cronbach alpha (α) and confirmatory factor analyses were performed to assess the psychometric properties of the OSLQ across both samples of students. Results indicate the OSLQ is an acceptable measure of self-regulation in the online and blended learning environments.     

The relation between self-regulation and the embedding of support in learning environments

The current study investigates whether embedding support may provide a solution to sub optimal use of support and whether this is related to learners’ self-regulation skills and goal orientation. Sixty students were divided in a condition where support was embedded and a condition where support was non-embedded. Results reveal that the embedded group used more and spent more time on the use of support. Quality of use differed for one support device only, with quality being higher in the non-embedded group. An interaction with self-regulation was found. High self-regulators use the support devices less optimal when support is embedded. No conclusions could be drawn with respect to goal orientation. Quality of usage and proportional time spent on support influenced learning outcomes.     

The contribution of emotionality and self-regulation to the understanding of children's response to multiple risk

This study investigated the additive and interactive effects of multiple risk, emotionality, and self-regulation in predicting children's adjustment problems and positive adjustment using a community sample (N = 101) of children in third through fifth grades. Multiple measures of emotionality and self-regulation were used, including observational measures and mother and child report on questionnaires. Results indicated that questionnaire measures of emotionality and self-regulation predicted children's positive and negative adjustment over and above the effects of multiple risk, as well as resilience and vulnerability. Negative emotionality predicted adjustment problems, positive emotionality predicted positive adjustment, and self-regulation predicted both. In addition, observational measures of self-regulation moderated the association between multiple risk and adjustment such that children low in self-regulation were more vulnerable to multiple risk. The results suggest that emotionality and self-regulation operate as additional risk and protective factors in multiple-risk models.     

In search of attributes that support self-regulation in blended learning environments

Blended forms of learning have become increasingly popular. Learning activities within these environments are supported by a large variety of online and face-to-face interventions. However, it remains unclear whether these blended environments are successful, and if they are, what makes them successful. Studies suggest that blended learning challenges the self-regulatory abilities of learners, though the literature does little to explain these findings; nor does it provide solutions. In particular, little is known about the attributes that are essential to support learners and how they should guide course design. To identify such attributes and enable a more thoughtful redesign of blended learning environments, this systematic literature review (n?=?95) examines evidence published between 1985 and 2015 on attributes of blended learning environments that support self-regulation. The purpose of this review is therefore to identify and define the attributes of blended learning environments that support learners’ self-regulatory abilities. Seven key attributes were found (authenticity, personalization, learner-control, scaffolding, interaction, cues for reflection and cues for calibration). This review is the first to identify and define the attributes that support self-regulation in blended learning environments and thus to support the design of blended learning environments. This study may serve to facilitate the design of blended learning environments that meet learners’ self-regulatory needs. It also raises crucial questions about how blended learning relates to well-established learning theories and provides a basis for future research on self-regulation in blended learning environments.     

Selective use of animation and feedback in computer-based instruction

The effects of two computer-based instructional strategies—visual display and feedback type—were investigated in the acquisition of electronic troubleshooting skills. Animation was used to simulate the functional behaviors of electronic circuits and to demonstrate the troubleshooting procedures. The first hypothesis tested was that animated visual displays would be more effective than static visual displays if animation was selectively used to support the specific learning requirements of a given task. Results supported this hypothesis by showing that college students in the animated visual display condition needed significantly fewer trials than those in the static visual display condition. The second hypothesis was that the effectiveness of intentionally mediated feedback (knowledge of results or explanatory information) would be minimal if natural feedback—the system's automatic functional reaction to external inputs—was available and the subject had the basic knowledge needed to understand the system functions. The results supported this hypothesis. Overall, this study implies that instructional strategies, including visual displays and feedback, should be applied selectively based on the specific learning requirements of a given task. he works at ARI as a research fellow of the Universities of the Washington Metropolitan area. The opinions expressed herein are those of the authors and do not express or imply the views of the U. S. Army Research Institute or the Department of Defense. The authors would like to thank Eric C. Neiderman and Reginald Hopkins for their assistance with this study.     

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.     

The use of speech feedback by normal and disabled readers in computer-based reading practice

Disabled readers and normal beginning readers were compared on requesting help in the form of speech feedback during computer-based word reading. It was also examined whether it is best to give feedback on all words or to allow the disabled readers to choose. Normal beginning readers and reading-age matched pupils with reading problems engaged in reading practice with speech feedback on call for both difficult and easy words. A set of both difficult and easy sums was completed as a control task. Another group of reading-disabled pupils who were also matched on reading level practiced the reading of words with unsolicited speech feedback. In the first two groups the selectivity in requesting help in both the reading and arithmetic task was assessed. All subjects were tested on the reading of both practiced and nonpracticed words. The results indicate that both disabled readers and beginners were very sensitive to sum difficulty but not to word difficulty, though in the present study the students were more selective than in a previous study. The inclusion of more easy words might account for this finding. The beginners requested help only during the first sessions of reading practice, whereas the disabled readers remained dependent on the speech feedback. The reading-disabled pupils did not learn less when the computer unsolicitedly delivered the spoken form of all words than when they were allowed to choose. It is discussed how profits from the different speech feedback procedures by disabled readers might be related to word decoding skill and metacognitive monitoring.     

The use of language in understanding subject matter

Empirical results show that frequently the meaning of expressions used by students in expressing their understanding of subject matter does not correspond to the meaning of those expressions in the subject matter theory that the students are expected to learn. There is also often a lack of identity of meaning between the same students’ use of the same expression from one use of the expression to another, in very similar contexts. The context gives a specific meaning to any expression. This variation in context and meaning is very central to the phenomena of teaching and learning. In educational research there is a need to differentiate between specific meanings expressed in conceptualizing subject matter, on the one hand, and concepts and meanings seen as parts of cognitive systems and social languages, on the other. The contextual character of the use of language is crucial to the understanding of teaching and learning and needs to be more carefully considered. The article is a discussion of the problem of varying meanings of language expressions in relation to major traditions of research, focusing on meanings and concepts within the field of learning and teaching.     

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.     

Uses of video in understanding and improving mathematical thinking and teaching

This article characterizes my use of video as a tool for research, design and development. I argue that videos, while a potentially overwhelming source of data, provide the kind of large bandwidth that enables one to capture phenomena that one might otherwise miss; and that although the act of taping is in itself an act of selection, there is typically enough shown in a video that it rewards multiple watching and supports the kinds of arguments over data that are essential for theory testing and replication. In pragmatic terms, video presents phenomena in ways that have an immediacy that is tremendously valuable. I discuss ways in which videos help students and teachers focus on phenomena that might otherwise be very hard to grapple with. This article begins with a brief review of my uses of video, almost 40 years ago, for research and development in problem solving. It then moves to the discussion of very fine-grained research on learning and decision making. The bulk of the article is devoted to a discussion of the teaching for robust understanding (TRU) framework, which was derived in large measure from the extensive review of classroom videotapes, and which serves as the basis for an extensive program of pre-service and in-service professional development. The professional development relies heavily on the use of videos to convey the key ideas in TRU, and to help teachers plan and review instruction.     

The use of laboratory systems in improving university teaching

The problem of improving university teaching is reviewed and is seen as part of the process of re-education and change analysed by Lewin (1948) and others. A teaching laboratory is proposed including provision for feedback mechanism, self-confrontation processes, simulation and micro-teaching. Case studies of the use of micro-teaching and video recording are reported.